Kimi K3.1 Pro vs Qwen3.8 Max (0902)
Kimi K3.1 Pro leads Qwen3.8 Max (0902) on coding, 82.2 to 67.1 on the Vibe Coding Index, and Qwen3.8 Max (0902) costs 1.7x less per output token ($6.00 vs $10.00 per million). Updated October 29, 2026; 31 benchmarks have a result for both.
Kimi K3.1 Pro or Qwen3.8 Max (0902): which to pick
Pick Kimi K3.1 Pro for coding: it scores 82.2 on the Vibe Coding Index against 67.1 for Qwen3.8 Max (0902), though on 4 benchmarks against 5.
Pick Qwen3.8 Max (0902) for output tokens 1.7x cheaper ($6.00 vs $10.00 per million) and work measured by Tax Agent Bench (Vals AI) or Legal Research Bench (Vals AI), where it leads.
- Shared results
- 31
- Kimi K3.1 Pro only
- 4
- Qwen3.8 Max (0902) only
- 85
- Like-for-like categories
- 7 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 K3.1 Pro
Kimi K3.1 Pro scores 82.2 against 67.1.
4 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
Kimi K3.1 Pro
Kimi K3.1 Pro leads, 46.0 against 33.6.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.8 Max (0902) has a AA Agentic Index result, 56.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Qwen3.8 Max (0902) has a GPQA Diamond result, 93.7%.
Directional only
Knowledge
MMLU Pro
No call
Only Qwen3.8 Max (0902) has a MMLU Pro result, 88.6%.
Directional only
Web design
Design Arena: websites
Kimi K3.1 Pro
Kimi K3.1 Pro leads, 1325 against 1274.
Same board, both measured
General
Vals Index
Kimi K3.1 Pro
Kimi K3.1 Pro leads, 62.5% against 59.1%.
Same board, both measured
Long documents
Listed context window
Kimi K3.1 Pro
Kimi K3.1 Pro takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.8 Max (0902)
Kimi K3.1 Pro $0.0070, Qwen3.8 Max (0902) $0.0050 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.8 Max (0902) has the number, $1.32.
Directional only
At a glance
- Coding index
- Kimi K3.1 Pro 82.2 from 4 benchmarks, Qwen3.8 Max (0902) 67.1 from 5 benchmarks.
- Widest category
- Math, 20.8 points apart on average over 2 shared benchmarks.
- Widest single gap
- ProofBench: Kimi K3.1 Pro 91.0% against Qwen3.8 Max (0902) 58.0%, 33.0 points apart on a 0 to 100 scale.
- Output price
- Kimi K3.1 Pro $10.00 against Qwen3.8 Max (0902) $6.00 per million output tokens, 1.7x apart.
- Context window
- Kimi K3.1 Pro takes 1.05M tokens, Qwen3.8 Max (0902) 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 K3.1 Pro | Bars | Qwen3.8 Max (0902) | Ties |
|---|---|---|---|---|
| Coding | 8 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 4 | 3 | ||
| Reasoning | 3 | 0 | ||
| Math | 2 | 0 | ||
| Web design | 6 | 1 | ||
| General | 3 | 0 | ||
| All shared boards | 27 | 4 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
| Benchmark | Kimi K3.1 Pro | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| LiveBench coding | 81.8% | 60.3% | Kimi K3.1 Pro |
| LMArena WebDev | 1695 | 1676 | Kimi K3.1 Pro |
| AA Coding Index | Not measured | 76.2 | Only Qwen3.8 Max (0902) measured |
| LiveCodeBench (Vals AI) | Not measured | 87.8% | Only Qwen3.8 Max (0902) measured |
| SWE-bench Verified (Vals AI) | Not measured | 85.6% | Only Qwen3.8 Max (0902) measured |
| Terminal-Bench 4 (Vals AI) | 63.6% | 38.9% | Kimi K3.1 Pro |
| Vibe Code Bench (Vals AI) | 84.9% | 77.1% | Kimi K3.1 Pro |
| Code migration (Vals AI) | Not measured | 24.0% | Only Qwen3.8 Max (0902) measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Qwen3.8 Max (0902) measured |
| IOI (Vals AI) | 81.9% | 68.9% | Kimi K3.1 Pro |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 67.4% | Only Qwen3.8 Max (0902) measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 42.5% | Only Qwen3.8 Max (0902) measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 24.8% | Only Qwen3.8 Max (0902) measured |
| SkillsBench (Vals AI) | Not measured | 42.0% | Only Qwen3.8 Max (0902) measured |
| CyberBench (Vals AI) | Not measured | 28.6% | Only Qwen3.8 Max (0902) measured |
| SciCode | 60.8% | 53.2% | Kimi K3.1 Pro |
| FrontierSWE | Not measured | 17.8% | Only Qwen3.8 Max (0902) measured |
| ALE-Bench | 1932.8 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: coding | Not measured | 1504 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: software and IT | Not measured | 1499 | Only Qwen3.8 Max (0902) measured |
| LMArena WebDev: React | 1701 | 1692 | Kimi K3.1 Pro |
| LMArena WebDev: HTML | 1706 | 1657 | Kimi K3.1 Pro |
| LMArena WebDev: from an image | Not measured | 1637 | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Kimi K3.1 Pro | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| AA Intelligence Index | 46.0 | 33.6 | Kimi K3.1 Pro |
| Epoch Capabilities Index | Not measured | 157.4 | Only Qwen3.8 Max (0902) measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index43
| Benchmark | Kimi K3.1 Pro | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 56.0 | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building web apps | Not measured | 1301 | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building full-stack apps | Not measured | 1305 | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building mobile apps | Not measured | 1222 | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building Android apps | Not measured | 1201 | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building Godot games | Not measured | 1234 | Only Qwen3.8 Max (0902) measured |
| Design Arena: PowerPoint slides | Not measured | 1217 | Only Qwen3.8 Max (0902) measured |
| Design Arena: spreadsheets | Not measured | 1052 | Only Qwen3.8 Max (0902) measured |
| LiveBench research | 77.9% | 69.9% | Kimi K3.1 Pro |
| LiveBench browser | 75.9% | 49.4% | Kimi K3.1 Pro |
| LiveBench long agentic | 39.1% | 29.9% | Kimi K3.1 Pro |
| Finance Agent (Vals AI) | Not measured | 57.9% | Only Qwen3.8 Max (0902) measured |
| Tax Agent Bench (Vals AI) | 24.9% | 49.7% | Qwen3.8 Max (0902) |
| Legal Research Bench (Vals AI) | 37.5% | 47.6% | Qwen3.8 Max (0902) |
| Harvey's Legal Agent Benchmark (Vals AI) | 11.7% | 15.4% | Qwen3.8 Max (0902) |
| Excel Modeling Benchmark (Vals AI) | Not measured | 72.0% | Only Qwen3.8 Max (0902) measured |
| BioMysteryBench (Vals AI) | 75.6% | Not measured | Only Kimi K3.1 Pro measured |
| Terminal-Bench-Science (Vals AI) | 31.4% | 12.9% | Kimi K3.1 Pro |
| Vals Science Index | 44.4% | Not measured | Only Kimi K3.1 Pro measured |
| APEX-Agents | Not measured | 63.3% | Only Qwen3.8 Max (0902) measured |
| LMArena Search | Not measured | 1261 | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 21 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Kimi K3.1 Pro | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 93.7% | Only Qwen3.8 Max (0902) measured |
| LiveBench reasoning | 91.1% | 88.2% | Kimi K3.1 Pro |
| MysteryMechanism (Vals AI) | 26.1% | 23.9% | Kimi K3.1 Pro |
| MMMU Pro (Vals AI) | Not measured | 88.0% | Only Qwen3.8 Max (0902) measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 92.8% | Only Qwen3.8 Max (0902) measured |
| Humanity's Last Exam (Artificial Analysis run) | 52.5% | 43.1% | Kimi K3.1 Pro |
| GPQA Diamond (Epoch AI run) | Not measured | 92.7% | Only Qwen3.8 Max (0902) measured |
| Chess puzzles | Not measured | 46.0% | Only Qwen3.8 Max (0902) measured |
| Mystery game puzzles | Not measured | 38.0% | Only Qwen3.8 Max (0902) measured |
| LMArena Text: hard prompts | Not measured | 1496 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: expert | Not measured | 1508 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: hard prompts in English | Not measured | 1505 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: diagrams | Not measured | 1323 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: homework | Not measured | 1336 | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K3.1 Pro | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 100.0% | Only Qwen3.8 Max (0902) measured |
| FrontierMath, tiers 1 to 3 | Not measured | 74.7% | Only Qwen3.8 Max (0902) measured |
| FrontierMath, tier 4 | Not measured | 46.3% | Only Qwen3.8 Max (0902) measured |
| ProofBench | 91.0% | 58.0% | Kimi K3.1 Pro |
| LMArena Text: math | Not measured | 1506 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: mathematical work | Not measured | 1496 | Only Qwen3.8 Max (0902) measured |
| MathArena | 59.6% | 51.0% | Kimi K3.1 Pro |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
| Benchmark | Kimi K3.1 Pro | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 88.6% | Only Qwen3.8 Max (0902) measured |
| LegalBench (Vals AI) | Not measured | 83.6% | Only Qwen3.8 Max (0902) measured |
| CorpFin (Vals AI) | Not measured | 65.8% | Only Qwen3.8 Max (0902) measured |
| TaxEval (Vals AI) | Not measured | 75.5% | Only Qwen3.8 Max (0902) measured |
| MortgageTax (Vals AI) | Not measured | 64.0% | Only Qwen3.8 Max (0902) measured |
| MedCode (Vals AI) | Not measured | 40.7% | Only Qwen3.8 Max (0902) measured |
| SimpleQA Verified | Not measured | 47.3% | Only Qwen3.8 Max (0902) measured |
| LMArena Text: science | Not measured | 1514 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: medicine and healthcare | Not measured | 1505 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: legal and government | Not measured | 1494 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: business and finance | Not measured | 1480 | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 9 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index61
| Benchmark | Kimi K3.1 Pro | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| Design Arena: websites | 1325 | 1274 | Kimi K3.1 Pro |
| Design Arena: UI components | 1400 | 1338 | Kimi K3.1 Pro |
| Design Arena: game dev | 1410 | 1314 | Kimi K3.1 Pro |
| Design Arena: data viz | 1300 | 1283 | Kimi K3.1 Pro |
| Design Arena: 3D | 1451 | 1333 | Kimi K3.1 Pro |
| Design Arena: all code categories | 1354 | 1292 | Kimi K3.1 Pro |
| Design Arena: SVG | 1328 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: ASCII art | Not measured | 1194 | Only Qwen3.8 Max (0902) measured |
| LiveBench design | 77.8% | 78.6% | Qwen3.8 Max (0902) |
GeneralLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Kimi K3.1 Pro | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| Vals Index | 62.5% | 59.1% | Kimi K3.1 Pro |
| LiveBench data analysis | 79.1% | 78.4% | Kimi K3.1 Pro |
| Public Benefits Bench (Vals AI) | Not measured | 67.1% | Only Qwen3.8 Max (0902) measured |
| SAGE (Vals AI) | Not measured | 81.8% | Only Qwen3.8 Max (0902) measured |
| MedScribe (Vals AI) | Not measured | 85.0% | Only Qwen3.8 Max (0902) measured |
| Vals Multimodal Index | Not measured | 65.4% | Only Qwen3.8 Max (0902) measured |
| Long context reasoning (AA-LCR) | 86.3% | 80.3% | Kimi K3.1 Pro |
| DTBench | Not measured | 92.0% | Only Qwen3.8 Max (0902) measured |
| LMCA | Not measured | 46.2% | Only Qwen3.8 Max (0902) measured |
| Furniture assembly | Not measured | 20.0% | Only Qwen3.8 Max (0902) measured |
| LMArena Text | Not measured | 1483 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: instruction following | Not measured | 1480 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: creative writing | Not measured | 1478 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision | Not measured | 1313 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: English | Not measured | 1493 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: non-English | Not measured | 1472 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: Chinese | Not measured | 1540 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: German | Not measured | 1475 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: Japanese | Not measured | 1471 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: Korean | Not measured | 1462 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: French | Not measured | 1503 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: Spanish | Not measured | 1488 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: Russian | Not measured | 1484 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: Polish | Not measured | 1475 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: multi-turn | Not measured | 1491 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: longer queries | Not measured | 1488 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: writing and language | Not measured | 1478 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: entertainment and media | Not measured | 1465 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: English | Not measured | 1311 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: Chinese | Not measured | 1358 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: reading text | Not measured | 1322 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: humor | Not measured | 1304 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: creative writing | Not measured | 1312 | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K3.1 Pro | Qwen3.8 Max (0902) | 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
Qwen3.8 Max (0902) costs less
Repository review
50K input + 3K output tokens
Qwen3.8 Max (0902) costs less
Agent loop
200K input + 10K output tokens
Qwen3.8 Max (0902) 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 K3.1 Pro | Qwen3.8 Max (0902) |
|---|---|---|
| Maker | Moonshot AI | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | October 23, 2026 | September 3, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $2.00 | $2.00 |
| Output $/Mtok | $10.00 | $6.00 |
| Coding index | 82.2 | 67.1 |
| Independent measurements behind it | 4 | 5 |
| Cost per solved task | Not computable | $1.32 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K3.1 Pro better than Qwen3.8 Max (0902) for coding?
Pick Kimi K3.1 Pro for coding: it scores 82.2 on the Vibe Coding Index against 67.1 for Qwen3.8 Max (0902), though on 4 benchmarks against 5. Pick Qwen3.8 Max (0902) for output tokens 1.7x cheaper ($6.00 vs $10.00 per million) and work measured by Tax Agent Bench (Vals AI) or Legal Research Bench (Vals AI), where it leads.
Which is cheaper, Kimi K3.1 Pro or Qwen3.8 Max (0902)?
Kimi K3.1 Pro costs $2.00 per million input tokens and $10.00 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Cost per solved task is known for Qwen3.8 Max (0902) only.
Which has the bigger context window, Kimi K3.1 Pro or Qwen3.8 Max (0902)?
Kimi K3.1 Pro, with 1.05M tokens against 1M.
How many benchmarks is the Kimi K3.1 Pro vs Qwen3.8 Max (0902) comparison based on?
31 benchmarks have a result for both models as of October 29, 2026. Kimi K3.1 Pro's coding index rests on 4 independent benchmarks and Qwen3.8 Max (0902)'s on 5. Where only one model has a result, the page says so instead of naming a winner.