GPT-5.6 Terra vs Kimi K2.5
GPT-5.6 Terra leads Kimi K2.5 on coding, 63.9 to 38.6 on the Vibe Coding Index, and Kimi K2.5 costs 4.2x less per output token ($2.85 vs $12.00 per million). Updated October 22, 2026; 86 benchmarks have a result for both.
GPT-5.6 Terra or Kimi K2.5: which to pick
Pick GPT-5.6 Terra for coding: it scores 63.9 on the Vibe Coding Index against 38.6 for Kimi K2.5.
Pick Kimi K2.5 for output tokens 4.2x cheaper ($2.85 vs $12.00 per million) and a lower cost per solved task ($0.24 against $0.42).
- Shared results
- 86
- GPT-5.6 Terra only
- 41
- Kimi K2.5 only
- 13
- 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 Terra
GPT-5.6 Terra scores 63.9 against 38.6.
6 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-5.6 Terra
GPT-5.6 Terra leads, 42.1 against 23.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only GPT-5.6 Terra has a AA Agentic Index result, 43.2.
Directional only
Reasoning
GPQA Diamond
GPT-5.6 Terra
GPT-5.6 Terra leads, 90.9% against 84.1%.
Same board, both measured
Math
AIME
No call
Only Kimi K2.5 has a AIME result, 95.6%.
Directional only
Knowledge
MMLU Pro
GPT-5.6 Terra
GPT-5.6 Terra leads, 86.7% against 85.9%.
Same board, both measured
Web design
Design Arena: websites
GPT-5.6 Terra
GPT-5.6 Terra leads, 1268 against 1248.
Same board, both measured
Long documents
Listed context window
GPT-5.6 Terra
GPT-5.6 Terra takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K2.5
GPT-5.6 Terra $0.0080, Kimi K2.5 $0.0020 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K2.5
GPT-5.6 Terra $0.42, Kimi K2.5 $0.24.
Published attempt cost and pass rate
At a glance
- Coding index
- GPT-5.6 Terra 63.9 from 6 benchmarks, Kimi K2.5 38.6 from 3 benchmarks.
- Widest category
- Coding, 23.4 points apart on average over 15 shared benchmarks.
- Widest single gap
- ARC-AGI-2: GPT-5.6 Terra 83.9% against Kimi K2.5 11.8%, 72.1 points apart on a 0 to 100 scale.
- Output price
- GPT-5.6 Terra $12.00 against Kimi K2.5 $2.85 per million output tokens, 4.2x apart.
- Context window
- GPT-5.6 Terra takes 1.05M tokens, Kimi K2.5 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-5.6 Terra | Bars | Kimi K2.5 | Ties |
|---|---|---|---|---|
| Coding | 15 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 4 | 5 | ||
| Reasoning | 12 | 1 | ||
| Math | 1 | 1 | ||
| Knowledge | 7 | 3 | ||
| Web design | 7 | 1 | ||
| General | 21 | 6 | ||
| All shared boards | 69 | 17 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index150
| Benchmark | GPT-5.6 Terra | Kimi K2.5 | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 70.8% | Only Kimi K2.5 measured |
| SWE-bench Multilingual | Not measured | 67.3% | Only Kimi K2.5 measured |
| LiveBench coding | 86.2% | Not measured | Only GPT-5.6 Terra measured |
| LMArena WebDev | 1522 | 1437 | GPT-5.6 Terra |
| AA Coding Index | 76.7 | 46.8 | GPT-5.6 Terra |
| LiveCodeBench (Vals AI) | 85.9% | 83.9% | GPT-5.6 Terra |
| SWE-bench Verified (Vals AI) | 95.4% | 70.0% | GPT-5.6 Terra |
| Terminal-Bench 4 (Vals AI) | 22.7% | Not measured | Only GPT-5.6 Terra measured |
| Vibe Code Bench (Vals AI) | 74.6% | 17.5% | GPT-5.6 Terra |
| Code migration (Vals AI) | 47.8% | 7.0% | GPT-5.6 Terra |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only GPT-5.6 Terra measured |
| IOI (Vals AI) | 87.6% | Not measured | Only GPT-5.6 Terra measured |
| Terminal-Bench 2.1 (Vals AI) | 77.5% | 42.0% | GPT-5.6 Terra |
| Vibe Code Bench 1-100 (Vals AI) | 14.8% | Not measured | Only GPT-5.6 Terra measured |
| SkillsBench (Vals AI) | 58.9% | Not measured | Only GPT-5.6 Terra measured |
| CyberBench (Vals AI) | 72.1% | Not measured | Only GPT-5.6 Terra measured |
| SciCode | 55.0% | Not measured | Only GPT-5.6 Terra measured |
| Terminal-Bench Hard (Artificial Analysis run) | 62.9% | 34.8% | GPT-5.6 Terra |
| Terminal-Bench | Not measured | 43.2% | Only Kimi K2.5 measured |
| FrontierCode | 41.3% | Not measured | Only GPT-5.6 Terra measured |
| WeirdML | 78.3% | 45.6% | GPT-5.6 Terra |
| ALE-Bench | 1951.4 | 821.6 | GPT-5.6 Terra |
| LMArena Text: coding | 1485 | 1483 | GPT-5.6 Terra |
| LMArena Text: software and IT | 1482 | 1471 | GPT-5.6 Terra |
| LMArena WebDev: React | 1513 | 1429 | GPT-5.6 Terra |
| LMArena WebDev: HTML | 1526 | 1426 | GPT-5.6 Terra |
| LMArena WebDev: from an image | 1541 | 1439 | GPT-5.6 Terra |
| SciCode | 10.8% | Not measured | Only GPT-5.6 Terra measured |
| Neither model has a result on the other 11 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-5.6 Terra | Kimi K2.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 42.1 | 23.5 | GPT-5.6 Terra |
| Epoch Capabilities Index | 160.1 | 148.1 | GPT-5.6 Terra |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index45
| Benchmark | GPT-5.6 Terra | Kimi K2.5 | Leader |
|---|---|---|---|
| AA Agentic Index | 43.2 | Not measured | Only GPT-5.6 Terra measured |
| Design Arena: agents building web apps | 1120 | 1136 | Kimi K2.5 |
| Design Arena: agents building full-stack apps | 1061 | 1114 | Kimi K2.5 |
| Design Arena: agents building mobile apps | 1111 | 1147 | Kimi K2.5 |
| Design Arena: agents building Android apps | 1062 | 1118 | Kimi K2.5 |
| Design Arena: agents building Godot games | Not measured | 1219 | Only Kimi K2.5 measured |
| Design Arena: agents building games | 1083 | Not measured | Only GPT-5.6 Terra measured |
| Design Arena: HTML slides | 1058 | Not measured | Only GPT-5.6 Terra measured |
| Design Arena: PowerPoint slides | 1105 | Not measured | Only GPT-5.6 Terra measured |
| LiveBench research | 60.4% | Not measured | Only GPT-5.6 Terra measured |
| LiveBench browser | 84.0% | Not measured | Only GPT-5.6 Terra measured |
| LiveBench long agentic | 48.4% | Not measured | Only GPT-5.6 Terra measured |
| SREBench (Vals AI) | 9.5% | Not measured | Only GPT-5.6 Terra measured |
| Finance Agent (Vals AI) | 54.4% | 35.8% | GPT-5.6 Terra |
| Tax Agent Bench (Vals AI) | 30.0% | Not measured | Only GPT-5.6 Terra measured |
| Legal Research Bench (Vals AI) | 41.4% | 15.9% | GPT-5.6 Terra |
| Excel Modeling Benchmark (Vals AI) | 66.2% | 28.5% | GPT-5.6 Terra |
| Terminal-Bench-Science (Vals AI) | 10.0% | Not measured | Only GPT-5.6 Terra measured |
| τ²-Bench Telecom | 86.3% | 95.9% | Kimi K2.5 |
| APEX-Agents | 58.2% | Not measured | Only GPT-5.6 Terra measured |
| BALROG | 53.2% | Not measured | Only GPT-5.6 Terra measured |
| OSWorld | Not measured | 63.3% | Only Kimi K2.5 measured |
| Vending-Bench 2 | $7,343 | $1,198 | GPT-5.6 Terra |
| Neither model has a result on the other 18 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index121
| Benchmark | GPT-5.6 Terra | Kimi K2.5 | Leader |
|---|---|---|---|
| GPQA Diamond | 90.9% | 84.1% | GPT-5.6 Terra |
| LiveBench reasoning | 90.6% | Not measured | Only GPT-5.6 Terra measured |
| MMMU Pro (Vals AI) | 86.5% | 84.3% | GPT-5.6 Terra |
| GPQA Diamond (Artificial Analysis run) | 92.5% | 87.9% | GPT-5.6 Terra |
| Humanity's Last Exam (Artificial Analysis run) | 42.9% | 30.7% | GPT-5.6 Terra |
| GPQA Diamond (Epoch AI run) | 93.3% | Not measured | Only GPT-5.6 Terra measured |
| ARC-AGI | 96.5% | 65.3% | GPT-5.6 Terra |
| ARC-AGI-2 | 83.9% | 11.8% | GPT-5.6 Terra |
| SimpleBench | 48.9% | 46.8% | GPT-5.6 Terra |
| Chess puzzles | 47.0% | Not measured | Only GPT-5.6 Terra measured |
| Mystery game puzzles | 35.0% | Not measured | Only GPT-5.6 Terra measured |
| LMArena Text: hard prompts | 1469 | 1453 | GPT-5.6 Terra |
| LMArena Text: expert | 1496 | 1466 | GPT-5.6 Terra |
| LMArena Text: hard prompts in English | 1465 | 1460 | GPT-5.6 Terra |
| LMArena Vision: diagrams | 1295 | 1282 | GPT-5.6 Terra |
| LMArena Vision: homework | 1312 | 1297 | GPT-5.6 Terra |
| Kagi LLM Benchmark | 51.3% | 78.5% | Kimi K2.5 |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | GPT-5.6 Terra | Kimi K2.5 | Leader |
|---|---|---|---|
| AIME | Not measured | 95.6% | Only Kimi K2.5 measured |
| OTIS Mock AIME | 99.7% | Not measured | Only GPT-5.6 Terra measured |
| FrontierMath, tiers 1 to 3 | 86.0% | Not measured | Only GPT-5.6 Terra measured |
| FrontierMath, tier 4 | 70.7% | Not measured | Only GPT-5.6 Terra measured |
| ProofBench | 74.0% | Not measured | Only GPT-5.6 Terra measured |
| LMArena Text: math | 1465 | 1470 | Kimi K2.5 |
| LMArena Text: mathematical work | 1478 | 1473 | GPT-5.6 Terra |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index73
| Benchmark | GPT-5.6 Terra | Kimi K2.5 | Leader |
|---|---|---|---|
| MMLU Pro | 86.7% | 85.9% | GPT-5.6 Terra |
| LegalBench (Vals AI) | 85.1% | Not measured | Only GPT-5.6 Terra measured |
| CaseLaw (Vals AI) | Not measured | 58.7% | Only Kimi K2.5 measured |
| CorpFin (Vals AI) | 65.3% | 68.3% | Kimi K2.5 |
| TaxEval (Vals AI) | 76.2% | 74.2% | GPT-5.6 Terra |
| MortgageTax (Vals AI) | 67.3% | 66.5% | GPT-5.6 Terra |
| MedQA (Vals AI) | Not measured | 94.4% | Only Kimi K2.5 measured |
| MedCode (Vals AI) | 43.4% | 39.3% | GPT-5.6 Terra |
| SimpleQA Verified | 43.2% | 34.3% | GPT-5.6 Terra |
| LMArena Text: science | 1452 | 1459 | Kimi K2.5 |
| LMArena Text: medicine and healthcare | 1430 | 1448 | Kimi K2.5 |
| LMArena Text: legal and government | 1461 | 1441 | GPT-5.6 Terra |
| LMArena Text: business and finance | 1448 | 1427 | GPT-5.6 Terra |
| FACTS Benchmark Suite | 52.0% | Not measured | Only GPT-5.6 Terra measured |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | GPT-5.6 Terra | Kimi K2.5 | Leader |
|---|---|---|---|
| Design Arena: websites | 1268 | 1248 | GPT-5.6 Terra |
| Design Arena: UI components | 1256 | 1234 | GPT-5.6 Terra |
| Design Arena: game dev | 1229 | 1206 | GPT-5.6 Terra |
| Design Arena: data viz | 1240 | 1219 | GPT-5.6 Terra |
| Design Arena: 3D | 1134 | 1204 | Kimi K2.5 |
| Design Arena: all code categories | 1241 | 1236 | GPT-5.6 Terra |
| Design Arena: SVG | 1219 | 1149 | GPT-5.6 Terra |
| Design Arena: ASCII art | 1177 | 1166 | GPT-5.6 Terra |
| LiveBench design | 76.0% | Not measured | Only GPT-5.6 Terra measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index216
| Benchmark | GPT-5.6 Terra | Kimi K2.5 | Leader |
|---|---|---|---|
| LiveBench data analysis | 79.3% | Not measured | Only GPT-5.6 Terra measured |
| Public Benefits Bench (Vals AI) | 62.4% | Not measured | Only GPT-5.6 Terra measured |
| SAGE (Vals AI) | 47.0% | 49.9% | Kimi K2.5 |
| MedScribe (Vals AI) | 82.9% | 76.4% | GPT-5.6 Terra |
| Vals Multimodal Index | 65.1% | Not measured | Only GPT-5.6 Terra measured |
| IFBench | 71.2% | 70.2% | GPT-5.6 Terra |
| Long context reasoning (AA-LCR) | 83.0% | 78.0% | GPT-5.6 Terra |
| DTBench | 93.3% | Not measured | Only GPT-5.6 Terra measured |
| LMCA | 54.9% | Not measured | Only GPT-5.6 Terra measured |
| Fiction.LiveBench | Not measured | 86.1% | Only Kimi K2.5 measured |
| CL-bench | Not measured | 19.3% | Only Kimi K2.5 measured |
| Surface Evolver Bench | 83.8% | Not measured | Only GPT-5.6 Terra measured |
| Furniture assembly | 54.2% | Not measured | Only GPT-5.6 Terra measured |
| CL-bench Life | Not measured | 13.2% | Only Kimi K2.5 measured |
| LMArena Text | 1448 | 1445 | GPT-5.6 Terra |
| LMArena Text: instruction following | 1456 | 1431 | GPT-5.6 Terra |
| LMArena Text: creative writing | 1413 | 1422 | Kimi K2.5 |
| LMArena Vision | 1271 | 1269 | GPT-5.6 Terra |
| LMArena Text: English | 1449 | 1453 | Kimi K2.5 |
| LMArena Text: non-English | 1441 | 1433 | GPT-5.6 Terra |
| LMArena Text: Chinese | 1514 | 1494 | GPT-5.6 Terra |
| LMArena Text: German | 1460 | 1441 | GPT-5.6 Terra |
| LMArena Text: Japanese | 1454 | 1423 | GPT-5.6 Terra |
| LMArena Text: Korean | 1427 | 1412 | GPT-5.6 Terra |
| LMArena Text: French | 1466 | 1454 | GPT-5.6 Terra |
| LMArena Text: Spanish | 1451 | 1450 | GPT-5.6 Terra |
| LMArena Text: Russian | 1452 | 1435 | GPT-5.6 Terra |
| LMArena Text: Polish | 1446 | 1445 | GPT-5.6 Terra |
| LMArena Text: multi-turn | 1453 | 1444 | GPT-5.6 Terra |
| LMArena Text: longer queries | 1454 | 1445 | GPT-5.6 Terra |
| LMArena Text: writing and language | 1431 | 1425 | GPT-5.6 Terra |
| LMArena Text: entertainment and media | 1418 | 1417 | GPT-5.6 Terra |
| LMArena Vision: English | 1272 | 1274 | Kimi K2.5 |
| LMArena Vision: Chinese | 1337 | 1328 | GPT-5.6 Terra |
| LMArena Vision: reading text | 1278 | 1276 | GPT-5.6 Terra |
| LMArena Vision: humor | 1236 | 1284 | Kimi K2.5 |
| LMArena Vision: captioning | Not measured | 1257 | Only Kimi K2.5 measured |
| LMArena Vision: recognizing things | Not measured | 1285 | Only Kimi K2.5 measured |
| LMArena Vision: creative writing | 1248 | 1269 | Kimi K2.5 |
| LMArena Document | 1472 | Not measured | Only GPT-5.6 Terra measured |
| Neither model has a result on the other 6 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5.6 Terra | Kimi K2.5 | 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 K2.5 costs less
Repository review
50K input + 3K output tokens
Kimi K2.5 costs less
Agent loop
200K input + 10K output tokens
Kimi K2.5 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 K2.5 |
|---|---|---|
| Maker | OpenAI | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | July 9, 2026 | January 27, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $2.00 | $0.532 |
| Output $/Mtok | $12.00 | $2.85 |
| Coding index | 63.9 | 38.6 |
| Independent measurements behind it | 6 | 3 |
| Cost per solved task | $0.42 | $0.24 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.6 Terra better than Kimi K2.5 for coding?
Pick GPT-5.6 Terra for coding: it scores 63.9 on the Vibe Coding Index against 38.6 for Kimi K2.5. Pick Kimi K2.5 for output tokens 4.2x cheaper ($2.85 vs $12.00 per million) and a lower cost per solved task ($0.24 against $0.42).
Which is cheaper, GPT-5.6 Terra or Kimi K2.5?
GPT-5.6 Terra costs $2.00 per million input tokens and $12.00 per million output tokens; Kimi K2.5 costs $0.532 and $2.85. Per solved SWE-bench Verified task, GPT-5.6 Terra costs $0.42 and Kimi K2.5 $0.24.
Which has the bigger context window, GPT-5.6 Terra or Kimi K2.5?
GPT-5.6 Terra, with 1.05M tokens against 262K.
How many benchmarks is the GPT-5.6 Terra vs Kimi K2.5 comparison based on?
86 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 K2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.