Model comparison
GLM-4.5V vs Tulu 3 (Tülu 3) 70B
GLM-4.5V is the stronger model overall, scoring 39.8 to 33.0 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-4.5V 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-4.5V leads 37.4 to 14.2.
Side by side
| GLM-4.5V | Tulu 3 (Tülu 3) 70B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Allen Institute for AI (Ai2) |
| Noometry Index | 39.8 | 33.0 |
| Released | 2025-08-11 | 2024-11-21 |
| Weights | Open | Open |
| Context window | 64K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $1.80 | — |
| Results tracked | 15 | 14 |
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Category by category
Coding GLM-4.5V leads
GLM-4.5V: 39.5 (#155), Tulu 3 (Tülu 3) 70B: 36.0 (#214)
| Benchmark | GLM-4.5V | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Coding | 1347 | 1235 |
Reasoning GLM-4.5V leads
GLM-4.5V: 27.4 (#119), Tulu 3 (Tülu 3) 70B: 23.9 (#169)
| Benchmark | GLM-4.5V | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1220 |
| Kagi LLM Benchmark | 59.8% | — |
Math GLM-4.5V leads
GLM-4.5V: 37.4 (#159), Tulu 3 (Tülu 3) 70B: 14.2 (#303)
| Benchmark | GLM-4.5V | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Math | 1354 | 1242 |
| OTIS Mock AIME 2024-2025 | — | 4.4% |
| MATH Level 5 | — | 42.7% |
Knowledge GLM-4.5V leads
GLM-4.5V: 37.5 (#156), Tulu 3 (Tülu 3) 70B: 25.0 (#264)
| Benchmark | GLM-4.5V | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| GPQA Diamond | — | 46.3% |
| LMArena Expert | 1353 | — |
Multimodal Not comparable
GLM-4.5V: 34.3 (#92), Tulu 3 (Tülu 3) 70B: —
| Benchmark | GLM-4.5V | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual GLM-4.5V leads
GLM-4.5V: 44.6 (#177), Tulu 3 (Tülu 3) 70B: 39.9 (#222)
| Benchmark | GLM-4.5V | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Non-English | 1303 | 1236 |
| LMArena Chinese | 1337 | 1249 |
| LMArena Russian | 1298 | 1246 |
| LMArena Spanish | 1336 | — |
Instruction Following GLM-4.5V leads
GLM-4.5V: 69.2 (#175), Tulu 3 (Tülu 3) 70B: 64.8 (#227)
| Benchmark | GLM-4.5V | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Instruction Following | 1311 | 1233 |
Long Context GLM-4.5V leads
GLM-4.5V: 39.6 (#171), Tulu 3 (Tülu 3) 70B: 37.1 (#222)
| Benchmark | GLM-4.5V | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Longer Query | 1304 | 1224 |
Writing & Preference GLM-4.5V leads
GLM-4.5V: 52.5 (#170), Tulu 3 (Tülu 3) 70B: 45.6 (#223)
| Benchmark | GLM-4.5V | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Text | 1333 | 1256 |
| LMArena Creative Writing | 1295 | 1231 |
| LMArena Multi-Turn | 1332 | 1252 |
Frequently asked questions
Is GLM-4.5V better than Tulu 3 (Tülu 3) 70B?
GLM-4.5V is the stronger model overall, scoring 39.8 to 33.0 on the Noometry Index.
Is GLM-4.5V or Tulu 3 (Tülu 3) 70B better for coding?
GLM-4.5V scores higher on coding benchmarks: 39.5 versus 36.0 in the Noometry coding category.
How many benchmarks do GLM-4.5V and Tulu 3 (Tülu 3) 70B share?
11 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Tulu 3 (Tülu 3) 70B has 14.