Confirm Action

Are you sure you want to proceed?

Anthropic Claude Opus 4.5 VS MoonshotAI Kimi K2.6

Claude Opus 4.5 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.

Claude Opus 4.5 wins 12 of 22 task areas we tested; Kimi K2.6 takes 10. Kimi K2.6 costs 7.4× less per token ($4.07 vs $30 per 1M).

12
Task areas won
10
78
Avg percentile
86
3
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 4.5 Kimi K2.6 Winner
Structured Output #82 / 113
Strong
#14 / 113
Excellent
Kimi K2.6
Customer Support #56 / 113
Strong
#4 / 113
Strong
Kimi K2.6
Presentations & Decks #45 / 110
Excellent
#2 / 110
Excellent
Kimi K2.6
Coding #39 / 115
Strong
#5 / 115
Excellent
Kimi K2.6
RAG, Safety & Grounding #52 / 113
Excellent
#18 / 113
Excellent
Kimi K2.6
Knowledge & Docs #47 / 110
Strong
#22 / 110
Strong
Kimi K2.6
Training & Education #24 / 110
Excellent
#45 / 110
Excellent
Claude Opus 4.5
Translation & Localization #5 / 110
Excellent
#22 / 110
Excellent
Claude Opus 4.5
Data & Analytics #9 / 110
Excellent
#23 / 110
Excellent
Claude Opus 4.5
Landing Pages #7 / 72
Strong
#21 / 72
Strong
Claude Opus 4.5
Sales #3 / 110
Strong
#15 / 110
Strong
Claude Opus 4.5
Investor & Pitch #10 / 66
Strong
#1 / 66
Strong
Kimi K2.6
Legal & HR #30 / 110
Excellent
#22 / 110
Excellent
Kimi K2.6
Chef / Home Cooking #14 / 126
Strong
#7 / 126
Strong
Kimi K2.6
Product & Project Management #60 / 110
Strong
#53 / 110
Strong
Kimi K2.6
Frontend & Landing Pages #2 / 109
Usable
#8 / 109
Usable
Claude Opus 4.5
Executive Assistant #4 / 112
Strong
#8 / 112
Strong
Claude Opus 4.5
AI Strategy #16 / 126
Strong
#19 / 126
Strong
Claude Opus 4.5
Creative & Comedy #8 / 110 #11 / 110 Claude Opus 4.5
Research & Competitive Analysis #17 / 110
Excellent
#19 / 110
Excellent
Claude Opus 4.5
Summarization & Meeting Notes #1 / 110
Excellent
#3 / 110
Excellent
Claude Opus 4.5
Content & Brand #21 / 124
Strong
#22 / 124
Strong
Claude Opus 4.5

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.

Coding

Off-by-one in a slice helper (Bug Fixing)
Claude Opus 4.5 0/100

“The judge response was malformed and contained no extractable scores.”

Kimi K2.6 100/100

“The model perfectly matches the 'strong answer' criteria outlined in the prompt. It provides the exact expected code fix, accurately explains the root cause regarding Python's exclusive slicing bounds, and maintains the original function signature with minimal changes. (Note: While `items[len(items)-n:]` actually fails for `n > len(items)` by returning `items[-negative_num:]`, it is explicitly listed as the 'Correct fix' in the prompt's rubric, so the model is awarded full points for correctness).”

Fix off-by-one Python bug (Bug Fixing)
Claude Opus 4.5 0/100

“The response misses the negative index edge case where end equals -1 and breaks compatibility with end=None.”

Kimi K2.6 100/100

“The model provides a correct, minimal, and secure fix for the off-by-one error. It correctly explains the reasoning and addresses the out-of-bounds edge case without introducing unnecessary complexity.”

Frequently asked

Is Claude Opus 4.5 better than Kimi K2.6?

Across 22 task areas we benchmarked, Claude Opus 4.5 ranks higher in 12 and Kimi K2.6 in 10.

Which is cheaper, Claude Opus 4.5 or Kimi K2.6?

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

What is Claude Opus 4.5 better at?

Claude Opus 4.5 out-ranks Kimi K2.6 at Training & Education, Translation & Localization, Data & Analytics.

What is Kimi K2.6 better at?

Kimi K2.6 out-ranks Claude Opus 4.5 at Structured Output, Customer Support, Presentations & Decks.

Full Claude Opus 4.5 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