Gemini 3.1 Pro vs Mistral Small 3.2 24B Instruct
google/gemini-3.1-pro · mistralai/mistral-small-3.2-24b-instruct
As of November 5, 2026, Mistral Small 3.2 24B Instruct is the cheaper API on UberLLM: $0.0365 per million input tokens and $0.0973 per million output, versus $0.2196 / $1.32 for Gemini 3.1 Pro, about 92% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Mistral Small 3.2 24B Instruct to cut cost; choose Gemini 3.1 Pro when context size wins. Gemini 3.1 Pro carries the larger context window (1,048,576 vs 256,000 tokens), which can matter for long-document work.
Gemini 3.1 Pro vs Mistral Small 3.2 24B Instruct, side by side
| Spec | Gemini 3.1 Pro | Mistral Small 3.2 24B Instruct |
|---|---|---|
| Price · input / 1M | $0.2196 | $0.0365 |
| Price · output / 1M | $1.32 | $0.0973 |
| Context length | 1,048,576 | 256,000 |
| Max output tokens | 65,536 | 16,384 |
| Input modalities | text, image | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | Yes | — |
| % off list | — | 51.3% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 5, 2026.
Gemini 3.1 Pro vs Mistral Small 3.2 24B Instruct — FAQ
Is Gemini 3.1 Pro or Mistral Small 3.2 24B Instruct cheaper?
Mistral Small 3.2 24B Instruct is cheaper on a blended token mix, by about 92%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.
What's the price difference between Gemini 3.1 Pro and Mistral Small 3.2 24B Instruct?
Gemini 3.1 Pro: $0.2196 in / $1.32 out per 1M tokens. Mistral Small 3.2 24B Instruct: $0.0365 in / $0.0973 out per 1M tokens. That's roughly a 92% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Gemini 3.1 Pro and Mistral Small 3.2 24B Instruct with one API?
Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.