MISTRAL VS ALIBABA
Mistral Medium 3.5 vs Qwen3 Max
Qwen3 Max is about 1.3x cheaper than Mistral Medium 3.5 on a blended 3:1 input:output rate — the same 10K-in/2K-out request costs $0.024 vs $0.03. Mistral Medium 3.5 has the larger context window (262,144 vs 252,000 tokens).
Pricing verified
API pricing per 1M tokens
| Model | Input / 1M tokens | Output / 1M tokens | Blended (3:1 mix) |
|---|---|---|---|
| Mistral Medium 3.5 | $1.50 | $7.50 | $3.00 |
| Qwen3 Max | $1.20 | $6.00 | $2.40 |
Rates from official Mistral pricing and official Alibaba pricing, checked 2026-08-11.
What a real workload costs
Example: one request with 10,000 input tokens and 2,000 output tokens, then that request at 100,000 runs per month.
| Model | Per request (10K in / 2K out) | Per month (100K requests) | Monthly delta |
|---|---|---|---|
| Mistral Medium 3.5 | $0.03 | $3,000 | +$600 |
| Qwen3 Max | $0.024 | $2,400 | — |
Model your own prompt sizes and volumes in the token cost analyzer, or check caching savings with the prompt caching calculator.
Specs side by side
| Spec | Mistral Medium 3.5 | Qwen3 Max |
|---|---|---|
| Provider | Mistral | Alibaba |
| Context window | 262,144 tokens | 252,000 tokens |
| Model class | General text | Reasoning |
| Tokenizer | Proprietary (counts estimated) | qwen (exact, public) |
Count tokens for each model on its own page: Mistral Medium 3.5 token counter and Qwen3 Max token counter. All Mistral models are on the Mistral Token Counter. All Alibaba models are on the Qwen Token Counter.
FAQ
Mistral Medium 3.5 vs Qwen3 Max FAQ
Which is cheaper, Mistral Medium 3.5 or Qwen3 Max?
Qwen3 Max is cheaper. At rates checked 2026-08-11, Mistral Medium 3.5 costs $1.50 input / $7.50 output per 1M tokens, while Qwen3 Max costs $1.20 input / $6.00 output — about a 1.3x difference on a typical 3:1 input-heavy workload.
How much does a real request cost on Mistral Medium 3.5 vs Qwen3 Max?
A request with 10,000 input tokens and 2,000 output tokens costs about $0.03 on Mistral Medium 3.5 and $0.024 on Qwen3 Max. At 100,000 such requests per month that is $3,000 vs $2,400 — a difference of $600 per month.
Which has the bigger context window, Mistral Medium 3.5 or Qwen3 Max?
Mistral Medium 3.5. It supports 262,144 tokens of context versus 252,000 tokens — roughly 197,000 English words in one request.
Do Mistral Medium 3.5 and Qwen3 Max count tokens the same way?
Not exactly. Mistral Medium 3.5 uses a proprietary tokenizer (counts are estimates) and Qwen3 Max uses the published qwen tokenizer. The same prompt will tokenize differently, which shifts effective cost per word.