Model comparison
GLM-5.3 vs Kimi K2 Thinking Turbo
GLM-5.3 is the stronger model overall, scoring 54.6 to 45.4 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. GLM-5.3 scores higher in 8 categories and Kimi K2 Thinking Turbo in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-5.3 leads 59.0 to 38.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 91.1% for GLM-5.3 and 83.1% for Kimi K2 Thinking Turbo.
Side by side
| GLM-5.3 | Kimi K2 Thinking Turbo | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Moonshot AI |
| Noometry Index | 54.6 | 45.4 |
| Released | 2026-08-14 | 2025-11-06 |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.40 | — |
| Output $ / M tokens | $4.40 | — |
| Results tracked | 41 | 21 |
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Category by category
Coding GLM-5.3 leads
GLM-5.3: 59.0 (#12), Kimi K2 Thinking Turbo: 38.1 (#166)
| Benchmark | GLM-5.3 | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena WebDev | 1623 | 1322 |
| LMArena Coding | 1499 | 1454 |
| DeepSWE | 69% | — |
| FrontierCode | 40.1% | — |
| FrontierSWE | 30.2% | — |
| SciCode | 59% | — |
| WeirdML | 75.4% | — |
| ALE-Bench | 1,317 | — |
Agentic & Tool Use Not comparable
GLM-5.3: 36.3 (#34), Kimi K2 Thinking Turbo: —
| Benchmark | GLM-5.3 | Kimi K2 Thinking Turbo |
|---|---|---|
| APEX-Agents | 56.6% | — |
| Vending-Bench 2 | 8,164 | — |
Reasoning GLM-5.3 leads
GLM-5.3: 45.2 (#42), Kimi K2 Thinking Turbo: 31.4 (#72)
| Benchmark | GLM-5.3 | Kimi K2 Thinking Turbo |
|---|---|---|
| Chess Puzzles | 21% | 20% |
| LMArena Hard Prompts | 1491 | 1428 |
| NYT Connections (extended) | 74.2% | — |
| CritPt | 19.1% | — |
| Mystery Game Puzzles | 33% | — |
| DTBench | 87.7% | — |
| LMCA | 55.5% | — |
| Bench to the Future 3 | 0.15 | — |
| Epoch Capabilities Index | 155.56 | — |
Math GLM-5.3 leads
GLM-5.3: 62.1 (#27), Kimi K2 Thinking Turbo: 45.5 (#62)
| Benchmark | GLM-5.3 | Kimi K2 Thinking Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 91.1% | 83.1% |
| LMArena Math | 1493 | 1429 |
| FrontierMath (Tiers 1-3) | 68.8% | — |
| FrontierMath Tier 4 | 29.3% | — |
| ProofBench | 49% | — |
Knowledge GLM-5.3 leads
GLM-5.3: 58.3 (#34), Kimi K2 Thinking Turbo: 50.9 (#64)
| Benchmark | GLM-5.3 | Kimi K2 Thinking Turbo |
|---|---|---|
| GPQA Diamond | 90.9% | 84.2% |
| LMArena Expert | 1512 | 1439 |
| SimpleQA Verified | 41% | — |
Multilingual GLM-5.3 leads
GLM-5.3: 55.9 (#27), Kimi K2 Thinking Turbo: 51.6 (#104)
| Benchmark | GLM-5.3 | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Non-English | 1457 | 1398 |
| LMArena Chinese | 1523 | 1457 |
| LMArena French | 1499 | 1425 |
| LMArena German | 1505 | 1390 |
| LMArena Japanese | 1438 | 1356 |
| LMArena Korean | 1478 | 1329 |
| LMArena Russian | 1460 | 1390 |
| LMArena Spanish | 1444 | 1407 |
Instruction Following GLM-5.3 leads
GLM-5.3: 77.8 (#15), Kimi K2 Thinking Turbo: 74.2 (#103)
| Benchmark | GLM-5.3 | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Instruction Following | 1481 | 1403 |
Long Context GLM-5.3 leads
GLM-5.3: 45.5 (#32), Kimi K2 Thinking Turbo: 43.2 (#99)
| Benchmark | GLM-5.3 | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Longer Query | 1485 | 1415 |
Writing & Preference GLM-5.3 leads
GLM-5.3: 75.9 (#6), Kimi K2 Thinking Turbo: 60.2 (#99)
| Benchmark | GLM-5.3 | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Text | 1473 | 1415 |
| LMArena Creative Writing | 1459 | 1373 |
| LMArena Multi-Turn | 1473 | 1414 |
| EQ-Bench Creative Writing | 2075 | — |
Frequently asked questions
Is GLM-5.3 better than Kimi K2 Thinking Turbo?
GLM-5.3 is the stronger model overall, scoring 54.6 to 45.4 on the Noometry Index.
Is GLM-5.3 or Kimi K2 Thinking Turbo better for coding?
GLM-5.3 scores higher on coding benchmarks: 59.0 versus 38.1 in the Noometry coding category.
How many benchmarks do GLM-5.3 and Kimi K2 Thinking Turbo share?
21 benchmarks have published results for both models. GLM-5.3 has 41 scored results on Noometry and Kimi K2 Thinking Turbo has 21.