GPT-6 Sol vs Kimi K2.6
GPT-6 Sol leads Kimi K2.6 on coding, 76.0 to 52.1 on the Vibe Coding Index, and Kimi K2.6 costs 2.5x less per output token ($4.00 vs $10.00 per million). Updated October 21, 2026; 80 benchmarks have a result for both.
GPT-6 Sol or Kimi K2.6: which to pick
Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 52.1 for Kimi K2.6.
Pick Kimi K2.6 for output tokens 2.5x cheaper ($4.00 vs $10.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 80
- GPT-6 Sol only
- 21
- Kimi K2.6 only
- 29
- 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 Sol
GPT-6 Sol scores 76.0 against 52.1.
5 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-6 Sol
GPT-6 Sol leads, 47.6 against 27.0.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Kimi K2.6 has a AA Agentic Index result, 20.5.
Directional only
Reasoning
GPQA Diamond
No call
Only Kimi K2.6 has a GPQA Diamond result, 89.1%.
Directional only
Knowledge
MMLU Pro
No call
Only Kimi K2.6 has a MMLU Pro result, 87.6%.
Directional only
Web design
Design Arena: websites
GPT-6 Sol
GPT-6 Sol leads, 1292 against 1269.
Same board, both measured
Long documents
Listed context window
GPT-6 Sol
GPT-6 Sol takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K2.6
GPT-6 Sol $0.0070, Kimi K2.6 $0.0029 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Kimi K2.6 has the number, $0.35.
Directional only
At a glance
- Coding index
- GPT-6 Sol 76.0 from 5 benchmarks, Kimi K2.6 52.1 from 3 benchmarks.
- Widest category
- Math, 31.4 points apart on average over 6 shared benchmarks.
- Widest single gap
- ProofBench: GPT-6 Sol 83.0% against Kimi K2.6 16.0%, 67.0 points apart on a 0 to 100 scale.
- Output price
- GPT-6 Sol $10.00 against Kimi K2.6 $4.00 per million output tokens, 2.5x apart.
- Context window
- GPT-6 Sol takes 1.05M tokens, Kimi K2.6 262K.
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 Sol | Bars | Kimi K2.6 | Ties |
|---|---|---|---|---|
| Coding | 10 | 2 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 7 | 1 | ||
| Reasoning | 5 | 5 | ||
| Math | 4 | 2 | ||
| Knowledge | 2 | 4 | ||
| Web design | 8 | 0 | ||
| General | 5 | 22 | 1 tie | |
| All shared boards | 43 | 36 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index102
| Benchmark | GPT-6 Sol | Kimi K2.6 | Leader |
|---|---|---|---|
| LiveBench coding | 93.1% | Not measured | Only GPT-6 Sol measured |
| LMArena WebDev | 1683 | 1509 | GPT-6 Sol |
| AA Coding Index | Not measured | 61.8 | Only Kimi K2.6 measured |
| LiveCodeBench (Vals AI) | Not measured | 86.8% | Only Kimi K2.6 measured |
| SWE-bench Verified (Vals AI) | Not measured | 76.2% | Only Kimi K2.6 measured |
| Terminal-Bench 4 (Vals AI) | 44.4% | Not measured | Only GPT-6 Sol measured |
| Vibe Code Bench (Vals AI) | 87.8% | 37.9% | GPT-6 Sol |
| Code migration (Vals AI) | 57.2% | 27.8% | GPT-6 Sol |
| ProgramBench (Vals AI) | 2.0% | 0.0% | GPT-6 Sol |
| IOI (Vals AI) | 82.6% | Not measured | Only GPT-6 Sol measured |
| Terminal-Bench 2.1 (Vals AI) | 83.2% | 53.6% | GPT-6 Sol |
| CyberBench (Vals AI) | 78.0% | Not measured | Only GPT-6 Sol measured |
| SciCode | 57.6% | 51.5% | GPT-6 Sol |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 43.9% | Only Kimi K2.6 measured |
| FrontierCode | 49.3% | Not measured | Only GPT-6 Sol measured |
| WeirdML | Not measured | 55.9% | Only Kimi K2.6 measured |
| ALE-Bench | 2462.0 | 1092.7 | GPT-6 Sol |
| LMArena Text: coding | 1448 | 1489 | Kimi K2.6 |
| LMArena Text: software and IT | 1433 | 1484 | Kimi K2.6 |
| LMArena WebDev: React | 1685 | 1505 | GPT-6 Sol |
| LMArena WebDev: HTML | 1685 | 1485 | GPT-6 Sol |
| LMArena WebDev: from an image | 1660 | 1521 | GPT-6 Sol |
| Neither model has a result on the other 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-6 Sol | Kimi K2.6 | Leader |
|---|---|---|---|
| AA Intelligence Index | 47.6 | 27.0 | GPT-6 Sol |
| Epoch Capabilities Index | 163.7 | 150.9 | GPT-6 Sol |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | GPT-6 Sol | Kimi K2.6 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 20.5 | Only Kimi K2.6 measured |
| Design Arena: agents building web apps | 1231 | 1268 | Kimi K2.6 |
| Design Arena: agents building full-stack apps | 1238 | 1155 | GPT-6 Sol |
| Design Arena: agents building mobile apps | 1214 | 1157 | GPT-6 Sol |
| Design Arena: agents building Android apps | Not measured | 1160 | Only Kimi K2.6 measured |
| Design Arena: agents building Godot games | Not measured | 1120 | Only Kimi K2.6 measured |
| Design Arena: agents building games | Not measured | 1141 | Only Kimi K2.6 measured |
| Design Arena: HTML slides | Not measured | 1184 | Only Kimi K2.6 measured |
| Design Arena: PowerPoint slides | Not measured | 1128 | Only Kimi K2.6 measured |
| Design Arena: spreadsheets | Not measured | 1276 | Only Kimi K2.6 measured |
| LiveBench research | 69.3% | Not measured | Only GPT-6 Sol measured |
| LiveBench browser | 92.0% | Not measured | Only GPT-6 Sol measured |
| LiveBench long agentic | 66.9% | Not measured | Only GPT-6 Sol measured |
| SREBench (Vals AI) | 30.5% | Not measured | Only GPT-6 Sol measured |
| Finance Agent (Vals AI) | 49.0% | 44.9% | GPT-6 Sol |
| Tax Agent Bench (Vals AI) | 15.0% | 12.4% | GPT-6 Sol |
| Legal Research Bench (Vals AI) | 28.9% | 15.9% | GPT-6 Sol |
| Excel Modeling Benchmark (Vals AI) | 71.5% | 57.9% | GPT-6 Sol |
| BioMysteryBench (Vals AI) | 74.8% | Not measured | Only GPT-6 Sol measured |
| Terminal-Bench-Science (Vals AI) | 30.0% | Not measured | Only GPT-6 Sol measured |
| Vals Science Index | 45.0% | Not measured | Only GPT-6 Sol measured |
| τ²-Bench Telecom | Not measured | 95.9% | Only Kimi K2.6 measured |
| APEX-Agents | 54.3% | Not measured | Only GPT-6 Sol measured |
| OSWorld 2.0 | Not measured | 4.6% | Only Kimi K2.6 measured |
| SpireClimb | 7.5% | Not measured | Only GPT-6 Sol measured |
| Vending-Bench 2 | $14,428 | $6,205 | GPT-6 Sol |
| Neither model has a result on the other 15 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index55
| Benchmark | GPT-6 Sol | Kimi K2.6 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 89.1% | Only Kimi K2.6 measured |
| LiveBench reasoning | 88.7% | Not measured | Only GPT-6 Sol measured |
| MysteryMechanism (Vals AI) | 30.2% | Not measured | Only GPT-6 Sol measured |
| MMMU Pro (Vals AI) | Not measured | 86.3% | Only Kimi K2.6 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 91.1% | Only Kimi K2.6 measured |
| Humanity's Last Exam (Artificial Analysis run) | 47.9% | 37.5% | GPT-6 Sol |
| GPQA Diamond (Epoch AI run) | 94.3% | 90.8% | GPT-6 Sol |
| ARC-AGI | 95.5% | Not measured | Only GPT-6 Sol measured |
| ARC-AGI-2 | 89.6% | Not measured | Only GPT-6 Sol measured |
| Chess puzzles | 56.0% | 20.0% | GPT-6 Sol |
| Mystery game puzzles | 56.0% | 18.0% | GPT-6 Sol |
| EBR-bench | 53.3% | 2.4% | GPT-6 Sol |
| LMArena Text: hard prompts | 1422 | 1470 | Kimi K2.6 |
| LMArena Text: expert | 1437 | 1491 | Kimi K2.6 |
| LMArena Text: hard prompts in English | 1420 | 1471 | Kimi K2.6 |
| LMArena Vision: diagrams | 1270 | 1298 | Kimi K2.6 |
| LMArena Vision: homework | 1286 | 1310 | Kimi K2.6 |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | GPT-6 Sol | Kimi K2.6 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 96.1% | GPT-6 Sol |
| FrontierMath, tiers 1 to 3 | 89.8% | 57.2% | GPT-6 Sol |
| FrontierMath, tier 4 | 90.0% | 25.6% | GPT-6 Sol |
| ProofBench | 83.0% | 16.0% | GPT-6 Sol |
| LMArena Text: math | 1407 | 1474 | Kimi K2.6 |
| LMArena Text: mathematical work | 1424 | 1480 | Kimi K2.6 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | GPT-6 Sol | Kimi K2.6 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 87.6% | Only Kimi K2.6 measured |
| LegalBench (Vals AI) | Not measured | 84.7% | Only Kimi K2.6 measured |
| CaseLaw (Vals AI) | Not measured | 61.2% | Only Kimi K2.6 measured |
| CorpFin (Vals AI) | Not measured | 66.7% | Only Kimi K2.6 measured |
| TaxEval (Vals AI) | Not measured | 74.7% | Only Kimi K2.6 measured |
| MortgageTax (Vals AI) | Not measured | 65.8% | Only Kimi K2.6 measured |
| MedCode (Vals AI) | 47.1% | 40.1% | GPT-6 Sol |
| SimpleQA Verified | 60.7% | 34.9% | GPT-6 Sol |
| LMArena Text: science | 1389 | 1468 | Kimi K2.6 |
| LMArena Text: medicine and healthcare | 1366 | 1457 | Kimi K2.6 |
| LMArena Text: legal and government | 1396 | 1462 | Kimi K2.6 |
| LMArena Text: business and finance | 1380 | 1445 | Kimi K2.6 |
| FACTS Benchmark Suite | 72.5% | Not measured | Only GPT-6 Sol measured |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | GPT-6 Sol | Kimi K2.6 | Leader |
|---|---|---|---|
| Design Arena: websites | 1292 | 1269 | GPT-6 Sol |
| Design Arena: UI components | 1292 | 1266 | GPT-6 Sol |
| Design Arena: game dev | 1314 | 1251 | GPT-6 Sol |
| Design Arena: data viz | 1269 | 1249 | GPT-6 Sol |
| Design Arena: 3D | 1318 | 1268 | GPT-6 Sol |
| Design Arena: all code categories | 1301 | 1272 | GPT-6 Sol |
| Design Arena: SVG | 1316 | 1181 | GPT-6 Sol |
| Design Arena: ASCII art | 1225 | 1165 | GPT-6 Sol |
| LiveBench design | 82.2% | Not measured | Only GPT-6 Sol measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index522
| Benchmark | GPT-6 Sol | Kimi K2.6 | Leader |
|---|---|---|---|
| LiveBench data analysis | 81.2% | Not measured | Only GPT-6 Sol measured |
| Public Benefits Bench (Vals AI) | 56.6% | 56.6% | Tie |
| SAGE (Vals AI) | 44.8% | 50.2% | Kimi K2.6 |
| MedScribe (Vals AI) | 82.0% | 78.2% | GPT-6 Sol |
| Vals Multimodal Index | Not measured | 56.4% | Only Kimi K2.6 measured |
| IFBench | Not measured | 76.0% | Only Kimi K2.6 measured |
| Long context reasoning (AA-LCR) | 83.7% | 81.0% | GPT-6 Sol |
| DTBench | 97.3% | 90.9% | GPT-6 Sol |
| LMCA | 59.1% | 37.3% | GPT-6 Sol |
| Furniture assembly | 58.3% | 21.7% | GPT-6 Sol |
| ExploitBench | Not measured | 18.4% | Only Kimi K2.6 measured |
| LMArena Text | 1398 | 1455 | Kimi K2.6 |
| LMArena Text: instruction following | 1413 | 1451 | Kimi K2.6 |
| LMArena Text: creative writing | 1378 | 1434 | Kimi K2.6 |
| LMArena Vision | 1240 | 1282 | Kimi K2.6 |
| LMArena Text: English | 1396 | 1460 | Kimi K2.6 |
| LMArena Text: non-English | 1388 | 1446 | Kimi K2.6 |
| LMArena Text: Chinese | 1412 | 1520 | Kimi K2.6 |
| LMArena Text: German | 1379 | 1451 | Kimi K2.6 |
| LMArena Text: Japanese | 1377 | 1443 | Kimi K2.6 |
| LMArena Text: Korean | 1336 | 1427 | Kimi K2.6 |
| LMArena Text: French | 1399 | 1471 | Kimi K2.6 |
| LMArena Text: Spanish | 1387 | 1464 | Kimi K2.6 |
| LMArena Text: Russian | 1402 | 1446 | Kimi K2.6 |
| LMArena Text: Polish | 1372 | 1438 | Kimi K2.6 |
| LMArena Text: multi-turn | 1414 | 1453 | Kimi K2.6 |
| LMArena Text: longer queries | 1416 | 1468 | Kimi K2.6 |
| LMArena Text: writing and language | 1389 | 1439 | Kimi K2.6 |
| LMArena Text: entertainment and media | 1373 | 1428 | Kimi K2.6 |
| LMArena Vision: English | 1229 | 1287 | Kimi K2.6 |
| LMArena Vision: Chinese | Not measured | 1346 | Only Kimi K2.6 measured |
| LMArena Vision: reading text | 1258 | 1291 | Kimi K2.6 |
| LMArena Vision: humor | Not measured | 1280 | Only Kimi K2.6 measured |
| LMArena Vision: creative writing | 1219 | 1273 | Kimi K2.6 |
| LMArena Document | Not measured | 1451 | Only Kimi K2.6 measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6 Sol | Kimi K2.6 | 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 | OpenAI GPT-6 Sol | MoonshotAI Kimi K2.6 |
|---|---|---|
| Maker | OpenAI | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | September 22, 2026 | April 20, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $2.00 | $0.95 |
| Output $/Mtok | $10.00 | $4.00 |
| Coding index | 76.0 | 52.1 |
| Independent measurements behind it | 5 | 3 |
| Cost per solved task | Not computable | $0.35 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-6 Sol better than Kimi K2.6 for coding?
Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 52.1 for Kimi K2.6. Pick Kimi K2.6 for output tokens 2.5x cheaper ($4.00 vs $10.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, GPT-6 Sol or Kimi K2.6?
GPT-6 Sol costs $2.00 per million input tokens and $10.00 per million output tokens; Kimi K2.6 costs $0.95 and $4.00. Cost per solved task is known for Kimi K2.6 only.
Which has the bigger context window, GPT-6 Sol or Kimi K2.6?
GPT-6 Sol, with 1.05M tokens against 262K.
How many benchmarks is the GPT-6 Sol vs Kimi K2.6 comparison based on?
80 benchmarks have a result for both models as of October 21, 2026. GPT-6 Sol's coding index rests on 5 independent benchmarks and Kimi K2.6's on 3. Where only one model has a result, the page says so instead of naming a winner.