Claude Opus 4.7 vs Kimi K2 for debugging: which is better in 2026?
A head-to-head look at Claude Opus 4.7 and Kimi K2 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 Kimi K2 on the codingIndex metric. Excellent at root-cause analysis across multi-file repos.
Side-by-side specs
| Spec | Claude | Kimi |
|---|---|---|
| Intelligence index | 76.9 | 70.4 |
| Coding index | 82.3 | 68.9 |
| Context window | 1M tokens | 2M tokens |
| Speed (tok/s) | 88 | 110 |
| Input $/M | $15.00 | $0.60 |
| Output $/M | $75.00 | $2.50 |
| Released | Apr 23, 2026 | Dec 11, 2025 |
How they handle debugging
Claude Opus 4.7: Excellent at root-cause analysis across multi-file repos.
Kimi K2: Huge context window at low price. The main caveat is coding lags western frontier models.
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
- Kimi K2: $2.90 per 1,000 queries
Verdict by sub-task
- Best raw quality on debugging:
- Best price: Kimi K2
- Longest context: Kimi K2
- Fastest: Kimi K2
FAQ
Is Claude Opus 4.7 better than Kimi K2 for debugging?
On May 2026 benchmarks (artificialanalysis.ai), Claude Opus 4.7 ranks higher than Kimi K2 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 Kimi K2?
Claude Opus 4.7 costs $15.00 input and $75.00 output per million tokens. Kimi K2 costs $0.60 input and $2.50 output per million tokens.
Can I use both Claude and Kimi in one app?
Yes. Admix is a multi model AI chat aggregator that lets you run Claude Opus 4.7 and Kimi K2 side by side under one subscription.
Sources
Benchmarks from artificialanalysis.ai (May 2026).
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