MISTRAL VS ALIBABA

Mistral Large 3 vs Qwen3 Max

Mistral Large 3 is about 3.2x cheaper than Qwen3 Max on a blended 3:1 input:output rate — the same 10K-in/2K-out request costs $0.008 vs $0.024. Mistral Large 3 has the larger context window (262,144 vs 252,000 tokens).

Pricing verified

API pricing per 1M tokens

ModelInput / 1M tokensOutput / 1M tokensBlended (3:1 mix)
Mistral Large 3$0.50$1.50$0.75
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.

ModelPer request (10K in / 2K out)Per month (100K requests)Monthly delta
Mistral Large 3$0.008$800—
Qwen3 Max$0.024$2,400+$1,600

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

SpecMistral Large 3Qwen3 Max
ProviderMistralAlibaba
Context window262,144 tokens252,000 tokens
Model classGeneral textReasoning
TokenizerProprietary (counts estimated)qwen (exact, public)

Count tokens for each model on its own page: Mistral Large 3 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 Large 3 vs Qwen3 Max FAQ

Which is cheaper, Mistral Large 3 or Qwen3 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 Max costs $1.20 input / $6.00 output — about a 3.2x difference on a typical 3:1 input-heavy workload.

How much does a real request cost on Mistral Large 3 vs Qwen3 Max?

A request with 10,000 input tokens and 2,000 output tokens costs about $0.008 on Mistral Large 3 and $0.024 on Qwen3 Max. At 100,000 such requests per month that is $800 vs $2,400 — a difference of $1,600 per month.

Which has the bigger context window, Mistral Large 3 or Qwen3 Max?

Mistral Large 3. It supports 262,144 tokens of context versus 252,000 tokens — roughly 197,000 English words in one request.

Do Mistral Large 3 and Qwen3 Max count tokens the same way?

Not exactly. Mistral Large 3 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.