MISTRAL VS MOONSHOT AI

Mistral Large 3 vs Kimi K2.6

Mistral Large 3 is about 2.3x cheaper than Kimi K2.6 on a blended 3:1 input:output rate — the same 10K-in/2K-out request costs $0.008 vs $0.0175. Both models have the same 262,144-token context window.

Pricing verified

API pricing per 1M tokens

ModelInput / 1M tokensOutput / 1M tokensBlended (3:1 mix)
Mistral Large 3$0.50$1.50$0.75
Kimi K2.6$0.95$4.00$1.713

Rates from official Mistral pricing and official Moonshot AI 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—
Kimi K2.6$0.0175$1,750+$950

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 3Kimi K2.6
ProviderMistralMoonshot AI
Context window262,144 tokens262,144 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 Kimi K2.6 token counter. All Mistral models are on the Mistral Token Counter. All Moonshot AI models are on the Kimi Token Counter.

FAQ

Mistral Large 3 vs Kimi K2.6 FAQ

Which is cheaper, Mistral Large 3 or Kimi K2.6?

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 Kimi K2.6 costs $0.95 input / $4.00 output — about a 2.3x difference on a typical 3:1 input-heavy workload.

How much does a real request cost on Mistral Large 3 vs Kimi K2.6?

A request with 10,000 input tokens and 2,000 output tokens costs about $0.008 on Mistral Large 3 and $0.0175 on Kimi K2.6. At 100,000 such requests per month that is $800 vs $1,750 — a difference of $950 per month.

Which has the bigger context window, Mistral Large 3 or Kimi K2.6?

They are equal: both support 262,144 tokens of context, roughly 197,000 English words shared between prompt and response.

Do Mistral Large 3 and Kimi K2.6 count tokens the same way?

Not exactly. Mistral Large 3 uses a proprietary tokenizer (counts are estimates) and Kimi K2.6 uses a proprietary tokenizer (counts are estimates). The same prompt will tokenize differently, which shifts effective cost per word.