For Developers/Models/Compare/Claude Sonnet 4.6 vs Mistral Large

Claude Sonnet 4.6 vs Mistral Large

Pricing, benchmarks, and use case comparison

Quick take

  • Claude Sonnet 4.6 is meaningfully stronger at long context (90 vs 70 on our capability index).
  • Mistral Large is 33% cheaper on input tokens, which compounds fast on high-volume or agentic workloads.
  • Claude Sonnet 4.6 has a 1M context window vs 128000 - better for whole-repo or long-document work.

Specs comparison

Claude Sonnet 4.6Mistral Large
ProviderAnthropicMistral AI
TypeClosed sourceClosed source
Context window1M128000
Input / 1M tokens$3.002.00
Output / 1M tokens$15.006.00
Release date2026-022024-02

Benchmarks

BenchmarkClaude Sonnet 4.6Mistral Large
SWE-bench Verified79.6%-
Terminal-Bench 2.059.1%-
OSWorld-Verified72.5%-
GPQA79.7%-
MMLU-84.0%
HumanEval-92.0%

Scores sourced from official provider release posts and independent benchmark aggregators.

Which should you choose?

Choose Claude Sonnet 4.6 if...

  • You have an existing integration pinned to Sonnet 4.6 and want stability
  • You need a proven mid-tier model with 1M context at $3/$15
  • You want predictable behavior without the new-tokenizer/thinking changes in Sonnet 5
  • You are cost-sensitive and don't need Sonnet 5's incremental gains
Full Claude Sonnet 4.6 details →

Choose Mistral Large if...

  • You need a strong European-built flagship with open weights
  • Your work is multilingual or requires nuanced reasoning
  • You want structured/JSON output and solid coding ability
  • You need the option to self-host for data sovereignty
Full Mistral Large details →

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