# GLM-4.6V vs Kimi K2 (Jul 2025)

> GLM-4.6V and Kimi K2 (Jul 2025) score almost the same on the Noometry Index (41.3 vs 41.2), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/glm-4-6v-vs-kimi-k2
- Last updated: 2026-10-10
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. GLM-4.6V scores higher in 4 categories and Kimi K2 (Jul 2025) in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Kimi K2 (Jul 2025) leads 62.3 to 56.6.
- GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $0.57 / $2.30 for Kimi K2 (Jul 2025).
- Kimi K2 (Jul 2025) accepts more context: 262K tokens versus 128K.

## Snapshot

| | GLM-4.6V | Kimi K2 (Jul 2025) |
|---|---|---|
| Provider | Z.ai (Zhipu) | Moonshot AI |
| Noometry Index | 41.3 | 41.2 |
| Rank | 137 | 140 |
| Context | 128K | 262K |
| Input $/M | $0.30 | $0.57 |
| Output $/M | $0.90 | $2.30 |
| Weights | Open | Open |

## Coding

- GLM-4.6V: 40.9 (#128)
- Kimi K2 (Jul 2025): 42.4 (#102)

| Benchmark | GLM-4.6V | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Coding | 1390 | 1399 |
| SWE-bench Verified (bash only) | — | 63.4% |
| Aider Polyglot | — | 59.1% |
| GSO | — | 4.9% |
| WeirdML | — | 42.8% |
| ALE-Bench | — | 597.5 |

## Agentic & Tool Use

- GLM-4.6V: —
- Kimi K2 (Jul 2025): 32.4 (#64)

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

## Reasoning

- GLM-4.6V: 27.6 (#115)
- Kimi K2 (Jul 2025): 23.3 (#179)

| Benchmark | GLM-4.6V | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1384 |
| SimpleBench | — | 26.3% |
| Kagi LLM Benchmark | — | 64.4% |
| Epoch Capabilities Index | — | 146.01 |
| ForecastBench | — | 60.2 |

## Math

- GLM-4.6V: —
- Kimi K2 (Jul 2025): 42.7 (#83)

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

## Knowledge

- GLM-4.6V: 38.0 (#149)
- Kimi K2 (Jul 2025): 37.3 (#157)

| Benchmark | GLM-4.6V | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Expert | 1371 | 1365 |
| MMLU-Pro | — | 81.9% |
| Confabulations | — | 20.4% |
| Vectara Hallucination Rate | — | 17.9% |
| GPQA (HELM) | — | 65.3% |

## Multimodal

- GLM-4.6V: 34.8 (#90)
- Kimi K2 (Jul 2025): —

| Benchmark | GLM-4.6V | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Vision | 1164 | — |

## Multilingual

- GLM-4.6V: 48.6 (#141)
- Kimi K2 (Jul 2025): 49.6 (#130)

| Benchmark | GLM-4.6V | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Non-English | 1359 | 1372 |
| LMArena Chinese | 1425 | 1415 |
| LMArena Russian | 1340 | 1385 |
| LMArena French | — | 1379 |
| LMArena German | — | 1387 |
| LMArena Japanese | — | 1349 |
| LMArena Korean | — | 1325 |
| LMArena Spanish | — | 1386 |

## Instruction Following

- GLM-4.6V: 71.4 (#151)
- Kimi K2 (Jul 2025): 71.1 (#156)

| Benchmark | GLM-4.6V | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Instruction Following | 1352 | 1348 |
| IFEval | — | 85% |

## Long Context

- GLM-4.6V: 41.3 (#143)
- Kimi K2 (Jul 2025): 41.2 (#145)

| Benchmark | GLM-4.6V | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Longer Query | 1358 | 1353 |
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 17.6% |

## Writing & Preference

- GLM-4.6V: 56.6 (#137)
- Kimi K2 (Jul 2025): 62.3 (#78)

| Benchmark | GLM-4.6V | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Text | 1377 | 1380 |
| LMArena Creative Writing | 1347 | 1350 |
| LMArena Multi-Turn | 1360 | 1371 |
| Short-Story Creative Writing | — | 85.6% |
| EQ-Bench Creative Writing | — | 1666 |
| WildBench | — | 86.2% |

## FAQ

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

GLM-4.6V and Kimi K2 (Jul 2025) score almost the same on the Noometry Index (41.3 vs 41.2), so choose on price, context window or the category you care about most.

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

GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Kimi K2 (Jul 2025) lists at $0.57 and $2.30.

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

Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 40.9 in the Noometry coding category.

### Which has the bigger context window?

Kimi K2 (Jul 2025) does, with 262K tokens against 128K.

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

11 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Kimi K2 (Jul 2025) has 42.