MISTRAL VS XAI

Mistral Large 3 vs Grok Build 0.1

Mistral Large 3 is about 1.7x cheaper than Grok Build 0.1 on a blended 3:1 input:output rate — the same 10K-in/2K-out request costs $0.008 vs $0.014. Mistral Large 3 has the larger context window (262,144 vs 256,000 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
Grok Build 0.1$1.00$2.00$1.25

Rates from official Mistral pricing and official xAI 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—
Grok Build 0.1$0.014$1,400+$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 3Grok Build 0.1
ProviderMistralxAI
Context window262,144 tokens256,000 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 Grok Build 0.1 token counter. All Mistral models are on the Mistral Token Counter. All xAI models are on the Grok Token Counter.

FAQ

Mistral Large 3 vs Grok Build 0.1 FAQ

Which is cheaper, Mistral Large 3 or Grok Build 0.1?

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 Grok Build 0.1 costs $1.00 input / $2.00 output — about a 1.7x difference on a typical 3:1 input-heavy workload.

How much does a real request cost on Mistral Large 3 vs Grok Build 0.1?

A request with 10,000 input tokens and 2,000 output tokens costs about $0.008 on Mistral Large 3 and $0.014 on Grok Build 0.1. At 100,000 such requests per month that is $800 vs $1,400 — a difference of $600 per month.

Which has the bigger context window, Mistral Large 3 or Grok Build 0.1?

Mistral Large 3. It supports 262,144 tokens of context versus 256,000 tokens — roughly 197,000 English words in one request.

Do Mistral Large 3 and Grok Build 0.1 count tokens the same way?

Not exactly. Mistral Large 3 uses a proprietary tokenizer (counts are estimates) and Grok Build 0.1 uses a proprietary tokenizer (counts are estimates). The same prompt will tokenize differently, which shifts effective cost per word.