MISTRAL VS ALIBABA

Mistral Large 3 vs Qwen3.5 Plus

Mistral Large 3 is about 1.2x cheaper than Qwen3.5 Plus on a blended 3:1 input:output rate — the same 10K-in/2K-out request costs $0.008 vs $0.0088. Qwen3.5 Plus has the larger context window (1,000,000 vs 262,144 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
Qwen3.5 Plus$0.40$2.40$0.90

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—
Qwen3.5 Plus$0.0088$880+$80

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 3Qwen3.5 Plus
ProviderMistralAlibaba
Context window262,144 tokens1,000,000 tokens
Model classGeneral textGeneral text
TokenizerProprietary (counts estimated)Proprietary (counts estimated)

Count tokens for each model on its own page: Mistral Large 3 token counter and Qwen3.5 Plus 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 Qwen3.5 Plus FAQ

Which is cheaper, Mistral Large 3 or Qwen3.5 Plus?

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 Qwen3.5 Plus costs $0.40 input / $2.40 output — about a 1.2x difference on a typical 3:1 input-heavy workload.

How much does a real request cost on Mistral Large 3 vs Qwen3.5 Plus?

A request with 10,000 input tokens and 2,000 output tokens costs about $0.008 on Mistral Large 3 and $0.0088 on Qwen3.5 Plus. At 100,000 such requests per month that is $800 vs $880 — a difference of $80 per month.

Which has the bigger context window, Mistral Large 3 or Qwen3.5 Plus?

Qwen3.5 Plus. 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 Qwen3.5 Plus count tokens the same way?

Not exactly. Mistral Large 3 uses a proprietary tokenizer (counts are estimates) and Qwen3.5 Plus uses a proprietary tokenizer (counts are estimates). The same prompt will tokenize differently, which shifts effective cost per word.