GPT-5.6 Terra vs Kimi K3
GPT-5.6 Terra leads Kimi K3 on coding, 63.9 to 62.3 on the Vibe Coding Index, and GPT-5.6 Terra costs 1.3x less per output token ($12.00 vs $15.00 per million). Updated October 22, 2026; 108 benchmarks have a result for both.
GPT-5.6 Terra or Kimi K3: which to pick
GPT-5.6 Terra and Kimi K3 are level for coding, 63.9 against 62.3 on the Vibe Coding Index, so price and context decide.
Pick Kimi K3 for work measured by LMArena WebDev or LiveCodeBench (Vals AI), where it leads. Pick GPT-5.6 Terra for output tokens 1.3x cheaper ($12.00 vs $15.00 per million) and a lower cost per solved task ($0.42 against $0.81).
- Shared results
- 108
- GPT-5.6 Terra only
- 19
- Kimi K3 only
- 9
- 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
No call
Level: 63.9 against 62.3, inside 2 points.
6 benchmarks behind each score
Intelligence
AA Intelligence Index
Kimi K3
Kimi K3 leads, 43.6 against 42.1.
Same board, both measured
Agentic work
AA Agentic Index
Kimi K3
Kimi K3 leads, 50.0 against 43.2.
Same board, both measured
Reasoning
GPQA Diamond
Kimi K3
Kimi K3 leads, 92.9% against 90.9%.
Same board, both measured
Knowledge
MMLU Pro
Kimi K3
Kimi K3 leads, 88.0% against 86.7%.
Same board, both measured
Web design
Design Arena: websites
Kimi K3
Kimi K3 leads, 1334 against 1268.
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 Terra
GPT-5.6 Terra takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.6 Terra
GPT-5.6 Terra $0.0080, Kimi K3 $0.011 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5.6 Terra
GPT-5.6 Terra $0.42, Kimi K3 $0.81.
Published attempt cost and pass rate
At a glance
- Coding index
- GPT-5.6 Terra 63.9 from 6 benchmarks, Kimi K3 62.3 from 6 benchmarks.
- Widest category
- Agentic work, 16.5 points apart on average over 18 shared benchmarks.
- Widest single gap
- LiveBench browser: GPT-5.6 Terra 84.0% against Kimi K3 16.0%, 68.0 points apart on a 0 to 100 scale.
- Output price
- GPT-5.6 Terra $12.00 against Kimi K3 $15.00 per million output tokens, 1.3x apart.
- Context window
- GPT-5.6 Terra 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 Terra | Bars | Kimi K3 | Ties |
|---|---|---|---|---|
| Coding | 7 | 15 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 6 | 12 | ||
| Reasoning | 5 | 9 | ||
| Math | 3 | 3 | ||
| Knowledge | 2 | 9 | ||
| Web design | 0 | 8 | ||
| General | 4 | 23 | ||
| All shared boards | 28 | 80 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index715
| Benchmark | GPT-5.6 Terra | Kimi K3 | Leader |
|---|---|---|---|
| LiveBench coding | 86.2% | 59.3% | GPT-5.6 Terra |
| LMArena WebDev | 1522 | 1655 | Kimi K3 |
| AA Coding Index | 76.7 | 76.2 | GPT-5.6 Terra |
| LiveCodeBench (Vals AI) | 85.9% | 87.2% | Kimi K3 |
| SWE-bench Verified (Vals AI) | 95.4% | 93.4% | GPT-5.6 Terra |
| Terminal-Bench 4 (Vals AI) | 22.7% | 17.2% | GPT-5.6 Terra |
| Vibe Code Bench (Vals AI) | 74.6% | 85.0% | Kimi K3 |
| Code migration (Vals AI) | 47.8% | 16.1% | GPT-5.6 Terra |
| ProgramBench (Vals AI) | 0.5% | 2.0% | Kimi K3 |
| IOI (Vals AI) | 87.6% | 48.9% | GPT-5.6 Terra |
| Terminal-Bench 2.1 (Vals AI) | 77.5% | 80.9% | Kimi K3 |
| SWE-bench Multimodal (Vals AI) | Not measured | 44.2% | Only Kimi K3 measured |
| Vibe Code Bench 1-100 (Vals AI) | 14.8% | 18.2% | Kimi K3 |
| SkillsBench (Vals AI) | 58.9% | Not measured | Only GPT-5.6 Terra measured |
| CyberBench (Vals AI) | 72.1% | 75.2% | Kimi K3 |
| SciCode | 55.0% | 59.5% | Kimi K3 |
| Terminal-Bench Hard (Artificial Analysis run) | 62.9% | Not measured | Only GPT-5.6 Terra measured |
| FrontierCode | 41.3% | 44.2% | Kimi K3 |
| FrontierSWE | Not measured | 25.9% | Only Kimi K3 measured |
| WeirdML | 78.3% | 82.6% | Kimi K3 |
| ALE-Bench | 1951.4 | 1524.5 | GPT-5.6 Terra |
| LMArena Text: coding | 1485 | 1508 | Kimi K3 |
| LMArena Text: software and IT | 1482 | 1499 | Kimi K3 |
| LMArena WebDev: React | 1513 | 1670 | Kimi K3 |
| LMArena WebDev: HTML | 1526 | 1644 | Kimi K3 |
| LMArena WebDev: from an image | 1541 | 1579 | Kimi K3 |
| SciCode | 10.8% | Not measured | Only GPT-5.6 Terra measured |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | GPT-5.6 Terra | Kimi K3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 42.1 | 43.6 | Kimi K3 |
| Epoch Capabilities Index | 160.1 | 157.9 | GPT-5.6 Terra |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index612
| Benchmark | GPT-5.6 Terra | Kimi K3 | Leader |
|---|---|---|---|
| AA Agentic Index | 43.2 | 50.0 | Kimi K3 |
| Design Arena: agents building web apps | 1120 | 1295 | Kimi K3 |
| Design Arena: agents building full-stack apps | 1061 | 1315 | Kimi K3 |
| Design Arena: agents building mobile apps | 1111 | 1269 | Kimi K3 |
| Design Arena: agents building Android apps | 1062 | 1253 | Kimi K3 |
| Design Arena: agents building Godot games | Not measured | 1223 | Only Kimi K3 measured |
| Design Arena: agents building games | 1083 | 1252 | Kimi K3 |
| Design Arena: HTML slides | 1058 | 1206 | Kimi K3 |
| Design Arena: PowerPoint slides | 1105 | 1247 | Kimi K3 |
| Design Arena: spreadsheets | Not measured | 1070 | Only Kimi K3 measured |
| LiveBench research | 60.4% | 79.0% | Kimi K3 |
| LiveBench browser | 84.0% | 16.0% | GPT-5.6 Terra |
| LiveBench long agentic | 48.4% | 42.8% | GPT-5.6 Terra |
| SREBench (Vals AI) | 9.5% | Not measured | Only GPT-5.6 Terra measured |
| Finance Agent (Vals AI) | 54.4% | 53.1% | GPT-5.6 Terra |
| Tax Agent Bench (Vals AI) | 30.0% | 33.4% | Kimi K3 |
| Legal Research Bench (Vals AI) | 41.4% | 46.1% | Kimi K3 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 12.9% | Only Kimi K3 measured |
| Excel Modeling Benchmark (Vals AI) | 66.2% | 66.7% | Kimi K3 |
| BioMysteryBench (Vals AI) | Not measured | 72.6% | Only Kimi K3 measured |
| Terminal-Bench-Science (Vals AI) | 10.0% | 1.4% | GPT-5.6 Terra |
| Time Horizon Index (Vals AI) | Not measured | 10.5% | Only Kimi K3 measured |
| τ²-Bench Telecom | 86.3% | Not measured | Only GPT-5.6 Terra measured |
| APEX-Agents | 58.2% | 47.8% | GPT-5.6 Terra |
| BALROG | 53.2% | Not measured | Only GPT-5.6 Terra measured |
| PostTrainBench | Not measured | 32.0% | Only Kimi K3 measured |
| Vending-Bench 2 | $7,343 | $5,165 | GPT-5.6 Terra |
| Neither model has a result on the other 14 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index59
| Benchmark | GPT-5.6 Terra | Kimi K3 | Leader |
|---|---|---|---|
| GPQA Diamond | 90.9% | 92.9% | Kimi K3 |
| LiveBench reasoning | 90.6% | 90.7% | Kimi K3 |
| MMMU Pro (Vals AI) | 86.5% | 88.2% | Kimi K3 |
| GPQA Diamond (Artificial Analysis run) | 92.5% | 93.5% | Kimi K3 |
| Humanity's Last Exam (Artificial Analysis run) | 42.9% | 46.9% | Kimi K3 |
| GPQA Diamond (Epoch AI run) | 93.3% | 93.1% | GPT-5.6 Terra |
| ARC-AGI | 96.5% | 94.5% | GPT-5.6 Terra |
| ARC-AGI-2 | 83.9% | 60.4% | GPT-5.6 Terra |
| SimpleBench | 48.9% | 60.7% | Kimi K3 |
| Chess puzzles | 47.0% | 37.0% | GPT-5.6 Terra |
| Mystery game puzzles | 35.0% | 26.0% | GPT-5.6 Terra |
| LMArena Text: hard prompts | 1469 | 1495 | Kimi K3 |
| LMArena Text: expert | 1496 | 1520 | Kimi K3 |
| LMArena Text: hard prompts in English | 1465 | 1496 | Kimi K3 |
| LMArena Vision: diagrams | 1295 | Not measured | Only GPT-5.6 Terra measured |
| LMArena Vision: homework | 1312 | Not measured | Only GPT-5.6 Terra measured |
| Kagi LLM Benchmark | 51.3% | Not measured | Only GPT-5.6 Terra measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | GPT-5.6 Terra | Kimi K3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 99.7% | 97.2% | GPT-5.6 Terra |
| FrontierMath, tiers 1 to 3 | 86.0% | 72.2% | GPT-5.6 Terra |
| FrontierMath, tier 4 | 70.7% | 39.0% | GPT-5.6 Terra |
| ProofBench | 74.0% | 87.0% | Kimi K3 |
| LMArena Text: math | 1465 | 1494 | Kimi K3 |
| LMArena Text: mathematical work | 1478 | 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 index29
| Benchmark | GPT-5.6 Terra | Kimi K3 | Leader |
|---|---|---|---|
| MMLU Pro | 86.7% | 88.0% | Kimi K3 |
| LegalBench (Vals AI) | 85.1% | 86.2% | Kimi K3 |
| CorpFin (Vals AI) | 65.3% | 71.6% | Kimi K3 |
| TaxEval (Vals AI) | 76.2% | 75.7% | GPT-5.6 Terra |
| MortgageTax (Vals AI) | 67.3% | 66.3% | GPT-5.6 Terra |
| MedCode (Vals AI) | 43.4% | 49.4% | Kimi K3 |
| SimpleQA Verified | 43.2% | 50.6% | Kimi K3 |
| LMArena Text: science | 1452 | 1508 | Kimi K3 |
| LMArena Text: medicine and healthcare | 1430 | 1489 | Kimi K3 |
| LMArena Text: legal and government | 1461 | 1503 | Kimi K3 |
| LMArena Text: business and finance | 1448 | 1470 | Kimi K3 |
| FACTS Benchmark Suite | 52.0% | Not measured | Only GPT-5.6 Terra measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | GPT-5.6 Terra | Kimi K3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1268 | 1334 | Kimi K3 |
| Design Arena: UI components | 1256 | 1341 | Kimi K3 |
| Design Arena: game dev | 1229 | 1358 | Kimi K3 |
| Design Arena: data viz | 1240 | 1351 | Kimi K3 |
| Design Arena: 3D | 1134 | 1387 | Kimi K3 |
| Design Arena: all code categories | 1241 | 1360 | Kimi K3 |
| Design Arena: SVG | 1219 | 1302 | Kimi K3 |
| Design Arena: ASCII art | 1177 | Not measured | Only GPT-5.6 Terra measured |
| LiveBench design | 76.0% | 77.2% | Kimi K3 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index423
| Benchmark | GPT-5.6 Terra | Kimi K3 | Leader |
|---|---|---|---|
| Vals Index | Not measured | 53.0% | Only Kimi K3 measured |
| LiveBench data analysis | 79.3% | 78.7% | GPT-5.6 Terra |
| Public Benefits Bench (Vals AI) | 62.4% | 68.2% | Kimi K3 |
| SAGE (Vals AI) | 47.0% | 52.8% | Kimi K3 |
| MedScribe (Vals AI) | 82.9% | 88.0% | Kimi K3 |
| Vals Multimodal Index | 65.1% | 73.4% | Kimi K3 |
| IFBench | 71.2% | Not measured | Only GPT-5.6 Terra measured |
| Long context reasoning (AA-LCR) | 83.0% | 88.7% | Kimi K3 |
| DTBench | 93.3% | 91.2% | GPT-5.6 Terra |
| LMCA | 54.9% | 52.7% | GPT-5.6 Terra |
| Surface Evolver Bench | 83.8% | 95.0% | Kimi K3 |
| Furniture assembly | 54.2% | 34.2% | GPT-5.6 Terra |
| LMArena Text | 1448 | 1476 | Kimi K3 |
| LMArena Text: instruction following | 1456 | 1485 | Kimi K3 |
| LMArena Text: creative writing | 1413 | 1457 | Kimi K3 |
| LMArena Vision | 1271 | Not measured | Only GPT-5.6 Terra measured |
| LMArena Text: English | 1449 | 1481 | Kimi K3 |
| LMArena Text: non-English | 1441 | 1466 | Kimi K3 |
| LMArena Text: Chinese | 1514 | 1529 | Kimi K3 |
| LMArena Text: German | 1460 | 1490 | Kimi K3 |
| LMArena Text: Japanese | 1454 | 1494 | Kimi K3 |
| LMArena Text: Korean | 1427 | 1460 | Kimi K3 |
| LMArena Text: French | 1466 | 1492 | Kimi K3 |
| LMArena Text: Spanish | 1451 | 1472 | Kimi K3 |
| LMArena Text: Russian | 1452 | 1485 | Kimi K3 |
| LMArena Text: Polish | 1446 | 1458 | Kimi K3 |
| LMArena Text: multi-turn | 1453 | 1489 | Kimi K3 |
| LMArena Text: longer queries | 1454 | 1494 | Kimi K3 |
| LMArena Text: writing and language | 1431 | 1471 | Kimi K3 |
| LMArena Text: entertainment and media | 1418 | 1453 | Kimi K3 |
| LMArena Vision: English | 1272 | Not measured | Only GPT-5.6 Terra measured |
| LMArena Vision: Chinese | 1337 | Not measured | Only GPT-5.6 Terra measured |
| LMArena Vision: reading text | 1278 | Not measured | Only GPT-5.6 Terra measured |
| LMArena Vision: humor | 1236 | Not measured | Only GPT-5.6 Terra measured |
| LMArena Vision: creative writing | 1248 | Not measured | Only GPT-5.6 Terra measured |
| LMArena Document | 1472 | Not measured | Only GPT-5.6 Terra 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 Terra | 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-5.6 Terra costs less
Repository review
50K input + 3K output tokens
GPT-5.6 Terra costs less
Agent loop
200K input + 10K output tokens
GPT-5.6 Terra 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 Terra | 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 | $2.00 | $3.00 |
| Output $/Mtok | $12.00 | $15.00 |
| Coding index | 63.9 | 62.3 |
| Independent measurements behind it | 6 | 6 |
| Cost per solved task | $0.42 | $0.81 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.6 Terra better than Kimi K3 for coding?
GPT-5.6 Terra and Kimi K3 are level for coding, 63.9 against 62.3 on the Vibe Coding Index, so price and context decide. Pick Kimi K3 for work measured by LMArena WebDev or LiveCodeBench (Vals AI), where it leads. Pick GPT-5.6 Terra for output tokens 1.3x cheaper ($12.00 vs $15.00 per million) and a lower cost per solved task ($0.42 against $0.81).
Which is cheaper, GPT-5.6 Terra or Kimi K3?
GPT-5.6 Terra costs $2.00 per million input tokens and $12.00 per million output tokens; Kimi K3 costs $3.00 and $15.00. Per solved SWE-bench Verified task, GPT-5.6 Terra costs $0.42 and Kimi K3 $0.81.
Which has the bigger context window, GPT-5.6 Terra or Kimi K3?
GPT-5.6 Terra, with 1.05M tokens against 1.05M.
How many benchmarks is the GPT-5.6 Terra vs Kimi K3 comparison based on?
108 benchmarks have a result for both models as of October 22, 2026. GPT-5.6 Terra'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.