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Anthropic Claude Opus 4.6 VS MoonshotAI Kimi K2.6

Claude Opus 4.6 vs Kimi K2.6: which wins at real work?

22 task areas · same graded test runs · rank comparison only, so 0–100 and Elo collections never mix raw scores.

Kimi K2.6 wins 13 of 22 task areas we tested; Claude Opus 4.6 takes 9. Kimi K2.6 costs 7.4× less per token ($4.07 vs $30 per 1M).

9
Task areas won
13
74
Avg percentile
86
2
Top-3 finishes
3
$30.0
Price / 1M tokens
$4.07
Anthropic
Provider
MoonshotAI

Kimi K2.6 costs 7.4× less per token ($4.07 vs $30 per 1M).

Task by task

Task area Claude Opus 4.6 Kimi K2.6 Winner
Structured Output #98 / 113
Strong
#14 / 113
Excellent
Kimi K2.6
Customer Support #81 / 113
Usable
#4 / 113
Strong
Kimi K2.6
Presentations & Decks #54 / 110
Excellent
#2 / 110
Excellent
Kimi K2.6
Knowledge & Docs #66 / 110
Usable
#22 / 110
Strong
Kimi K2.6
Training & Education #1 / 110
Excellent
#45 / 110
Excellent
Claude Opus 4.6
Frontend & Landing Pages #51 / 109
Needs editing
#8 / 109
Usable
Kimi K2.6
RAG, Safety & Grounding #59 / 113
Excellent
#18 / 113
Excellent
Kimi K2.6
Summarization & Meeting Notes #34 / 110
Excellent
#3 / 110
Excellent
Kimi K2.6
Translation & Localization #2 / 110
Excellent
#22 / 110
Excellent
Claude Opus 4.6
AI Strategy #5 / 126
Strong
#19 / 126
Strong
Claude Opus 4.6
Legal & HR #8 / 110
Excellent
#22 / 110
Excellent
Claude Opus 4.6
Coding #18 / 115
Excellent
#5 / 115
Excellent
Kimi K2.6
Data & Analytics #10 / 110
Excellent
#23 / 110
Excellent
Claude Opus 4.6
Sales #4 / 110
Strong
#15 / 110
Strong
Claude Opus 4.6
Executive Assistant #18 / 112
Strong
#8 / 112
Strong
Kimi K2.6
Research & Competitive Analysis #29 / 110
Strong
#19 / 110
Excellent
Kimi K2.6
Content & Brand #14 / 124
Strong
#22 / 124
Strong
Claude Opus 4.6
Product & Project Management #45 / 110
Strong
#53 / 110
Strong
Claude Opus 4.6
Investor & Pitch #8 / 66
Strong
#1 / 66
Strong
Kimi K2.6
Chef / Home Cooking #12 / 126
Strong
#7 / 126
Strong
Kimi K2.6
Landing Pages #23 / 72
Strong
#21 / 72
Strong
Kimi K2.6
Creative & Comedy #10 / 110 #11 / 110 Claude Opus 4.6

Rank = position among every model config we tested in that task area (lower is better). Sorted by biggest gap first.

Same task, both models — judged

Both models answered the same test case; an independent judge graded each. Quotes are the judge's actual rationale.

Knowledge & Docs

Help article: filter the review queue (Ferrovia) (Help-Center Article)
Claude Opus 4.6 42/100

“The model successfully structures the article and answers the main task using the provided facts. However, in the troubleshooting section, it invents a 'connection status' and error states on the Integrations page, which are not in the provided facts. Per the gating rules, any fabricated UI or behavior sets grounding to 2/10 and caps the overall score.”

Kimi K2.6 100/100

“The model perfectly adheres to the provided facts, inventing absolutely no UI elements, behaviors, or settings. It answers the user's question directly with a clear, scannable, and task-focused procedure. The troubleshooting section cleverly uses the remaining facts about ERP connections without confabulating new features.”

Frequently asked

Is Claude Opus 4.6 better than Kimi K2.6?

Across 22 task areas we benchmarked, Kimi K2.6 ranks higher in 13 and Claude Opus 4.6 in 9.

Which is cheaper, Claude Opus 4.6 or Kimi K2.6?

Kimi K2.6 costs 7.4× less per token ($4.07 vs $30 per 1M).

What is Claude Opus 4.6 better at?

Claude Opus 4.6 out-ranks Kimi K2.6 at Training & Education, Translation & Localization, AI Strategy.

What is Kimi K2.6 better at?

Kimi K2.6 out-ranks Claude Opus 4.6 at Structured Output, Customer Support, Presentations & Decks.

Full Claude Opus 4.6 review → Full Kimi K2.6 review → Full model leaderboard →

More comparisons

This page is Spring Prompt, running in public

We just did this for every model. Do it for your prompt.

The rankings above come from running real tasks through real models and scoring every output. Spring Prompt is that same engine — pointed at your prompt, your test cases, and your definition of good.

  • Generate test cases from your prompt — no eval set required to start.
  • Compare models side by side with quality, cost and latency in one matrix.
  • Optimise the winner until the scores say it's ready to ship.
Experiment · Cold outreach email

Prompt × model results

12 test cases · 3 evals
Claude Opus
GPT-5
Gemini
v1
7.1
6.8
7.4
v2
8.3
7.9
8.0
v3
9.2
8.6
8.4
Best combo: v3 × Claude Opus
9.2 quality · $0.004/run · 1.8s