# GLM-5V-Turbo vs Kimi K2.7 Code

> GLM-5V-Turbo and Kimi K2.7 Code score almost the same on the Noometry Index (43.8 vs 43.3), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/glm-5v-turbo-vs-kimi-k2-7-code
- Last updated: 2026-10-11
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. GLM-5V-Turbo scores higher in 0 categories and Kimi K2.7 Code in 4 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.7 Code leads 52.9 to 39.4.
- Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
- Kimi K2.7 Code accepts more context: 262K tokens versus 200K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-5V-Turbo | Kimi K2.7 Code |
|---|---|---|
| Provider | Z.ai (Zhipu) | Moonshot AI |
| Noometry Index | 43.8 | 43.3 |
| Rank | 84 | 94 |
| Context | 200K | 262K |
| Input $/M | $1.20 | $0.95 |
| Output $/M | $4 | $4 |
| Weights | Proprietary | Open |

## Coding

- GLM-5V-Turbo: 42.1 (#111)
- Kimi K2.7 Code: 42.9 (#95)

| Benchmark | GLM-5V-Turbo | Kimi K2.7 Code |
|---|---|---|
| LMArena WebDev | 1401 | 1473 |
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| SciCode | — | 47.5% |
| WeirdML | — | 54.1% |
| LMArena Coding | 1466 | — |
| ALE-Bench | — | 886.23 |

## Agentic & Tool Use

- GLM-5V-Turbo: —
- Kimi K2.7 Code: 24.0 (#122)

| Benchmark | GLM-5V-Turbo | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | — | 37.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 5,083 |

## Reasoning

- GLM-5V-Turbo: 29.7 (#89)
- Kimi K2.7 Code: 39.0 (#61)

| Benchmark | GLM-5V-Turbo | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | — | 57.9% |
| CritPt | — | 10% |
| Chess Puzzles | — | 21% |
| LMArena Hard Prompts | 1443 | — |
| Surface Evolver Bench | — | 48.8% |
| Epoch Capabilities Index | — | 149.97 |

## Math

- GLM-5V-Turbo: 39.4 (#106)
- Kimi K2.7 Code: 52.9 (#48)

| Benchmark | GLM-5V-Turbo | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 54% |
| FrontierMath Tier 4 | — | 12.2% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| LMArena Math | 1441 | — |

## Knowledge

- GLM-5V-Turbo: 40.6 (#117)
- Kimi K2.7 Code: 53.5 (#57)

| Benchmark | GLM-5V-Turbo | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | — | 87.9% |
| SimpleQA Verified | — | 36.5% |
| LMArena Expert | 1452 | — |

## Multimodal

- GLM-5V-Turbo: 40.9 (#42)
- Kimi K2.7 Code: —

| Benchmark | GLM-5V-Turbo | Kimi K2.7 Code |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |

## Multilingual

- GLM-5V-Turbo: 53.0 (#73)
- Kimi K2.7 Code: —

| Benchmark | GLM-5V-Turbo | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1420 | — |
| LMArena Chinese | 1488 | — |
| LMArena French | 1444 | — |
| LMArena German | 1423 | — |
| LMArena Korean | 1396 | — |
| LMArena Russian | 1431 | — |
| LMArena Spanish | 1450 | — |

## Instruction Following

- GLM-5V-Turbo: 75.0 (#80)
- Kimi K2.7 Code: —

| Benchmark | GLM-5V-Turbo | Kimi K2.7 Code |
|---|---|---|
| LMArena Instruction Following | 1423 | — |

## Long Context

- GLM-5V-Turbo: 44.0 (#80)
- Kimi K2.7 Code: —

| Benchmark | GLM-5V-Turbo | Kimi K2.7 Code |
|---|---|---|
| LMArena Longer Query | 1438 | — |

## Writing & Preference

- GLM-5V-Turbo: 62.5 (#73)
- Kimi K2.7 Code: —

| Benchmark | GLM-5V-Turbo | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1437 | — |
| LMArena Creative Writing | 1416 | — |
| LMArena Multi-Turn | 1432 | — |

## FAQ

### Is GLM-5V-Turbo better than Kimi K2.7 Code?

GLM-5V-Turbo and Kimi K2.7 Code score almost the same on the Noometry Index (43.8 vs 43.3), so choose on price, context window or the category you care about most.

### Which is cheaper, GLM-5V-Turbo or Kimi K2.7 Code?

Kimi K2.7 Code is cheaper. It lists at $0.95 per million input tokens and $4 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.

### Is GLM-5V-Turbo or Kimi K2.7 Code better for coding?

They score almost the same on coding (42.1 vs 42.9); test both on your own repository before choosing.

### Which has the bigger context window?

Kimi K2.7 Code does, with 262K tokens against 200K.

### How many benchmarks do GLM-5V-Turbo and Kimi K2.7 Code share?

1 benchmark has published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Kimi K2.7 Code has 19.