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MoonshotAI Kimi K2.6 VS Qwen Qwen3.7 Max

Kimi K2.6 vs Qwen3.7 Max: 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 12 of 22 task areas we tested; Qwen3.7 Max takes 10. Kimi K2.6 costs 1.2× less per token ($4.07 vs $5 per 1M).

12
Task areas won
10
86
Avg percentile
84
3
Top-3 finishes
3
$4.07
Price / 1M tokens
$5.0
MoonshotAI
Provider
Qwen

Kimi K2.6 costs 1.2× less per token ($4.07 vs $5 per 1M).

Task by task

Task area Kimi K2.6 Qwen3.7 Max Winner
Product & Project Management #53 / 110
Strong
#7 / 110
Excellent
Qwen3.7 Max
Chef / Home Cooking #7 / 126
Strong
#47 / 126
Usable
Kimi K2.6
Research & Competitive Analysis #19 / 110
Excellent
#58 / 110
Usable
Kimi K2.6
Training & Education #45 / 110
Excellent
#13 / 110
Excellent
Qwen3.7 Max
Legal & HR #22 / 110
Excellent
#46 / 110
Excellent
Kimi K2.6
Translation & Localization #22 / 110
Excellent
#1 / 110
Excellent
Qwen3.7 Max
Investor & Pitch #1 / 66
Strong
#19 / 66
Strong
Kimi K2.6
AI Strategy #19 / 126
Strong
#36 / 126
Strong
Kimi K2.6
RAG, Safety & Grounding #18 / 113
Excellent
#1 / 113
Excellent
Qwen3.7 Max
Coding #5 / 115
Excellent
#19 / 115
Excellent
Kimi K2.6
Content & Brand #22 / 124
Strong
#10 / 124
Strong
Qwen3.7 Max
Knowledge & Docs #22 / 110
Strong
#34 / 110
Strong
Kimi K2.6
Structured Output #14 / 113
Excellent
#2 / 113
Excellent
Qwen3.7 Max
Landing Pages #21 / 72
Strong
#10 / 72
Strong
Qwen3.7 Max
Sales #15 / 110
Strong
#24 / 110
Strong
Kimi K2.6
Summarization & Meeting Notes #3 / 110
Excellent
#12 / 110
Excellent
Kimi K2.6
Data & Analytics #23 / 110
Excellent
#15 / 110
Excellent
Qwen3.7 Max
Customer Support #4 / 113
Strong
#11 / 113
Strong
Kimi K2.6
Presentations & Decks #2 / 110
Excellent
#9 / 110
Excellent
Kimi K2.6
Frontend & Landing Pages #8 / 109
Usable
#14 / 109
Needs editing
Kimi K2.6
Creative & Comedy #11 / 110 #9 / 110 Qwen3.7 Max
Executive Assistant #8 / 112
Strong
#7 / 112
Strong
Qwen3.7 Max

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.

Research & Competitive Analysis

Fair teardown vs incumbent (Northwind) (Competitive Teardown)
Kimi K2.6 100/100

“The model perfectly adheres to the strict constraints of the prompt. Given that no specific source texts were provided, it correctly abstains from inventing facts about Northwind, explicitly marking them as unavailable. It rigorously separates fact from inference using a symmetric table structure, credits the generic incumbent's genuine strengths (workflow embeddedness, zero procurement friction), and avoids fabricating any competitor metrics like pricing or churn. The synthesis is highly actionable and well-calibrated.”

Qwen3.7 Max 10/100

“The model completely failed to abstain and fabricated factual claims about the company without any source material, resulting in severe grounding violations.”

Frequently asked

Is Kimi K2.6 better than Qwen3.7 Max?

Across 22 task areas we benchmarked, Kimi K2.6 ranks higher in 12 and Qwen3.7 Max in 10.

Which is cheaper, Kimi K2.6 or Qwen3.7 Max?

Kimi K2.6 costs 1.2× less per token ($4.07 vs $5 per 1M).

What is Kimi K2.6 better at?

Kimi K2.6 out-ranks Qwen3.7 Max at Chef / Home Cooking, Research & Competitive Analysis, Legal & HR.

What is Qwen3.7 Max better at?

Qwen3.7 Max out-ranks Kimi K2.6 at Product & Project Management, Training & Education, Translation & Localization.

Full Kimi K2.6 review → Full Qwen3.7 Max 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