MISTRAL VS ALIBABA
Mistral Large 3 vs Qwen3.7 Max
Mistral Large 3 is about 5.0x cheaper than Qwen3.7 Max on a blended 3:1 input:output rate — the same 10K-in/2K-out request costs $0.008 vs $0.04. Qwen3.7 Max has the larger context window (1,000,000 vs 262,144 tokens).
Pricing verified
API pricing per 1M tokens
| Model | Input / 1M tokens | Output / 1M tokens | Blended (3:1 mix) |
|---|---|---|---|
| Mistral Large 3 | $0.50 | $1.50 | $0.75 |
| Qwen3.7 Max | $2.50 | $7.50 | $3.75 |
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 Large 3 | $0.008 | $800 | — |
| Qwen3.7 Max | $0.04 | $4,000 | +$3,200 |
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 Large 3 | Qwen3.7 Max |
|---|---|---|
| Provider | Mistral | Alibaba |
| Context window | 262,144 tokens | 1,000,000 tokens |
| Model class | General text | Reasoning |
| Tokenizer | Proprietary (counts estimated) | Proprietary (counts estimated) |
Count tokens for each model on its own page: Mistral Large 3 token counter and Qwen3.7 Max token counter. All Mistral models are on the Mistral Token Counter. All Alibaba models are on the Qwen Token Counter.
FAQ
Mistral Large 3 vs Qwen3.7 Max FAQ
Which is cheaper, Mistral Large 3 or Qwen3.7 Max?
Mistral Large 3 is cheaper. At rates checked 2026-08-11, Mistral Large 3 costs $0.50 input / $1.50 output per 1M tokens, while Qwen3.7 Max costs $2.50 input / $7.50 output — about a 5.0x difference on a typical 3:1 input-heavy workload.
How much does a real request cost on Mistral Large 3 vs Qwen3.7 Max?
A request with 10,000 input tokens and 2,000 output tokens costs about $0.008 on Mistral Large 3 and $0.04 on Qwen3.7 Max. At 100,000 such requests per month that is $800 vs $4,000 — a difference of $3,200 per month.
Which has the bigger context window, Mistral Large 3 or Qwen3.7 Max?
Qwen3.7 Max. It supports 1,000,000 tokens of context versus 262,144 tokens — roughly 750,000 English words in one request.
Do Mistral Large 3 and Qwen3.7 Max count tokens the same way?
Not exactly. Mistral Large 3 uses a proprietary tokenizer (counts are estimates) and Qwen3.7 Max uses a proprietary tokenizer (counts are estimates). The same prompt will tokenize differently, which shifts effective cost per word.