Kimi K2.6 vs Qwen3.7 Max
Updated October 21, 2026. 58 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Kimi K2.6 and Qwen3.7 Max are level for coding, 44.2 against 45.1 on the Vibe Coding Index, so price and context decide.
Pick Kimi K2.6 when output tokens cost 1.3x less, or when a solved task costs $0.35 against $4.69. Pick Qwen3.7 Max when the context window is larger, 1M against 262K tokens, or when what matters is LMArena WebDev or AA Coding Index, where it leads.
- Shared results
- 58
- Kimi K2.6 only
- 51
- Qwen3.7 Max only
- 1
- 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: 44.2 against 45.1, inside 2 points.
One benchmark behind each score
Intelligence
AA Intelligence Index
Qwen3.7 Max
Qwen3.7 Max leads, 29.5 against 27.0.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.7 Max
Qwen3.7 Max leads, 22.5 against 20.5.
Same board, both measured
Reasoning
GPQA Diamond
Qwen3.7 Max
Qwen3.7 Max leads, 90.2% against 89.1%.
Same board, both measured
Knowledge
MMLU Pro
Qwen3.7 Max
Qwen3.7 Max leads, 89.3% against 87.6%.
Same board, both measured
Web design
Design Arena: websites
Qwen3.7 Max
Qwen3.7 Max leads, 1274 against 1269.
Same board, both measured
Long documents
Listed context window
Qwen3.7 Max
Qwen3.7 Max takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K2.6
Kimi K2.6 $0.0024, Qwen3.7 Max $0.0037 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K2.6
Kimi K2.6 $0.35, Qwen3.7 Max $4.69.
Published attempt cost and pass rate
At a glance
- Coding index
- Kimi K2.6 44.2 from 1 benchmark, Qwen3.7 Max 45.1 from 1 benchmark.
- Widest category
- Math, 6.6 points apart on average over 4 shared benchmarks.
- Widest single gap
- SimpleQA Verified: Kimi K2.6 34.9% against Qwen3.7 Max 55.8%, 20.9 points apart on a 0 to 100 scale.
- Output price
- Kimi K2.6 $3.41 against Qwen3.7 Max $4.425 per million output tokens, 1.3x apart.
- Context window
- Kimi K2.6 takes 262K tokens, Qwen3.7 Max 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 K2.6 | Bars | Qwen3.7 Max | Ties |
|---|---|---|---|---|
| Coding | 3 | 9 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 6 | 8 | ||
| Reasoning | 0 | 7 | ||
| Math | 1 | 3 | ||
| Knowledge | 2 | 4 | ||
| Web design | 1 | 7 | ||
| General | 1 | 4 | ||
| All shared boards | 14 | 44 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index39
| Benchmark | Kimi K2.6 | Qwen3.7 Max | Leader |
|---|---|---|---|
| LMArena WebDev | 1509 | 1515 | Qwen3.7 Max |
| AA Coding Index | 61.8 | 66.0 | Qwen3.7 Max |
| LiveCodeBench (Vals AI) | 86.8% | 87.1% | Qwen3.7 Max |
| SWE-bench Verified (Vals AI) | 76.2% | 68.8% | Kimi K2.6 |
| Vibe Code Bench (Vals AI) | 37.9% | 47.7% | Qwen3.7 Max |
| Code migration (Vals AI) | 27.8% | 13.1% | Kimi K2.6 |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Kimi K2.6 measured |
| Terminal-Bench 2.1 (Vals AI) | 53.6% | 61.0% | Qwen3.7 Max |
| SciCode | 51.5% | 49.5% | Kimi K2.6 |
| Terminal-Bench Hard (Artificial Analysis run) | 43.9% | 50.8% | Qwen3.7 Max |
| WeirdML | 55.9% | Not measured | Only Kimi K2.6 measured |
| ALE-Bench | 1092.7 | 1189.4 | Qwen3.7 Max |
| LMArena Text: coding | 1489 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: software and IT | 1484 | Not measured | Only Kimi K2.6 measured |
| LMArena WebDev: React | 1505 | 1514 | Qwen3.7 Max |
| LMArena WebDev: HTML | 1485 | 1512 | Qwen3.7 Max |
| LMArena WebDev: from an image | 1521 | Not measured | Only Kimi K2.6 measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Kimi K2.6 | Qwen3.7 Max | Leader |
|---|---|---|---|
| AA Intelligence Index | 27.0 | 29.5 | Qwen3.7 Max |
| Epoch Capabilities Index | 150.9 | 154.0 | Qwen3.7 Max |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index68
| Benchmark | Kimi K2.6 | Qwen3.7 Max | Leader |
|---|---|---|---|
| AA Agentic Index | 20.5 | 22.5 | Qwen3.7 Max |
| Design Arena: agents building web apps | 1268 | 1208 | Kimi K2.6 |
| Design Arena: agents building full-stack apps | 1155 | 1191 | Qwen3.7 Max |
| Design Arena: agents building mobile apps | 1156 | 1153 | Kimi K2.6 |
| Design Arena: agents building Android apps | 1166 | 1165 | Kimi K2.6 |
| Design Arena: agents building Godot games | 1120 | 1187 | Qwen3.7 Max |
| Design Arena: agents building games | 1141 | 1161 | Qwen3.7 Max |
| Design Arena: HTML slides | 1184 | 1158 | Kimi K2.6 |
| Design Arena: PowerPoint slides | 1128 | 1196 | Qwen3.7 Max |
| Design Arena: spreadsheets | 1276 | Not measured | Only Kimi K2.6 measured |
| Finance Agent (Vals AI) | 44.9% | 47.8% | Qwen3.7 Max |
| Tax Agent Bench (Vals AI) | 12.4% | 15.8% | Qwen3.7 Max |
| Legal Research Bench (Vals AI) | 15.9% | 25.5% | Qwen3.7 Max |
| Excel Modeling Benchmark (Vals AI) | 57.9% | 57.0% | Kimi K2.6 |
| τ²-Bench Telecom | 95.9% | 94.7% | Kimi K2.6 |
| OSWorld 2.0 | 4.6% | Not measured | Only Kimi K2.6 measured |
| Vending-Bench 2 | $6,205 | Not measured | Only Kimi K2.6 measured |
| Neither model has a result on the other 22 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Kimi K2.6 | Qwen3.7 Max | Leader |
|---|---|---|---|
| GPQA Diamond | 89.1% | 90.2% | Qwen3.7 Max |
| MMMU Pro (Vals AI) | 86.3% | Not measured | Only Kimi K2.6 measured |
| GPQA Diamond (Artificial Analysis run) | 91.1% | 92.3% | Qwen3.7 Max |
| Humanity's Last Exam (Artificial Analysis run) | 37.5% | 40.5% | Qwen3.7 Max |
| GPQA Diamond (Epoch AI run) | 90.8% | 90.9% | Qwen3.7 Max |
| SimpleBench | Not measured | 70.4% | Only Qwen3.7 Max measured |
| Chess puzzles | 20.0% | 26.0% | Qwen3.7 Max |
| Mystery game puzzles | 18.0% | 32.0% | Qwen3.7 Max |
| EBR-bench | 2.4% | 9.5% | Qwen3.7 Max |
| LMArena Text: hard prompts | 1470 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: expert | 1491 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: hard prompts in English | 1471 | Not measured | Only Kimi K2.6 measured |
| LMArena Vision: diagrams | 1298 | Not measured | Only Kimi K2.6 measured |
| LMArena Vision: homework | 1310 | Not measured | Only Kimi K2.6 measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | Kimi K2.6 | Qwen3.7 Max | Leader |
|---|---|---|---|
| OTIS Mock AIME | 96.1% | 95.6% | Kimi K2.6 |
| FrontierMath, tiers 1 to 3 | 57.2% | 64.6% | Qwen3.7 Max |
| FrontierMath, tier 4 | 25.6% | 34.1% | Qwen3.7 Max |
| ProofBench | 16.0% | 26.0% | Qwen3.7 Max |
| LMArena Text: math | 1474 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: mathematical work | 1480 | Not measured | Only Kimi K2.6 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | Kimi K2.6 | Qwen3.7 Max | Leader |
|---|---|---|---|
| MMLU Pro | 87.6% | 89.3% | Qwen3.7 Max |
| LegalBench (Vals AI) | 84.7% | 84.9% | Qwen3.7 Max |
| CaseLaw (Vals AI) | 61.2% | Not measured | Only Kimi K2.6 measured |
| CorpFin (Vals AI) | 66.7% | 63.7% | Kimi K2.6 |
| TaxEval (Vals AI) | 74.7% | 75.3% | Qwen3.7 Max |
| MortgageTax (Vals AI) | 65.8% | Not measured | Only Kimi K2.6 measured |
| MedCode (Vals AI) | 40.1% | 38.8% | Kimi K2.6 |
| SimpleQA Verified | 34.9% | 55.8% | Qwen3.7 Max |
| LMArena Text: science | 1468 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: medicine and healthcare | 1457 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: legal and government | 1462 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: business and finance | 1445 | Not measured | Only Kimi K2.6 measured |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | Kimi K2.6 | Qwen3.7 Max | Leader |
|---|---|---|---|
| Design Arena: websites | 1269 | 1274 | Qwen3.7 Max |
| Design Arena: UI components | 1266 | 1269 | Qwen3.7 Max |
| Design Arena: game dev | 1251 | 1265 | Qwen3.7 Max |
| Design Arena: data viz | 1249 | 1275 | Qwen3.7 Max |
| Design Arena: 3D | 1268 | 1266 | Kimi K2.6 |
| Design Arena: all code categories | 1272 | 1275 | Qwen3.7 Max |
| Design Arena: SVG | 1181 | 1216 | Qwen3.7 Max |
| Design Arena: ASCII art | 1164 | 1211 | Qwen3.7 Max |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | Kimi K2.6 | Qwen3.7 Max | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 56.6% | Not measured | Only Kimi K2.6 measured |
| SAGE (Vals AI) | 50.2% | Not measured | Only Kimi K2.6 measured |
| MedScribe (Vals AI) | 78.2% | 79.4% | Qwen3.7 Max |
| Vals Multimodal Index | 56.4% | Not measured | Only Kimi K2.6 measured |
| IFBench | 76.0% | 80.5% | Qwen3.7 Max |
| Long context reasoning (AA-LCR) | 81.0% | 79.0% | Kimi K2.6 |
| DTBench | 90.9% | 92.3% | Qwen3.7 Max |
| LMCA | 37.3% | 44.0% | Qwen3.7 Max |
| Furniture assembly | 21.7% | Not measured | Only Kimi K2.6 measured |
| ExploitBench | 18.4% | Not measured | Only Kimi K2.6 measured |
| LMArena Text | 1455 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: instruction following | 1451 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: creative writing | 1434 | Not measured | Only Kimi K2.6 measured |
| LMArena Vision | 1282 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: English | 1460 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: non-English | 1446 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: Chinese | 1520 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: German | 1451 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: Japanese | 1443 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: Korean | 1427 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: French | 1471 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: Spanish | 1464 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: Russian | 1446 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: Polish | 1438 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: multi-turn | 1453 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: longer queries | 1468 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: writing and language | 1439 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: entertainment and media | 1428 | Not measured | Only Kimi K2.6 measured |
| LMArena Vision: English | 1287 | Not measured | Only Kimi K2.6 measured |
| LMArena Vision: Chinese | 1346 | Not measured | Only Kimi K2.6 measured |
| LMArena Vision: reading text | 1291 | Not measured | Only Kimi K2.6 measured |
| LMArena Vision: humor | 1280 | Not measured | Only Kimi K2.6 measured |
| LMArena Vision: creative writing | 1273 | Not measured | Only Kimi K2.6 measured |
| LMArena Document | 1451 | Not measured | Only Kimi K2.6 measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K2.6 | Qwen3.7 Max | 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
Kimi K2.6 costs less
Repository review
50K input + 3K output tokens
Kimi K2.6 costs less
Agent loop
200K input + 10K output tokens
Kimi K2.6 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 K2.6 | Qwen3.7 Max |
|---|---|---|
| Maker | Moonshot AI | Qwen |
| Weights | Open weights | No public weights listed |
| Released | April 20, 2026 | May 21, 2026 |
| Context window | 262K | 1M |
| Input $/Mtok | $0.65 | $1.475 |
| Output $/Mtok | $3.41 | $4.425 |
| Coding index | 44.2 | 45.1 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $0.35 | $4.69 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K2.6 better than Qwen3.7 Max for coding?
Kimi K2.6 and Qwen3.7 Max are level for coding, 44.2 against 45.1 on the Vibe Coding Index, so price and context decide. Pick Kimi K2.6 when output tokens cost 1.3x less, or when a solved task costs $0.35 against $4.69. Pick Qwen3.7 Max when the context window is larger, 1M against 262K tokens, or when what matters is LMArena WebDev or AA Coding Index, where it leads.
Which is cheaper, Kimi K2.6 or Qwen3.7 Max?
Kimi K2.6 costs $0.65 per million input tokens and $3.41 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Per solved SWE-bench Verified task, Kimi K2.6 costs $0.35 and Qwen3.7 Max $4.69.
Which has the bigger context window, Kimi K2.6 or Qwen3.7 Max?
Qwen3.7 Max, with 1M tokens against 262K.
How many benchmarks is the Kimi K2.6 vs Qwen3.7 Max comparison based on?
58 benchmarks have a result for both models as of October 21, 2026. Kimi K2.6's coding index rests on 1 independent benchmark and Qwen3.7 Max's on 1. Where only one model has a result, the page says so instead of naming a winner.