Claude Opus 4.7 vs Llama 4 405B for debugging: which is better in 2026?

A head-to-head look at Claude Opus 4.7 and Llama 4 405B 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 Llama 4 405B on the codingIndex metric. Excellent at root-cause analysis across multi-file repos.

Side-by-side specs

Spec	Claude	Llama
Intelligence index	76.9	71.5
Coding index	82.3	69.0
Context window	1M tokens	256K tokens
Speed (tok/s)	88	95
Input $/M	$15.00	$0.90
Output $/M	$75.00	$2.70
Released	Apr 23, 2026	Nov 5, 2025

How they handle debugging

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

Llama 4 405B: Best fully open-weights model. The main caveat is trails closed flagships on coding.

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
Llama 4 405B: $3.51 per 1,000 queries

Verdict by sub-task

Best raw quality on debugging:
Best price: Llama 4 405B
Longest context: Claude Opus 4.7
Fastest: Llama 4 405B

FAQ

Is Claude Opus 4.7 better than Llama 4 405B for debugging?

On May 2026 benchmarks (artificialanalysis.ai), Claude Opus 4.7 ranks higher than Llama 4 405B 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 Llama 4 405B?

Claude Opus 4.7 costs $15.00 input and $75.00 output per million tokens. Llama 4 405B costs $0.90 input and $2.70 output per million tokens.

Can I use both Claude and Llama in one app?

Yes. Admix is a multi model AI chat aggregator that lets you run Claude Opus 4.7 and Llama 4 405B side by side under one subscription.

Sources

Benchmarks from artificialanalysis.ai (May 2026).

Try both Claude and Llama in Admix

One subscription, side-by-side answers, no API plumbing. From $8.99/mo.

Try Admix free