Model comparison
GLM-4.5 vs Tulu 3 (Tülu 3) 70B
GLM-4.5 is the stronger model overall, scoring 41.4 to 32.6 on the Noometry Index.
Last verified . 11 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 11 benchmarks with published results for both. GLM-4.5 scores higher in 8 categories and Tulu 3 (Tülu 3) 70B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.5 leads 36.3 to 13.3.
Side by side
| GLM-4.5 | Tulu 3 (Tülu 3) 70B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Allen Institute for AI (Ai2) |
| Noometry Index | 41.4 | 32.6 |
| Released | 2025-07-27 | 2024-11-21 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 27 | 14 |
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Category by category
Coding GLM-4.5 leads
GLM-4.5: 41.1 (#121), Tulu 3 (Tülu 3) 70B: 35.4 (#211)
| Benchmark | GLM-4.5 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Coding | 1434 | 1236 |
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 27.7 (#99), Tulu 3 (Tülu 3) 70B: 22.9 (#172)
| Benchmark | GLM-4.5 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Hard Prompts | 1430 | 1220 |
| Kagi LLM Benchmark | 57.9% | — |
Math GLM-4.5 leads
GLM-4.5: 36.3 (#119), Tulu 3 (Tülu 3) 70B: 13.3 (#297)
| Benchmark | GLM-4.5 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Math | 1427 | 1242 |
| OTIS Mock AIME 2024-2025 | — | 4.4% |
| MATH Level 5 | — | 42.7% |
Knowledge GLM-4.5 leads
GLM-4.5: 35.5 (#172), Tulu 3 (Tülu 3) 70B: 25.1 (#257)
| Benchmark | GLM-4.5 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| GPQA Diamond | — | 46.3% |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| LMArena Expert | 1433 | — |
Multilingual GLM-4.5 leads
GLM-4.5: 53.0 (#74), Tulu 3 (Tülu 3) 70B: 40.1 (#217)
| Benchmark | GLM-4.5 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Non-English | 1417 | 1236 |
| LMArena Chinese | 1465 | 1249 |
| LMArena Russian | 1414 | 1246 |
| LMArena French | 1423 | — |
| LMArena German | 1406 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1382 | — |
| LMArena Spanish | 1454 | — |
Instruction Following GLM-4.5 leads
GLM-4.5: 74.3 (#100), Tulu 3 (Tülu 3) 70B: 65.0 (#222)
| Benchmark | GLM-4.5 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Instruction Following | 1405 | 1233 |
Long Context GLM-4.5 leads
GLM-4.5: 38.2 (#196), Tulu 3 (Tülu 3) 70B: 37.1 (#217)
| Benchmark | GLM-4.5 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Longer Query | 1413 | 1224 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference GLM-4.5 leads
GLM-4.5: 57.7 (#121), Tulu 3 (Tülu 3) 70B: 45.8 (#218)
| Benchmark | GLM-4.5 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Text | 1430 | 1256 |
| LMArena Creative Writing | 1395 | 1231 |
| LMArena Multi-Turn | 1415 | 1252 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than Tulu 3 (Tülu 3) 70B?
GLM-4.5 is the stronger model overall, scoring 41.4 to 32.6 on the Noometry Index.
Is GLM-4.5 or Tulu 3 (Tülu 3) 70B better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.1 versus 35.4 in the Noometry coding category.
How many benchmarks do GLM-4.5 and Tulu 3 (Tülu 3) 70B share?
11 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Tulu 3 (Tülu 3) 70B has 14.