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Mistral Large 3 vs Grok 4

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Mistral Large 3 Cost
$0.80
Grok 4 Cost
$6.00
Mistral Large 3 is 87% cheaper
FeatureMistral Large 3Grok 4
ProviderMistralxAI
Input Price (1M)$0.50$3.00
Output Price (1M)$1.50$15.00
Context Window262,000256,000

Verdict

Mistral Large 3 costs $0.50 per 1M input tokens and $1.50 per 1M output tokens. Grok 4 costs $3.00 per 1M input tokens and $15.00 per 1M output tokens. Mistral Large 3 is 83% cheaper on input tokens than Grok 4. For output tokens, Mistral Large 3 is the more affordable option at $1.50/1M vs $15.00.

On context window, Mistral Large 3 supports 262,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.

When to choose Mistral Large 3

  • ✓ You need the lowest input token cost ($ 0.50/1M)
  • ✓ Your workload is output-heavy — Mistral Large 3 generates text cheaper
  • ✓ You need a larger context window (262,000 tokens)
  • ✓ You are already integrated with Mistral

When to choose Grok 4

  • ✓ You are already integrated with xAI

Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.

Frequently Asked Questions

Is Mistral Large 3 cheaper than Grok 4?

Mistral Large 3 is cheaper on input tokens at $0.50/1M vs $3.00/1M for Grok 4 — a 83% saving.

What is the context window of Mistral Large 3 vs Grok 4?

Mistral Large 3 has a 262,000-token context window. Grok 4 has a 256,000-token context window. Mistral Large 3 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: Mistral Large 3 or Grok 4?

The best choice depends on your use case. For cost efficiency on input tokens, Mistral Large 3 is the cheaper option. For maximum context length, Mistral Large 3 supports 262,000 tokens. Use the comparison table above to find the right fit for your workload.