MISTRAL VS XAI

Magistral Medium vs Grok 4.5

Magistral Medium is about 1.1x cheaper than Grok 4.5 on a blended 3:1 input:output rate — the same 10K-in/2K-out request costs $0.03 vs $0.032. Grok 4.5 has the larger context window (500,000 vs 128,000 tokens).

Pricing verified

API pricing per 1M tokens

ModelInput / 1M tokensOutput / 1M tokensBlended (3:1 mix)
Magistral Medium$2.00$5.00$2.75
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
Magistral Medium$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

SpecMagistral MediumGrok 4.5
ProviderMistralxAI
Context window128,000 tokens500,000 tokens
Model classReasoningReasoning
TokenizerProprietary (counts estimated)Proprietary (counts estimated)

Count tokens for each model on its own page: Magistral Medium 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

Magistral Medium vs Grok 4.5 FAQ

Which is cheaper, Magistral Medium or Grok 4.5?

Magistral Medium is cheaper. At rates checked 2026-08-11, Magistral Medium costs $2.00 input / $5.00 output per 1M tokens, while Grok 4.5 costs $2.00 input / $6.00 output — about a 1.1x difference on a typical 3:1 input-heavy workload.

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

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

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

Grok 4.5. It supports 500,000 tokens of context versus 128,000 tokens — roughly 375,000 English words in one request.

Do Magistral Medium and Grok 4.5 count tokens the same way?

Not exactly. Magistral Medium 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.