Claude Opus 4.7 vs Mistral Large 3 for debugging: which is better in 2026?

A head-to-head look at Claude Opus 4.7 and Mistral Large 3 for debugging. Benchmarks via artificialanalysis.ai, pricing as of May 2026. Compare AI models like these inside Admix.

Quick verdict

For debugging in May 2026, Claude Opus 4.7 edges out Mistral Large 3 on the codingIndex metric. Excellent at root-cause analysis across multi-file repos.

Side-by-side specs

Spec	Claude	Mistral
Intelligence index	76.9	69.8
Coding index	82.3	67.4
Context window	1M tokens	256K tokens
Speed (tok/s)	88	115
Input $/M	$15.00	$2.00
Output $/M	$75.00	$6.00
Released	Apr 23, 2026	Jan 14, 2026

How they handle debugging

Claude Opus 4.7: Excellent at root-cause analysis across multi-file repos.

Mistral Large 3: EU data residency options. The main caveat is behind us labs on raw benchmarks.

Cost per 1,000 queries

Assuming 1,500 input and 800 output tokens per query:

Claude Opus 4.7: $82.50 per 1,000 queries
Mistral Large 3: $7.80 per 1,000 queries

Verdict by sub-task

Best raw quality on debugging:
Best price: Mistral Large 3
Longest context: Claude Opus 4.7
Fastest: Mistral Large 3

FAQ

Is Claude Opus 4.7 better than Mistral Large 3 for debugging?

On May 2026 benchmarks (artificialanalysis.ai), Claude Opus 4.7 ranks higher than Mistral Large 3 for debugging on the codingIndex metric. The gap is small enough that the choice often comes down to price, context length, and tone.

Which is cheaper, Claude Opus 4.7 or Mistral Large 3?

Claude Opus 4.7 costs $15.00 input and $75.00 output per million tokens. Mistral Large 3 costs $2.00 input and $6.00 output per million tokens.

Can I use both Claude and Mistral in one app?

Yes. Admix is a multi model AI chat aggregator that lets you run Claude Opus 4.7 and Mistral Large 3 side by side under one subscription.

Sources

Benchmarks from artificialanalysis.ai (May 2026).

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