DeepSeek V3.2 vs Mistral Large
deepseek/deepseek-v3.2 · mistralai/mistral-large
As of October 31, 2026, DeepSeek V3.2 is the cheaper API on UberLLM: $0.0026 per million input tokens and $0.0038 per million output, versus $0.1000 / $0.3000 for Mistral Large, about 99% less when output is 3 tokens for every input token. These are the median prices buyers paid over the last 24 hours. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose DeepSeek V3.2 to cut cost; choose Mistral Large when its capabilities fit your task better.
DeepSeek V3.2 vs Mistral Large, side by side
| Spec | DeepSeek V3.2 | Mistral Large |
|---|---|---|
| Price · input / 1M | $0.0026 | $0.1000 |
| Price · output / 1M | $0.0038 | $0.3000 |
| Context length | 160,000 | 128,000 |
| Max output tokens | 32,768 | 4,096 |
| Input modalities | text | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | — | Yes |
| Reasoning | Yes | — |
| % off list | 99% off | 95% off |
Median prices buyers paid on UberLLM over the last 24 hours. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated October 31, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
DeepSeek V3.2 vs Mistral Large — FAQ
Is DeepSeek V3.2 or Mistral Large cheaper?
DeepSeek V3.2 is cheaper on a blended token mix, by about 99%. 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 DeepSeek V3.2 and Mistral Large?
DeepSeek V3.2: $0.0026 in / $0.0038 out per 1M tokens. Mistral Large: $0.1000 in / $0.3000 out per 1M tokens. That's roughly a 99% blended difference. Prices are live; UberLLM adds no fee.
Can I use both DeepSeek V3.2 and Mistral Large 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.