# GPT-5.2 Pro vs Kimi K2 (Jul 2025)

> GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 41.2 on the Noometry Index. Kimi K2 (Jul 2025) costs 58× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-2-pro-vs-kimi-k2
- Last updated: 2026-10-11
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. GPT-5.2 Pro scores higher in 2 categories and Kimi K2 (Jul 2025) in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.2 Pro leads 51.5 to 23.3.
- The biggest single-benchmark swing is SimpleBench: 57.4% for GPT-5.2 Pro and 26.3% for Kimi K2 (Jul 2025).
- Kimi K2 (Jul 2025) is cheaper at $0.57 / $2.30 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- GPT-5.2 Pro accepts more context: 400K tokens versus 262K.
- Kimi K2 (Jul 2025) has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.2 Pro | Kimi K2 (Jul 2025) |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 52.3 | 41.2 |
| Rank | 39 | 140 |
| Context | 400K | 262K |
| Input $/M | $21 | $0.57 |
| Output $/M | $168 | $2.30 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.2 Pro: —
- Kimi K2 (Jul 2025): 42.4 (#102)

| Benchmark | GPT-5.2 Pro | Kimi K2 (Jul 2025) |
|---|---|---|
| SWE-bench Verified (bash only) | — | 63.4% |
| Aider Polyglot | — | 59.1% |
| GSO | — | 4.9% |
| WeirdML | — | 42.8% |
| LMArena Coding | — | 1399 |
| ALE-Bench | — | 597.5 |

## Agentic & Tool Use

- GPT-5.2 Pro: —
- Kimi K2 (Jul 2025): 32.4 (#64)

| Benchmark | GPT-5.2 Pro | Kimi K2 (Jul 2025) |
|---|---|---|
| Terminal-Bench | — | 35.7% |
| Berkeley Function Calling Leaderboard | — | 59.1% |
| METR Time Horizons | — | 59.2% |

## Reasoning

- GPT-5.2 Pro: 51.5 (#33)
- Kimi K2 (Jul 2025): 23.3 (#179)

| Benchmark | GPT-5.2 Pro | Kimi K2 (Jul 2025) |
|---|---|---|
| SimpleBench | 57.4% | 26.3% |
| Epoch Capabilities Index | 155.4 | 146.01 |
| ARC-AGI-2 | 54.2% | — |
| Kagi LLM Benchmark | — | 64.4% |
| NYT Connections (extended) | 79.3% | — |
| ARC-AGI-1 | 90.5% | — |
| LMArena Hard Prompts | — | 1384 |
| ForecastBench | — | 60.2 |

## Math

- GPT-5.2 Pro: 65.3 (#29)
- Kimi K2 (Jul 2025): 42.7 (#83)

| Benchmark | GPT-5.2 Pro | Kimi K2 (Jul 2025) |
|---|---|---|
| FrontierMath Tier 4 (v1) | 31.3% | 0% |
| FrontierMath (Tiers 1-3) | 74% | — |
| FrontierMath Tier 4 | 46% | — |
| Omni-MATH | — | 65.4% |
| LMArena Math | — | 1397 |
| FrontierMath (Feb 2025 set) | — | 21.4% |

## Knowledge

- GPT-5.2 Pro: —
- Kimi K2 (Jul 2025): 37.3 (#157)

| Benchmark | GPT-5.2 Pro | Kimi K2 (Jul 2025) |
|---|---|---|
| MMLU-Pro | — | 81.9% |
| Confabulations | — | 20.4% |
| Vectara Hallucination Rate | — | 17.9% |
| GPQA (HELM) | — | 65.3% |
| LMArena Expert | — | 1365 |

## Multilingual

- GPT-5.2 Pro: —
- Kimi K2 (Jul 2025): 49.6 (#130)

| Benchmark | GPT-5.2 Pro | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Non-English | — | 1372 |
| LMArena Chinese | — | 1415 |
| LMArena French | — | 1379 |
| LMArena German | — | 1387 |
| LMArena Japanese | — | 1349 |
| LMArena Korean | — | 1325 |
| LMArena Russian | — | 1385 |
| LMArena Spanish | — | 1386 |

## Instruction Following

- GPT-5.2 Pro: —
- Kimi K2 (Jul 2025): 71.1 (#156)

| Benchmark | GPT-5.2 Pro | Kimi K2 (Jul 2025) |
|---|---|---|
| IFEval | — | 85% |
| LMArena Instruction Following | — | 1348 |

## Long Context

- GPT-5.2 Pro: —
- Kimi K2 (Jul 2025): 41.2 (#145)

| Benchmark | GPT-5.2 Pro | Kimi K2 (Jul 2025) |
|---|---|---|
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 17.6% |
| LMArena Longer Query | — | 1353 |

## Writing & Preference

- GPT-5.2 Pro: —
- Kimi K2 (Jul 2025): 62.3 (#78)

| Benchmark | GPT-5.2 Pro | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Text | — | 1380 |
| LMArena Creative Writing | — | 1350 |
| Short-Story Creative Writing | — | 85.6% |
| EQ-Bench Creative Writing | — | 1666 |
| WildBench | — | 86.2% |
| LMArena Multi-Turn | — | 1371 |

## FAQ

### Is GPT-5.2 Pro better than Kimi K2 (Jul 2025)?

GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 41.2 on the Noometry Index. Kimi K2 (Jul 2025) costs 58× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.2 Pro or Kimi K2 (Jul 2025)?

Kimi K2 (Jul 2025) is cheaper. It lists at $0.57 per million input tokens and $2.30 per million output tokens; GPT-5.2 Pro lists at $21 and $168.

### Which has the bigger context window?

GPT-5.2 Pro does, with 400K tokens against 262K.

### How many benchmarks do GPT-5.2 Pro and Kimi K2 (Jul 2025) share?

3 benchmarks have published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Kimi K2 (Jul 2025) has 42.