# GPT-4.1 nano vs Kimi K3

> Kimi K3 is the stronger model overall, scoring 59.5 to 27.9 on the Noometry Index. GPT-4.1 nano costs 34× less per token, which makes it the better buy when Kimi K3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-4-1-nano-vs-kimi-k3
- Last updated: 2026-10-12
- Shared benchmarks: 26

## Summary

- They share 26 benchmarks with published results for both. GPT-4.1 nano scores higher in 0 categories and Kimi K3 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K3 leads 63.0 to 8.5.
- The biggest single-benchmark swing is ARC-AGI-1: 0% for GPT-4.1 nano and 94.5% for Kimi K3.
- GPT-4.1 nano is cheaper at $0.10 / $0.40 per million input/output tokens, against $3 / $15 for Kimi K3.
- Kimi K3 accepts more context: 1.05M tokens versus 1.05M.
- Kimi K3 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4.1 nano | Kimi K3 |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 27.9 | 59.5 |
| Rank | 327 | 15 |
| Context | 1.05M | 1.05M |
| Input $/M | $0.10 | $3 |
| Output $/M | $0.40 | $15 |
| Weights | Proprietary | Open |

## Coding

- GPT-4.1 nano: 24.1 (#330)
- Kimi K3: 61.0 (#10)

| Benchmark | GPT-4.1 nano | Kimi K3 |
|---|---|---|
| SciCode | 25.9% | 59.5% |
| WeirdML | 19% | 82.6% |
| LMArena Coding | 1306 | 1508 |
| DeepSWE | — | 68.5% |
| FrontierCode | — | 44.2% |
| Aider Polyglot | 8.9% | — |
| LMArena WebDev | — | 1654 |
| FrontierSWE | — | 25.9% |
| ALE-Bench | — | 1,524 |

## Agentic & Tool Use

- GPT-4.1 nano: 26.5 (#104)
- Kimi K3: 41.8 (#20)

| Benchmark | GPT-4.1 nano | Kimi K3 |
|---|---|---|
| APEX-Agents | — | 50.6% |
| Berkeley Function Calling Leaderboard | 33% | — |
| τ²-bench Banking | — | 37.1% |
| PostTrainBench | — | 32% |
| GBAEval | — | 48.3% |
| GDP.pdf | — | 19% |
| Vending-Bench 2 | — | 5,165 |

## Reasoning

- GPT-4.1 nano: 8.5 (#349)
- Kimi K3: 63.0 (#17)

| Benchmark | GPT-4.1 nano | Kimi K3 |
|---|---|---|
| ARC-AGI-2 | 0% | 60.4% |
| ARC-AGI-1 | 0% | 94.5% |
| CritPt | 0% | 23.4% |
| LMArena Hard Prompts | 1286 | 1496 |
| DTBench | 52.5% | 91.2% |
| LMCA | 5.5% | 52.7% |
| Epoch Capabilities Index | 129.62 | 157.45 |
| SimpleBench | — | 60.7% |
| Kagi LLM Benchmark | 33.3% | — |
| NYT Connections (extended) | — | 93.6% |
| Chess Puzzles | — | 39% |
| Mystery Game Puzzles | — | 26% |
| Surface Evolver Bench | — | 95% |
| ForecastBench | — | 61.1 |

## Math

- GPT-4.1 nano: 26.9 (#252)
- Kimi K3: 74.2 (#16)

| Benchmark | GPT-4.1 nano | Kimi K3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 28.9% | 97.2% |
| LMArena Math | 1274 | 1491 |
| FrontierMath (Tiers 1-3) | — | 72.2% |
| FrontierMath Tier 4 | — | 39% |
| MathArena Final-Answer Competitions | — | 87.8% |
| ProofBench | — | 87% |
| Omni-MATH | 36.7% | — |
| MATH Level 5 | 70% | — |
| FrontierMath (Feb 2025 set) | 1% | — |

## Knowledge

- GPT-4.1 nano: 21.8 (#273)
- Kimi K3: 63.2 (#21)

| Benchmark | GPT-4.1 nano | Kimi K3 |
|---|---|---|
| GPQA Diamond | 48.9% | 93.1% |
| SimpleQA Verified | 6% | 50.6% |
| LMArena Expert | 1272 | 1521 |
| MMLU-Pro | 55% | — |
| GPQA (HELM) | 50.7% | — |

## Multimodal

- GPT-4.1 nano: 29.2 (#113)
- Kimi K3: 37.8 (#70)

| Benchmark | GPT-4.1 nano | Kimi K3 |
|---|---|---|
| LMArena Vision | 1063 | — |
| Blueprint-Bench 2 | — | 29.5% |
| Furniture Assembly | — | 34.2% |

## Multilingual

- GPT-4.1 nano: 41.6 (#205)
- Kimi K3: 56.3 (#21)

| Benchmark | GPT-4.1 nano | Kimi K3 |
|---|---|---|
| LMArena Non-English | 1260 | 1466 |
| LMArena Chinese | 1270 | 1529 |
| LMArena German | 1288 | 1488 |
| LMArena Japanese | 1198 | 1487 |
| LMArena Russian | 1261 | 1482 |
| LMArena French | — | 1491 |
| LMArena Korean | — | 1458 |
| LMArena Spanish | — | 1472 |

## Instruction Following

- GPT-4.1 nano: 67.8 (#193)
- Kimi K3: 77.7 (#14)

| Benchmark | GPT-4.1 nano | Kimi K3 |
|---|---|---|
| LMArena Instruction Following | 1267 | 1483 |
| IFEval | 84.3% | — |

## Long Context

- GPT-4.1 nano: 23.7 (#296)
- Kimi K3: 45.8 (#29)

| Benchmark | GPT-4.1 nano | Kimi K3 |
|---|---|---|
| LMArena Longer Query | 1283 | 1494 |
| Fiction.LiveBench | 25% | — |

## Writing & Preference

- GPT-4.1 nano: 40.5 (#243)
- Kimi K3: 76.6 (#4)

| Benchmark | GPT-4.1 nano | Kimi K3 |
|---|---|---|
| LMArena Text | 1285 | 1476 |
| LMArena Creative Writing | 1260 | 1454 |
| EQ-Bench Creative Writing | 946 | 2082 |
| LMArena Multi-Turn | 1277 | 1488 |
| WildBench | 81.2% | — |
| EQ-Bench 4 | — | 1339 |

## FAQ

### Is GPT-4.1 nano better than Kimi K3?

Kimi K3 is the stronger model overall, scoring 59.5 to 27.9 on the Noometry Index. GPT-4.1 nano costs 34× less per token, which makes it the better buy when Kimi K3's lead doesn't matter for your workload.

### Which is cheaper, GPT-4.1 nano or Kimi K3?

GPT-4.1 nano is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Kimi K3 lists at $3 and $15.

### Is GPT-4.1 nano or Kimi K3 better for coding?

Kimi K3 scores higher on coding benchmarks: 61.0 versus 24.1 in the Noometry coding category.

### Which has the bigger context window?

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

### How many benchmarks do GPT-4.1 nano and Kimi K3 share?

26 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Kimi K3 has 53.