Gemini 3.1 Pro vs Mistral: Mistral Large 4
google/gemini-3.1-pro · mistralai/mistral-large-4-0
As of November 5, 2026, Mistral: Mistral Large 4 is the cheaper API on UberLLM: $0.1326 per million input tokens and $0.3980 per million output, versus $0.8000 / $4.80 for Gemini 3.1 Pro, about 91% 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: Mistral Large 4 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 524,288 tokens), which can matter for long-document work.
Gemini 3.1 Pro vs Mistral: Mistral Large 4, side by side
| Spec | Gemini 3.1 Pro | Mistral: Mistral Large 4 |
|---|---|---|
| Price · input / 1M | $0.8000 | $0.1326 |
| Price · output / 1M | $4.80 | $0.3980 |
| Context length | 1,048,576 | 524,288 |
| Max output tokens | 65,536 | 262,144 |
| Input modalities | text, image | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | — | 81.1% 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. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Gemini 3.1 Pro vs Mistral: Mistral Large 4 — FAQ
Is Gemini 3.1 Pro or Mistral: Mistral Large 4 cheaper?
Mistral: Mistral Large 4 is cheaper on a blended token mix, by about 91%. 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: Mistral Large 4?
Gemini 3.1 Pro: $0.8000 in / $4.80 out per 1M tokens. Mistral: Mistral Large 4: $0.1326 in / $0.3980 out per 1M tokens. That's roughly a 91% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Gemini 3.1 Pro and Mistral: Mistral Large 4 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.