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Anthropic

Claude Opus 4.8

VS
Moonshot AI (Kimi)

kimi-k2.6

✍️ 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-k2.6 is 5.8x cheaper to run and delivers 4.0x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, kimi-k2.6 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 (+3.1%)
93.6%

Cost & Performance

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

kimi-k2.6

Benchmarks & Scores

Coding (swe-bench-pro)
58.6%
Reasoning (gpqa-diamond)
90.5%

Cost & Performance

Cost (per 1M tokens)5.8x cheaper
$1.71Input: $0.95 | Output: $4.00
Speed4.0x faster
193 tps
Context Window
262.14k tokens
Read our data collection methodology

Frequently Asked Questions

kimi-k2.6 is cheaper than Claude Opus 4.8. kimi-k2.6 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.

kimi-k2.6 is faster than Claude Opus 4.8. kimi-k2.6 generates 193 tokens per second (tps) compared to Claude Opus 4.8 which generates 48.1 tokens per second.

Claude Opus 4.8 is better for coding tasks. It scores 69.2% on coding evaluations (swe-bench-pro) compared to kimi-k2.6 which scores 58.6%.

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