Compare
Mistral Small 3.1 24B vs Openai Gpt 4o
This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.
Model
Mistral Small 3.1 24B
Context window
131K
131,072 tokens · ~98K words
Context window · side by side
Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.
Mistral Small 3.1 24B has about 1× the context window of the other in this pair.
Mistral Small 3.1 24B has 2% more context capacity (131K vs 128K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Mistral Small 3.1 24B. Its 131K context fits entire documents without chunking (vs 128K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Mistral Small 3.1 24B | Openai Gpt 4o |
|---|---|---|
| Context window | 131,072 tokens (131K) | 128,000 tokens (128K) |
| Max output tokens | 131,072 tokens (131K) | N/A |
| Speed tier | Balanced | Balanced |
| Vision | Yes | No |
| Function calling | No | No |
| Extended thinking | No | No |
| Prompt caching | Yes | No |
| Batch API | No | Yes |
| Release date | Mar 2025 | N/A |
Pricing matrix
Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.
| Provider | Mistral Small 3.1 24B in | Mistral Small 3.1 24B out | Openai Gpt 4o in | Openai Gpt 4o out |
|---|---|---|---|---|
| Gradient | — | — | — | — |
| Openrouter | $0.100/M | $0.300/M | — | — |
Frequently asked questions
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Example: a multi-turn chat session
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