LIVE
ANTHROPICOpus 4.7 benchmarks published2m ago
CLAUDEOK142ms
OPUS 4.7$15 / $75per Mtok
CHATGPTOK89ms
HACKERNEWSWhy has not AI improved design quality the way it improved dev speed?14m ago
MMLU-PROleader Opus 4.788.4
GEMINIDEGRADED312ms
MISTRALMistral Medium 3 released6m ago
GPT-4o$5 / $15per Mtok
ARXIVCompositional reasoning in LRMs22m ago
BEDROCKOK178ms
GEMINI 2.5$3.50 / $10.50per Mtok
THE VERGEFrontier Model Forum expansion announced38m ago
SWE-BENCHleader Claude Opus 4.772.1%
MISTRALOK104ms
ANTHROPICOpus 4.7 benchmarks published2m ago
CLAUDEOK142ms
OPUS 4.7$15 / $75per Mtok
CHATGPTOK89ms
HACKERNEWSWhy has not AI improved design quality the way it improved dev speed?14m ago
MMLU-PROleader Opus 4.788.4
GEMINIDEGRADED312ms
MISTRALMistral Medium 3 released6m ago
GPT-4o$5 / $15per Mtok
ARXIVCompositional reasoning in LRMs22m ago
BEDROCKOK178ms
GEMINI 2.5$3.50 / $10.50per Mtok
THE VERGEFrontier Model Forum expansion announced38m ago
SWE-BENCHleader Claude Opus 4.772.1%
MISTRALOK104ms

Mistral Large vs Claude Sonnet 4.6

Mistral Large and Claude Sonnet 4.6 both compete for the mid-tier production workload, but they win on different axes. Sonnet 4.6 leads on benchmarks across the board. Mistral Large offers EU-resident inference, stronger multilingual coverage, and a slightly lower price point. For compliance-heavy European deployments or workloads where multilingual matters more than English benchmark scores, Mistral wins.

Head-to-Head Specs

SpecMistral LargeClaude Sonnet 4.6
ProviderMistralAnthropic
Input Price$2.00/1M$3.00/1M
Output Price$6.00/1M$15.00/1M
Context Window128K200K
Released2025-012026-03
Capabilitiestext, vision, tool-use, codetext, vision, tool-use, code

Benchmark Scores

BenchmarkMistral LargeClaude Sonnet 4.6Winner
MMLU-Pro86.888.7Claude
HumanEval89.192.0Claude
GPQA Diamond57.365.8Claude
MATH80.485.4Claude
SWE-bench46.255.7Claude

See the full benchmark leaderboard for all models.

Category Breakdown

General reasoning (MMLU-Pro)Claude Sonnet 4.6

Sonnet 4.6 at 88.7 vs Mistral Large at 86.8

Code generation (HumanEval)Claude Sonnet 4.6

Sonnet 4.6 at 92.0 vs Mistral Large at 89.1

SWE-benchClaude Sonnet 4.6

Sonnet 4.6 at 55.7 vs Mistral Large at 46.2

PricingMistral Large

Mistral Large at $2/$6 vs Sonnet 4.6 at $3/$15. Cheaper, especially on output.

MultilingualMistral Large

Mistral has stronger multilingual coverage by design.

Data sovereigntyMistral Large

Mistral offers EU-resident inference; Anthropic is US-based.

Context windowClaude Sonnet 4.6

Sonnet 4.6 has 200K vs Mistral Large at 128K.

Choose Mistral Large when:

  • EU compliance and data residency requirements
  • Multilingual production workloads
  • Cost-sensitive mid-tier deployments
  • On-prem or open-weight deployment paths
View Mistral Large details

Choose Claude Sonnet 4.6 when:

  • English benchmark leadership matters most
  • Coding and SWE-bench-shaped agent workloads
  • Anthropic ecosystem (MCP, Claude Code) is already in use
  • Long-context analysis up to 200K tokens
View Claude Sonnet 4.6 details

Frequently Asked Questions

Which is better, Mistral Large or Claude Sonnet 4.6?

It depends on your use case. Mistral Large from Mistral excels at eu compliance and data residency requirements, while Claude Sonnet 4.6 from Anthropic is better for english benchmark leadership matters most. See the full comparison above for detailed benchmarks and pricing.

How much does Mistral Large cost compared to Claude Sonnet 4.6?

Mistral Large costs $2.00 input and $6.00 output per 1M tokens. Claude Sonnet 4.6 costs $3.00 input and $15.00 output per 1M tokens.

What is the context window difference between Mistral Large and Claude Sonnet 4.6?

Mistral Large supports 128K tokens, while Claude Sonnet 4.6 supports 200K tokens.

More Comparisons

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