Directory
AI models: prices, context windows and grid references
286 models from 13 creators, 93 of them open-weight. Prices are per 1M tokens on each model’s cheapest available standard-tier offer, each one linked to its source and date; the newest was checked 12 Oct 2026. 180 have a standard-tier price and a context window, so they sit on the atlas.
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Cite this page
ModelsAtlas. “AI models: prices, context windows and grid references”. Retrieved 12 Oct 2026. https://modelsatlas.com/models
Showing 1–50 of 286 models · cheapest input first, models without a standard-tier price last
| Model | Grid | Context | Input / 1M | Output / 1M |
|---|---|---|---|---|
| Lyria 3 Clip PreviewGoogle | GRIDA5 | 1.05M | Free | Free |
| Lyria 3 Pro PreviewGoogle | GRIDA5 | 1.05M | Free | Free |
| gpt-oss-20bOpenAI | GRIDB3 | 131K | $0.02 | $0.09 |
| Llama 3.2 1B InstructMeta | GRIDB2 | 60K | $0.03 | $0.20 |
| Mistral NemoMistral AI | GRIDB3 | 131K | $0.03 | $0.03 |
| gpt-oss-120bOpenAI | GRIDB3 | 131K | $0.03 | $0.15 |
| Qwen3.7 FlashQwen (Alibaba) | GRIDB5 | 1M | $0.03 | $0.13 |
| Command R7B (12-2024)Cohere | GRIDB2 | 128K | $0.04 | $0.15 |
| Gemma 3 12BGoogle | GRIDB3 | 131K | $0.05 | $0.15 |
| Gemma 3 4BGoogle | GRIDB3 | 131K | $0.05 | $0.10 |
| Llama 3.1 8B InstructMeta | GRIDB3 | 131K | $0.05 | $0.08 |
| Llama 3.2 3B InstructMeta | GRIDB3 | 131K | $0.05 | $0.33 |
| Mistral Small 3Mistral AI | GRIDB2 | 33K | $0.05 | $0.08 |
| Nemotron 3 Nano 30B A3BNVIDIA | GRIDB4 | 262K | $0.06 | $0.24 |
| Qwen3.5-FlashQwen (Alibaba) | GRIDB5 | 1M | $0.07 | $0.26 |
| Gemma 4 26B A4BGoogle | GRIDB4 | 262K | $0.07 | $0.23 |
| Nemotron 3.5 Lightning (free)NVIDIA | GRIDB5 | 1M | $0.07 | $0.20 |
| Phi 4Microsoft | GRIDB1 | 16K | $0.07 | $0.14 |
| Qwen3 Coder 30B A3B InstructQwen (Alibaba) | GRIDB4 | 262K | $0.07 | $0.28 |
| gpt-oss-safeguard-20bOpenAI | GRIDB3 | 131K | $0.08 | $0.30 |
| Gemma 3 27BGoogle | GRIDB3 | 131K | $0.08 | $0.45 |
| Nemotron 3 SuperNVIDIA | GRIDB4 | 262K | $0.08 | $0.45 |
| Qwen3 32BQwen (Alibaba) | GRIDB3 | 131K | $0.08 | $0.28 |
| Qwen3.5-35B-A3BQwen (Alibaba) | GRIDB4 | 262K | $0.08 | $0.75 |
| DeepSeek V4 Flash 0731DeepSeek | GRIDB5 | 1.05M | $0.08 | $0.17 |
| Gemma 4 31BGoogle | GRIDB4 | 262K | $0.09 | $0.34 |
| Qwen3 235B A22B Instruct 2507Qwen (Alibaba) | GRIDB4 | 262K | $0.09 | $0.55 |
| Mistral Small 3.2 24BMistral AI | GRIDB3 | 256K | $0.09 | $0.25 |
| Claude Haiku 5.5Anthropic | GRIDC5 | 1M | $0.10 | $0.50 |
| GPT-6 LunaOpenAI | GRIDC6 | 1.05M | $0.10 | $0.50 |
| Llama 4 ScoutMeta | GRIDC6 | 1.31M | $0.10 | $0.30 |
| Ministral 3 3B 2512Mistral AI | GRIDC3 | 131K | $0.10 | $0.10 |
| Muse Spark 1.2 ContributorMeta | GRIDC5 | 1.05M | $0.10 | $0.20 |
| Muse Spark 1.3 ContributorMeta | GRIDC5 | 1.05M | $0.10 | $0.20 |
| Qwen2.5 7B InstructQwen (Alibaba) · open weights | GRIDC2 | 33K | $0.10 | $0.20 |
| Qwen3 30B A3B Instruct 2507Qwen (Alibaba) | GRIDC4 | 262K | $0.10 | $0.30 |
| Qwen3 Next 80B A3B InstructQwen (Alibaba) | GRIDC4 | 262K | $0.10 | $1.10 |
| Qwen3.5-9BQwen (Alibaba) | GRIDC4 | 262K | $0.10 | $0.15 |
| Qwen3.6 35B A3BQwen (Alibaba) · open weights | GRIDC4 | 262K | $0.10 | $0.95 |
| Voxtral Small 24B 2507Mistral AI | GRIDC2 | 33K | $0.10 | $0.30 |
| Qwen3 14BQwen (Alibaba) · open weights | GRIDC2 | 41K | $0.12 | $0.24 |
| Qwen3 30B A3BQwen (Alibaba) | GRIDC2 | 41K | $0.12 | $0.50 |
| Qwen3 Coder NextQwen (Alibaba) | GRIDC4 | 262K | $0.12 | $0.80 |
| Command R (08-2024)Cohere | GRIDC2 | 128K | $0.15 | $0.60 |
| Ministral 3 8B 2512Mistral AI | GRIDC4 | 262K | $0.15 | $0.15 |
| Mistral Small 4Mistral AI | GRIDC4 | 262K | $0.15 | $0.60 |
| Qwen3 VL 30B A3B InstructQwen (Alibaba) | GRIDC4 | 262K | $0.15 | $0.60 |
| Qwen3.8 FlashQwen (Alibaba) | GRIDC5 | 1M | $0.15 | $0.47 |
| Qwen3.8 Omni FlashQwen (Alibaba) | GRIDC5 | 1M | $0.15 | $0.47 |
| Llama Guard 4 12BMeta | GRIDC3 | 164K | $0.18 | $0.18 |
Standard-tier prices from the cheapest available offer. “—” means we hold no price, or no context window, for it yet.Suggest a correction
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About this directory
One row per model page. Size variants (mini, pro, flash) and serving tiers (batch, free, thinking) belong to the same model, so they appear as rows on its page, not as separate entries. A grid reference places a model by price and context; it is not a quality score. See our methodology.