Kimi K2.5 vs Qwen3.7 Plus
Kimi K2.5 leads Qwen3.7 Plus on coding, 38.6 to 33.2 on the Vibe Coding Index, and Qwen3.7 Plus costs 2.2x less per output token ($1.28 vs $2.85 per million). Updated October 21, 2026; 61 benchmarks have a result for both.
Kimi K2.5 or Qwen3.7 Plus: which to pick
Pick Kimi K2.5 for coding: it scores 38.6 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.
Pick Qwen3.7 Plus for output tokens 2.2x cheaper ($1.28 vs $2.85 per million) and a larger context window (1M against 262K tokens).
- Shared results
- 61
- Kimi K2.5 only
- 38
- Qwen3.7 Plus only
- 14
- Like-for-like categories
- 8 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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, six public coding benchmarks
Kimi K2.5
Kimi K2.5 scores 38.6 against 33.2.
3 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Qwen3.7 Plus
Qwen3.7 Plus leads, 25.2 against 23.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.7 Plus has a AA Agentic Index result, 17.5.
Directional only
Reasoning
GPQA Diamond
No call
Only Kimi K2.5 has a GPQA Diamond result, 84.1%.
Directional only
Math
AIME
No call
Only Kimi K2.5 has a AIME result, 95.6%.
Directional only
Knowledge
MMLU Pro
No call
Only Kimi K2.5 has a MMLU Pro result, 85.9%.
Directional only
Web design
Design Arena: websites
Qwen3.7 Plus
Qwen3.7 Plus leads, 1269 against 1248.
Same board, both measured
Long documents
Listed context window
Qwen3.7 Plus
Qwen3.7 Plus takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.7 Plus
Kimi K2.5 $0.0020, Qwen3.7 Plus $0.0010 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Kimi K2.5 has the number, $0.24.
Directional only
At a glance
- Coding index
- Kimi K2.5 38.6 from 3 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
- Widest category
- Coding, 9.9 points apart on average over 7 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Kimi K2.5 17.5% against Qwen3.7 Plus 46.4%, 28.9 points apart on a 0 to 100 scale.
- Output price
- Kimi K2.5 $2.85 against Qwen3.7 Plus $1.28 per million output tokens, 2.2x apart.
- Context window
- Kimi K2.5 takes 262K tokens, Qwen3.7 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 K2.5 | Bars | Qwen3.7 Plus | Ties |
|---|---|---|---|---|
| Coding | 1 | 6 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 1 | 3 | ||
| Reasoning | 2 | 5 | ||
| Math | 2 | 0 | ||
| Knowledge | 1 | 4 | ||
| Web design | 1 | 7 | ||
| General | 5 | 21 | ||
| All shared boards | 14 | 47 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index16
| Benchmark | Kimi K2.5 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| SWE-bench Verified | 70.8% | Not measured | Only Kimi K2.5 measured |
| SWE-bench Multilingual | 67.3% | Not measured | Only Kimi K2.5 measured |
| LMArena WebDev | 1437 | Not measured | Only Kimi K2.5 measured |
| AA Coding Index | 46.8 | 55.9 | Qwen3.7 Plus |
| LiveCodeBench (Vals AI) | 83.9% | Not measured | Only Kimi K2.5 measured |
| SWE-bench Verified (Vals AI) | 70.0% | Not measured | Only Kimi K2.5 measured |
| Vibe Code Bench (Vals AI) | 17.5% | 46.4% | Qwen3.7 Plus |
| Code migration (Vals AI) | 7.0% | 12.9% | Qwen3.7 Plus |
| Terminal-Bench 2.1 (Vals AI) | 42.0% | 52.8% | Qwen3.7 Plus |
| SkillsBench (Vals AI) | Not measured | 54.3% | Only Qwen3.7 Plus measured |
| SciCode | Not measured | 46.1% | Only Qwen3.7 Plus measured |
| Terminal-Bench Hard (Artificial Analysis run) | 34.8% | 47.0% | Qwen3.7 Plus |
| Terminal-Bench | 43.2% | Not measured | Only Kimi K2.5 measured |
| FrontierCode | Not measured | 10.2% | Only Qwen3.7 Plus measured |
| WeirdML | 45.6% | Not measured | Only Kimi K2.5 measured |
| ALE-Bench | 821.6 | Not measured | Only Kimi K2.5 measured |
| LMArena Text: coding | 1483 | 1473 | Kimi K2.5 |
| LMArena Text: software and IT | 1471 | 1473 | Qwen3.7 Plus |
| LMArena WebDev: React | 1429 | Not measured | Only Kimi K2.5 measured |
| LMArena WebDev: HTML | 1426 | Not measured | Only Kimi K2.5 measured |
| LMArena WebDev: from an image | 1439 | Not measured | Only Kimi K2.5 measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Kimi K2.5 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 23.5 | 25.2 | Qwen3.7 Plus |
| Epoch Capabilities Index | 148.1 | 147.0 | Kimi K2.5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | Kimi K2.5 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 17.5 | Only Qwen3.7 Plus measured |
| Design Arena: agents building web apps | 1136 | Not measured | Only Kimi K2.5 measured |
| Design Arena: agents building full-stack apps | 1114 | Not measured | Only Kimi K2.5 measured |
| Design Arena: agents building mobile apps | 1147 | Not measured | Only Kimi K2.5 measured |
| Design Arena: agents building Android apps | 1118 | Not measured | Only Kimi K2.5 measured |
| Design Arena: agents building Godot games | 1219 | Not measured | Only Kimi K2.5 measured |
| Finance Agent (Vals AI) | 35.8% | 38.2% | Qwen3.7 Plus |
| Tax Agent Bench (Vals AI) | Not measured | 10.5% | Only Qwen3.7 Plus measured |
| Legal Research Bench (Vals AI) | 15.9% | 16.4% | Qwen3.7 Plus |
| Excel Modeling Benchmark (Vals AI) | 28.5% | 49.3% | Qwen3.7 Plus |
| τ²-Bench Telecom | 95.9% | 93.0% | Kimi K2.5 |
| OSWorld 2.0 | Not measured | 2.8% | Only Qwen3.7 Plus measured |
| OSWorld | 63.3% | Not measured | Only Kimi K2.5 measured |
| Vending-Bench 2 | $1,198 | Not measured | Only Kimi K2.5 measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index25
| Benchmark | Kimi K2.5 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| GPQA Diamond | 84.1% | Not measured | Only Kimi K2.5 measured |
| MMMU Pro (Vals AI) | 84.3% | Not measured | Only Kimi K2.5 measured |
| GPQA Diamond (Artificial Analysis run) | 87.9% | 90.0% | Qwen3.7 Plus |
| Humanity's Last Exam (Artificial Analysis run) | 30.7% | 35.6% | Qwen3.7 Plus |
| GPQA Diamond (Epoch AI run) | Not measured | 87.9% | Only Qwen3.7 Plus measured |
| ARC-AGI | 65.3% | Not measured | Only Kimi K2.5 measured |
| ARC-AGI-2 | 11.8% | Not measured | Only Kimi K2.5 measured |
| SimpleBench | 46.8% | Not measured | Only Kimi K2.5 measured |
| Mystery game puzzles | Not measured | 17.0% | Only Qwen3.7 Plus measured |
| LMArena Text: hard prompts | 1453 | 1460 | Qwen3.7 Plus |
| LMArena Text: expert | 1466 | 1466 | Qwen3.7 Plus |
| LMArena Text: hard prompts in English | 1460 | 1460 | Kimi K2.5 |
| LMArena Vision: diagrams | 1282 | 1292 | Qwen3.7 Plus |
| LMArena Vision: homework | 1297 | 1295 | Kimi K2.5 |
| Kagi LLM Benchmark | 78.5% | Not measured | Only Kimi K2.5 measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K2.5 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AIME | 95.6% | Not measured | Only Kimi K2.5 measured |
| OTIS Mock AIME | Not measured | 93.3% | Only Qwen3.7 Plus measured |
| FrontierMath, tiers 1 to 3 | Not measured | 34.4% | Only Qwen3.7 Plus measured |
| LMArena Text: math | 1470 | 1467 | Kimi K2.5 |
| LMArena Text: mathematical work | 1473 | 1470 | Kimi K2.5 |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | Kimi K2.5 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| MMLU Pro | 85.9% | Not measured | Only Kimi K2.5 measured |
| CaseLaw (Vals AI) | 58.7% | Not measured | Only Kimi K2.5 measured |
| CorpFin (Vals AI) | 68.3% | Not measured | Only Kimi K2.5 measured |
| TaxEval (Vals AI) | 74.2% | Not measured | Only Kimi K2.5 measured |
| MortgageTax (Vals AI) | 66.5% | 66.2% | Kimi K2.5 |
| MedQA (Vals AI) | 94.4% | Not measured | Only Kimi K2.5 measured |
| MedCode (Vals AI) | 39.3% | Not measured | Only Kimi K2.5 measured |
| SimpleQA Verified | 34.3% | Not measured | Only Kimi K2.5 measured |
| LMArena Text: science | 1459 | 1464 | Qwen3.7 Plus |
| LMArena Text: medicine and healthcare | 1448 | 1464 | Qwen3.7 Plus |
| LMArena Text: legal and government | 1441 | 1451 | Qwen3.7 Plus |
| LMArena Text: business and finance | 1427 | 1435 | Qwen3.7 Plus |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | Kimi K2.5 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | 1248 | 1269 | Qwen3.7 Plus |
| Design Arena: UI components | 1236 | 1261 | Qwen3.7 Plus |
| Design Arena: game dev | 1207 | 1262 | Qwen3.7 Plus |
| Design Arena: data viz | 1219 | 1276 | Qwen3.7 Plus |
| Design Arena: 3D | 1205 | 1239 | Qwen3.7 Plus |
| Design Arena: all code categories | 1236 | 1269 | Qwen3.7 Plus |
| Design Arena: SVG | 1149 | 1208 | Qwen3.7 Plus |
| Design Arena: ASCII art | 1166 | 1143 | Kimi K2.5 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index521
| Benchmark | Kimi K2.5 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 49.9% | 39.3% | Kimi K2.5 |
| MedScribe (Vals AI) | 76.4% | Not measured | Only Kimi K2.5 measured |
| Vals Multimodal Index | Not measured | 53.9% | Only Qwen3.7 Plus measured |
| IFBench | 70.2% | 78.0% | Qwen3.7 Plus |
| Long context reasoning (AA-LCR) | 78.0% | 73.0% | Kimi K2.5 |
| DTBench | Not measured | 84.0% | Only Qwen3.7 Plus measured |
| LMCA | Not measured | 37.6% | Only Qwen3.7 Plus measured |
| Fiction.LiveBench | 86.1% | Not measured | Only Kimi K2.5 measured |
| CL-bench | 19.3% | Not measured | Only Kimi K2.5 measured |
| CL-bench Life | 13.2% | Not measured | Only Kimi K2.5 measured |
| LMArena Text | 1445 | 1454 | Qwen3.7 Plus |
| LMArena Text: instruction following | 1431 | 1439 | Qwen3.7 Plus |
| LMArena Text: creative writing | 1422 | 1438 | Qwen3.7 Plus |
| LMArena Vision | 1269 | 1278 | Qwen3.7 Plus |
| LMArena Text: English | 1453 | 1458 | Qwen3.7 Plus |
| LMArena Text: non-English | 1433 | 1445 | Qwen3.7 Plus |
| LMArena Text: Chinese | 1494 | 1509 | Qwen3.7 Plus |
| LMArena Text: German | 1441 | 1471 | Qwen3.7 Plus |
| LMArena Text: Japanese | 1423 | 1412 | Kimi K2.5 |
| LMArena Text: Korean | 1412 | 1413 | Qwen3.7 Plus |
| LMArena Text: French | 1454 | 1472 | Qwen3.7 Plus |
| LMArena Text: Spanish | 1450 | 1457 | Qwen3.7 Plus |
| LMArena Text: Russian | 1435 | 1457 | Qwen3.7 Plus |
| LMArena Text: Polish | 1445 | 1449 | Qwen3.7 Plus |
| LMArena Text: multi-turn | 1444 | 1459 | Qwen3.7 Plus |
| LMArena Text: longer queries | 1445 | 1454 | Qwen3.7 Plus |
| LMArena Text: writing and language | 1425 | 1437 | Qwen3.7 Plus |
| LMArena Text: entertainment and media | 1417 | 1422 | Qwen3.7 Plus |
| LMArena Vision: English | 1274 | 1280 | Qwen3.7 Plus |
| LMArena Vision: Chinese | 1328 | 1332 | Qwen3.7 Plus |
| LMArena Vision: reading text | 1276 | 1288 | Qwen3.7 Plus |
| LMArena Vision: humor | 1284 | 1261 | Kimi K2.5 |
| LMArena Vision: captioning | 1257 | Not measured | Only Kimi K2.5 measured |
| LMArena Vision: recognizing things | 1285 | Not measured | Only Kimi K2.5 measured |
| LMArena Vision: creative writing | 1269 | 1258 | Kimi K2.5 |
| LMArena Document | Not measured | 1444 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 10 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K2.5 | Qwen3.7 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
Qwen3.7 Plus costs less
Repository review
50K input + 3K output tokens
Qwen3.7 Plus costs less
Agent loop
200K input + 10K output tokens
Qwen3.7 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 K2.5 | Qwen3.7 Plus |
|---|---|---|
| Maker | Moonshot AI | Qwen |
| Weights | Open weights | No public weights listed |
| Released | January 27, 2026 | June 3, 2026 |
| Context window | 262K | 1M |
| Input $/Mtok | $0.532 | $0.32 |
| Output $/Mtok | $2.85 | $1.28 |
| Coding index | 38.6 | 33.2 |
| Independent measurements behind it | 3 | 2 |
| Cost per solved task | $0.24 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K2.5 better than Qwen3.7 Plus for coding?
Pick Kimi K2.5 for coding: it scores 38.6 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus for output tokens 2.2x cheaper ($1.28 vs $2.85 per million) and a larger context window (1M against 262K tokens).
Which is cheaper, Kimi K2.5 or Qwen3.7 Plus?
Kimi K2.5 costs $0.532 per million input tokens and $2.85 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for Kimi K2.5 only.
Which has the bigger context window, Kimi K2.5 or Qwen3.7 Plus?
Qwen3.7 Plus, with 1M tokens against 262K.
How many benchmarks is the Kimi K2.5 vs Qwen3.7 Plus comparison based on?
61 benchmarks have a result for both models as of October 21, 2026. Kimi K2.5's coding index rests on 3 independent benchmarks and Qwen3.7 Plus's on 2. Where only one model has a result, the page says so instead of naming a winner.