MISTRAL VS XAI

Mistral Medium 3.5 vs Grok 4.5

Mistral Medium 3.5 and Grok 4.5 cost the same on a blended 3:1 input:output rate ($3.00 per 1M tokens). Grok 4.5 has the larger context window (500,000 vs 262,144 tokens).

Pricing verified

API pricing per 1M tokens

ModelInput / 1M tokensOutput / 1M tokensBlended (3:1 mix)
Mistral Medium 3.5$1.50$7.50$3.00
Grok 4.5$2.00$6.00$3.00

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 Medium 3.5$0.03$3,000—
Grok 4.5$0.032$3,200+$200

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 Medium 3.5Grok 4.5
ProviderMistralxAI
Context window262,144 tokens500,000 tokens
Model classGeneral textReasoning
TokenizerProprietary (counts estimated)Proprietary (counts estimated)

Count tokens for each model on its own page: Mistral Medium 3.5 token counter and Grok 4.5 token counter. All Mistral models are on the Mistral Token Counter. All xAI models are on the Grok Token Counter.

FAQ

Mistral Medium 3.5 vs Grok 4.5 FAQ

Which is cheaper, Mistral Medium 3.5 or Grok 4.5?

They currently cost the same blended rate. Mistral Medium 3.5 is $1.50 in / $7.50 out per 1M tokens and Grok 4.5 is $2.00 in / $6.00 out, checked 2026-08-11.

How much does a real request cost on Mistral Medium 3.5 vs Grok 4.5?

A request with 10,000 input tokens and 2,000 output tokens costs about $0.03 on Mistral Medium 3.5 and $0.032 on Grok 4.5. At 100,000 such requests per month that is $3,000 vs $3,200.

Which has the bigger context window, Mistral Medium 3.5 or Grok 4.5?

Grok 4.5. It supports 500,000 tokens of context versus 262,144 tokens — roughly 375,000 English words in one request.

Do Mistral Medium 3.5 and Grok 4.5 count tokens the same way?

Not exactly. Mistral Medium 3.5 uses a proprietary tokenizer (counts are estimates) and Grok 4.5 uses a proprietary tokenizer (counts are estimates). The same prompt will tokenize differently, which shifts effective cost per word.