MISTRAL VS XAI

Mistral Medium 3.5 vs Grok 4.3

Grok 4.3 is about 1.9x cheaper than Mistral Medium 3.5 on a blended 3:1 input:output rate — the same 10K-in/2K-out request costs $0.0175 vs $0.03. Grok 4.3 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 Medium 3.5$1.50$7.50$3.00
Grok 4.3$1.25$2.50$1.563

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+$1,250
Grok 4.3$0.0175$1,750—

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 4.3
ProviderMistralxAI
Context window262,144 tokens1,000,000 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 4.3 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 4.3 FAQ

Which is cheaper, Mistral Medium 3.5 or Grok 4.3?

Grok 4.3 is cheaper. At rates checked 2026-08-11, Mistral Medium 3.5 costs $1.50 input / $7.50 output per 1M tokens, while Grok 4.3 costs $1.25 input / $2.50 output — about a 1.9x difference on a typical 3:1 input-heavy workload.

How much does a real request cost on Mistral Medium 3.5 vs Grok 4.3?

A request with 10,000 input tokens and 2,000 output tokens costs about $0.03 on Mistral Medium 3.5 and $0.0175 on Grok 4.3. At 100,000 such requests per month that is $3,000 vs $1,750 — a difference of $1,250 per month.

Which has the bigger context window, Mistral Medium 3.5 or Grok 4.3?

Grok 4.3. It supports 1,000,000 tokens of context versus 262,144 tokens — roughly 750,000 English words in one request.

Do Mistral Medium 3.5 and Grok 4.3 count tokens the same way?

Not exactly. Mistral Medium 3.5 uses a proprietary tokenizer (counts are estimates) and Grok 4.3 uses a proprietary tokenizer (counts are estimates). The same prompt will tokenize differently, which shifts effective cost per word.