GPT-6.1 Sol vs Kimi K3.1 Pro
GPT-6.1 Sol leads Kimi K3.1 Pro on coding, 82.3 to 82.2 on the Vibe Coding Index, at about the same output price ($10.00 vs $10.00 per million). Updated October 29, 2026; 34 benchmarks have a result for both.
GPT-6.1 Sol or Kimi K3.1 Pro: which to pick
GPT-6.1 Sol and Kimi K3.1 Pro are level for coding, 82.3 against 82.2 on the Vibe Coding Index, so price and context decide.
Pick Kimi K3.1 Pro for work measured by Terminal-Bench 4 (Vals AI) or SciCode, where it leads. Pick GPT-6.1 Sol for a larger context window (1.05M against 1.05M tokens) and work measured by LiveBench coding or LMArena WebDev, where it leads.
- Shared results
- 34
- GPT-6.1 Sol only
- 72
- Kimi K3.1 Pro only
- 1
- 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
No call
Level: 82.3 against 82.2, inside 2 points.
5 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-6.1 Sol
GPT-6.1 Sol leads, 54.5 against 46.0.
Same board, both measured
Web design
Design Arena: websites
Kimi K3.1 Pro
Kimi K3.1 Pro leads, 1325 against 1315.
Same board, both measured
General
Vals Index
GPT-6.1 Sol
GPT-6.1 Sol leads, 63.9% against 62.5%.
Same board, both measured
Long documents
Listed context window
GPT-6.1 Sol
GPT-6.1 Sol takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
No call
GPT-6.1 Sol $0.0070, Kimi K3.1 Pro $0.0070 per turn.
List prices
At a glance
- Coding index
- GPT-6.1 Sol 82.3 from 5 benchmarks, Kimi K3.1 Pro 82.2 from 4 benchmarks.
- Widest category
- Math, 16.2 points apart on average over 2 shared benchmarks.
- Widest single gap
- LiveBench long agentic: GPT-6.1 Sol 68.7% against Kimi K3.1 Pro 39.1%, 29.6 points apart on a 0 to 100 scale.
- Output price
- Both cost $10.00 per million output tokens.
- Context window
- GPT-6.1 Sol takes 1.05M tokens, Kimi K3.1 Pro 1.05M.
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 | GPT-6.1 Sol | Bars | Kimi K3.1 Pro | Ties |
|---|---|---|---|---|
| Coding | 7 | 2 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 7 | 2 | ||
| Reasoning | 3 | 0 | ||
| Math | 2 | 0 | ||
| Web design | 2 | 5 | ||
| General | 2 | 1 | ||
| All shared boards | 24 | 10 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index72
| Benchmark | GPT-6.1 Sol | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| LiveBench coding | 96.0% | 81.8% | GPT-6.1 Sol |
| LMArena WebDev | 1751 | 1695 | GPT-6.1 Sol |
| Terminal-Bench 4 (Vals AI) | 55.0% | 63.6% | Kimi K3.1 Pro |
| Vibe Code Bench (Vals AI) | 88.9% | 84.9% | GPT-6.1 Sol |
| Code migration (Vals AI) | 65.1% | Not measured | Only GPT-6.1 Sol measured |
| ProgramBench (Vals AI) | 3.0% | Not measured | Only GPT-6.1 Sol measured |
| IOI (Vals AI) | 96.9% | 81.9% | GPT-6.1 Sol |
| SWE-bench Multimodal (Vals AI) | 43.5% | Not measured | Only GPT-6.1 Sol measured |
| CyberBench (Vals AI) | 39.3% | Not measured | Only GPT-6.1 Sol measured |
| SciCode | 55.8% | 60.8% | Kimi K3.1 Pro |
| FrontierCode | 50.2% | Not measured | Only GPT-6.1 Sol measured |
| ALE-Bench | 2743.8 | 1932.8 | GPT-6.1 Sol |
| LMArena Text: coding | 1486 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: software and IT | 1481 | Not measured | Only GPT-6.1 Sol measured |
| LMArena WebDev: React | 1752 | 1701 | GPT-6.1 Sol |
| LMArena WebDev: HTML | 1796 | 1706 | GPT-6.1 Sol |
| LMArena WebDev: from an image | 1702 | Not measured | Only GPT-6.1 Sol measured |
| SciCode | 9.2% | Not measured | Only GPT-6.1 Sol measured |
| SWE-Bench Pro V2 | 96.1% | Not measured | Only GPT-6.1 Sol measured |
| Neither model has a result on the other 24 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-6.1 Sol | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 54.5 | 46.0 | GPT-6.1 Sol |
| Epoch Capabilities Index | 168.4 | Not measured | Only GPT-6.1 Sol measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index72
| Benchmark | GPT-6.1 Sol | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1308 | Not measured | Only GPT-6.1 Sol measured |
| Design Arena: agents building mobile apps | 1234 | Not measured | Only GPT-6.1 Sol measured |
| Design Arena: spreadsheets | 1288 | Not measured | Only GPT-6.1 Sol measured |
| LiveBench research | 83.5% | 77.9% | GPT-6.1 Sol |
| LiveBench browser | 93.3% | 75.9% | GPT-6.1 Sol |
| LiveBench long agentic | 68.7% | 39.1% | GPT-6.1 Sol |
| SREBench (Vals AI) | 50.8% | Not measured | Only GPT-6.1 Sol measured |
| Finance Agent (Vals AI) | 52.0% | Not measured | Only GPT-6.1 Sol measured |
| Tax Agent Bench (Vals AI) | 21.8% | 24.9% | Kimi K3.1 Pro |
| Legal Research Bench (Vals AI) | 38.5% | 37.5% | GPT-6.1 Sol |
| Harvey's Legal Agent Benchmark (Vals AI) | 6.3% | 11.7% | Kimi K3.1 Pro |
| Excel Modeling Benchmark (Vals AI) | 70.8% | Not measured | Only GPT-6.1 Sol measured |
| BioMysteryBench (Vals AI) | 79.6% | 75.6% | GPT-6.1 Sol |
| Terminal-Bench-Science (Vals AI) | 52.9% | 31.4% | GPT-6.1 Sol |
| Vals Science Index | 59.6% | 44.4% | GPT-6.1 Sol |
| Robo-bench (Vals AI) | 28.3% | Not measured | Only GPT-6.1 Sol measured |
| APEX-Agents | 60.0% | Not measured | Only GPT-6.1 Sol measured |
| SpireClimb | 24.7% | Not measured | Only GPT-6.1 Sol measured |
| Neither model has a result on the other 24 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | GPT-6.1 Sol | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| LiveBench reasoning | 92.6% | 91.1% | GPT-6.1 Sol |
| MysteryMechanism (Vals AI) | 46.4% | 26.1% | GPT-6.1 Sol |
| Humanity's Last Exam (Artificial Analysis run) | 52.9% | 52.5% | GPT-6.1 Sol |
| GPQA Diamond (Epoch AI run) | 95.4% | Not measured | Only GPT-6.1 Sol measured |
| ARC-AGI | 98.5% | Not measured | Only GPT-6.1 Sol measured |
| ARC-AGI-2 | 94.2% | Not measured | Only GPT-6.1 Sol measured |
| Chess puzzles | 68.0% | Not measured | Only GPT-6.1 Sol measured |
| Mystery game puzzles | 80.0% | Not measured | Only GPT-6.1 Sol measured |
| EBR-bench | 54.3% | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: hard prompts | 1467 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: expert | 1499 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: hard prompts in English | 1469 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Vision: diagrams | 1306 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Vision: homework | 1356 | Not measured | Only GPT-6.1 Sol 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 | GPT-6.1 Sol | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | Not measured | Only GPT-6.1 Sol measured |
| FrontierMath, tiers 1 to 3 | 93.7% | Not measured | Only GPT-6.1 Sol measured |
| FrontierMath, tier 4 | 100.0% | Not measured | Only GPT-6.1 Sol measured |
| ProofBench | 99.0% | 91.0% | GPT-6.1 Sol |
| LMArena Text: math | 1486 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: mathematical work | 1515 | Not measured | Only GPT-6.1 Sol measured |
| MathArena | 84.0% | 59.6% | GPT-6.1 Sol |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | GPT-6.1 Sol | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| MedCode (Vals AI) | 48.8% | Not measured | Only GPT-6.1 Sol measured |
| SimpleQA Verified | 73.9% | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: science | 1448 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: medicine and healthcare | 1431 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: legal and government | 1474 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: business and finance | 1449 | Not measured | Only GPT-6.1 Sol measured |
| FACTS Benchmark Suite | 74.6% | Not measured | Only GPT-6.1 Sol measured |
| PRBench Finance | 46.2% | Not measured | Only GPT-6.1 Sol measured |
| PRBench Legal | 47.9% | Not measured | Only GPT-6.1 Sol measured |
| Neither model has a result on the other 11 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index25
| Benchmark | GPT-6.1 Sol | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1315 | 1325 | Kimi K3.1 Pro |
| Design Arena: UI components | 1344 | 1400 | Kimi K3.1 Pro |
| Design Arena: game dev | 1407 | 1410 | Kimi K3.1 Pro |
| Design Arena: data viz | 1287 | 1300 | Kimi K3.1 Pro |
| Design Arena: 3D | 1437 | 1451 | Kimi K3.1 Pro |
| Design Arena: all code categories | 1357 | 1354 | GPT-6.1 Sol |
| Design Arena: SVG | Not measured | 1328 | Only Kimi K3.1 Pro measured |
| LiveBench design | 82.1% | 77.8% | GPT-6.1 Sol |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | GPT-6.1 Sol | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| Vals Index | 63.9% | 62.5% | GPT-6.1 Sol |
| LiveBench data analysis | 82.7% | 79.1% | GPT-6.1 Sol |
| Public Benefits Bench (Vals AI) | 59.3% | Not measured | Only GPT-6.1 Sol measured |
| SAGE (Vals AI) | 90.5% | Not measured | Only GPT-6.1 Sol measured |
| MedScribe (Vals AI) | 86.5% | Not measured | Only GPT-6.1 Sol measured |
| Long context reasoning (AA-LCR) | 84.0% | 86.3% | Kimi K3.1 Pro |
| DTBench | 96.5% | Not measured | Only GPT-6.1 Sol measured |
| LMCA | 62.8% | Not measured | Only GPT-6.1 Sol measured |
| Furniture assembly | 80.0% | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text | 1446 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: instruction following | 1467 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: creative writing | 1425 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Vision | 1288 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: English | 1453 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: non-English | 1436 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: Chinese | 1491 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: Japanese | 1414 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: Korean | 1440 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: French | 1464 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: Spanish | 1442 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: Russian | 1457 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: multi-turn | 1442 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: longer queries | 1463 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: writing and language | 1442 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: entertainment and media | 1428 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Vision: English | 1274 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Vision: reading text | 1289 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Vision: creative writing | 1301 | Not measured | Only GPT-6.1 Sol measured |
| MultiChallenge | 82.0% | Not measured | Only GPT-6.1 Sol measured |
| EQ-Bench 4 | 1272 | Not measured | Only GPT-6.1 Sol measured |
| Neither model has a result on the other 18 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6.1 Sol | Kimi K3.1 Pro | 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
Same cost
Repository review
50K input + 3K output tokens
Same cost
Agent loop
200K input + 10K output tokens
Same cost
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 | OpenAI GPT-6.1 Sol | MoonshotAI Kimi K3.1 Pro |
|---|---|---|
| Maker | OpenAI | Moonshot AI |
| Weights | No public weights listed | No public weights listed |
| Released | September 29, 2026 | October 23, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $2.00 |
| Output $/Mtok | $10.00 | $10.00 |
| Coding index | 82.3 | 82.2 |
| Independent measurements behind it | 5 | 4 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-6.1 Sol better than Kimi K3.1 Pro for coding?
GPT-6.1 Sol and Kimi K3.1 Pro are level for coding, 82.3 against 82.2 on the Vibe Coding Index, so price and context decide. Pick Kimi K3.1 Pro for work measured by Terminal-Bench 4 (Vals AI) or SciCode, where it leads. Pick GPT-6.1 Sol for a larger context window (1.05M against 1.05M tokens) and work measured by LiveBench coding or LMArena WebDev, where it leads.
Which is cheaper, GPT-6.1 Sol or Kimi K3.1 Pro?
GPT-6.1 Sol costs $2.00 per million input tokens and $10.00 per million output tokens; Kimi K3.1 Pro costs $2.00 and $10.00. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-6.1 Sol or Kimi K3.1 Pro?
GPT-6.1 Sol, with 1.05M tokens against 1.05M.
How many benchmarks is the GPT-6.1 Sol vs Kimi K3.1 Pro comparison based on?
34 benchmarks have a result for both models as of October 29, 2026. GPT-6.1 Sol's coding index rests on 5 independent benchmarks and Kimi K3.1 Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.