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 For most workflows, Claude Opus 4.7 is the stronger default — previous opus flagship, now superseded by claude opus 4.8 at the same price.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 safest Claude Opus 4.7 vs Mistral Large 2 default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
Claude Opus 4.7 is the strongest answer here for Claude Opus 4.7 vs Mistral Large 2 — pick it when quality of output matters more than the $5.00/1M/1M input you pay for it.
Mistral Large 2 handles the same job for about 60% less per token. Start here and only move up if the output is not good enough.
Mistral Large 2 is the fastest of these for Claude Opus 4.7 vs Mistral Large 2 — worth it when latency is what the reader notices, not the last few points of 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 highest-ceiling coding, agentic workflows, and deep research. Its coding and research scores are what carry the recommendation here.
Choose Mistral Large 2 when your work is mostly balanced team usage with EU data residency requirements — that is the workload it was tuned for.
Mistral Large 2 is the more cost-efficient option at $3/1M input — Claude Opus 4.7 costs 2x more per input token, so the gap is worth taking seriously wherever token volume rather than peak quality drives the bill.
Switch the scoring lens to see whether the Claude Opus 4.7 vs Mistral Large 2 answer changes when cost, speed, or long-document depth leads the decision.
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Previous Opus flagship, now superseded by Claude Opus 4.8 at the same price.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 need cheaper high-volume throughput, image generation, or a workflow that must stay inside OpenAI tooling.
Where the Claude Opus 4.7 vs Mistral Large 2 recommendation shifts once you weigh price or latency differently.
Previous Opus flagship, now superseded by Claude Opus 4.8 at the same price.
Best balanced generalist for EU teams with data residency needs.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| Claude Opus 4.7Anthropic | $5.00/1M | $25.00/1M | $100 | 1M tokens | Deliberate | 96 | 93 | 95 |
| Mistral Large 2Mistral | $3.00/1M | $9.00/1M | $48 | 128k tokens | Balanced | 72 | 72 | 71 |
Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.
Why each one is on the shortlist for Claude Opus 4.7 vs Mistral Large 2, what it is genuinely good at, and where we would steer you away from it.
Our pick for Claude Opus 4.7 vs Mistral Large 2. It scores 96/100 on the coding axis we weight this page by, and nothing else in this shortlist matches it on output quality.
Anthropic's previous Opus flagship, now superseded by Opus 4.8. Still the second-best coding model publicly available at the same $5/$25 price.
You need cheaper high-volume throughput, image generation, or a workflow that must stay inside OpenAI tooling.
Superseded by Opus 4.8 (May 27, 2026) which scores 69.2% SWE-Bench Pro vs 64.3% here — at the same price. For existing pinned integrations Opus 4.7 still works well, but new deployments should use Opus 4.8.
Full pricing, benchmark table and release notes on the Claude Opus 4.7 page.
The cost-conscious pick for Claude Opus 4.7 vs Mistral Large 2, about 60% less per token than Claude Opus 4.7 than the top choice while holding 72/100 on coding.
Balanced enterprise model with consistent reasoning, good speed, and a dependable middle-ground — especially for European teams with data residency requirements.
You want best-in-class performance for any specific use case — the frontier leaders win.
A dependable generalist — especially relevant for EU teams that need data processed inside Europe.
Full pricing, benchmark table and release notes on the Mistral Large 2 page.
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 of the categories we score — coding, research, long context — so it is the better default of the two. Mistral Large 2 is the better pick when your work is mostly balanced team usage with EU data residency requirements. Neither is universally "better": Claude Opus 4.7 is aimed at highest-ceiling coding and agentic workflows, Mistral Large 2 at balanced team usage with EU data residency requirements.
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 (out of 100). GPT-6 Astra is the overall coding leader in this directory at 100/100.
Mistral Large 2 is faster with a balanced speed rating (score: 3) vs Claude Opus 4.7's deliberate rating (score: 2). Speed matters most for interactive and high-throughput work; for batch jobs the Claude Opus 4.7 latency penalty is usually invisible.
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. Avoid it if you are starting a new integration — Opus 4.8 is strictly better at the same price. That is the main case for looking at Mistral Large 2 instead.
Not the best in any single benchmark category. Less community momentum than OpenAI, Anthropic, or Google. Avoid it if you want best-in-class performance for any specific use case — the frontier leaders win. Against Claude Opus 4.7 specifically, the gap shows up most on coding (96 vs 72).
Take a moderate workload of 10M input and 2M output tokens a month. Claude Opus 4.7 runs $100.00 (at $5/1M in and $25/1M out); Mistral Large 2 runs $48.00 (at $3/1M in and $9/1M out). That is a $52.00/month difference — Mistral Large 2 is the cheaper of the two at this volume, and the gap scales linearly as you send more. Output tokens dominate the bill on both, so prompt length matters far less than response length.
Yes, and for most teams that beats picking one. A common split is Claude Opus 4.7 for highest-ceiling coding and agentic workflows, with Mistral Large 2 handling balanced team usage with EU data residency requirements. Routing high-volume, low-stakes calls to Mistral Large 2 at $3/1M and reserving Claude Opus 4.7 for the hard cases is usually the cheapest arrangement that does not cost you quality.