whichllmmodel
Back to Dashboard
Anthropic

Claude Opus 4.8

VS
Moonshot AI (Kimi)

Kimi K2.7 Code

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Claude Opus 4.8 is the premium intelligence choice, scoring 10.6% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Kimi K2.7 Code is 5.8x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Kimi K2.7 Code offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Claude Opus 4.8 fully justifies the cost.

Model Specs

Claude Opus 4.8

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+10.6%)
69.2%
Reasoning (gpqa-diamond)Winner (+)
93.6%

Cost & Performance

Cost (per 1M tokens)
$10.00Input: $5.00 | Output: $25.00
Context WindowLarger
1M tokens
Model Specs

Kimi K2.7 Code

Benchmarks & Scores

Coding (swe-bench-pro)
58.6%
Reasoning (gpqa-diamond)
N/A

Cost & Performance

Cost (per 1M tokens)5.8x cheaper
$1.71Input: $0.95 | Output: $4.00
Context Window
262.14k tokens

Frequently Asked Questions

Kimi K2.7 Code is cheaper than Claude Opus 4.8. Kimi K2.7 Code has a blended cost of $1.71/1M tokens, which is about 5.8x cheaper than Claude Opus 4.8 at $10.00/1M tokens.

Claude Opus 4.8 is better for coding tasks. It scores 69.2% on coding evaluations (swe-bench-pro) compared to Kimi K2.7 Code which scores 58.6%.

Want to customize weights or add more models?

Open our interactive dashboard where you can adjust your priority levels for speed, budget, or accuracy slider-bars and watch model rankings calculate dynamically.

Customize in Interactive Dashboard