Kimi K2.7 Code vs Qwen3.6 Plus
Updated October 21, 2026. 34 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Kimi K2.7 Code and Qwen3.6 Plus are level for coding, 39.1 against 37.4 on the Vibe Coding Index, so price and context decide.
Pick Qwen3.6 Plus when output tokens cost 1.7x less, or when the context window is larger, 1M against 262K tokens. Pick Kimi K2.7 Code when a solved task costs $0.35 against $1.19, or when what matters is LMArena WebDev or AA Coding Index, where it leads.
- Shared results
- 34
- Kimi K2.7 Code only
- 17
- Qwen3.6 Plus only
- 49
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, four public coding benchmarks
No call
Level: 39.1 against 37.4, inside 2 points.
One benchmark behind each score
Intelligence
AA Intelligence Index
Qwen3.6 Plus
Qwen3.6 Plus leads, 27.0 against 25.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Kimi K2.7 Code has a AA Agentic Index result, 21.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Qwen3.6 Plus has a GPQA Diamond result, 87.4%.
Directional only
Math
AIME
No call
Only Qwen3.6 Plus has a AIME result, 94.6%.
Directional only
Knowledge
MMLU Pro
No call
Only Qwen3.6 Plus has a MMLU Pro result, 87.7%.
Directional only
Web design
Design Arena: websites
Kimi K2.7 Code
Kimi K2.7 Code leads, 1264 against 1243.
Same board, both measured
Long documents
Listed context window
Qwen3.6 Plus
Qwen3.6 Plus takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.6 Plus
Kimi K2.7 Code $0.0023, Qwen3.6 Plus $0.0013 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K2.7 Code
Kimi K2.7 Code $0.35, Qwen3.6 Plus $1.19.
Published attempt cost and pass rate
At a glance
- Coding index
- Kimi K2.7 Code 39.1 from 1 benchmark, Qwen3.6 Plus 37.4 from 1 benchmark.
- Widest category
- Math, 9.0 points apart on average over 2 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Kimi K2.7 Code 47.2% against Qwen3.6 Plus 25.6%, 21.6 points apart on a 0 to 100 scale.
- Output price
- Kimi K2.7 Code $3.35 against Qwen3.6 Plus $1.95 per million output tokens, 1.7x apart.
- Context window
- Kimi K2.7 Code takes 262K tokens, Qwen3.6 Plus 1M.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Kimi K2.7 Code | Bars | Qwen3.6 Plus | Ties |
|---|---|---|---|---|
| Coding | 10 | 2 | 1 tie | |
| Intelligence | 1 | 1 | ||
| Agentic work | 0 | 2 | ||
| Reasoning | 2 | 1 | 1 tie | |
| Math | 2 | 0 | ||
| Knowledge | 0 | 1 | ||
| Web design | 7 | 1 | ||
| General | 1 | 1 | ||
| All shared boards | 23 | 9 | 2 ties |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index102
| Benchmark | Kimi K2.7 Code | Qwen3.6 Plus | Leader |
|---|---|---|---|
| LMArena WebDev | 1474 | 1461 | Kimi K2.7 Code |
| AA Coding Index | 60.8 | 54.5 | Kimi K2.7 Code |
| LiveCodeBench (Vals AI) | 82.0% | 86.0% | Qwen3.6 Plus |
| SWE-bench Verified (Vals AI) | 78.2% | 73.4% | Kimi K2.7 Code |
| Vibe Code Bench (Vals AI) | 47.2% | 25.6% | Kimi K2.7 Code |
| Code migration (Vals AI) | 25.4% | 11.1% | Kimi K2.7 Code |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| Terminal-Bench 2.1 (Vals AI) | 67.0% | 53.2% | Kimi K2.7 Code |
| SkillsBench (Vals AI) | 50.0% | Not measured | Only Kimi K2.7 Code measured |
| SciCode | 47.8% | Not measured | Only Kimi K2.7 Code measured |
| Terminal-Bench Hard (Artificial Analysis run) | 44.7% | 43.9% | Kimi K2.7 Code |
| FrontierCode | 30.1% | Not measured | Only Kimi K2.7 Code measured |
| WeirdML | 54.1% | Not measured | Only Kimi K2.7 Code measured |
| ALE-Bench | 886.2 | 670.1 | Kimi K2.7 Code |
| LMArena Text: coding | Not measured | 1467 | Only Qwen3.6 Plus measured |
| LMArena Text: software and IT | Not measured | 1462 | Only Qwen3.6 Plus measured |
| LMArena WebDev: React | 1475 | 1454 | Kimi K2.7 Code |
| LMArena WebDev: HTML | 1451 | 1463 | Qwen3.6 Plus |
| LMArena WebDev: from an image | 1513 | 1472 | Kimi K2.7 Code |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Kimi K2.7 Code | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 25.8 | 27.0 | Qwen3.6 Plus |
| Epoch Capabilities Index | 150.1 | 147.3 | Kimi K2.7 Code |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Kimi K2.7 Code | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AA Agentic Index | 21.0 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building web apps | 1176 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building full-stack apps | 1175 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building mobile apps | 1143 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building Android apps | 1143 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building Godot games | 1147 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building games | 1130 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: HTML slides | 1201 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: PowerPoint slides | 1154 | Not measured | Only Kimi K2.7 Code measured |
| Finance Agent (Vals AI) | Not measured | 40.9% | Only Qwen3.6 Plus measured |
| Tax Agent Bench (Vals AI) | Not measured | 7.7% | Only Qwen3.6 Plus measured |
| Legal Research Bench (Vals AI) | Not measured | 14.9% | Only Qwen3.6 Plus measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 32.9% | Only Qwen3.6 Plus measured |
| τ²-Bench Telecom | 90.1% | 97.7% | Qwen3.6 Plus |
| APEX-Agents | 37.6% | Not measured | Only Kimi K2.7 Code measured |
| Vending-Bench 2 | $5,083 | $5,115 | Qwen3.6 Plus |
| Neither model has a result on the other 23 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Kimi K2.7 Code | Qwen3.6 Plus | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 87.4% | Only Qwen3.6 Plus measured |
| MMMU Pro (Vals AI) | Not measured | 84.2% | Only Qwen3.6 Plus measured |
| GPQA Diamond (Artificial Analysis run) | 89.6% | 88.2% | Kimi K2.7 Code |
| Humanity's Last Exam (Artificial Analysis run) | 35.0% | 27.8% | Kimi K2.7 Code |
| GPQA Diamond (Epoch AI run) | 87.9% | 88.4% | Qwen3.6 Plus |
| SimpleBench | 57.9% | Not measured | Only Kimi K2.7 Code measured |
| Chess puzzles | 14.0% | 14.0% | Tie |
| Mystery game puzzles | Not measured | 12.0% | Only Qwen3.6 Plus measured |
| LMArena Text: hard prompts | Not measured | 1448 | Only Qwen3.6 Plus measured |
| LMArena Text: expert | Not measured | 1454 | Only Qwen3.6 Plus measured |
| LMArena Text: hard prompts in English | Not measured | 1455 | Only Qwen3.6 Plus measured |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K2.7 Code | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AIME | Not measured | 94.6% | Only Qwen3.6 Plus measured |
| OTIS Mock AIME | 95.6% | 93.3% | Kimi K2.7 Code |
| FrontierMath, tiers 1 to 3 | 54.0% | 38.2% | Kimi K2.7 Code |
| FrontierMath, tier 4 | 12.2% | Not measured | Only Kimi K2.7 Code measured |
| LMArena Text: math | Not measured | 1449 | Only Qwen3.6 Plus measured |
| LMArena Text: mathematical work | Not measured | 1448 | Only Qwen3.6 Plus measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Kimi K2.7 Code | Qwen3.6 Plus | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 87.7% | Only Qwen3.6 Plus measured |
| LegalBench (Vals AI) | Not measured | 84.2% | Only Qwen3.6 Plus measured |
| CaseLaw (Vals AI) | Not measured | 51.5% | Only Qwen3.6 Plus measured |
| CorpFin (Vals AI) | Not measured | 61.9% | Only Qwen3.6 Plus measured |
| TaxEval (Vals AI) | Not measured | 74.7% | Only Qwen3.6 Plus measured |
| MortgageTax (Vals AI) | Not measured | 68.0% | Only Qwen3.6 Plus measured |
| MedCode (Vals AI) | Not measured | 36.9% | Only Qwen3.6 Plus measured |
| SimpleQA Verified | 36.5% | 44.1% | Qwen3.6 Plus |
| LMArena Text: science | Not measured | 1439 | Only Qwen3.6 Plus measured |
| LMArena Text: medicine and healthcare | Not measured | 1442 | Only Qwen3.6 Plus measured |
| LMArena Text: legal and government | Not measured | 1437 | Only Qwen3.6 Plus measured |
| LMArena Text: business and finance | Not measured | 1430 | Only Qwen3.6 Plus measured |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | Kimi K2.7 Code | Qwen3.6 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | 1264 | 1243 | Kimi K2.7 Code |
| Design Arena: UI components | 1259 | 1233 | Kimi K2.7 Code |
| Design Arena: game dev | 1220 | 1211 | Kimi K2.7 Code |
| Design Arena: data viz | 1226 | 1228 | Qwen3.6 Plus |
| Design Arena: 3D | 1241 | 1202 | Kimi K2.7 Code |
| Design Arena: all code categories | 1253 | 1236 | Kimi K2.7 Code |
| Design Arena: SVG | 1176 | 1160 | Kimi K2.7 Code |
| Design Arena: ASCII art | 1196 | 1115 | Kimi K2.7 Code |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Kimi K2.7 Code | Qwen3.6 Plus | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 44.9% | Only Qwen3.6 Plus measured |
| MedScribe (Vals AI) | Not measured | 77.0% | Only Qwen3.6 Plus measured |
| Vals Multimodal Index | Not measured | 51.5% | Only Qwen3.6 Plus measured |
| IFBench | 63.1% | 75.2% | Qwen3.6 Plus |
| Long context reasoning (AA-LCR) | 79.3% | 78.3% | Kimi K2.7 Code |
| DTBench | Not measured | 81.9% | Only Qwen3.6 Plus measured |
| LMCA | Not measured | 33.1% | Only Qwen3.6 Plus measured |
| CL-bench | Not measured | 20.3% | Only Qwen3.6 Plus measured |
| Surface Evolver Bench | 48.8% | Not measured | Only Kimi K2.7 Code measured |
| LMArena Text | Not measured | 1436 | Only Qwen3.6 Plus measured |
| LMArena Text: instruction following | Not measured | 1424 | Only Qwen3.6 Plus measured |
| LMArena Text: creative writing | Not measured | 1404 | Only Qwen3.6 Plus measured |
| LMArena Text: English | Not measured | 1445 | Only Qwen3.6 Plus measured |
| LMArena Text: non-English | Not measured | 1424 | Only Qwen3.6 Plus measured |
| LMArena Text: Chinese | Not measured | 1477 | Only Qwen3.6 Plus measured |
| LMArena Text: German | Not measured | 1451 | Only Qwen3.6 Plus measured |
| LMArena Text: Japanese | Not measured | 1390 | Only Qwen3.6 Plus measured |
| LMArena Text: Korean | Not measured | 1379 | Only Qwen3.6 Plus measured |
| LMArena Text: French | Not measured | 1455 | Only Qwen3.6 Plus measured |
| LMArena Text: Spanish | Not measured | 1432 | Only Qwen3.6 Plus measured |
| LMArena Text: Russian | Not measured | 1434 | Only Qwen3.6 Plus measured |
| LMArena Text: Polish | Not measured | 1433 | Only Qwen3.6 Plus measured |
| LMArena Text: multi-turn | Not measured | 1438 | Only Qwen3.6 Plus measured |
| LMArena Text: longer queries | Not measured | 1439 | Only Qwen3.6 Plus measured |
| LMArena Text: writing and language | Not measured | 1418 | Only Qwen3.6 Plus measured |
| LMArena Text: entertainment and media | Not measured | 1402 | Only Qwen3.6 Plus measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K2.7 Code | Qwen3.6 Plus | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Qwen3.6 Plus costs less
Repository review
50K input + 3K output tokens
Qwen3.6 Plus costs less
Agent loop
200K input + 10K output tokens
Qwen3.6 Plus costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | MoonshotAI Kimi K2.7 Code | Qwen3.6 Plus |
|---|---|---|
| Maker | Moonshot AI | Qwen |
| Weights | Open weights | No public weights listed |
| Released | June 12, 2026 | April 2, 2026 |
| Context window | 262K | 1M |
| Input $/Mtok | $0.6712 | $0.325 |
| Output $/Mtok | $3.35 | $1.95 |
| Coding index | 39.1 | 37.4 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $0.35 | $1.19 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K2.7 Code better than Qwen3.6 Plus for coding?
Kimi K2.7 Code and Qwen3.6 Plus are level for coding, 39.1 against 37.4 on the Vibe Coding Index, so price and context decide. Pick Qwen3.6 Plus when output tokens cost 1.7x less, or when the context window is larger, 1M against 262K tokens. Pick Kimi K2.7 Code when a solved task costs $0.35 against $1.19, or when what matters is LMArena WebDev or AA Coding Index, where it leads.
Which is cheaper, Kimi K2.7 Code or Qwen3.6 Plus?
Kimi K2.7 Code costs $0.6712 per million input tokens and $3.35 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Per solved SWE-bench Verified task, Kimi K2.7 Code costs $0.35 and Qwen3.6 Plus $1.19.
Which has the bigger context window, Kimi K2.7 Code or Qwen3.6 Plus?
Qwen3.6 Plus, with 1M tokens against 262K.
How many benchmarks is the Kimi K2.7 Code vs Qwen3.6 Plus comparison based on?
34 benchmarks have a result for both models as of October 21, 2026. Kimi K2.7 Code's coding index rests on 1 independent benchmark and Qwen3.6 Plus's on 1. Where only one model has a result, the page says so instead of naming a winner.