Claude Opus 4.7 wins on coding (96 vs 72) and writing quality and context window (1M vs 128K). Mistral Large 2 wins on price ($3 vs $5/1M input). For most workflows, Claude Opus 4.7 is the stronger default — previous opus flagship, now superseded by claude opus 4.8 at the same price.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
Claude Opus 4.7 is the safest overall answer here when you want the strongest default instead of the lowest list price.
Grok 4 is the lower-cost option to start with when you still need useful output at scale.
Mistral Large 2 is the better pick when response speed matters more than maximum reasoning depth.
Claude Opus 4.7 leads on coding with a score of 96 vs 72 for Mistral Large 2.
Claude Opus 4.7 has the larger context window: 1M vs 128K for Mistral Large 2.
Mistral Large 2 is cheaper at $3/1M input tokens vs $5/1M for Claude Opus 4.7.
Choose Claude Opus 4.7 for coding and research — highest-ceiling coding.
Choose Mistral Large 2 when balanced team usage with eu data residency requirements.
Mistral Large 2 is the more cost-efficient option at $3/1M — worth considering if token volume is a concern.
Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.
Anthropic / Premium / May 27, 2026
Previous Opus flagship, now superseded by Claude Opus 4.8 at the same price.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You are starting a new integration — Opus 4.8 is strictly better at the same price.
The fastest way to see where the recommendation shifts when your priority changes.
Previous Opus flagship, now superseded by Claude Opus 4.8 at the same price.
Best balanced generalist for EU teams with data residency needs.
64.3% SWE-Bench Pro — still strong, second only to Opus 4.8
1M context window for large codebases and document-heavy workflows
Strong vision accuracy at 98.5% on Vision Bench
Opus 4.8 launched at the same $5/$25 price with 69.2% SWE-Bench Pro and parallel subagents
No reason to prefer Opus 4.7 for new integrations — use Opus 4.8 instead
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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Claude Opus 4.7 wins on more categories — coding, research, long context. Mistral Large 2 is the better pick when balanced team usage with eu data residency requirements. The right choice depends on your specific use case.
Mistral Large 2 is cheaper at $3/1M input and $9/1M output. Claude Opus 4.7 costs $5/1M input and $25/1M output.
Claude Opus 4.7 has the larger context window at 1M tokens vs Mistral Large 2's 128K. For large document analysis, Claude Opus 4.7 is the stronger pick.
Claude Opus 4.7 is better for coding with a score of 96 vs Mistral Large 2's 72. For the highest coding quality available, Claude Sonnet 4.6 (79.6% SWE-bench) or Opus 4.6 (80.8%) remain benchmarks.
Mistral Large 2 is faster with a balanced speed rating (score: 3) vs Claude Opus 4.7's deliberate rating (score: 2).
