The shelf · read live
Every model, and the plan that reaches it
Four boards, one per plan. Each lists what that plan can actually run, with the context window, what the model accepts, and what a million tokens costs.
The list comes from the Vercel AI Gateway, the specifications from models.dev, and the entitlements from the same rules the model picker enforces — so a model that ships this morning is on this page this morning.
OpenAI 86
Anthropic 31
Google 26
Alibaba 20
Spacexai 17
Z.ai 17
Meta 13
DeepSeek 12
MiniMax 9
Mistral 8
NVIDIA 8
Moonshot AI 7
InclusionAI 5
Tencent 5
Xiaomi 5
Amazon 4
Sakana 4
ByteDance 3
Inception 3
Inference Net 2
Morph 2
Poolside 2
Quiver AI 2
Reflection 2
Scaledown 2
StepFun 2
Thinking Machines 2
Arcee AI 1
Callstack 1
Cohere 1
Elorian 1
Fireworks 1
Interfaze 1
Liquid 1
Meituan 1
Mixedbread 1
Perplexity 1
Stealth 1310 models · 38 providers
Free
Small and fast models, enough to read a paper and ask about it. No card, no trial clock.
25 models
| Full details | ||||||
|---|---|---|---|---|---|---|
| Qwen3-14B alibaba/qwen-3-14b | 41K | text | 0.12 | 0.24 | — | |
| Qwen3-30B-A3B alibaba/qwen-3-30b | 41K | text | 0.12 | 0.5 | — | |
| Nova Lite amazon/nova-lite | 300K | 0.06 | 0.24 | 0.015 / 0.06 | ||
| Nova Micro amazon/nova-micro | 128K | text | 0.035 | 0.14 | 0.0088 / 0.035 | |
| Trinity Large Thinking arcee-ai/trinity-large-thinking | 262.1K | text | 0.25 | 0.8 | 0.06 / — | |
| DeepSeek V4 Flash deepseek/deepseek-v4-flash | 1M | text | 0.13 | 0.26 | 0.028 / — | |
| Mercury 2 inception/mercury-2 | 128K | text | 0.25 | 0.75 | 0.025 / — | |
| Mercury 2.5 inception/mercury-2.5 | 260K | text | 0.04 | 0.15 | 0.004 / — | |
| Mercury 3 inception/mercury-3 | 1M | text | 0.1 | 0.35 | 0.01 / — | |
| Llama 3.1 8B Instruct meta/llama-3.1-8b | 128K | text | 0.22 | 0.22 | — | |
| Llama-4-Scout-17B-16E-Instruct-FP8 meta/llama-4-scout | 128K | 0.17 | 0.66 | — | ||
| Ministral 14B mistral/ministral-14b | 262.1K | 0.2 | 0.2 | 0.02 / — | ||
| Ministral 3B (latest) mistral/ministral-3b | 131.1K | 0.1 | 0.1 | 0.01 / — | ||
| Ministral 8B (latest) mistral/ministral-8b | 262.1K | 0.15 | 0.15 | 0.015 / — | ||
| Mistral Nemo mistral/mistral-nemo | 131.1K | text | 0.029 | 0.03 | — | |
| Nemotron 3 Nano 30B A3B nvidia/nemotron-3-nano-30b-a3b | 262.1K | text | 0.05 | 0.2 | 0.025 / — | |
| Nemotron 3 Ultra nvidia/nemotron-3-ultra-550b-a55b | 1M | text | 0.6 | 2.40 | 0.12 / — | |
| Nemotron 3.5 Lightning 30B nvidia/nemotron-3.5-lightning | 262.1K | text | 0.05 | 0.2 | 0.01 / — | |
| Nemotron 3.5 Lightning Free nvidia/nemotron-3.5-lightning-free | 1M | text | 0 | 0 | — | |
| NVIDIA Nemotron 3 Super 120B A12B nvidia/nemotron-3-super-120b-a12b | 256K | text | 0.15 | 0.65 | — | |
| NVIDIA Nemotron 3.5 Super VL nvidia/nemotron-3.5-super-vl | 1M | 0.2 | 0.5 | 0.04 / — | ||
| Nvidia Nemotron Nano 12B V2 VL nvidia/nemotron-nano-12b-v2-vl | 131.1K | 0.2 | 0.6 | — | ||
| Nvidia Nemotron Nano 9B V2 nvidia/nemotron-nano-9b-v2 | 131.1K | text | 0.06 | 0.23 | — | |
| GPT OSS 20B openai/gpt-oss-20b | 131.1K | text | 0.03 | 0.14 | — | |
| gpt-oss-safeguard-20b openai/gpt-oss-safeguard-20b | 128K | text | 0.07 | 0.2 | — |
Go
Everything in Free, plus the mid-size workhorses — the first tier that can hold a long argument.
35 models
| Full details | ||||||
|---|---|---|---|---|---|---|
| Qwen 3.32B New alibaba/qwen-3-32b | 128K | text | 0.15 | 0.6 | — | |
| Qwen 3.5 Flash New alibaba/qwen3.5-flash | 1M | 0.1 | 0.4 | 0.01 / 0.125 | ||
| Qwen3-14B alibaba/qwen-3-14b | 41K | text | 0.12 | 0.24 | — | |
| Qwen3-30B-A3B alibaba/qwen-3-30b | 41K | text | 0.12 | 0.5 | — | |
| Nova Lite amazon/nova-lite | 300K | 0.06 | 0.24 | 0.015 / 0.06 | ||
| Nova Micro amazon/nova-micro | 128K | text | 0.035 | 0.14 | 0.0088 / 0.035 | |
| Trinity Large Thinking arcee-ai/trinity-large-thinking | 262.1K | text | 0.25 | 0.8 | 0.06 / — | |
| DeepSeek V4 Flash deepseek/deepseek-v4-flash | 1M | text | 0.13 | 0.26 | 0.028 / — | |
| Gemini 2.5 Flash Lite New google/gemini-2.5-flash-lite | 1M | 0.1 | 0.4 | 0.01 / — | ||
| Mercury 2 inception/mercury-2 | 128K | text | 0.25 | 0.75 | 0.025 / — | |
| Mercury 2.5 inception/mercury-2.5 | 260K | text | 0.04 | 0.15 | 0.004 / — | |
| Mercury 3 inception/mercury-3 | 1M | text | 0.1 | 0.35 | 0.01 / — | |
| Llama 3.1 8B Instruct meta/llama-3.1-8b | 128K | text | 0.22 | 0.22 | — | |
| Llama-3.3-70B-Instruct New meta/llama-3.3-70b | 128K | text | 0.72 | 0.72 | — | |
| Llama-4-Maverick-17B-128E-Instruct-FP8 New meta/llama-4-maverick | 128K | 0.24 | 0.97 | — | ||
| Llama-4-Scout-17B-16E-Instruct-FP8 meta/llama-4-scout | 128K | 0.17 | 0.66 | — | ||
| Ministral 14B mistral/ministral-14b | 262.1K | 0.2 | 0.2 | 0.02 / — | ||
| Ministral 3B (latest) mistral/ministral-3b | 131.1K | 0.1 | 0.1 | 0.01 / — | ||
| Ministral 8B (latest) mistral/ministral-8b | 262.1K | 0.15 | 0.15 | 0.015 / — | ||
| Mistral Nemo mistral/mistral-nemo | 131.1K | text | 0.029 | 0.03 | — | |
| Nemotron 3 Nano 30B A3B nvidia/nemotron-3-nano-30b-a3b | 262.1K | text | 0.05 | 0.2 | 0.025 / — | |
| Nemotron 3 Ultra nvidia/nemotron-3-ultra-550b-a55b | 1M | text | 0.6 | 2.40 | 0.12 / — | |
| Nemotron 3.5 Lightning 30B nvidia/nemotron-3.5-lightning | 262.1K | text | 0.05 | 0.2 | 0.01 / — | |
| Nemotron 3.5 Lightning Free nvidia/nemotron-3.5-lightning-free | 1M | text | 0 | 0 | — | |
| NVIDIA Nemotron 3 Super 120B A12B nvidia/nemotron-3-super-120b-a12b | 256K | text | 0.15 | 0.65 | — | |
| NVIDIA Nemotron 3.5 Super VL nvidia/nemotron-3.5-super-vl | 1M | 0.2 | 0.5 | 0.04 / — | ||
| Nvidia Nemotron Nano 12B V2 VL nvidia/nemotron-nano-12b-v2-vl | 131.1K | 0.2 | 0.6 | — | ||
| Nvidia Nemotron Nano 9B V2 nvidia/nemotron-nano-9b-v2 | 131.1K | text | 0.06 | 0.23 | — | |
| GPT OSS 20B openai/gpt-oss-20b | 131.1K | text | 0.03 | 0.14 | — | |
| GPT-4.1 nano New openai/gpt-4.1-nano | 1M | 0.1 | 0.4 | 0.025 / — | ||
| GPT-4o mini New openai/gpt-4o-mini | 128K | 0.15 | 0.6 | 0.075 / — | ||
| GPT-5 Nano New openai/gpt-5-nano | 400K | 0.05 | 0.4 | 0.005 / — | ||
| gpt-oss-safeguard-20b openai/gpt-oss-safeguard-20b | 128K | text | 0.07 | 0.2 | — | |
| GLM 4.7 Flash New zai/glm-4.7-flash | 200K | text | 0.07 | 0.4 | — | |
| GLM 4.7 FlashX New zai/glm-4.7-flashx | 200K | text | 0.06 | 0.4 | 0.01 / — |
Plus
Everything in Go, plus reasoning models, million-token windows and the fast frontier tiers.
51 models
| Full details | ||||||
|---|---|---|---|---|---|---|
| Qwen 3.32B alibaba/qwen-3-32b | 128K | text | 0.15 | 0.6 | — | |
| Qwen 3.5 Flash alibaba/qwen3.5-flash | 1M | 0.1 | 0.4 | 0.01 / 0.125 | ||
| Qwen3 235B A22B Instruct 2507 New alibaba/qwen-3-235b | 262.1K | text | 0.22 | 0.88 | — | |
| Qwen3-14B alibaba/qwen-3-14b | 41K | text | 0.12 | 0.24 | — | |
| Qwen3-30B-A3B alibaba/qwen-3-30b | 41K | text | 0.12 | 0.5 | — | |
| Nova Lite amazon/nova-lite | 300K | 0.06 | 0.24 | 0.015 / 0.06 | ||
| Nova Micro amazon/nova-micro | 128K | text | 0.035 | 0.14 | 0.0088 / 0.035 | |
| Trinity Large Thinking arcee-ai/trinity-large-thinking | 262.1K | text | 0.25 | 0.8 | 0.06 / — | |
| DeepSeek V3.2 New deepseek/deepseek-v3.2 | 128K | text | 0.62 | 1.85 | — | |
| DeepSeek V3.2 Thinking New deepseek/deepseek-v3.2-thinking | 128K | text | 0.62 | 1.85 | — | |
| DeepSeek V4 Flash deepseek/deepseek-v4-flash | 1M | text | 0.13 | 0.26 | 0.028 / — | |
| Gemini 2.5 Flash Lite google/gemini-2.5-flash-lite | 1M | 0.1 | 0.4 | 0.01 / — | ||
| Gemma 4 26B A4B IT New google/gemma-4-26b-a4b-it | 262.1K | 0.15 | 0.6 | 0.015 / — | ||
| Gemma 4 31B IT New google/gemma-4-31b-it | 262.1K | 0.14 | 0.4 | — | ||
| Mercury 2 inception/mercury-2 | 128K | text | 0.25 | 0.75 | 0.025 / — | |
| Mercury 2.5 inception/mercury-2.5 | 260K | text | 0.04 | 0.15 | 0.004 / — | |
| Mercury 3 inception/mercury-3 | 1M | text | 0.1 | 0.35 | 0.01 / — | |
| Interfaze Beta New interfaze/interfaze-beta | 1M | 1.50 | 3.50 | — | ||
| Llama 3.1 70B Instruct New meta/llama-3.1-70b | 128K | text | 0.72 | 0.72 | — | |
| Llama 3.1 8B Instruct meta/llama-3.1-8b | 128K | text | 0.22 | 0.22 | — | |
| Llama-3.3-70B-Instruct meta/llama-3.3-70b | 128K | text | 0.72 | 0.72 | — | |
| Llama-4-Maverick-17B-128E-Instruct-FP8 meta/llama-4-maverick | 128K | 0.24 | 0.97 | — | ||
| Llama-4-Scout-17B-16E-Instruct-FP8 meta/llama-4-scout | 128K | 0.17 | 0.66 | — | ||
| Ministral 14B mistral/ministral-14b | 262.1K | 0.2 | 0.2 | 0.02 / — | ||
| Ministral 3B (latest) mistral/ministral-3b | 131.1K | 0.1 | 0.1 | 0.01 / — | ||
| Ministral 8B (latest) mistral/ministral-8b | 262.1K | 0.15 | 0.15 | 0.015 / — | ||
| Mistral Nemo mistral/mistral-nemo | 131.1K | text | 0.029 | 0.03 | — | |
| Mistral Small (latest) New mistral/mistral-small | 262.1K | 0.15 | 0.6 | 0.015 / — | ||
| Kimi K2 Instruct New moonshotai/kimi-k2 | 131.1K | text | 0.57 | 2.30 | — | |
| Kimi K2.5 New moonshotai/kimi-k2.5 | 256K | 0.6 | 3.00 | — | ||
| Kimi K2.6 New moonshotai/kimi-k2.6 | 262K | 0.95 | 4.00 | 0.16 / — | ||
| Kimi K2.7 Code New moonshotai/kimi-k2.7-code | 256K | 0.95 | 4.00 | 0.19 / — | ||
| Morph v3 Fast New morph/morph-v3-fast | 16K | text | 0.8 | 1.20 | — | |
| Morph v3 Large New morph/morph-v3-large | 32K | text | 0.9 | 1.90 | — | |
| Nemotron 3 Nano 30B A3B nvidia/nemotron-3-nano-30b-a3b | 262.1K | text | 0.05 | 0.2 | 0.025 / — | |
| Nemotron 3 Ultra nvidia/nemotron-3-ultra-550b-a55b | 1M | text | 0.6 | 2.40 | 0.12 / — | |
| Nemotron 3.5 Lightning 30B nvidia/nemotron-3.5-lightning | 262.1K | text | 0.05 | 0.2 | 0.01 / — | |
| Nemotron 3.5 Lightning Free nvidia/nemotron-3.5-lightning-free | 1M | text | 0 | 0 | — | |
| NVIDIA Nemotron 3 Super 120B A12B nvidia/nemotron-3-super-120b-a12b | 256K | text | 0.15 | 0.65 | — | |
| NVIDIA Nemotron 3.5 Super VL nvidia/nemotron-3.5-super-vl | 1M | 0.2 | 0.5 | 0.04 / — | ||
| Nvidia Nemotron Nano 12B V2 VL nvidia/nemotron-nano-12b-v2-vl | 131.1K | 0.2 | 0.6 | — | ||
| Nvidia Nemotron Nano 9B V2 nvidia/nemotron-nano-9b-v2 | 131.1K | text | 0.06 | 0.23 | — | |
| GPT OSS 120B New openai/gpt-oss-120b | 131.1K | text | 0.1 | 0.5 | 0.1 / — | |
| GPT OSS 20B openai/gpt-oss-20b | 131.1K | text | 0.03 | 0.14 | — | |
| GPT-4.1 nano openai/gpt-4.1-nano | 1M | 0.1 | 0.4 | 0.025 / — | ||
| GPT-4o mini openai/gpt-4o-mini | 128K | 0.15 | 0.6 | 0.075 / — | ||
| GPT-5 Nano openai/gpt-5-nano | 400K | 0.05 | 0.4 | 0.005 / — | ||
| gpt-oss-safeguard-20b openai/gpt-oss-safeguard-20b | 128K | text | 0.07 | 0.2 | — | |
| Sonar New perplexity/sonar | 127K | 0.25 | 2.50 | — / 0.063 | ||
| GLM 4.7 Flash zai/glm-4.7-flash | 200K | text | 0.07 | 0.4 | — | |
| GLM 4.7 FlashX zai/glm-4.7-flashx | 200K | text | 0.06 | 0.4 | 0.01 / — |
Pro
The whole shelf. Every model on this page, including the frontier ones.
259 models
| Full details | ||||||
|---|---|---|---|---|---|---|
| Qwen 3 Max Thinking New alibaba/qwen3-max-thinking | 256K | text | 1.20 | 6.00 | 0.24 / — | |
| Qwen 3.32B alibaba/qwen-3-32b | 128K | text | 0.15 | 0.6 | — | |
| Qwen 3.5 Flash alibaba/qwen3.5-flash | 1M | 0.1 | 0.4 | 0.01 / 0.125 | ||
| Qwen 3.5 Plus New alibaba/qwen3.5-plus | 1M | 0.4 | 2.40 | 0.04 / 0.5 | ||
| Qwen 3.6 27B New alibaba/qwen3.6-27b | 256K | 0.6 | 3.60 | — | ||
| Qwen 3.6 Plus New alibaba/qwen3.6-plus | 1M | 0.5 | 3.00 | 0.05 / 0.625 | ||
| Qwen 3.7 Flash New alibaba/qwen3.7-flash | 991K | 0.03 | 0.13 | 0.006 / 0.038 | ||
| Qwen 3.7 Max New alibaba/qwen3.7-max | 991K | text | 2.50 | 7.50 | 0.5 / 3.13 | |
| Qwen 3.7 Plus New alibaba/qwen3.7-plus | 1M | 0.4 | 1.60 | 0.08 / 0.5 | ||
| Qwen 3.8 Flash New alibaba/qwen3.8-flash | 991K | 0.15 | 0.47 | 0.016 / 0.2 | ||
| Qwen 3.8 Max New alibaba/qwen3.8-max | 262.1K | 2.00 | 6.00 | 0.25 / — | ||
| Qwen 3.8 Max Prime New alibaba/qwen3.8-max-prime | 1M | 4.00 | 12.00 | 0.5 / 5.00 | ||
| Qwen 3.8 Omni Flash New alibaba/qwen3.8-omni-flash | 1M | 0.15 | 0.47 | 0.016 / — | ||
| Qwen3 235B A22B Instruct 2507 alibaba/qwen-3-235b | 262.1K | text | 0.22 | 0.88 | — | |
| Qwen3 Next 80B A3B Thinking New alibaba/qwen3-next-80b-a3b-thinking | 262.1K | text | 0.15 | 1.20 | — | |
| Qwen3-14B alibaba/qwen-3-14b | 41K | text | 0.12 | 0.24 | — | |
| Qwen3-30B-A3B alibaba/qwen-3-30b | 41K | text | 0.12 | 0.5 | — | |
| Qwen3.8 2.4T A95B New alibaba/qwen3.8-2.4t-a95b | 262.1K | 2.00 | 6.00 | 0.25 / — | ||
| Qwen3.8 27B New alibaba/qwen3.8-27b | 1M | 0.5 | 3.00 | 0.1 / 0.625 | ||
| Qwen3.8 Max 0902 New alibaba/qwen3.8-max-0902 | 991K | 2.00 | 6.00 | 0.25 / 2.50 | ||
| Nova 2 Lite New amazon/nova-2-lite | 1M | 0.3 | 2.50 | 0.075 / — | ||
| Nova Lite amazon/nova-lite | 300K | 0.06 | 0.24 | 0.015 / 0.06 | ||
| Nova Micro amazon/nova-micro | 128K | text | 0.035 | 0.14 | 0.0088 / 0.035 | |
| Nova Pro New amazon/nova-pro | 300K | 0.8 | 3.20 | 0.2 / 0.8 | ||
| Claude Fable 5 New anthropic/claude-fable-5 | 1M | 10.00 | 50.00 | 1.00 / 12.50 | ||
| Claude Fable 5 (Batch) New anthropic/claude-fable-5-batch | 1M | 5.00 | 25.00 | 0.5 / 6.25 | ||
| Claude Fable 5.1 New anthropic/claude-fable-5.1 | 1M | 10.00 | 50.00 | 0.25 / 12.50 | ||
| Claude Fable 5.1 (Batch) New anthropic/claude-fable-5.1-batch | 1M | 5.00 | 25.00 | 0.125 / 6.25 | ||
| Claude Haiku 4.5 New anthropic/claude-haiku-4.5 | 200K | 1.00 | 5.00 | 0.1 / 1.25 | ||
| Claude Haiku 4.5 (Batch) New anthropic/claude-haiku-4.5-batch | 200K | 0.5 | 2.50 | 0.05 / 0.625 | ||
| Claude Haiku 5.5 New anthropic/claude-haiku-5.5 | 1M | 0.1 | 0.5 | 0.01 / 0.125 | ||
| Claude Haiku 5.5 (Batch) New anthropic/claude-haiku-5.5-batch | 1M | 0.05 | 0.25 | 0.005 / 0.063 | ||
| Claude Opus 4.5 New anthropic/claude-opus-4.5 | 200K | 5.00 | 25.00 | 0.5 / 6.25 | ||
| Claude Opus 4.5 (Batch) New anthropic/claude-opus-4.5-batch | 200K | 2.50 | 12.50 | 0.25 / 3.13 | ||
| Claude Opus 4.6 New anthropic/claude-opus-4.6 | 1M | 5.00 | 25.00 | 0.5 / 6.25 | ||
| Claude Opus 4.6 (Batch) New anthropic/claude-opus-4.6-batch | 1M | 2.50 | 12.50 | 0.25 / 3.13 | ||
| Claude Opus 4.7 New anthropic/claude-opus-4.7 | 1M | 5.00 | 25.00 | 0.5 / 6.25 | ||
| Claude Opus 4.7 (Batch) New anthropic/claude-opus-4.7-batch | 1M | 2.50 | 12.50 | 0.25 / 3.13 | ||
| Claude Opus 4.8 New anthropic/claude-opus-4.8 | 1M | 5.00 | 25.00 | 0.5 / 6.25 | ||
| Claude Opus 4.8 (Batch) New anthropic/claude-opus-4.8-batch | 1M | 2.50 | 12.50 | 0.25 / 3.13 | ||
| Claude Opus 4.8 (Fast) New anthropic/claude-opus-4.8-fast | 1M | 10.00 | 50.00 | 1.00 / 12.50 | ||
| Claude Opus 5 New anthropic/claude-opus-5 | 1M | 5.00 | 25.00 | 0.5 / 6.25 | ||
| Claude Opus 5 (Batch) New anthropic/claude-opus-5-batch | 1M | 2.50 | 12.50 | 0.25 / 3.13 | ||
| Claude Opus 5 (Fast) New anthropic/claude-opus-5-fast | 1M | 10.00 | 50.00 | 1.00 / 12.50 | ||
| Claude Opus 5.5 New anthropic/claude-opus-5.5 | 1M | 4.00 | 20.00 | 0.2 / 5.00 | ||
| Claude Opus 5.5 (Batch) New anthropic/claude-opus-5.5-batch | 1M | 2.00 | 10.00 | 0.1 / 2.50 | ||
| Claude Opus 5.5 (Fast) New anthropic/claude-opus-5.5-fast | 1M | 8.00 | 40.00 | 0.4 / 10.00 | ||
| Claude Sonnet 4.5 New anthropic/claude-sonnet-4.5 | 200K | 3.00 | 15.00 | 0.3 / 3.75 | ||
| Claude Sonnet 4.5 (Batch) New anthropic/claude-sonnet-4.5-batch | 1M | 1.50 | 7.50 | 0.15 / 1.88 | ||
| Claude Sonnet 4.6 New anthropic/claude-sonnet-4.6 | 1M | 3.00 | 15.00 | 0.3 / 3.75 | ||
| Claude Sonnet 4.6 (Batch) New anthropic/claude-sonnet-4.6-batch | 1M | 1.50 | 7.50 | 0.15 / 1.88 | ||
| Claude Sonnet 5 New anthropic/claude-sonnet-5 | 1M | 2.00 | 10.00 | 0.2 / 2.50 | ||
| Claude Sonnet 5 (Batch) New anthropic/claude-sonnet-5-batch | 1M | 1.00 | 5.00 | 0.1 / 1.25 | ||
| Claude Sonnet 5.5 New anthropic/claude-sonnet-5.5 | 1M | 2.00 | 10.00 | 0.1 / 2.50 | ||
| Claude Sonnet 5.5 (Batch) New anthropic/claude-sonnet-5.5-batch | 1M | 1.00 | 5.00 | 0.05 / 1.25 | ||
| Trinity Large Thinking arcee-ai/trinity-large-thinking | 262.1K | text | 0.25 | 0.8 | 0.06 / — | |
| Seed 1.6 New bytedance/seed-1.6 | 256K | 0.25 | 2.00 | 0.05 / — | ||
| Seed 1.8 New bytedance/seed-1.8 | 256K | 0.25 | 2.00 | 0.05 / — | ||
| Seed 2.1 Turbo New bytedance/seed-2.1-turbo | 262.1K | 0.5 | 2.50 | 0.1 / — | ||
| Command A New cohere/command-a | 256K | text | 2.50 | 10.00 | — | |
| DeepSeek V3.2 deepseek/deepseek-v3.2 | 128K | text | 0.62 | 1.85 | — | |
| DeepSeek V3.2 Thinking deepseek/deepseek-v3.2-thinking | 128K | text | 0.62 | 1.85 | — | |
| DeepSeek V4 Flash deepseek/deepseek-v4-flash | 1M | text | 0.13 | 0.26 | 0.028 / — | |
| DeepSeek V4 Flash 0731 New deepseek/deepseek-v4-flash-0731 | 1M | text | 0.076 | 0.153 | 0.014 / — | |
| DeepSeek V4 Flash Vision Exp New deepseek/deepseek-v4-flash-vision-exp | 1M | 0.216 | 0.647 | 0.0068 / — | ||
| DeepSeek V4 Pro New deepseek/deepseek-v4-pro | 1M | text | 0.66 | 1.98 | 0.022 / — | |
| DeepSeek V4 Pro 0813 New deepseek/deepseek-v4-pro-0813 | 1M | text | 0.66 | 1.98 | 0.066 / — | |
| DeepSeek V4.1 Flash New deepseek/deepseek-v4.1-flash | 1M | 0.075 | 0.3 | 0.0015 / — | ||
| DeepSeek V4.1 Flash 1017 New deepseek/deepseek-v4.1-flash-1017 | 1M | 0.075 | 0.3 | 0.0015 / — | ||
| DeepSeek V4.1 Flash 1017 Fast New deepseek/deepseek-v4.1-flash-1017-fast | 1M | 0.6 | 2.40 | 0.014 / — | ||
| DeepSeek V4.1 Flash Fast New deepseek/deepseek-v4.1-flash-fast | 1M | 0.6 | 2.40 | 0.014 / — | ||
| DeepSeek-V3.1 New deepseek/deepseek-v3.1 | 163.8K | text | 0.25 | 0.95 | 0.13 / — | |
| Gemini 2.5 Flash New google/gemini-2.5-flash | 1M | 0.3 | 2.50 | 0.03 / — | ||
| Gemini 2.5 Flash (Batch) New google/gemini-2.5-flash-batch | 1M | 0.15 | 1.25 | 0.03 / — | ||
| Gemini 2.5 Flash Lite google/gemini-2.5-flash-lite | 1M | 0.1 | 0.4 | 0.01 / — | ||
| Gemini 2.5 Flash Lite (Batch) New google/gemini-2.5-flash-lite-batch | 1M | 0.05 | 0.2 | 0.01 / — | ||
| Gemini 2.5 Pro New google/gemini-2.5-pro | 1M | 1.25 | 10.00 | 0.125 / — | ||
| Gemini 2.5 Pro (Batch) New google/gemini-2.5-pro-batch | 1M | 0.625 | 5.00 | 0.125 / — | ||
| Gemini 3 Flash New google/gemini-3-flash | 1M | 0.5 | 3.00 | 0.05 / — | ||
| Gemini 3 Flash (Batch) New google/gemini-3-flash-batch | 1M | 0.25 | 1.50 | 0.05 / — | ||
| Gemini 3.1 Flash Lite New google/gemini-3.1-flash-lite | 1M | 0.25 | 1.50 | 0.03 / — | ||
| Gemini 3.1 Flash Lite (Batch) New google/gemini-3.1-flash-lite-batch | 1M | 0.125 | 0.75 | 0.015 / — | ||
| Gemini 3.1 Pro Preview New google/gemini-3.1-pro-preview | 1M | 2.00 | 12.00 | 0.2 / — | ||
| Gemini 3.1 Pro Preview (Batch) New google/gemini-3.1-pro-preview-batch | 1M | 1.00 | 6.00 | 0.2 / — | ||
| Gemini 3.5 Flash New google/gemini-3.5-flash | 1M | 1.50 | 9.00 | 0.15 / — | ||
| Gemini 3.5 Flash (Batch) New google/gemini-3.5-flash-batch | 1M | 0.75 | 4.50 | 0.075 / — | ||
| Gemini 3.5 Flash Lite New google/gemini-3.5-flash-lite | 1M | 0.3 | 2.50 | 0.03 / — | ||
| Gemini 3.5 Flash Lite (Batch) New google/gemini-3.5-flash-lite-batch | 1M | 0.15 | 1.25 | 0.015 / — | ||
| Gemini 3.6 Flash New google/gemini-3.6-flash | 1M | 0.75 | 3.75 | 0.075 / — | ||
| Gemini 3.6 Flash (Batch) New google/gemini-3.6-flash-batch | 1M | 0.375 | 1.88 | 0.037 / — | ||
| Gemini 3.7 Flash New google/gemini-3.7-flash | 1M | 0.75 | 3.75 | 0.075 / — | ||
| Gemini 3.7 Flash (Batch) New google/gemini-3.7-flash-batch | 1M | 0.375 | 1.88 | 0.037 / — | ||
| Gemini 3.8 Flash New google/gemini-3.8-flash | 1M | 0.75 | 3.75 | 0.075 / — | ||
| Gemini 4 Argon New google/gemini-4-argon | 1M | 2.00 | 10.00 | 0.1 / — | ||
| Gemini Nano Banana 2.1 New google/gemini-nano-banana-2.1 | 131.1K | 1.50 | 7.50 | 0.15 / — | ||
| Gemini Omni Flash Preview New google/gemini-omni-flash-preview | 1M | 1.50 | 9.00 | — | ||
| Gemma 4 26B A4B IT google/gemma-4-26b-a4b-it | 262.1K | 0.15 | 0.6 | 0.015 / — | ||
| Gemma 4 31B IT google/gemma-4-31b-it | 262.1K | 0.14 | 0.4 | — | ||
| Mercury 2 inception/mercury-2 | 128K | text | 0.25 | 0.75 | 0.025 / — | |
| Mercury 2.5 inception/mercury-2.5 | 260K | text | 0.04 | 0.15 | 0.004 / — | |
| Mercury 3 inception/mercury-3 | 1M | text | 0.1 | 0.35 | 0.01 / — | |
| Interfaze Beta interfaze/interfaze-beta | 1M | 1.50 | 3.50 | — | ||
| LongCat 2.5 Preview New meituan/longcat-2.5-preview | 1M | 0.3 | 1.20 | 0.006 / — | ||
| Llama 3.1 70B Instruct meta/llama-3.1-70b | 128K | text | 0.72 | 0.72 | — | |
| Llama 3.1 8B Instruct meta/llama-3.1-8b | 128K | text | 0.22 | 0.22 | — | |
| Llama-3.3-70B-Instruct meta/llama-3.3-70b | 128K | text | 0.72 | 0.72 | — | |
| Llama-4-Maverick-17B-128E-Instruct-FP8 meta/llama-4-maverick | 128K | 0.24 | 0.97 | — | ||
| Llama-4-Scout-17B-16E-Instruct-FP8 meta/llama-4-scout | 128K | 0.17 | 0.66 | — | ||
| Muse Glimmer 30B New meta/muse-glimmer-30b | 131.1K | 0.35 | 1.50 | 0.04 / — | ||
| Muse Spark 1.1 New meta/muse-spark-1.1 | 1M | 1.25 | 4.25 | 0.15 / — | ||
| Muse Spark 1.2 New meta/muse-spark-1.2 | 1M | 1.25 | 4.25 | 0.15 / — | ||
| Muse Spark 1.2 Contributor New meta/muse-spark-1.2-contributor | 1M | 0.1 | 0.2 | 0.002 / — | ||
| Muse Spark 1.3 New meta/muse-spark-1.3 | 1M | 1.25 | 4.25 | 0.15 / — | ||
| Muse Spark 1.3 Contributor New meta/muse-spark-1.3-contributor | 1M | 0.1 | 0.2 | 0.002 / — | ||
| Muse Spark Open New meta/muse-spark-open | 1M | 1.25 | 4.25 | 0.15 / — | ||
| Muse Wonder New meta/muse-wonder-1.0 | 1M | 4.00 | 20.00 | 0.2 / — | ||
| MiniMax M2 New minimax/minimax-m2 | 205K | text | 0.3 | 1.20 | 0.03 / 0.375 | |
| MiniMax M2.1 New minimax/minimax-m2.1 | 204.8K | text | 0.3 | 1.20 | 0.03 / 0.375 | |
| MiniMax M2.1 Lightning New minimax/minimax-m2.1-lightning | 204.8K | text | 0.3 | 2.40 | 0.03 / 0.375 | |
| MiniMax M2.5 New minimax/minimax-m2.5 | 204.8K | text | 0.3 | 1.20 | 0.03 / 0.375 | |
| MiniMax M2.5 High Speed New minimax/minimax-m2.5-highspeed | 204.8K | text | 0.6 | 2.40 | 0.03 / 0.375 | |
| Minimax M2.7 New minimax/minimax-m2.7 | 204.8K | text | 0.3 | 1.20 | 0.06 / 0.375 | |
| MiniMax M2.7 High Speed New minimax/minimax-m2.7-highspeed | 204.8K | text | 0.6 | 2.40 | 0.06 / 0.375 | |
| MiniMax M3 New minimax/minimax-m3 | 512K | 0.3 | 1.20 | 0.06 / — | ||
| MiniMax-M3.1-Flash New minimax/minimax-m3.1-flash | 1M | 0 | 0 | — | ||
| Ministral 14B mistral/ministral-14b | 262.1K | 0.2 | 0.2 | 0.02 / — | ||
| Ministral 3B (latest) mistral/ministral-3b | 131.1K | 0.1 | 0.1 | 0.01 / — | ||
| Ministral 8B (latest) mistral/ministral-8b | 262.1K | 0.15 | 0.15 | 0.015 / — | ||
| Mistral Large 3 New mistral/mistral-large-3 | 262.1K | 0.5 | 1.50 | 0.05 / — | ||
| Mistral Large 4 New mistral/mistral-large-4 | 524.3K | 1.36 | 4.18 | 0.14 / — | ||
| Mistral Medium Latest New mistral/mistral-medium-3.5 | 262.1K | 1.50 | 7.50 | 0.15 / — | ||
| Mistral Nemo mistral/mistral-nemo | 131.1K | text | 0.029 | 0.03 | — | |
| Mistral Small (latest) mistral/mistral-small | 262.1K | 0.15 | 0.6 | 0.015 / — | ||
| Kimi K2 Instruct moonshotai/kimi-k2 | 131.1K | text | 0.57 | 2.30 | — | |
| Kimi K2.5 moonshotai/kimi-k2.5 | 256K | 0.6 | 3.00 | — | ||
| Kimi K2.6 moonshotai/kimi-k2.6 | 262K | 0.95 | 4.00 | 0.16 / — | ||
| Kimi K2.7 Code moonshotai/kimi-k2.7-code | 256K | 0.95 | 4.00 | 0.19 / — | ||
| Kimi K2.7 Code High Speed New moonshotai/kimi-k2.7-code-highspeed | 262.1K | 1.90 | 8.00 | 0.38 / — | ||
| Kimi K3 New moonshotai/kimi-k3 | 1M | 3.00 | 15.00 | 0.3 / — | ||
| Kimi K3 Fast New moonshotai/kimi-k3-fast | 1M | 4.50 | 22.50 | 0.45 / — | ||
| Morph v3 Fast morph/morph-v3-fast | 16K | text | 0.8 | 1.20 | — | |
| Morph v3 Large morph/morph-v3-large | 32K | text | 0.9 | 1.90 | — | |
| Nemotron 3 Nano 30B A3B nvidia/nemotron-3-nano-30b-a3b | 262.1K | text | 0.05 | 0.2 | 0.025 / — | |
| Nemotron 3 Ultra nvidia/nemotron-3-ultra-550b-a55b | 1M | text | 0.6 | 2.40 | 0.12 / — | |
| Nemotron 3.5 Lightning 30B nvidia/nemotron-3.5-lightning | 262.1K | text | 0.05 | 0.2 | 0.01 / — | |
| Nemotron 3.5 Lightning Free nvidia/nemotron-3.5-lightning-free | 1M | text | 0 | 0 | — | |
| NVIDIA Nemotron 3 Super 120B A12B nvidia/nemotron-3-super-120b-a12b | 256K | text | 0.15 | 0.65 | — | |
| NVIDIA Nemotron 3.5 Super VL nvidia/nemotron-3.5-super-vl | 1M | 0.2 | 0.5 | 0.04 / — | ||
| Nvidia Nemotron Nano 12B V2 VL nvidia/nemotron-nano-12b-v2-vl | 131.1K | 0.2 | 0.6 | — | ||
| Nvidia Nemotron Nano 9B V2 nvidia/nemotron-nano-9b-v2 | 131.1K | text | 0.06 | 0.23 | — | |
| GPT 5.1 Codex Max New openai/gpt-5.1-codex-max | 400K | 1.25 | 10.00 | 0.125 / — | ||
| GPT 5.1 Thinking New openai/gpt-5.1-thinking | 400K | 1.25 | 10.00 | 0.125 / — | ||
| GPT 5.1 Thinking (Fast) New openai/gpt-5.1-thinking-fast | 400K | 2.50 | 20.00 | 0.25 / — | ||
| GPT 5.2 New openai/gpt-5.2-pro | 400K | 21.00 | 168.00 | — | ||
| GPT 5.2 (Batch) New openai/gpt-5.2-batch | 400K | 0.875 | 7.00 | 0.087 / — | ||
| GPT 5.2 (Fast) New openai/gpt-5.2-fast | 400K | 3.50 | 28.00 | 0.35 / — | ||
| GPT 5.3 Codex New openai/gpt-5.3-codex | 400K | 1.75 | 14.00 | 0.175 / — | ||
| GPT 5.3 Codex (Fast) New openai/gpt-5.3-codex-fast | 400K | 3.50 | 28.00 | 0.35 / — | ||
| GPT 5.4 New openai/gpt-5.4 | 1.1M | 2.50 | 15.00 | 0.25 / — | ||
| GPT 5.4 (Batch) New openai/gpt-5.4-batch | 1.1M | 1.25 | 7.50 | 0.125 / — | ||
| GPT 5.4 (Fast) New openai/gpt-5.4-fast | 1.1M | 5.00 | 30.00 | 0.5 / — | ||
| GPT 5.4 Mini New openai/gpt-5.4-mini | 400K | 0.75 | 4.50 | 0.075 / — | ||
| GPT 5.4 Mini (Batch) New openai/gpt-5.4-mini-batch | 400K | 0.375 | 2.25 | 0.037 / — | ||
| GPT 5.4 Mini (Fast) New openai/gpt-5.4-mini-fast | 400K | 1.50 | 9.00 | 0.15 / — | ||
| GPT 5.4 Nano New openai/gpt-5.4-nano | 400K | 0.2 | 1.25 | 0.02 / — | ||
| GPT 5.4 Nano (Batch) New openai/gpt-5.4-nano-batch | 400K | 0.1 | 0.625 | 0.01 / — | ||
| GPT 5.4 Pro New openai/gpt-5.4-pro | 1.1M | 30.00 | 180.00 | — | ||
| GPT 5.5 New openai/gpt-5.5 | 1M | 5.00 | 30.00 | 0.5 / — | ||
| GPT 5.5 (Batch) New openai/gpt-5.5-batch | 1M | 2.50 | 15.00 | 0.25 / — | ||
| GPT 5.5 (Fast) New openai/gpt-5.5-fast | 1M | 12.50 | 75.00 | 1.25 / — | ||
| GPT 5.5 Pro New openai/gpt-5.5-pro | 1M | 30.00 | 180.00 | — | ||
| GPT 5.5 Pro (Batch) New openai/gpt-5.5-pro-batch | 1M | 15.00 | 90.00 | — | ||
| GPT 5.6 Luna New openai/gpt-5.6-luna | 1.1M | 0.2 | 1.20 | 0.02 / 0.25 | ||
| GPT 5.6 Luna (Batch) New openai/gpt-5.6-luna-batch | 1.1M | 0.1 | 0.6 | 0.01 / 0.125 | ||
| GPT 5.6 Luna (Fast) New openai/gpt-5.6-luna-fast | 1.1M | 0.4 | 2.40 | 0.04 / 0.5 | ||
| GPT 5.6 Sol New openai/gpt-5.6-sol | 1.1M | 4.00 | 20.00 | 0.4 / 5.00 | ||
| GPT 5.6 Sol (Batch) New openai/gpt-5.6-sol-batch | 1.1M | 2.00 | 10.00 | 0.2 / 2.50 | ||
| GPT 5.6 Sol (Fast) New openai/gpt-5.6-sol-fast | 1.1M | 8.00 | 40.00 | 0.8 / 10.00 | ||
| GPT 5.6 Terra New openai/gpt-5.6-terra | 1.1M | 2.00 | 12.00 | 0.2 / 2.50 | ||
| GPT 5.6 Terra (Batch) New openai/gpt-5.6-terra-batch | 1.1M | 1.00 | 6.00 | 0.1 / 1.25 | ||
| GPT 5.6 Terra (Fast) New openai/gpt-5.6-terra-fast | 1.1M | 4.00 | 24.00 | 0.4 / 5.00 | ||
| GPT OSS 120B openai/gpt-oss-120b | 131.1K | text | 0.1 | 0.5 | 0.1 / — | |
| GPT OSS 20B openai/gpt-oss-20b | 131.1K | text | 0.03 | 0.14 | — | |
| GPT OSS Safeguard 120B New openai/gpt-oss-safeguard-120b | 128K | text | 0.15 | 0.6 | — | |
| GPT-3.5 Turbo New openai/gpt-3.5-turbo | 16.4K | text | 0.5 | 1.50 | — | |
| GPT-4 Turbo New openai/gpt-4-turbo | 128K | 10.00 | 30.00 | — | ||
| GPT-4.1 New openai/gpt-4.1 | 1M | 2.00 | 8.00 | 0.5 / — | ||
| GPT-4.1 (Batch) New openai/gpt-4.1-batch | 1M | 1.00 | 4.00 | 0.25 / — | ||
| GPT-4.1 (Fast) New openai/gpt-4.1-fast | 1M | 3.50 | 14.00 | 0.875 / — | ||
| GPT-4.1 mini New openai/gpt-4.1-mini | 1M | 0.4 | 1.60 | 0.1 / — | ||
| GPT-4.1 mini (Batch) New openai/gpt-4.1-mini-batch | 1M | 0.2 | 0.8 | 0.05 / — | ||
| GPT-4.1 mini (Fast) New openai/gpt-4.1-mini-fast | 1M | 0.7 | 2.80 | 0.175 / — | ||
| GPT-4.1 nano openai/gpt-4.1-nano | 1M | 0.1 | 0.4 | 0.025 / — | ||
| GPT-4.1 nano (Batch) New openai/gpt-4.1-nano-batch | 1M | 0.05 | 0.2 | 0.012 / — | ||
| GPT-4.1 nano (Fast) New openai/gpt-4.1-nano-fast | 1M | 0.2 | 0.8 | 0.05 / — | ||
| GPT-4o New openai/gpt-4o | 128K | 2.50 | 10.00 | 1.25 / — | ||
| GPT-4o (Batch) New openai/gpt-4o-batch | 128K | 1.25 | 5.00 | 0.625 / — | ||
| GPT-4o (Fast) New openai/gpt-4o-fast | 128K | 4.25 | 17.00 | 2.13 / — | ||
| GPT-4o mini openai/gpt-4o-mini | 128K | 0.15 | 0.6 | 0.075 / — | ||
| GPT-4o mini (Batch) New openai/gpt-4o-mini-batch | 128K | 0.075 | 0.3 | 0.037 / — | ||
| GPT-4o mini (Fast) New openai/gpt-4o-mini-fast | 128K | 0.25 | 1.00 | 0.125 / — | ||
| GPT-5 New openai/gpt-5 | 400K | 1.25 | 10.00 | 0.125 / — | ||
| GPT-5 (Batch) New openai/gpt-5-batch | 400K | 0.625 | 5.00 | 0.063 / — | ||
| GPT-5 (Fast) New openai/gpt-5-fast | 400K | 2.50 | 20.00 | 0.25 / — | ||
| GPT-5 Mini New openai/gpt-5-mini | 400K | 0.25 | 2.00 | 0.025 / — | ||
| GPT-5 mini (Batch) New openai/gpt-5-mini-batch | 400K | 0.125 | 1.00 | 0.012 / — | ||
| GPT-5 mini (Fast) New openai/gpt-5-mini-fast | 400K | 0.45 | 3.60 | 0.045 / — | ||
| GPT-5 Nano openai/gpt-5-nano | 400K | 0.05 | 0.4 | 0.005 / — | ||
| GPT-5 nano (Batch) New openai/gpt-5-nano-batch | 400K | 0.025 | 0.2 | 0.0025 / — | ||
| GPT-5 pro New openai/gpt-5-pro | 400K | 15.00 | 120.00 | — | ||
| GPT-5 pro (Batch) New openai/gpt-5-pro-batch | 400K | 7.50 | 60.00 | — | ||
| GPT-5-Codex New openai/gpt-5-codex | 400K | 1.25 | 10.00 | 0.13 / — | ||
| GPT-5.1 Codex mini New openai/gpt-5.1-codex-mini | 400K | 0.25 | 2.00 | 0.03 / — | ||
| GPT-5.1-Codex New openai/gpt-5.1-codex | 400K | 1.25 | 10.00 | 0.13 / — | ||
| GPT-5.2 New openai/gpt-5.2 | 400K | 1.75 | 14.00 | 0.175 / — | ||
| GPT-5.2-Codex New openai/gpt-5.2-codex | 400K | 1.75 | 14.00 | 0.175 / — | ||
| GPT-6 Astra New openai/gpt-6-astra | 1.1M | 10.00 | 50.00 | 1.00 / 12.50 | ||
| GPT-6 Astra (Batch) New openai/gpt-6-astra-batch | 1.1M | 5.00 | 25.00 | 0.5 / 6.25 | ||
| GPT-6 Astra (Fast) New openai/gpt-6-astra-fast | 1.1M | 20.00 | 100.00 | 2.00 / 25.00 | ||
| GPT-6 Luna New openai/gpt-6-luna | 1.1M | 0.1 | 0.5 | 0.01 / 0.125 | ||
| GPT-6 Luna (Batch) New openai/gpt-6-luna-batch | 1.1M | 0.05 | 0.25 | 0.005 / 0.063 | ||
| GPT-6 Luna (Fast) New openai/gpt-6-luna-fast | 1.1M | 0.2 | 1.00 | 0.02 / 0.25 | ||
| GPT-6 Sol New openai/gpt-6-sol | 1.1M | 2.00 | 10.00 | 0.2 / 2.50 | ||
| GPT-6 Sol (Batch) New openai/gpt-6-sol-batch | 1.1M | 1.00 | 5.00 | 0.1 / 1.25 | ||
| GPT-6 Sol (Fast) New openai/gpt-6-sol-fast | 1.1M | 4.00 | 20.00 | 0.4 / 5.00 | ||
| GPT-6.1 Sol New openai/gpt-6.1-sol | 1.1M | 2.00 | 10.00 | 0.1 / 2.50 | ||
| GPT-6.1 Sol (Batch) New openai/gpt-6.1-sol-batch | 1.1M | 1.00 | 5.00 | 0.05 / 1.25 | ||
| GPT-6.1 Sol (Fast) New openai/gpt-6.1-sol-fast | 1.1M | 4.00 | 20.00 | 0.2 / 5.00 | ||
| gpt-oss-safeguard-20b openai/gpt-oss-safeguard-20b | 128K | text | 0.07 | 0.2 | — | |
| o1 New openai/o1 | 200K | 15.00 | 60.00 | 7.50 / — | ||
| o3 New openai/o3 | 200K | 2.00 | 8.00 | 0.5 / — | ||
| o3 (Fast) New openai/o3-fast | 200K | 3.50 | 14.00 | 0.875 / — | ||
| o3 Pro New openai/o3-pro | 200K | 20.00 | 80.00 | — | ||
| o3-mini New openai/o3-mini | 200K | text | 1.10 | 4.40 | 0.55 / — | |
| o4-mini New openai/o4-mini | 200K | 1.10 | 4.40 | 0.275 / — | ||
| o4-mini (Fast) New openai/o4-mini-fast | 200K | 2.00 | 8.00 | 0.5 / — | ||
| Sonar perplexity/sonar | 127K | 0.25 | 2.50 | — / 0.063 | ||
| MiMo M2.5 New xiaomi/mimo-v2.5 | 1.1M | 0.119 | 0.238 | 0.0025 / — | ||
| MiMo V2.5 Pro New xiaomi/mimo-v2.5-pro | 1.1M | text | 0.304 | 0.609 | 0.0028 / — | |
| MiMo V2.6 Flash New xiaomi/mimo-v2.6-flash | 1M | 0.14 | 0.28 | 0.0028 / — | ||
| MiMo V2.6 Pro New xiaomi/mimo-v2.6-pro | 1M | 0.435 | 0.87 | 0.0036 / — | ||
| MiMo V2.6 Pro UltraSpeed New xiaomi/mimo-v2.6-pro-ultraspeed | 1M | 4.35 | 8.70 | 0.036 / — | ||
| GLM 4.5 New zai/glm-4.5 | 128K | text | 0.6 | 2.20 | 0.11 / — | |
| GLM 4.5 Air New zai/glm-4.5-air | 128K | text | 0.2 | 1.10 | 0.03 / — | |
| GLM 4.5V New zai/glm-4.5v | 66K | 0.6 | 1.80 | 0.11 / — | ||
| GLM 4.6 New zai/glm-4.6 | 200K | text | 0.6 | 2.20 | 0.11 / — | |
| GLM 4.7 New zai/glm-4.7 | 200K | text | 0.6 | 2.20 | — | |
| GLM 4.7 Flash zai/glm-4.7-flash | 200K | text | 0.07 | 0.4 | — | |
| GLM 4.7 FlashX zai/glm-4.7-flashx | 200K | text | 0.06 | 0.4 | 0.01 / — | |
| GLM 5 Turbo New zai/glm-5-turbo | 202.8K | text | 1.20 | 4.00 | 0.24 / — | |
| GLM 5.1 New zai/glm-5.1 | 202.8K | text | 1.40 | 4.40 | 0.26 / — | |
| GLM 5.2 New zai/glm-5.2 | 1M | text | 0.8 | 2.55 | 0.16 / — | |
| GLM 5.2 Fast New zai/glm-5.2-fast | 1M | text | 2.80 | 8.80 | 0.56 / — | |
| GLM 5.3 New zai/glm-5.3 | 1M | text | 1.40 | 4.40 | 0.14 / — | |
| GLM 5.3 Fast New zai/glm-5.3-fast | 1M | text | 2.10 | 6.60 | 0.21 / — | |
| GLM 5.3 Flash New zai/glm-5.3-flash | 1M | 0.15 | 0.5 | 0.03 / — | ||
| GLM 5.3 FlashX New zai/glm-5.3-flashx | 1M | 0.37 | 1.25 | 0.075 / — | ||
| GLM 5V Turbo New zai/glm-5v-turbo | 200K | 1.20 | 4.00 | 0.24 / — | ||
| GLM-5 New zai/glm-5 | 202.8K | text | 1.00 | 3.20 | — |
Pricing
We offer four packages: Free, Go, Plus and Pro. Our free tier gives you unlimited access to the
basic features, including global AI chat and paper search. Go is our affordable entry into paid
research with comments, Health, LaTeX compilation and higher limits. The Plus package is great
for everyday research with Deep Research, figure generation and watermark-free PDF exports. Our
Pro plan offers the highest limits and the full model catalog.
USD
ETB
Monthly
Yearly
Detailed Comparison of Plans
| Features | Free | Go | Plus | Pro |
|---|---|---|---|---|
| BYOK | ||||
| Bookmarks | ||||
| Basic Search | ||||
| Advanced Search | ||||
| Comments | — | |||
| Global AI Chat | ||||
| Model Selection | Basic | Standard | Wider | Full catalog |
| Selected Papers at Once | 5 | 8 | 10 | 20 |
| References Per Each Query | 5 | 12 | 20 | 50 |
| Watermark-Free PDF Export | — | — | ||
| View Generated PDF in App | — | — | — | |
| Research | Limited | Standard | Unlimited | Unlimited |
| Deep Research | — | — | ||
| LaTeX Compiler | — | |||
| Figure Generator | — | — | ||
| Voice Input & Read Aloud | — | — | ||
| Storage | 100 MB | 2 GB | 10 GB | 50 GB |
| Max API Keys | 2 | 3 | 5 | 20 |
| Rate Limit (/hr) | 1,200 | 1,800 | 2,400 | 3,600 |
| Max Results/Request | 6,000 | 6,000 | 6,000 | 6,000 |