Mistral Large vs Qwen 3.6 35B A3B
mistralai/mistral-large · qwen/qwen3-6-35b-a3b
As of November 2, 2026, Qwen 3.6 35B A3B is the cheaper API on UberLLM: $0.0049 per million input tokens and $0.0485 per million output, versus $0.0928 / $0.2784 for Mistral Large, about 84% 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 Qwen 3.6 35B A3B to cut cost; choose Mistral Large when its capabilities fit your task better.
Mistral Large vs Qwen 3.6 35B A3B, side by side
| Spec | Mistral Large | Qwen 3.6 35B A3B |
|---|---|---|
| Price · input / 1M | $0.0928 | $0.0049 |
| Price · output / 1M | $0.2784 | $0.0485 |
| Context length | 262,144 | 262,144 |
| Max output tokens | 32,768 | 262,144 |
| Input modalities | text | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | — | Yes |
| Reasoning | — | Yes |
| % off list | 95.4% off | 95.2% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 2, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Mistral Large vs Qwen 3.6 35B A3B — FAQ
Is Mistral Large or Qwen 3.6 35B A3B cheaper?
Qwen 3.6 35B A3B is cheaper on a blended token mix, by about 84%. 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 Mistral Large and Qwen 3.6 35B A3B?
Mistral Large: $0.0928 in / $0.2784 out per 1M tokens. Qwen 3.6 35B A3B: $0.0049 in / $0.0485 out per 1M tokens. That's roughly a 84% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Mistral Large and Qwen 3.6 35B A3B 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.