Kimi K2 0711 vs o1
o1 leads Kimi K2 0711 on the Artificial Analysis Intelligence Index, 15.2 to 12.7, and Kimi K2 0711 costs 26.1x less per output token ($2.30 vs $60.00 per million). Updated October 21, 2026; 24 benchmarks have a result for both.
Kimi K2 0711 or o1: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Kimi K2 0711 for output tokens 26.1x cheaper ($2.30 vs $60.00 per million) and work measured by Aider polyglot or LiveCodeBench (Artificial Analysis run), where it leads.
- Shared results
- 24
- Kimi K2 0711 only
- 13
- o1 only
- 45
- Like-for-like categories
- 7 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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
o1
o1 leads, 15.2 against 12.7.
Same board, both measured
Reasoning
GPQA Diamond
o1
o1 leads, 73.2% against 71.5%.
Same board, both measured
Math
AIME
o1
o1 leads, 71.5% against 62.7%.
Same board, both measured
Knowledge
MMLU Pro
o1
o1 leads, 83.5% against 79.4%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Kimi K2 0711 has a Design Arena: websites result, 1050.
Directional only
Long documents
Listed context window
o1
o1 takes 200K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K2 0711
Kimi K2 0711 $0.0017, o1 $0.045 per turn.
List prices
At a glance
- Coding index
- Kimi K2 0711 not benchmarked, o1 not benchmarked.
- Widest category
- General, 19.6 points apart on average over 4 shared benchmarks.
- Widest single gap
- IFBench: Kimi K2 0711 41.5% against o1 70.3%, 28.8 points apart on a 0 to 100 scale.
- Output price
- Kimi K2 0711 $2.30 against o1 $60.00 per million output tokens, 26.1x apart.
- Context window
- Kimi K2 0711 takes 131K tokens, o1 200K.
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 | Kimi K2 0711 | Bars | o1 | Ties |
|---|---|---|---|---|
| Coding | 2 | 3 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 2 | 2 | ||
| Math | 2 | 1 | ||
| Knowledge | 1 | 4 | ||
| General | 1 | 3 | ||
| All shared boards | 8 | 16 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index23
| Benchmark | Kimi K2 0711 | o1 | Leader |
|---|---|---|---|
| Aider polyglot | 59.1% | 61.7% | o1 |
| SWE-bench Verified | 71.2% | Not measured | Only Kimi K2 0711 measured |
| AA Coding Index | Not measured | 39.7 | Only o1 measured |
| LiveCodeBench (Vals AI) | 70.5% | 50.3% | Kimi K2 0711 |
| LiveCodeBench (Artificial Analysis run) | 55.6% | 67.9% | o1 |
| Terminal-Bench Hard (Artificial Analysis run) | 15.9% | 12.9% | Kimi K2 0711 |
| Terminal-Bench | 27.8% | Not measured | Only Kimi K2 0711 measured |
| GSO-Bench | 4.9% | Not measured | Only Kimi K2 0711 measured |
| WeirdML | 39.4% | 46.1% | o1 |
| LMArena Text: coding | Not measured | 1367 | Only o1 measured |
| LMArena Text: software and IT | Not measured | 1366 | Only o1 measured |
| SciCode | Not measured | 4.6% | Only o1 measured |
| Neither model has a result on the other 27 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Kimi K2 0711 | o1 | Leader |
|---|---|---|---|
| AA Intelligence Index | 12.7 | 15.2 | o1 |
| Epoch Capabilities Index | 140.0 | 141.7 | o1 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Kimi K2 0711 | o1 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 61.1% | 62.6% | o1 |
| METR time horizons | Not measured | 51.1% | Only o1 measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | Kimi K2 0711 | o1 | Leader |
|---|---|---|---|
| GPQA Diamond | 71.5% | 73.2% | o1 |
| MMMU Pro (Vals AI) | Not measured | 77.4% | Only o1 measured |
| GPQA Diamond (Artificial Analysis run) | 76.6% | 74.7% | Kimi K2 0711 |
| Humanity's Last Exam (Artificial Analysis run) | 7.4% | 7.0% | Kimi K2 0711 |
| GPQA Diamond (Epoch AI run) | Not measured | 76.8% | Only o1 measured |
| ARC-AGI | Not measured | 30.7% | Only o1 measured |
| SimpleBench | 26.3% | 40.1% | o1 |
| Chess puzzles | Not measured | 10.0% | Only o1 measured |
| VPCT | Not measured | 37.0% | Only o1 measured |
| LMArena Text: hard prompts | Not measured | 1371 | Only o1 measured |
| LMArena Text: expert | Not measured | 1361 | Only o1 measured |
| LMArena Text: hard prompts in English | Not measured | 1372 | Only o1 measured |
| Kagi LLM Benchmark | 64.4% | Not measured | Only Kimi K2 0711 measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Kimi K2 0711 | o1 | Leader |
|---|---|---|---|
| AIME | 62.7% | 71.5% | o1 |
| MATH 500 (Vals AI) | 94.2% | 90.4% | Kimi K2 0711 |
| MGSM (Vals AI) | 91.0% | 89.3% | Kimi K2 0711 |
| AA Math Index | 57.0 | Not measured | Only Kimi K2 0711 measured |
| AIME 2025 (Artificial Analysis run) | 57.0% | Not measured | Only Kimi K2 0711 measured |
| OTIS Mock AIME | Not measured | 73.3% | Only o1 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 14.7% | Only o1 measured |
| MATH level 5 | Not measured | 94.7% | Only o1 measured |
| LMArena Text: math | Not measured | 1388 | Only o1 measured |
| LMArena Text: mathematical work | Not measured | 1390 | Only o1 measured |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | Kimi K2 0711 | o1 | Leader |
|---|---|---|---|
| MMLU Pro | 79.4% | 83.5% | o1 |
| LegalBench (Vals AI) | 81.5% | 80.4% | Kimi K2 0711 |
| CorpFin (Vals AI) | 50.4% | Not measured | Only Kimi K2 0711 measured |
| TaxEval (Vals AI) | 70.2% | 74.3% | o1 |
| MedQA (Vals AI) | 84.0% | 96.5% | o1 |
| MMLU Pro (Artificial Analysis run) | 82.4% | 84.1% | o1 |
| SimpleQA Verified | Not measured | 41.1% | Only o1 measured |
| GeoBench | Not measured | 80.0% | Only o1 measured |
| LMArena Text: science | Not measured | 1369 | Only o1 measured |
| LMArena Text: medicine and healthcare | Not measured | 1355 | Only o1 measured |
| LMArena Text: legal and government | Not measured | 1368 | Only o1 measured |
| LMArena Text: business and finance | Not measured | 1328 | Only o1 measured |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Kimi K2 0711 | o1 | Leader |
|---|---|---|---|
| Design Arena: websites | 1050 | Not measured | Only Kimi K2 0711 measured |
| Design Arena: UI components | 1030 | Not measured | Only Kimi K2 0711 measured |
| Design Arena: game dev | 974 | Not measured | Only Kimi K2 0711 measured |
| Design Arena: data viz | 1018 | Not measured | Only Kimi K2 0711 measured |
| Design Arena: all code categories | 1033 | Not measured | Only Kimi K2 0711 measured |
| Neither model has a result on the other 4 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | Kimi K2 0711 | o1 | Leader |
|---|---|---|---|
| IFBench | 41.5% | 70.3% | o1 |
| Long context reasoning (AA-LCR) | 53.0% | 65.0% | o1 |
| DTBench | Not measured | 74.7% | Only o1 measured |
| LMCA | Not measured | 22.3% | Only o1 measured |
| Fiction.LiveBench | 61.1% | 83.3% | o1 |
| Creative writing (Lech Mazur) | 85.6% | 70.2% | Kimi K2 0711 |
| CL-bench | 11.9% | Not measured | Only Kimi K2 0711 measured |
| LMArena Text | Not measured | 1366 | Only o1 measured |
| LMArena Text: instruction following | Not measured | 1367 | Only o1 measured |
| LMArena Text: creative writing | Not measured | 1347 | Only o1 measured |
| LMArena Vision | Not measured | 1168 | Only o1 measured |
| LMArena Text: English | Not measured | 1372 | Only o1 measured |
| LMArena Text: non-English | Not measured | 1358 | Only o1 measured |
| LMArena Text: Chinese | Not measured | 1394 | Only o1 measured |
| LMArena Text: German | Not measured | 1337 | Only o1 measured |
| LMArena Text: Japanese | Not measured | 1346 | Only o1 measured |
| LMArena Text: Korean | Not measured | 1396 | Only o1 measured |
| LMArena Text: French | Not measured | 1344 | Only o1 measured |
| LMArena Text: Spanish | Not measured | 1345 | Only o1 measured |
| LMArena Text: Russian | Not measured | 1356 | Only o1 measured |
| LMArena Text: multi-turn | Not measured | 1355 | Only o1 measured |
| LMArena Text: longer queries | Not measured | 1378 | Only o1 measured |
| LMArena Text: writing and language | Not measured | 1360 | Only o1 measured |
| LMArena Text: entertainment and media | Not measured | 1358 | Only o1 measured |
| LMArena Vision: English | Not measured | 1162 | Only o1 measured |
| LMArena Vision: Chinese | Not measured | 1235 | Only o1 measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K2 0711 | o1 | 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 0711 costs less
Repository review
50K input + 3K output tokens
Kimi K2 0711 costs less
Agent loop
200K input + 10K output tokens
Kimi K2 0711 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 | MoonshotAI Kimi K2 0711 | OpenAI o1 |
|---|---|---|
| Maker | Moonshot AI | OpenAI |
| Weights | Open weights | No public weights listed |
| Released | July 11, 2025 | December 17, 2024 |
| Context window | 131K | 200K |
| Input $/Mtok | $0.57 | $15.00 |
| Output $/Mtok | $2.30 | $60.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K2 0711 better than o1 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Kimi K2 0711 for output tokens 26.1x cheaper ($2.30 vs $60.00 per million) and work measured by Aider polyglot or LiveCodeBench (Artificial Analysis run), where it leads.
Which is cheaper, Kimi K2 0711 or o1?
Kimi K2 0711 costs $0.57 per million input tokens and $2.30 per million output tokens; o1 costs $15.00 and $60.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Kimi K2 0711 or o1?
o1, with 200K tokens against 131K.
How many benchmarks is the Kimi K2 0711 vs o1 comparison based on?
24 benchmarks have a result for both models as of October 21, 2026. Kimi K2 0711's coding index rests on 0 independent benchmarks and o1's on 0. Where only one model has a result, the page says so instead of naming a winner.