# GLM-4.6 vs Kimi K2 (Jul 2025)

> GLM-4.6 and Kimi K2 (Jul 2025) score almost the same on the Noometry Index (41.4 vs 41.2), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/glm-4-6-vs-kimi-k2
- Last updated: 2026-10-10
- Shared benchmarks: 26

## Summary

- They share 26 benchmarks with published results for both. GLM-4.6 scores higher in 5 categories and Kimi K2 (Jul 2025) in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.6 leads 53.5 to 49.6.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 47.4% for GLM-4.6 and 64.4% for Kimi K2 (Jul 2025).
- Both cost about the same: $0.60 input and $2.20 output per million tokens.
- Kimi K2 (Jul 2025) accepts more context: 262K tokens versus 205K.

## Snapshot

| | GLM-4.6 | Kimi K2 (Jul 2025) |
|---|---|---|
| Provider | Z.ai (Zhipu) | Moonshot AI |
| Noometry Index | 41.4 | 41.2 |
| Rank | 135 | 140 |
| Context | 205K | 262K |
| Input $/M | $0.60 | $0.57 |
| Output $/M | $2.20 | $2.30 |
| Weights | Open | Open |

## Coding

- GLM-4.6: 40.1 (#148)
- Kimi K2 (Jul 2025): 42.4 (#102)

| Benchmark | GLM-4.6 | Kimi K2 (Jul 2025) |
|---|---|---|
| SWE-bench Verified (bash only) | 55.4% | 63.4% |
| LMArena Coding | 1449 | 1399 |
| ALE-Bench | 340.82 | 597.5 |
| Aider Polyglot | — | 59.1% |
| LMArena WebDev | 1340 | — |
| SciCode | 38.4% | — |
| GSO | — | 4.9% |
| WeirdML | — | 42.8% |

## Agentic & Tool Use

- GLM-4.6: 32.3 (#66)
- Kimi K2 (Jul 2025): 32.4 (#64)

| Benchmark | GLM-4.6 | Kimi K2 (Jul 2025) |
|---|---|---|
| Terminal-Bench | 24.5% | 35.7% |
| Berkeley Function Calling Leaderboard | 72.4% | 59.1% |
| METR Time Horizons | — | 59.2% |

## Reasoning

- GLM-4.6: 23.7 (#172)
- Kimi K2 (Jul 2025): 23.3 (#179)

| Benchmark | GLM-4.6 | Kimi K2 (Jul 2025) |
|---|---|---|
| Kagi LLM Benchmark | 47.4% | 64.4% |
| LMArena Hard Prompts | 1440 | 1384 |
| SimpleBench | — | 26.3% |
| CritPt | 1.1% | — |
| Epoch Capabilities Index | — | 146.01 |
| ForecastBench | — | 60.2 |

## Math

- GLM-4.6: 39.1 (#111)
- Kimi K2 (Jul 2025): 42.7 (#83)

| Benchmark | GLM-4.6 | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Math | 1432 | 1397 |
| FrontierMath (Feb 2025 set) | 3.8% | 21.4% |
| FrontierMath Tier 4 (v1) | 2.1% | 0% |
| Omni-MATH | — | 65.4% |

## Knowledge

- GLM-4.6: 40.2 (#124)
- Kimi K2 (Jul 2025): 37.3 (#157)

| Benchmark | GLM-4.6 | Kimi K2 (Jul 2025) |
|---|---|---|
| Vectara Hallucination Rate | 9.5% | 17.9% |
| LMArena Expert | 1431 | 1365 |
| MMLU-Pro | — | 81.9% |
| Confabulations | — | 20.4% |
| GPQA (HELM) | — | 65.3% |

## Multilingual

- GLM-4.6: 53.5 (#66)
- Kimi K2 (Jul 2025): 49.6 (#130)

| Benchmark | GLM-4.6 | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Non-English | 1426 | 1372 |
| LMArena Chinese | 1499 | 1415 |
| LMArena French | 1459 | 1379 |
| LMArena German | 1447 | 1387 |
| LMArena Japanese | 1393 | 1349 |
| LMArena Korean | 1400 | 1325 |
| LMArena Russian | 1419 | 1385 |
| LMArena Spanish | 1436 | 1386 |

## Instruction Following

- GLM-4.6: 74.3 (#98)
- Kimi K2 (Jul 2025): 71.1 (#156)

| Benchmark | GLM-4.6 | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Instruction Following | 1410 | 1348 |
| IFEval | — | 85% |

## Long Context

- GLM-4.6: 43.4 (#94)
- Kimi K2 (Jul 2025): 41.2 (#145)

| Benchmark | GLM-4.6 | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Longer Query | 1422 | 1353 |
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 17.6% |

## Writing & Preference

- GLM-4.6: 61.1 (#90)
- Kimi K2 (Jul 2025): 62.3 (#78)

| Benchmark | GLM-4.6 | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Text | 1440 | 1380 |
| LMArena Creative Writing | 1411 | 1350 |
| EQ-Bench Creative Writing | 1411 | 1666 |
| LMArena Multi-Turn | 1427 | 1371 |
| Short-Story Creative Writing | — | 85.6% |
| WildBench | — | 86.2% |

## FAQ

### Is GLM-4.6 better than Kimi K2 (Jul 2025)?

GLM-4.6 and Kimi K2 (Jul 2025) score almost the same on the Noometry Index (41.4 vs 41.2), so choose on price, context window or the category you care about most.

### Which is cheaper, GLM-4.6 or Kimi K2 (Jul 2025)?

GLM-4.6 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Kimi K2 (Jul 2025) lists at $0.57 and $2.30.

### Is GLM-4.6 or Kimi K2 (Jul 2025) better for coding?

Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 40.1 in the Noometry coding category.

### Which has the bigger context window?

Kimi K2 (Jul 2025) does, with 262K tokens against 205K.

### How many benchmarks do GLM-4.6 and Kimi K2 (Jul 2025) share?

26 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Kimi K2 (Jul 2025) has 42.