GPT-6.1 Sol vs Kimi K3
GPT-6.1 Sol leads Kimi K3 on coding, 82.4 to 62.3 on the Vibe Coding Index, and GPT-6.1 Sol costs 1.5x less per output token ($10.00 vs $15.00 per million). Updated October 22, 2026; 84 benchmarks have a result for both.
GPT-6.1 Sol or Kimi K3: which to pick
Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 62.3 for Kimi K3, though on 5 benchmarks against 6.
Pick Kimi K3 for work measured by SWE-bench Multimodal (Vals AI) or CyberBench (Vals AI), where it leads.
- Shared results
- 84
- GPT-6.1 Sol only
- 14
- Kimi K3 only
- 33
- 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
GPT-6.1 Sol
GPT-6.1 Sol scores 82.4 against 62.3.
5 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-6.1 Sol
GPT-6.1 Sol leads, 51.8 against 43.6.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Kimi K3 has a AA Agentic Index result, 50.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Kimi K3 has a GPQA Diamond result, 92.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Kimi K3 has a MMLU Pro result, 88.0%.
Directional only
Web design
Design Arena: websites
Kimi K3
Kimi K3 leads, 1334 against 1321.
Same board, both measured
General
Vals Index
GPT-6.1 Sol
GPT-6.1 Sol leads, 63.9% against 53.0%.
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
GPT-6.1 Sol
GPT-6.1 Sol $0.0070, Kimi K3 $0.011 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Kimi K3 has the number, $0.81.
Directional only
At a glance
- Coding index
- GPT-6.1 Sol 82.4 from 5 benchmarks, Kimi K3 62.3 from 6 benchmarks.
- Widest category
- Coding, 18.0 points apart on average over 17 shared benchmarks.
- Widest single gap
- LiveBench browser: GPT-6.1 Sol 88.0% against Kimi K3 16.0%, 72.0 points apart on a 0 to 100 scale.
- Output price
- GPT-6.1 Sol $10.00 against Kimi K3 $15.00 per million output tokens, 1.5x apart.
- Context window
- GPT-6.1 Sol takes 1.05M tokens, Kimi K3 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 | Ties |
|---|---|---|---|---|
| Coding | 12 | 5 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 9 | 5 | ||
| Reasoning | 7 | 3 | ||
| Math | 5 | 1 | ||
| Knowledge | 1 | 5 | ||
| Web design | 3 | 4 | ||
| General | 5 | 17 | ||
| All shared boards | 44 | 40 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index125
| Benchmark | GPT-6.1 Sol | Kimi K3 | Leader |
|---|---|---|---|
| LiveBench coding | 96.0% | 59.3% | GPT-6.1 Sol |
| LMArena WebDev | 1753 | 1655 | GPT-6.1 Sol |
| AA Coding Index | Not measured | 76.2 | Only Kimi K3 measured |
| LiveCodeBench (Vals AI) | Not measured | 87.2% | Only Kimi K3 measured |
| SWE-bench Verified (Vals AI) | Not measured | 93.4% | Only Kimi K3 measured |
| Terminal-Bench 4 (Vals AI) | 55.0% | 17.2% | GPT-6.1 Sol |
| Vibe Code Bench (Vals AI) | 88.9% | 85.0% | GPT-6.1 Sol |
| Code migration (Vals AI) | 65.1% | 16.1% | GPT-6.1 Sol |
| ProgramBench (Vals AI) | 3.0% | 2.0% | GPT-6.1 Sol |
| IOI (Vals AI) | 96.9% | 48.9% | GPT-6.1 Sol |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 80.9% | Only Kimi K3 measured |
| SWE-bench Multimodal (Vals AI) | 43.5% | 44.2% | Kimi K3 |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 18.2% | Only Kimi K3 measured |
| CyberBench (Vals AI) | 39.3% | 75.2% | Kimi K3 |
| SciCode | 55.8% | 59.5% | Kimi K3 |
| FrontierCode | 50.2% | 44.2% | GPT-6.1 Sol |
| FrontierSWE | Not measured | 25.9% | Only Kimi K3 measured |
| WeirdML | Not measured | 82.6% | Only Kimi K3 measured |
| ALE-Bench | 2743.8 | 1524.5 | GPT-6.1 Sol |
| LMArena Text: coding | 1478 | 1508 | Kimi K3 |
| LMArena Text: software and IT | 1476 | 1499 | Kimi K3 |
| LMArena WebDev: React | 1754 | 1670 | GPT-6.1 Sol |
| LMArena WebDev: HTML | 1800 | 1644 | GPT-6.1 Sol |
| LMArena WebDev: from an image | 1702 | 1579 | GPT-6.1 Sol |
| SciCode | 9.2% | Not measured | Only GPT-6.1 Sol measured |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-6.1 Sol | Kimi K3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 51.8 | 43.6 | GPT-6.1 Sol |
| Epoch Capabilities Index | 168.4 | 157.9 | GPT-6.1 Sol |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index95
| Benchmark | GPT-6.1 Sol | Kimi K3 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 50.0 | Only Kimi K3 measured |
| Design Arena: agents building web apps | 1306 | 1295 | GPT-6.1 Sol |
| Design Arena: agents building full-stack apps | Not measured | 1315 | Only Kimi K3 measured |
| Design Arena: agents building mobile apps | 1213 | 1269 | Kimi K3 |
| Design Arena: agents building Android apps | Not measured | 1253 | Only Kimi K3 measured |
| Design Arena: agents building Godot games | Not measured | 1223 | Only Kimi K3 measured |
| Design Arena: agents building games | Not measured | 1252 | Only Kimi K3 measured |
| Design Arena: HTML slides | Not measured | 1206 | Only Kimi K3 measured |
| Design Arena: PowerPoint slides | Not measured | 1247 | Only Kimi K3 measured |
| Design Arena: spreadsheets | 1259 | 1070 | GPT-6.1 Sol |
| LiveBench research | 83.5% | 79.0% | GPT-6.1 Sol |
| LiveBench browser | 88.0% | 16.0% | GPT-6.1 Sol |
| LiveBench long agentic | 73.0% | 42.8% | GPT-6.1 Sol |
| SREBench (Vals AI) | 50.8% | Not measured | Only GPT-6.1 Sol measured |
| Finance Agent (Vals AI) | 52.0% | 53.1% | Kimi K3 |
| Tax Agent Bench (Vals AI) | 21.8% | 33.4% | Kimi K3 |
| Legal Research Bench (Vals AI) | 38.5% | 46.1% | Kimi K3 |
| Harvey's Legal Agent Benchmark (Vals AI) | 6.3% | 12.9% | Kimi K3 |
| Excel Modeling Benchmark (Vals AI) | 70.8% | 66.7% | GPT-6.1 Sol |
| BioMysteryBench (Vals AI) | 79.6% | 72.6% | GPT-6.1 Sol |
| Terminal-Bench-Science (Vals AI) | 52.9% | 1.4% | GPT-6.1 Sol |
| Vals Science Index | 59.6% | Not measured | Only GPT-6.1 Sol measured |
| Time Horizon Index (Vals AI) | Not measured | 10.5% | Only Kimi K3 measured |
| Robo-bench (Vals AI) | 28.3% | Not measured | Only GPT-6.1 Sol measured |
| APEX-Agents | 60.0% | 47.8% | GPT-6.1 Sol |
| PostTrainBench | Not measured | 32.0% | Only Kimi K3 measured |
| SpireClimb | 24.7% | Not measured | Only GPT-6.1 Sol measured |
| Vending-Bench 2 | Not measured | $5,165 | Only Kimi K3 measured |
| Neither model has a result on the other 13 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index73
| Benchmark | GPT-6.1 Sol | Kimi K3 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 92.9% | Only Kimi K3 measured |
| LiveBench reasoning | 92.6% | 90.7% | GPT-6.1 Sol |
| MysteryMechanism (Vals AI) | 46.4% | Not measured | Only GPT-6.1 Sol measured |
| MMMU Pro (Vals AI) | Not measured | 88.2% | Only Kimi K3 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 93.5% | Only Kimi K3 measured |
| Humanity's Last Exam (Artificial Analysis run) | 52.9% | 46.9% | GPT-6.1 Sol |
| GPQA Diamond (Epoch AI run) | 95.4% | 93.1% | GPT-6.1 Sol |
| ARC-AGI | 98.5% | 94.5% | GPT-6.1 Sol |
| ARC-AGI-2 | 94.2% | 60.4% | GPT-6.1 Sol |
| SimpleBench | Not measured | 60.7% | Only Kimi K3 measured |
| Chess puzzles | 68.0% | 37.0% | GPT-6.1 Sol |
| Mystery game puzzles | 80.0% | 26.0% | GPT-6.1 Sol |
| EBR-bench | 54.3% | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: hard prompts | 1463 | 1495 | Kimi K3 |
| LMArena Text: expert | 1489 | 1520 | Kimi K3 |
| LMArena Text: hard prompts in English | 1465 | 1496 | Kimi K3 |
| 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 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | GPT-6.1 Sol | Kimi K3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 97.2% | GPT-6.1 Sol |
| FrontierMath, tiers 1 to 3 | 93.7% | 72.2% | GPT-6.1 Sol |
| FrontierMath, tier 4 | 100.0% | 39.0% | GPT-6.1 Sol |
| ProofBench | 99.0% | 87.0% | GPT-6.1 Sol |
| LMArena Text: math | 1489 | 1494 | Kimi K3 |
| LMArena Text: mathematical work | 1513 | 1505 | GPT-6.1 Sol |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | GPT-6.1 Sol | Kimi K3 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 88.0% | Only Kimi K3 measured |
| LegalBench (Vals AI) | Not measured | 86.2% | Only Kimi K3 measured |
| CorpFin (Vals AI) | Not measured | 71.6% | Only Kimi K3 measured |
| TaxEval (Vals AI) | Not measured | 75.7% | Only Kimi K3 measured |
| MortgageTax (Vals AI) | Not measured | 66.3% | Only Kimi K3 measured |
| MedCode (Vals AI) | 48.8% | 49.4% | Kimi K3 |
| SimpleQA Verified | 73.9% | 50.6% | GPT-6.1 Sol |
| LMArena Text: science | 1444 | 1508 | Kimi K3 |
| LMArena Text: medicine and healthcare | 1433 | 1489 | Kimi K3 |
| LMArena Text: legal and government | 1471 | 1503 | Kimi K3 |
| LMArena Text: business and finance | 1445 | 1470 | Kimi K3 |
| FACTS Benchmark Suite | 75.3% | Not measured | Only GPT-6.1 Sol measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index34
| Benchmark | GPT-6.1 Sol | Kimi K3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1321 | 1334 | Kimi K3 |
| Design Arena: UI components | 1317 | 1341 | Kimi K3 |
| Design Arena: game dev | 1389 | 1358 | GPT-6.1 Sol |
| Design Arena: data viz | 1281 | 1351 | Kimi K3 |
| Design Arena: 3D | 1460 | 1387 | GPT-6.1 Sol |
| Design Arena: all code categories | 1345 | 1360 | Kimi K3 |
| Design Arena: SVG | Not measured | 1302 | Only Kimi K3 measured |
| LiveBench design | 82.1% | 77.2% | 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 index517
| Benchmark | GPT-6.1 Sol | Kimi K3 | Leader |
|---|---|---|---|
| Vals Index | 63.9% | 53.0% | GPT-6.1 Sol |
| LiveBench data analysis | 82.7% | 78.7% | GPT-6.1 Sol |
| Public Benefits Bench (Vals AI) | 59.3% | 68.2% | Kimi K3 |
| SAGE (Vals AI) | 46.5% | 52.8% | Kimi K3 |
| MedScribe (Vals AI) | 86.5% | 88.0% | Kimi K3 |
| Vals Multimodal Index | Not measured | 73.4% | Only Kimi K3 measured |
| Long context reasoning (AA-LCR) | 84.0% | 88.7% | Kimi K3 |
| DTBench | 96.5% | 91.2% | GPT-6.1 Sol |
| LMCA | 62.8% | 52.7% | GPT-6.1 Sol |
| Surface Evolver Bench | Not measured | 95.0% | Only Kimi K3 measured |
| Furniture assembly | 80.0% | 34.2% | GPT-6.1 Sol |
| LMArena Text | 1443 | 1476 | Kimi K3 |
| LMArena Text: instruction following | 1466 | 1485 | Kimi K3 |
| LMArena Text: creative writing | 1425 | 1457 | Kimi K3 |
| LMArena Vision | 1288 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: English | 1450 | 1481 | Kimi K3 |
| LMArena Text: non-English | 1433 | 1466 | Kimi K3 |
| LMArena Text: Chinese | 1487 | 1529 | Kimi K3 |
| LMArena Text: German | Not measured | 1490 | Only Kimi K3 measured |
| LMArena Text: Japanese | Not measured | 1494 | Only Kimi K3 measured |
| LMArena Text: Korean | Not measured | 1460 | Only Kimi K3 measured |
| LMArena Text: French | 1460 | 1492 | Kimi K3 |
| LMArena Text: Spanish | 1439 | 1472 | Kimi K3 |
| LMArena Text: Russian | 1457 | 1485 | Kimi K3 |
| LMArena Text: Polish | Not measured | 1458 | Only Kimi K3 measured |
| LMArena Text: multi-turn | 1442 | 1489 | Kimi K3 |
| LMArena Text: longer queries | 1458 | 1494 | Kimi K3 |
| LMArena Text: writing and language | 1444 | 1471 | Kimi K3 |
| LMArena Text: entertainment and media | 1426 | 1453 | Kimi K3 |
| 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 |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6.1 Sol | Kimi K3 | 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
GPT-6.1 Sol costs less
Repository review
50K input + 3K output tokens
GPT-6.1 Sol costs less
Agent loop
200K input + 10K output tokens
GPT-6.1 Sol 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 | OpenAI GPT-6.1 Sol | MoonshotAI Kimi K3 |
|---|---|---|
| Maker | OpenAI | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | September 29, 2026 | July 16, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $3.00 |
| Output $/Mtok | $10.00 | $15.00 |
| Coding index | 82.4 | 62.3 |
| Independent measurements behind it | 5 | 6 |
| Cost per solved task | Not computable | $0.81 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-6.1 Sol better than Kimi K3 for coding?
Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 62.3 for Kimi K3, though on 5 benchmarks against 6. Pick Kimi K3 for work measured by SWE-bench Multimodal (Vals AI) or CyberBench (Vals AI), where it leads.
Which is cheaper, GPT-6.1 Sol or Kimi K3?
GPT-6.1 Sol costs $2.00 per million input tokens and $10.00 per million output tokens; Kimi K3 costs $3.00 and $15.00. Cost per solved task is known for Kimi K3 only.
Which has the bigger context window, GPT-6.1 Sol or Kimi K3?
GPT-6.1 Sol, with 1.05M tokens against 1.05M.
How many benchmarks is the GPT-6.1 Sol vs Kimi K3 comparison based on?
84 benchmarks have a result for both models as of October 22, 2026. GPT-6.1 Sol's coding index rests on 5 independent benchmarks and Kimi K3's on 6. Where only one model has a result, the page says so instead of naming a winner.