Mistral Large vs Qwen3 30B A3B
mistralai/mistral-large · qwen/qwen3-30b-a3b
As of October 31, 2026, Qwen3 30B A3B is the cheaper API on UberLLM: $0.0517 per million input tokens and $0.2152 per million output, versus $0.1000 / $0.3000 for Mistral Large, about 30% 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 Qwen3 30B A3B to cut cost; choose Mistral Large when its capabilities fit your task better.
Mistral Large vs Qwen3 30B A3B, side by side
| Spec | Mistral Large | Qwen3 30B A3B |
|---|---|---|
| Price · input / 1M | $0.1000 | $0.0517 |
| Price · output / 1M | $0.3000 | $0.2152 |
| Context length | 128,000 | 256,000 |
| Max output tokens | 4,096 | 32,768 |
| Input modalities | text, image | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Reasoning | — | Yes |
| % off list | 95% off | 57% 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?
Mistral Large vs Qwen3 30B A3B — FAQ
Is Mistral Large or Qwen3 30B A3B cheaper?
Qwen3 30B A3B is cheaper on a blended token mix, by about 30%. 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 Qwen3 30B A3B?
Mistral Large: $0.1000 in / $0.3000 out per 1M tokens. Qwen3 30B A3B: $0.0517 in / $0.2152 out per 1M tokens. That's roughly a 30% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Mistral Large and Qwen3 30B 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.