GPT-5.6 Sol vs Kimi K3
GPT-5.6 Sol leads Kimi K3 on coding, 73.5 to 62.3 on the Vibe Coding Index, and Kimi K3 costs 1.3x less per output token ($15.00 vs $20.00 per million). Updated October 21, 2026; 112 benchmarks have a result for both.
GPT-5.6 Sol or Kimi K3: which to pick
Pick GPT-5.6 Sol for coding: it scores 73.5 on the Vibe Coding Index against 62.3 for Kimi K3.
Pick Kimi K3 for output tokens 1.3x cheaper ($15.00 vs $20.00 per million) and a lower cost per solved task ($0.81 against $1.20).
- Shared results
- 112
- GPT-5.6 Sol only
- 27
- Kimi K3 only
- 5
- 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-5.6 Sol
GPT-5.6 Sol scores 73.5 against 62.3.
6 benchmarks behind each score
Intelligence
AA Intelligence Index
GPT-5.6 Sol
GPT-5.6 Sol leads, 47.0 against 43.6.
Same board, both measured
Agentic work
AA Agentic Index
GPT-5.6 Sol
GPT-5.6 Sol leads, 50.2 against 50.0.
Same board, both measured
Reasoning
GPQA Diamond
GPT-5.6 Sol
GPT-5.6 Sol leads, 95.2% against 92.9%.
Same board, both measured
Knowledge
MMLU Pro
GPT-5.6 Sol
GPT-5.6 Sol leads, 89.1% against 88.0%.
Same board, both measured
Web design
Design Arena: websites
Kimi K3
Kimi K3 leads, 1335 against 1321.
Same board, both measured
General
Vals Index
No call
Only Kimi K3 has a Vals Index result, 53.0%.
Directional only
Long documents
Listed context window
GPT-5.6 Sol
GPT-5.6 Sol takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K3
GPT-5.6 Sol $0.014, Kimi K3 $0.011 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K3
GPT-5.6 Sol $1.20, Kimi K3 $0.81.
Published attempt cost and pass rate
At a glance
- Coding index
- GPT-5.6 Sol 73.5 from 6 benchmarks, Kimi K3 62.3 from 6 benchmarks.
- Widest category
- Math, 12.1 points apart on average over 6 shared benchmarks.
- Widest single gap
- LiveBench browser: GPT-5.6 Sol 88.0% against Kimi K3 16.0%, 72.0 points apart on a 0 to 100 scale.
- Output price
- GPT-5.6 Sol $20.00 against Kimi K3 $15.00 per million output tokens, 1.3x apart.
- Context window
- GPT-5.6 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-5.6 Sol | Bars | Kimi K3 | Ties |
|---|---|---|---|---|
| Coding | 14 | 9 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 13 | 8 | ||
| Reasoning | 11 | 3 | ||
| Math | 3 | 3 | ||
| Knowledge | 4 | 7 | ||
| Web design | 3 | 5 | ||
| General | 5 | 22 | ||
| All shared boards | 55 | 57 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index149
| Benchmark | GPT-5.6 Sol | Kimi K3 | Leader |
|---|---|---|---|
| LiveBench coding | 89.7% | 59.3% | GPT-5.6 Sol |
| LMArena WebDev | 1616 | 1655 | Kimi K3 |
| AA Coding Index | 77.4 | 76.2 | GPT-5.6 Sol |
| LiveCodeBench (Vals AI) | 82.6% | 87.2% | Kimi K3 |
| SWE-bench Verified (Vals AI) | 96.2% | 93.4% | GPT-5.6 Sol |
| Terminal-Bench 4 (Vals AI) | 37.9% | 17.2% | GPT-5.6 Sol |
| Vibe Code Bench (Vals AI) | 80.5% | 85.0% | Kimi K3 |
| Code migration (Vals AI) | 52.9% | 16.1% | GPT-5.6 Sol |
| ProgramBench (Vals AI) | 1.5% | 2.0% | Kimi K3 |
| IOI (Vals AI) | 91.2% | 48.9% | GPT-5.6 Sol |
| Terminal-Bench 2.1 (Vals AI) | 85.8% | 80.9% | GPT-5.6 Sol |
| SWE-bench Multimodal (Vals AI) | Not measured | 44.2% | Only Kimi K3 measured |
| Vibe Code Bench 1-100 (Vals AI) | 20.0% | 18.2% | GPT-5.6 Sol |
| SkillsBench (Vals AI) | 54.1% | Not measured | Only GPT-5.6 Sol measured |
| CyberBench (Vals AI) | 76.3% | 75.2% | GPT-5.6 Sol |
| SciCode | 57.8% | 59.5% | Kimi K3 |
| Terminal-Bench Hard (Artificial Analysis run) | 65.9% | Not measured | Only GPT-5.6 Sol measured |
| FrontierCode | 47.5% | 44.2% | GPT-5.6 Sol |
| FrontierSWE | 32.2% | 25.9% | GPT-5.6 Sol |
| GSO-Bench | 76.5% | Not measured | Only GPT-5.6 Sol measured |
| WeirdML | 88.8% | 82.6% | GPT-5.6 Sol |
| MirrorCode | 20.0% | Not measured | Only GPT-5.6 Sol measured |
| ALE-Bench | 2176.9 | 1524.5 | GPT-5.6 Sol |
| LMArena Text: coding | 1496 | 1508 | Kimi K3 |
| LMArena Text: software and IT | 1489 | 1499 | Kimi K3 |
| LMArena WebDev: React | 1620 | 1670 | Kimi K3 |
| LMArena WebDev: HTML | 1618 | 1644 | Kimi K3 |
| LMArena WebDev: from an image | 1609 | 1579 | GPT-5.6 Sol |
| SciCode | 10.8% | Not measured | Only GPT-5.6 Sol measured |
| Neither model has a result on the other 10 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-5.6 Sol | Kimi K3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 47.0 | 43.6 | GPT-5.6 Sol |
| Epoch Capabilities Index | 162.8 | 157.9 | GPT-5.6 Sol |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index138
| Benchmark | GPT-5.6 Sol | Kimi K3 | Leader |
|---|---|---|---|
| AA Agentic Index | 50.2 | 50.0 | GPT-5.6 Sol |
| Design Arena: agents building web apps | 1245 | 1295 | Kimi K3 |
| Design Arena: agents building full-stack apps | 1261 | 1315 | Kimi K3 |
| Design Arena: agents building mobile apps | 1248 | 1269 | Kimi K3 |
| Design Arena: agents building Android apps | 1239 | 1250 | Kimi K3 |
| Design Arena: agents building Godot games | 1260 | 1223 | GPT-5.6 Sol |
| Design Arena: agents building games | 1267 | 1252 | GPT-5.6 Sol |
| Design Arena: HTML slides | 1286 | 1256 | GPT-5.6 Sol |
| Design Arena: PowerPoint slides | 1241 | 1273 | Kimi K3 |
| Design Arena: spreadsheets | Not measured | 1058 | Only Kimi K3 measured |
| LiveBench research | 54.5% | 79.0% | Kimi K3 |
| LiveBench browser | 88.0% | 16.0% | GPT-5.6 Sol |
| LiveBench long agentic | 48.5% | 42.8% | GPT-5.6 Sol |
| SREBench (Vals AI) | 30.5% | Not measured | Only GPT-5.6 Sol measured |
| Finance Agent (Vals AI) | 53.8% | 53.1% | GPT-5.6 Sol |
| Tax Agent Bench (Vals AI) | 31.1% | 33.4% | Kimi K3 |
| Legal Research Bench (Vals AI) | 48.1% | 46.1% | GPT-5.6 Sol |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 12.9% | Only Kimi K3 measured |
| Excel Modeling Benchmark (Vals AI) | 72.3% | 66.7% | GPT-5.6 Sol |
| BioMysteryBench (Vals AI) | 71.1% | 72.6% | Kimi K3 |
| Terminal-Bench-Science (Vals AI) | 20.0% | 1.4% | GPT-5.6 Sol |
| Vals Science Index | 41.5% | Not measured | Only GPT-5.6 Sol measured |
| Time Horizon Index (Vals AI) | 23.8% | 10.5% | GPT-5.6 Sol |
| CUA-bench (Vals AI) | 8.3% | Not measured | Only GPT-5.6 Sol measured |
| τ²-Bench Telecom | 85.1% | Not measured | Only GPT-5.6 Sol measured |
| APEX-Agents | Not measured | 47.8% | Only Kimi K3 measured |
| OSWorld 2.0 | 27.3% | Not measured | Only GPT-5.6 Sol measured |
| BALROG | 60.0% | Not measured | Only GPT-5.6 Sol measured |
| PostTrainBench | 36.2% | 32.0% | GPT-5.6 Sol |
| Vending-Bench 2 | $9,619 | $5,165 | GPT-5.6 Sol |
| LMArena Search | 1261 | Not measured | Only GPT-5.6 Sol measured |
| Neither model has a result on the other 10 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index113
| Benchmark | GPT-5.6 Sol | Kimi K3 | Leader |
|---|---|---|---|
| GPQA Diamond | 95.2% | 92.9% | GPT-5.6 Sol |
| LiveBench reasoning | 91.7% | 90.7% | GPT-5.6 Sol |
| MysteryMechanism (Vals AI) | 33.3% | Not measured | Only GPT-5.6 Sol measured |
| MMMU Pro (Vals AI) | 88.8% | 88.2% | GPT-5.6 Sol |
| GPQA Diamond (Artificial Analysis run) | 94.1% | 93.5% | GPT-5.6 Sol |
| Humanity's Last Exam (Artificial Analysis run) | 49.5% | 46.9% | GPT-5.6 Sol |
| GPQA Diamond (Epoch AI run) | 93.5% | 93.1% | GPT-5.6 Sol |
| ARC-AGI | 97.5% | 94.5% | GPT-5.6 Sol |
| ARC-AGI-2 | 92.5% | 60.4% | GPT-5.6 Sol |
| SimpleBench | 64.8% | 60.7% | GPT-5.6 Sol |
| Chess puzzles | 59.0% | 37.0% | GPT-5.6 Sol |
| Mystery game puzzles | 58.0% | 26.0% | GPT-5.6 Sol |
| EBR-bench | 44.8% | Not measured | Only GPT-5.6 Sol measured |
| LMArena Text: hard prompts | 1483 | 1495 | Kimi K3 |
| LMArena Text: expert | 1517 | 1520 | Kimi K3 |
| LMArena Text: hard prompts in English | 1477 | 1496 | Kimi K3 |
| LMArena Vision: diagrams | 1305 | Not measured | Only GPT-5.6 Sol measured |
| LMArena Vision: homework | 1305 | Not measured | Only GPT-5.6 Sol measured |
| Kagi LLM Benchmark | 67.0% | Not measured | Only GPT-5.6 Sol measured |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | GPT-5.6 Sol | Kimi K3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 97.2% | GPT-5.6 Sol |
| FrontierMath, tiers 1 to 3 | 89.1% | 72.2% | GPT-5.6 Sol |
| FrontierMath, tier 4 | 82.9% | 39.0% | GPT-5.6 Sol |
| ProofBench | 83.0% | 87.0% | Kimi K3 |
| LMArena Text: math | 1473 | 1494 | Kimi K3 |
| LMArena Text: mathematical work | 1496 | 1505 | Kimi K3 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index47
| Benchmark | GPT-5.6 Sol | Kimi K3 | Leader |
|---|---|---|---|
| MMLU Pro | 89.1% | 88.0% | GPT-5.6 Sol |
| LegalBench (Vals AI) | 87.0% | 86.2% | GPT-5.6 Sol |
| CorpFin (Vals AI) | 64.4% | 71.6% | Kimi K3 |
| TaxEval (Vals AI) | 74.8% | 75.7% | Kimi K3 |
| MortgageTax (Vals AI) | 67.3% | 66.3% | GPT-5.6 Sol |
| MedCode (Vals AI) | 44.0% | 49.4% | Kimi K3 |
| SimpleQA Verified | 69.7% | 50.6% | GPT-5.6 Sol |
| LMArena Text: science | 1455 | 1508 | Kimi K3 |
| LMArena Text: medicine and healthcare | 1431 | 1489 | Kimi K3 |
| LMArena Text: legal and government | 1476 | 1503 | Kimi K3 |
| LMArena Text: business and finance | 1457 | 1470 | Kimi K3 |
| FACTS Benchmark Suite | 52.4% | Not measured | Only GPT-5.6 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 index35
| Benchmark | GPT-5.6 Sol | Kimi K3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1321 | 1335 | Kimi K3 |
| Design Arena: UI components | 1336 | 1344 | Kimi K3 |
| Design Arena: game dev | 1368 | 1359 | GPT-5.6 Sol |
| Design Arena: data viz | 1322 | 1351 | Kimi K3 |
| Design Arena: 3D | 1386 | 1388 | Kimi K3 |
| Design Arena: all code categories | 1341 | 1360 | Kimi K3 |
| Design Arena: SVG | 1316 | 1302 | GPT-5.6 Sol |
| Design Arena: ASCII art | 1304 | Not measured | Only GPT-5.6 Sol measured |
| LiveBench design | 81.6% | 77.2% | GPT-5.6 Sol |
GeneralLike-for-likePublic boards, shown as published, kept out of the index522
| Benchmark | GPT-5.6 Sol | Kimi K3 | Leader |
|---|---|---|---|
| Vals Index | Not measured | 53.0% | Only Kimi K3 measured |
| LiveBench data analysis | 79.8% | 78.7% | GPT-5.6 Sol |
| Public Benefits Bench (Vals AI) | 66.5% | 68.2% | Kimi K3 |
| SAGE (Vals AI) | 52.6% | 52.8% | Kimi K3 |
| MedScribe (Vals AI) | 85.2% | 88.0% | Kimi K3 |
| Vals Multimodal Index | 72.6% | 73.4% | Kimi K3 |
| IFBench | 72.7% | Not measured | Only GPT-5.6 Sol measured |
| Long context reasoning (AA-LCR) | 84.0% | 88.7% | Kimi K3 |
| DTBench | 95.7% | 91.2% | GPT-5.6 Sol |
| LMCA | 58.5% | 52.7% | GPT-5.6 Sol |
| Surface Evolver Bench | 93.1% | 95.0% | Kimi K3 |
| Furniture assembly | 56.7% | 34.2% | GPT-5.6 Sol |
| LMArena Text | 1457 | 1476 | Kimi K3 |
| LMArena Text: instruction following | 1483 | 1485 | Kimi K3 |
| LMArena Text: creative writing | 1449 | 1457 | Kimi K3 |
| LMArena Vision | 1281 | Not measured | Only GPT-5.6 Sol measured |
| LMArena Text: English | 1457 | 1481 | Kimi K3 |
| LMArena Text: non-English | 1451 | 1466 | Kimi K3 |
| LMArena Text: Chinese | 1525 | 1529 | Kimi K3 |
| LMArena Text: German | 1476 | 1490 | Kimi K3 |
| LMArena Text: Japanese | 1472 | 1494 | Kimi K3 |
| LMArena Text: Korean | 1442 | 1460 | Kimi K3 |
| LMArena Text: French | 1472 | 1492 | Kimi K3 |
| LMArena Text: Spanish | 1443 | 1472 | Kimi K3 |
| LMArena Text: Russian | 1471 | 1485 | Kimi K3 |
| LMArena Text: Polish | 1459 | 1458 | GPT-5.6 Sol |
| LMArena Text: multi-turn | 1461 | 1489 | Kimi K3 |
| LMArena Text: longer queries | 1481 | 1494 | Kimi K3 |
| LMArena Text: writing and language | 1462 | 1471 | Kimi K3 |
| LMArena Text: entertainment and media | 1450 | 1453 | Kimi K3 |
| LMArena Vision: English | 1280 | Not measured | Only GPT-5.6 Sol measured |
| LMArena Vision: Chinese | 1313 | Not measured | Only GPT-5.6 Sol measured |
| LMArena Vision: reading text | 1290 | Not measured | Only GPT-5.6 Sol measured |
| LMArena Vision: humor | 1246 | Not measured | Only GPT-5.6 Sol measured |
| LMArena Vision: creative writing | 1283 | Not measured | Only GPT-5.6 Sol measured |
| LMArena Document | 1483 | Not measured | Only GPT-5.6 Sol 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 | GPT-5.6 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
Kimi K3 costs less
Repository review
50K input + 3K output tokens
Kimi K3 costs less
Agent loop
200K input + 10K output tokens
Kimi K3 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-5.6 Sol | MoonshotAI Kimi K3 |
|---|---|---|
| Maker | OpenAI | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | July 9, 2026 | July 16, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $4.00 | $3.00 |
| Output $/Mtok | $20.00 | $15.00 |
| Coding index | 73.5 | 62.3 |
| Independent measurements behind it | 6 | 6 |
| Cost per solved task | $1.20 | $0.81 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.6 Sol better than Kimi K3 for coding?
Pick GPT-5.6 Sol for coding: it scores 73.5 on the Vibe Coding Index against 62.3 for Kimi K3. Pick Kimi K3 for output tokens 1.3x cheaper ($15.00 vs $20.00 per million) and a lower cost per solved task ($0.81 against $1.20).
Which is cheaper, GPT-5.6 Sol or Kimi K3?
GPT-5.6 Sol costs $4.00 per million input tokens and $20.00 per million output tokens; Kimi K3 costs $3.00 and $15.00. Per solved SWE-bench Verified task, GPT-5.6 Sol costs $1.20 and Kimi K3 $0.81.
Which has the bigger context window, GPT-5.6 Sol or Kimi K3?
GPT-5.6 Sol, with 1.05M tokens against 1.05M.
How many benchmarks is the GPT-5.6 Sol vs Kimi K3 comparison based on?
112 benchmarks have a result for both models as of October 21, 2026. GPT-5.6 Sol's coding index rests on 6 independent benchmarks and Kimi K3's on 6. Where only one model has a result, the page says so instead of naming a winner.