Mistral Small 4: price, context window and capabilities
Mistral Small 4 is a model from Mistral AI (mistralai/mistral-small-2603). It supports reasoning. It supports tool use. It costs $0.150 per million input tokens and $0.600 per million output tokens, with a 262K-token context window.
What it costs in practice
Using the listed prices: a chat turn of 2,000 input and 500 output tokens costs about $0.0006, so 10,000 such turns cost about $6.00. Summarising a 100,000-token document into 2,000 tokens costs about $0.016. A long agent run that reads 1 million tokens and writes 50,000 costs about $0.180.
How it compares
Among the 40 models we track, Mistral Small 4 ranks #7 by input price and #11 by output price (1 is cheapest), and #31 by context window (1 is largest). Models with the same tool and reasoning support that cost less per output token: DeepSeek V4 Pro 0423 ($0.418), Qwen3.8 Omni Flash ($0.470), Qwen3.8 Flash ($0.470), GPT-6 Luna Pro ($0.500). Models with a larger context window at the same or lower output price: Llama 4 Scout (1.3M), GPT-6 Luna Pro (1.1M), GPT-6 Luna (1.1M), DeepSeek V4 Pro 0423 (1.0M).
More from Mistral AI
- Mistral Medium 3.5: $1.50 in / $7.50 out, 262K context
- Devstral 2 2512: $0.400 in / $2.00 out, 262K context
- Ministral 3 14B 2512: $0.200 in / $0.200 out, 262K context
Prices and limits come from OpenRouter's public model catalogue, last synced 4 Oct 2026. Provider pricing can differ from OpenRouter's and changes often; confirm on the provider's own page before you commit. See the guide to choosing a model or the full comparison.
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