GPT-4o (2024-11-20) vs Kimi K2 0711
Kimi K2 0711 leads GPT-4o (2024-11-20) on the Artificial Analysis Intelligence Index, 12.7 to 8.4, and Kimi K2 0711 costs 4.3x less per output token ($2.30 vs $10.00 per million). Updated October 23, 2026; 14 benchmarks have a result for both.
GPT-4o (2024-11-20) or Kimi K2 0711: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GPT-4o (2024-11-20) for work measured by Aider polyglot or LiveCodeBench (Vals AI), where it leads.
- Shared results
- 14
- GPT-4o (2024-11-20) only
- 10
- Kimi K2 0711 only
- 25
- Like-for-like categories
- 6 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 8.4.
Same board, both measured
Reasoning
GPQA Diamond
Kimi K2 0711
Kimi K2 0711 leads, 71.5% against 53.8%.
Same board, both measured
Math
AIME
Kimi K2 0711
Kimi K2 0711 leads, 62.7% against 11.9%.
Same board, both measured
Knowledge
MMLU Pro
Kimi K2 0711
Kimi K2 0711 leads, 79.4% against 72.6%.
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
Kimi K2 0711
Kimi K2 0711 takes 131K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K2 0711
GPT-4o (2024-11-20) $0.0075, Kimi K2 0711 $0.0017 per turn.
List prices
At a glance
- Coding index
- GPT-4o (2024-11-20) not benchmarked, Kimi K2 0711 not benchmarked.
- Widest category
- Math, 23.9 points apart on average over 3 shared benchmarks.
- Widest single gap
- AIME: GPT-4o (2024-11-20) 11.9% against Kimi K2 0711 62.7%, 50.8 points apart on a 0 to 100 scale.
- Output price
- GPT-4o (2024-11-20) $10.00 against Kimi K2 0711 $2.30 per million output tokens, 4.3x apart.
- Context window
- GPT-4o (2024-11-20) takes 128K tokens, Kimi K2 0711 131K.
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-4o (2024-11-20) | Bars | Kimi K2 0711 | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 1 | ||
| Math | 0 | 3 | ||
| Knowledge | 2 | 2 | ||
| General | 0 | 1 | ||
| All shared boards | 2 | 12 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
| Benchmark | GPT-4o (2024-11-20) | Kimi K2 0711 | Leader |
|---|---|---|---|
| Aider polyglot | 18.2% | 59.1% | Kimi K2 0711 |
| SWE-bench Verified | Not measured | 71.2% | Only Kimi K2 0711 measured |
| LiveCodeBench (Vals AI) | 43.4% | 70.5% | Kimi K2 0711 |
| LiveCodeBench (Artificial Analysis run) | Not measured | 55.6% | Only Kimi K2 0711 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 15.9% | Only Kimi K2 0711 measured |
| Terminal-Bench | Not measured | 27.8% | Only Kimi K2 0711 measured |
| GSO-Bench | 0.0% | 4.9% | Kimi K2 0711 |
| WeirdML | 25.1% | 39.4% | Kimi K2 0711 |
| Cybench | 12.5% | Not measured | Only GPT-4o (2024-11-20) measured |
| Neither model has a result on the other 34 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-4o (2024-11-20) | Kimi K2 0711 | Leader |
|---|---|---|---|
| AA Intelligence Index | 8.4 | 12.7 | Kimi K2 0711 |
| Epoch Capabilities Index | Not measured | 140.0 | Only Kimi K2 0711 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | GPT-4o (2024-11-20) | Kimi K2 0711 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | Not measured | 61.1% | Only Kimi K2 0711 measured |
| TheAgentCompany | 8.6% | Not measured | Only GPT-4o (2024-11-20) measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-4o (2024-11-20) | Kimi K2 0711 | Leader |
|---|---|---|---|
| GPQA Diamond | 53.8% | 71.5% | Kimi K2 0711 |
| MMMU Pro (Vals AI) | 62.2% | Not measured | Only GPT-4o (2024-11-20) measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 76.6% | Only Kimi K2 0711 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 7.4% | Only Kimi K2 0711 measured |
| GPQA Diamond (Epoch AI run) | 47.9% | Not measured | Only GPT-4o (2024-11-20) measured |
| SimpleBench | Not measured | 26.3% | Only Kimi K2 0711 measured |
| VPCT | 40.0% | Not measured | Only GPT-4o (2024-11-20) measured |
| Kagi LLM Benchmark | Not measured | 64.4% | Only Kimi K2 0711 measured |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | GPT-4o (2024-11-20) | Kimi K2 0711 | Leader |
|---|---|---|---|
| AIME | 11.9% | 62.7% | Kimi K2 0711 |
| MATH 500 (Vals AI) | 74.0% | 94.2% | Kimi K2 0711 |
| MGSM (Vals AI) | 90.4% | 91.0% | Kimi K2 0711 |
| AA Math Index | Not measured | 57.0 | Only Kimi K2 0711 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 57.0% | Only Kimi K2 0711 measured |
| OTIS Mock AIME | 6.3% | Not measured | Only GPT-4o (2024-11-20) measured |
| MATH level 5 | 49.8% | Not measured | Only GPT-4o (2024-11-20) measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | GPT-4o (2024-11-20) | Kimi K2 0711 | Leader |
|---|---|---|---|
| MMLU Pro | 72.6% | 79.4% | Kimi K2 0711 |
| LegalBench (Vals AI) | 82.2% | 81.5% | GPT-4o (2024-11-20) |
| CaseLaw (Vals AI) | 59.7% | Not measured | Only GPT-4o (2024-11-20) measured |
| CorpFin (Vals AI) | 45.9% | 50.4% | Kimi K2 0711 |
| TaxEval (Vals AI) | 74.5% | 70.2% | GPT-4o (2024-11-20) |
| MortgageTax (Vals AI) | 57.4% | Not measured | Only GPT-4o (2024-11-20) measured |
| MedQA (Vals AI) | Not measured | 84.0% | Only Kimi K2 0711 measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 82.4% | Only Kimi K2 0711 measured |
| GeoBench | 71.0% | Not measured | Only GPT-4o (2024-11-20) measured |
| PRBench Finance | Not measured | 38.3% | Only Kimi K2 0711 measured |
| PRBench Legal | Not measured | 36.4% | Only Kimi K2 0711 measured |
| Neither model has a result on the other 9 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | GPT-4o (2024-11-20) | Kimi K2 0711 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1050 | Only Kimi K2 0711 measured |
| Design Arena: UI components | Not measured | 1028 | Only Kimi K2 0711 measured |
| Design Arena: game dev | Not measured | 973 | Only Kimi K2 0711 measured |
| Design Arena: data viz | Not measured | 1018 | Only Kimi K2 0711 measured |
| Design Arena: all code categories | Not measured | 1033 | 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 index01
| Benchmark | GPT-4o (2024-11-20) | Kimi K2 0711 | Leader |
|---|---|---|---|
| IFBench | Not measured | 41.5% | Only Kimi K2 0711 measured |
| Long context reasoning (AA-LCR) | Not measured | 53.0% | Only Kimi K2 0711 measured |
| Fiction.LiveBench | Not measured | 61.1% | Only Kimi K2 0711 measured |
| Creative writing (Lech Mazur) | 81.8% | 85.6% | Kimi K2 0711 |
| CL-bench | Not measured | 11.9% | Only Kimi K2 0711 measured |
| Neither model has a result on the other 43 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4o (2024-11-20) | 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
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 | OpenAI GPT-4o (2024-11-20) | MoonshotAI Kimi K2 0711 |
|---|---|---|
| Maker | OpenAI | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | November 20, 2024 | July 11, 2025 |
| Context window | 128K | 131K |
| Input $/Mtok | $2.50 | $0.57 |
| Output $/Mtok | $10.00 | $2.30 |
| 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 GPT-4o (2024-11-20) better than Kimi K2 0711 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4o (2024-11-20) for work measured by Aider polyglot or LiveCodeBench (Vals AI), where it leads.
Which is cheaper, GPT-4o (2024-11-20) or Kimi K2 0711?
GPT-4o (2024-11-20) costs $2.50 per million input tokens and $10.00 per million output tokens; Kimi K2 0711 costs $0.57 and $2.30. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-4o (2024-11-20) or Kimi K2 0711?
Kimi K2 0711, with 131K tokens against 128K.
How many benchmarks is the GPT-4o (2024-11-20) vs Kimi K2 0711 comparison based on?
14 benchmarks have a result for both models as of October 23, 2026. GPT-4o (2024-11-20)'s coding index rests on 0 independent benchmarks and Kimi K2 0711's on 0. Where only one model has a result, the page says so instead of naming a winner.