Model comparison
GLM-5 vs Kimi K2 Thinking Turbo
GLM-5 and Kimi K2 Thinking Turbo score almost the same on the Noometry Index (46.1 vs 45.8), so choose on price, context window or the category you care about most.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. GLM-5 scores higher in 6 categories and Kimi K2 Thinking Turbo in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-5 leads 49.0 to 38.4.
- The biggest single-benchmark swing is Chess Puzzles: 10% for GLM-5 and 20% for Kimi K2 Thinking Turbo.
Side by side
| GLM-5 | Kimi K2 Thinking Turbo | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Moonshot AI |
| Noometry Index | 46.1 | 45.8 |
| Released | 2026-02-11 | 2025-11-06 |
| Weights | Open | Open |
| Context window | 205K | — |
| Max output | 131K | — |
| Input $ / M tokens | $1 | — |
| Output $ / M tokens | $3.20 | — |
| Results tracked | 45 | 21 |
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Category by category
Coding GLM-5 leads
GLM-5: 49.0 (#52), Kimi K2 Thinking Turbo: 38.4 (#178)
| Benchmark | GLM-5 | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena WebDev | 1434 | 1322 |
| LMArena Coding | 1461 | 1454 |
| SWE-bench Verified | 72.1% | — |
| SWE-bench Verified (bash only) | 72.8% | — |
| SWE-bench Multilingual | 69.7% | — |
| WeirdML | 48.2% | — |
| ALE-Bench | 765.62 | — |
Agentic & Tool Use Not comparable
GLM-5: 31.1 (#71), Kimi K2 Thinking Turbo: —
| Benchmark | GLM-5 | Kimi K2 Thinking Turbo |
|---|---|---|
| Terminal-Bench | 52.4% | — |
| τ²-bench Airline | 82.5% | — |
| τ²-bench Banking | 9.8% | — |
| τ²-bench Retail | 73.7% | — |
| τ²-bench Telecom | 86.8% | — |
| Vending-Bench 2 | 4,432 | — |
Reasoning Kimi K2 Thinking Turbo leads
GLM-5: 27.6 (#116), Kimi K2 Thinking Turbo: 32.5 (#75)
| Benchmark | GLM-5 | Kimi K2 Thinking Turbo |
|---|---|---|
| Chess Puzzles | 10% | 20% |
| LMArena Hard Prompts | 1452 | 1428 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 53.2% | — |
| Kagi LLM Benchmark | 75% | — |
| NYT Connections (extended) | 74.8% | — |
| ARC-AGI-1 | 44.7% | — |
| Epoch Capabilities Index | 145.83 | — |
| ForecastBench | 61 | — |
Math Kimi K2 Thinking Turbo leads
GLM-5: 46.4 (#71), Kimi K2 Thinking Turbo: 47.4 (#68)
| Benchmark | GLM-5 | Kimi K2 Thinking Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 80% | 83.1% |
| LMArena Math | 1440 | 1429 |
| MathArena Final-Answer Competitions | 65.7% | — |
| FrontierMath (Feb 2025 set) | 16.4% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GLM-5 leads
GLM-5: 52.3 (#64), Kimi K2 Thinking Turbo: 50.9 (#69)
| Benchmark | GLM-5 | Kimi K2 Thinking Turbo |
|---|---|---|
| GPQA Diamond | 87.8% | 84.2% |
| LMArena Expert | 1454 | 1439 |
| Vectara Hallucination Rate | 10.1% | — |
Multilingual GLM-5 leads
GLM-5: 53.7 (#58), Kimi K2 Thinking Turbo: 51.4 (#109)
| Benchmark | GLM-5 | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Non-English | 1430 | 1398 |
| LMArena Chinese | 1511 | 1456 |
| LMArena French | 1455 | 1425 |
| LMArena German | 1445 | 1390 |
| LMArena Japanese | 1416 | 1357 |
| LMArena Korean | 1423 | 1330 |
| LMArena Russian | 1436 | 1391 |
| LMArena Spanish | 1454 | 1406 |
Instruction Following GLM-5 leads
GLM-5: 75.2 (#67), Kimi K2 Thinking Turbo: 74.0 (#109)
| Benchmark | GLM-5 | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Instruction Following | 1428 | 1403 |
Long Context GLM-5 leads
GLM-5: 44.7 (#60), Kimi K2 Thinking Turbo: 43.2 (#102)
| Benchmark | GLM-5 | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Longer Query | 1446 | 1415 |
| CL-bench | 18.7% | — |
Writing & Preference GLM-5 leads
GLM-5: 66.0 (#38), Kimi K2 Thinking Turbo: 60.0 (#104)
| Benchmark | GLM-5 | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Text | 1446 | 1415 |
| LMArena Creative Writing | 1439 | 1374 |
| LMArena Multi-Turn | 1456 | 1414 |
| EQ-Bench Creative Writing | 1601 | — |
Frequently asked questions
Is GLM-5 better than Kimi K2 Thinking Turbo?
GLM-5 and Kimi K2 Thinking Turbo score almost the same on the Noometry Index (46.1 vs 45.8), so choose on price, context window or the category you care about most.
Is GLM-5 or Kimi K2 Thinking Turbo better for coding?
GLM-5 scores higher on coding benchmarks: 49.0 versus 38.4 in the Noometry coding category.
How many benchmarks do GLM-5 and Kimi K2 Thinking Turbo share?
21 benchmarks have published results for both models. GLM-5 has 45 scored results on Noometry and Kimi K2 Thinking Turbo has 21.