# GPT-4o vs Kimi K3

> Kimi K3 is the stronger model overall, scoring 59.5 to 28.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4o-vs-kimi-k3
- Last updated: 2026-10-10
- Shared benchmarks: 31

## Summary

- They share 31 benchmarks with published results for both. GPT-4o scores higher in 0 categories and Kimi K3 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K3 leads 74.2 to 10.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 6.4% for GPT-4o and 97.2% for Kimi K3.
- GPT-4o is cheaper at $2.50 / $10 per million input/output tokens, against $3 / $15 for Kimi K3.
- Kimi K3 accepts more context: 1.05M tokens versus 128K.
- Kimi K3 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4o | Kimi K3 |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 28.6 | 59.5 |
| Rank | 324 | 15 |
| Context | 128K | 1.05M |
| Input $/M | $2.50 | $3 |
| Output $/M | $10 | $15 |
| Weights | Proprietary | Open |

## Coding

- GPT-4o: 24.8 (#328)
- Kimi K3: 61.0 (#10)

| Benchmark | GPT-4o | Kimi K3 |
|---|---|---|
| WeirdML | 25.1% | 82.6% |
| LMArena Coding | 1297 | 1508 |
| SWE-bench Verified | 31% | — |
| DeepSWE | — | 68.5% |
| FrontierCode | — | 44.2% |
| SWE-bench Verified (bash only) | 21.6% | — |
| Aider Polyglot | 45.3% | — |
| LMArena WebDev | — | 1654 |
| FrontierSWE | — | 25.9% |
| SciCode | — | 59.5% |
| GSO | 0% | — |
| BigCodeBench Instruct | 51.1% | — |
| LiveBench Coding | 51.4% | — |
| BigCodeBench Complete | 61.1% | — |
| CadEval | 26% | — |
| ALE-Bench | — | 1,524 |
| HumanEval+ | 87.2% | — |
| MBPP+ | 72.2% | — |

## Agentic & Tool Use

- GPT-4o: 21.0 (#141)
- Kimi K3: 41.8 (#20)

| Benchmark | GPT-4o | Kimi K3 |
|---|---|---|
| APEX-Agents | — | 50.6% |
| GDPval | 9.9% | — |
| TheAgentCompany | 8.6% | — |
| τ²-bench Banking | — | 37.1% |
| Cybench | 12.5% | — |
| PostTrainBench | — | 32% |
| BALROG | 32.3% | — |
| GBAEval | — | 48.3% |
| GDP.pdf | — | 19% |
| LMArena Search | 1006 | — |
| METR Time Horizons | 40.8% | — |
| Vending-Bench 2 | — | 5,165 |

## Reasoning

- GPT-4o: 9.4 (#343)
- Kimi K3: 63.0 (#17)

| Benchmark | GPT-4o | Kimi K3 |
|---|---|---|
| ARC-AGI-2 | 0% | 60.4% |
| SimpleBench | 17.8% | 60.7% |
| ARC-AGI-1 | 4.5% | 94.5% |
| CritPt | 0% | 23.4% |
| Chess Puzzles | 13% | 39% |
| LMArena Hard Prompts | 1281 | 1496 |
| DTBench | 64.5% | 91.2% |
| LMCA | 16.6% | 52.7% |
| Epoch Capabilities Index | 128.97 | 157.45 |
| ForecastBench | 57.7 | 61.1 |
| NYT Connections (extended) | — | 93.6% |
| EnigmaEval | 0.8% | — |
| LiveBench Reasoning | 55.8% | — |
| Mystery Game Puzzles | — | 26% |
| LiveBench Data Analysis | 60.9% | — |
| Surface Evolver Bench | — | 95% |
| LiveBench | 55.3% | — |

## Math

- GPT-4o: 10.6 (#312)
- Kimi K3: 74.2 (#16)

| Benchmark | GPT-4o | Kimi K3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0.4% | 72.2% |
| OTIS Mock AIME 2024-2025 | 6.4% | 97.2% |
| LMArena Math | 1285 | 1491 |
| FrontierMath Tier 4 | — | 39% |
| MathArena Final-Answer Competitions | — | 87.8% |
| ProofBench | — | 87% |
| Omni-MATH | 29.3% | — |
| LiveBench Math | 49.5% | — |
| MATH Level 5 | 53.3% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |

## Knowledge

- GPT-4o: 28.8 (#242)
- Kimi K3: 63.2 (#21)

| Benchmark | GPT-4o | Kimi K3 |
|---|---|---|
| GPQA Diamond | 49.2% | 93.1% |
| SimpleQA Verified | 26% | 50.6% |
| LMArena Expert | 1250 | 1521 |
| Humanity's Last Exam | 2.7% | — |
| MMLU-Pro | 71.3% | — |
| Confabulations | 15.3% | — |
| Vectara Hallucination Rate | 9.6% | — |
| GPQA (HELM) | 52% | — |
| MMLU | 88.1% | — |

## Multimodal

- GPT-4o: 34.5 (#91)
- Kimi K3: 37.8 (#70)

| Benchmark | GPT-4o | Kimi K3 |
|---|---|---|
| LMArena Vision | 1137 | — |
| Video-MME | 71.9% | — |
| GeoBench | 71% | — |
| VPCT | 40% | — |
| Blueprint-Bench 2 | — | 29.5% |
| Furniture Assembly | — | 34.2% |
| ScienceQA | 88.5% | — |

## Multilingual

- GPT-4o: 43.2 (#186)
- Kimi K3: 56.3 (#21)

| Benchmark | GPT-4o | Kimi K3 |
|---|---|---|
| LMArena Non-English | 1283 | 1466 |
| LMArena Chinese | 1277 | 1529 |
| LMArena French | 1304 | 1491 |
| LMArena German | 1282 | 1488 |
| LMArena Japanese | 1257 | 1487 |
| LMArena Korean | 1234 | 1458 |
| LMArena Russian | 1286 | 1482 |
| LMArena Spanish | 1292 | 1472 |

## Instruction Following

- GPT-4o: 66.6 (#207)
- Kimi K3: 77.7 (#14)

| Benchmark | GPT-4o | Kimi K3 |
|---|---|---|
| LMArena Instruction Following | 1278 | 1483 |
| LiveBench Instruction Following | 68.6% | — |
| IFEval | 81.7% | — |

## Long Context

- GPT-4o: 39.4 (#179)
- Kimi K3: 45.8 (#29)

| Benchmark | GPT-4o | Kimi K3 |
|---|---|---|
| LMArena Longer Query | 1289 | 1494 |
| Fiction.LiveBench | 66.7% | — |

## Writing & Preference

- GPT-4o: 52.6 (#166)
- Kimi K3: 76.6 (#4)

| Benchmark | GPT-4o | Kimi K3 |
|---|---|---|
| LMArena Text | 1300 | 1476 |
| LMArena Creative Writing | 1292 | 1454 |
| LMArena Multi-Turn | 1302 | 1488 |
| Short-Story Creative Writing | 81.8% | — |
| EQ-Bench Creative Writing | — | 2082 |
| WildBench | 82.8% | — |
| EQ-Bench 4 | — | 1339 |
| LiveBench Language | 47.6% | — |

## FAQ

### Is GPT-4o better than Kimi K3?

Kimi K3 is the stronger model overall, scoring 59.5 to 28.6 on the Noometry Index.

### Which is cheaper, GPT-4o or Kimi K3?

GPT-4o is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; Kimi K3 lists at $3 and $15.

### Is GPT-4o or Kimi K3 better for coding?

Kimi K3 scores higher on coding benchmarks: 61.0 versus 24.8 in the Noometry coding category.

### Which has the bigger context window?

Kimi K3 does, with 1.05M tokens against 128K.

### How many benchmarks do GPT-4o and Kimi K3 share?

31 benchmarks have published results for both models. GPT-4o has 72 scored results on Noometry and Kimi K3 has 53.