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Devstral Small 1.1 vs Openai Gpt 5 Mini
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.
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.
Openai Gpt 5 Mini has about 7.6× the context window of the other in this pair.
Openai Gpt 5 Mini has 662% more context capacity (1000K vs 131K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Openai Gpt 5 Mini. Its 1000K context fits entire documents without chunking (vs 131K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Devstral Small 1.1 | Openai Gpt 5 Mini |
|---|---|---|
| Context window | 131,072 tokens (131K) | 1,000,000 tokens (1000K) |
| Max output tokens | N/A | 16,384 tokens (16K) |
| Speed tier | Balanced | Fast |
| Vision | No | No |
| Function calling | Yes | Yes |
| Extended thinking | No | No |
| Prompt caching | Yes | No |
| Batch API | No | No |
| Release date | Jul 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 | Devstral Small 1.1 in | Devstral Small 1.1 out | Openai Gpt 5 Mini in | Openai Gpt 5 Mini out |
|---|---|---|---|---|
| Snowflake | — | — | $0.300/M | $1.20/M |
Frequently asked questions
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