Model comparison
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.
Last verified . 1 shared benchmarks.
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.
Side by side
| GLM-5V-Turbo | Kimi K2.7 Code | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Moonshot AI |
| Noometry Index | 43.8 | 43.3 |
| Released | 2026-04-01 | 2026-06-12 |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 131K | 262K |
| Input $ / M tokens | $1.20 | $0.95 |
| Output $ / M tokens | $4 | $4 |
| Results tracked | 19 | 19 |
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Category by category
Coding Too close to call
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 Not comparable
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 Kimi K2.7 Code leads
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 Kimi K2.7 Code leads
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 Kimi K2.7 Code leads
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 Not comparable
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 Not comparable
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 Not comparable
GLM-5V-Turbo: 75.0 (#80), Kimi K2.7 Code: —
| Benchmark | GLM-5V-Turbo | Kimi K2.7 Code |
|---|---|---|
| LMArena Instruction Following | 1423 | — |
Long Context Not comparable
GLM-5V-Turbo: 44.0 (#80), Kimi K2.7 Code: —
| Benchmark | GLM-5V-Turbo | Kimi K2.7 Code |
|---|---|---|
| LMArena Longer Query | 1438 | — |
Writing & Preference Not comparable
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 | — |
Frequently asked questions
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.