MISTRAL VS ALIBABA

Magistral Medium vs Qwen3 Max

Qwen3 Max is about 1.1x cheaper than Magistral Medium on a blended 3:1 input:output rate — the same 10K-in/2K-out request costs $0.024 vs $0.03. Qwen3 Max has the larger context window (252,000 vs 128,000 tokens).

Pricing verified

API pricing per 1M tokens

ModelInput / 1M tokensOutput / 1M tokensBlended (3:1 mix)
Magistral Medium$2.00$5.00$2.75
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
Magistral Medium$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

SpecMagistral MediumQwen3 Max
ProviderMistralAlibaba
Context window128,000 tokens252,000 tokens
Model classReasoningReasoning
TokenizerProprietary (counts estimated)qwen (exact, public)

Count tokens for each model on its own page: Magistral Medium 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

Magistral Medium vs Qwen3 Max FAQ

Which is cheaper, Magistral Medium or Qwen3 Max?

Qwen3 Max is cheaper. At rates checked 2026-08-11, Magistral Medium costs $2.00 input / $5.00 output per 1M tokens, while Qwen3 Max costs $1.20 input / $6.00 output — about a 1.1x difference on a typical 3:1 input-heavy workload.

How much does a real request cost on Magistral Medium vs Qwen3 Max?

A request with 10,000 input tokens and 2,000 output tokens costs about $0.03 on Magistral Medium 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, Magistral Medium or Qwen3 Max?

Qwen3 Max. It supports 252,000 tokens of context versus 128,000 tokens — roughly 189,000 English words in one request.

Do Magistral Medium and Qwen3 Max count tokens the same way?

Not exactly. Magistral Medium 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.