gpt-oss-120b vs Kimi K2 0711
Kimi K2 0711 leads gpt-oss-120b on the Artificial Analysis Intelligence Index, 12.7 to 11.6, and gpt-oss-120b costs 4.6x less per output token ($0.50 vs $2.30 per million). Updated October 21, 2026; 35 benchmarks have a result for both.
gpt-oss-120b or Kimi K2 0711: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick gpt-oss-120b for output tokens 4.6x cheaper ($0.50 vs $2.30 per million) and work measured by Aider polyglot or SWE-bench Verified, where it leads.
- Shared results
- 35
- gpt-oss-120b only
- 46
- Kimi K2 0711 only
- 2
- 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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Kimi K2 0711
Kimi K2 0711 leads, 12.7 against 11.6.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only gpt-oss-120b has a AA Agentic Index result, 3.7.
Directional only
Reasoning
GPQA Diamond
gpt-oss-120b
gpt-oss-120b leads, 78.5% against 71.5%.
Same board, both measured
Math
AIME
gpt-oss-120b
gpt-oss-120b leads, 92.6% against 62.7%.
Same board, both measured
Knowledge
MMLU Pro
Kimi K2 0711
Kimi K2 0711 leads, 79.4% against 79.2%.
Same board, both measured
Web design
Design Arena: websites
Kimi K2 0711
Kimi K2 0711 leads, 1050 against 968.
Same board, both measured
Long documents
Listed context window
No call
Both take 131K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
gpt-oss-120b
gpt-oss-120b $0.0003, Kimi K2 0711 $0.0017 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only gpt-oss-120b has the number, $0.51.
Directional only
At a glance
- Coding index
- gpt-oss-120b not benchmarked, Kimi K2 0711 not benchmarked.
- Widest category
- Math, 20.9 points apart on average over 5 shared benchmarks.
- Widest single gap
- SWE-bench Verified: gpt-oss-120b 26.0% against Kimi K2 0711 71.2%, 45.2 points apart on a 0 to 100 scale.
- Output price
- gpt-oss-120b $0.50 against Kimi K2 0711 $2.30 per million output tokens, 4.6x apart.
- Context window
- Both take 131K tokens.
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-oss-120b | Bars | Kimi K2 0711 | Ties |
|---|---|---|---|---|
| Coding | 4 | 3 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 3 | 2 | ||
| Math | 5 | 0 | ||
| Knowledge | 3 | 3 | ||
| Web design | 1 | 4 | ||
| General | 1 | 3 | ||
| All shared boards | 18 | 17 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index43
| Benchmark | gpt-oss-120b | Kimi K2 0711 | Leader |
|---|---|---|---|
| Aider polyglot | 41.8% | 59.1% | Kimi K2 0711 |
| SWE-bench Verified | 26.0% | 71.2% | Kimi K2 0711 |
| AA Coding Index | 30.4 | Not measured | Only gpt-oss-120b measured |
| LiveCodeBench (Vals AI) | 83.2% | 70.5% | gpt-oss-120b |
| SWE-bench Verified (Vals AI) | 33.6% | Not measured | Only gpt-oss-120b measured |
| LiveCodeBench (Artificial Analysis run) | 87.8% | 55.6% | gpt-oss-120b |
| SciCode | 34.0% | Not measured | Only gpt-oss-120b measured |
| Terminal-Bench Hard (Artificial Analysis run) | 23.5% | 15.9% | gpt-oss-120b |
| Terminal-Bench | 18.7% | 27.8% | Kimi K2 0711 |
| GSO-Bench | Not measured | 4.9% | Only Kimi K2 0711 measured |
| WeirdML | 48.2% | 39.4% | gpt-oss-120b |
| ALE-Bench | 575.6 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: coding | 1379 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: software and IT | 1387 | Not measured | Only gpt-oss-120b measured |
| SciCode | 7.7% | Not measured | Only gpt-oss-120b measured |
| Neither model has a result on the other 24 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | gpt-oss-120b | Kimi K2 0711 | Leader |
|---|---|---|---|
| AA Intelligence Index | 11.6 | 12.7 | Kimi K2 0711 |
| Epoch Capabilities Index | 139.8 | 140.0 | Kimi K2 0711 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | gpt-oss-120b | Kimi K2 0711 | Leader |
|---|---|---|---|
| AA Agentic Index | 3.7 | Not measured | Only gpt-oss-120b measured |
| τ²-Bench Telecom | 65.8% | 61.1% | gpt-oss-120b |
| APEX-Agents | 4.4% | Not measured | Only gpt-oss-120b measured |
| METR time horizons | 56.6% | Not measured | Only gpt-oss-120b measured |
| Vending-Bench 2 | -$22 | Not measured | Only gpt-oss-120b measured |
| BrowseComp-Plus | 67.0% | Not measured | Only gpt-oss-120b measured |
| Neither model has a result on the other 35 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | gpt-oss-120b | Kimi K2 0711 | Leader |
|---|---|---|---|
| GPQA Diamond | 78.5% | 71.5% | gpt-oss-120b |
| GPQA Diamond (Artificial Analysis run) | 78.2% | 76.6% | gpt-oss-120b |
| Humanity's Last Exam (Artificial Analysis run) | 19.6% | 7.4% | gpt-oss-120b |
| GPQA Diamond (Epoch AI run) | 75.8% | Not measured | Only gpt-oss-120b measured |
| SimpleBench | 22.1% | 26.3% | Kimi K2 0711 |
| Mystery game puzzles | 2.0% | Not measured | Only gpt-oss-120b measured |
| LMArena Text: hard prompts | 1364 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: expert | 1356 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: hard prompts in English | 1368 | Not measured | Only gpt-oss-120b measured |
| Kagi LLM Benchmark | 58.6% | 64.4% | Kimi K2 0711 |
| Neither model has a result on the other 12 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | gpt-oss-120b | Kimi K2 0711 | Leader |
|---|---|---|---|
| AIME | 92.6% | 62.7% | gpt-oss-120b |
| MATH 500 (Vals AI) | 94.8% | 94.2% | gpt-oss-120b |
| MGSM (Vals AI) | 92.0% | 91.0% | gpt-oss-120b |
| AA Math Index | 93.4 | 57.0 | gpt-oss-120b |
| AIME 2025 (Artificial Analysis run) | 93.4% | 57.0% | gpt-oss-120b |
| OTIS Mock AIME | 88.9% | Not measured | Only gpt-oss-120b measured |
| LMArena Text: math | 1389 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: mathematical work | 1386 | Not measured | Only gpt-oss-120b measured |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | gpt-oss-120b | Kimi K2 0711 | Leader |
|---|---|---|---|
| MMLU Pro | 79.2% | 79.4% | Kimi K2 0711 |
| LegalBench (Vals AI) | 75.9% | 81.5% | Kimi K2 0711 |
| CaseLaw (Vals AI) | 48.8% | Not measured | Only gpt-oss-120b measured |
| CorpFin (Vals AI) | 58.2% | 50.4% | gpt-oss-120b |
| TaxEval (Vals AI) | 71.6% | 70.2% | gpt-oss-120b |
| MedQA (Vals AI) | 91.4% | 84.0% | gpt-oss-120b |
| MMLU Pro (Artificial Analysis run) | 80.8% | 82.4% | Kimi K2 0711 |
| LMArena Text: science | 1382 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: medicine and healthcare | 1388 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: legal and government | 1355 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: business and finance | 1359 | Not measured | Only gpt-oss-120b measured |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | gpt-oss-120b | Kimi K2 0711 | Leader |
|---|---|---|---|
| Design Arena: websites | 968 | 1050 | Kimi K2 0711 |
| Design Arena: UI components | 927 | 1030 | Kimi K2 0711 |
| Design Arena: game dev | 992 | 974 | gpt-oss-120b |
| Design Arena: data viz | 987 | 1018 | Kimi K2 0711 |
| Design Arena: 3D | 901 | Not measured | Only gpt-oss-120b measured |
| Design Arena: all code categories | 963 | 1033 | Kimi K2 0711 |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | gpt-oss-120b | Kimi K2 0711 | Leader |
|---|---|---|---|
| IFBench | 69.0% | 41.5% | gpt-oss-120b |
| Long context reasoning (AA-LCR) | 52.0% | 53.0% | Kimi K2 0711 |
| DTBench | 76.3% | Not measured | Only gpt-oss-120b measured |
| LMCA | 22.1% | Not measured | Only gpt-oss-120b measured |
| Fiction.LiveBench | 44.4% | 61.1% | Kimi K2 0711 |
| Creative writing (Lech Mazur) | 77.1% | 85.6% | Kimi K2 0711 |
| CL-bench | Not measured | 11.9% | Only Kimi K2 0711 measured |
| Surface Evolver Bench | 25.0% | Not measured | Only gpt-oss-120b measured |
| LMArena Text | 1366 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: instruction following | 1318 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: creative writing | 1274 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: English | 1375 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: non-English | 1351 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: Chinese | 1385 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: German | 1353 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: Japanese | 1331 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: Korean | 1282 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: French | 1370 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: Spanish | 1389 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: Russian | 1343 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: Polish | 1353 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: multi-turn | 1340 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: longer queries | 1319 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: writing and language | 1306 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: entertainment and media | 1292 | Not measured | Only gpt-oss-120b measured |
| Neither model has a result on the other 21 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | gpt-oss-120b | Kimi K2 0711 | 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-oss-120b costs less
Repository review
50K input + 3K output tokens
gpt-oss-120b costs less
Agent loop
200K input + 10K output tokens
gpt-oss-120b 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-oss-120b | MoonshotAI Kimi K2 0711 |
|---|---|---|
| Maker | OpenAI | Moonshot AI |
| Weights | Open weights | Open weights |
| Released | August 5, 2025 | July 11, 2025 |
| Context window | 131K | 131K |
| Input $/Mtok | $0.10 | $0.57 |
| Output $/Mtok | $0.50 | $2.30 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | $0.51 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is gpt-oss-120b better than Kimi K2 0711 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick gpt-oss-120b for output tokens 4.6x cheaper ($0.50 vs $2.30 per million) and work measured by Aider polyglot or SWE-bench Verified, where it leads.
Which is cheaper, gpt-oss-120b or Kimi K2 0711?
gpt-oss-120b costs $0.10 per million input tokens and $0.50 per million output tokens; Kimi K2 0711 costs $0.57 and $2.30. Cost per solved task is known for gpt-oss-120b only.
Which has the bigger context window, gpt-oss-120b or Kimi K2 0711?
Neither: both take 131K tokens.
How many benchmarks is the gpt-oss-120b vs Kimi K2 0711 comparison based on?
35 benchmarks have a result for both models as of October 21, 2026. gpt-oss-120b's coding index rests on 1 independent benchmark and Kimi K2 0711's on 0. Where only one model has a result, the page says so instead of naming a winner.