Model comparison
GLM-4.7-Flash vs Tulu 3 (Tülu 3) 70B
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 33.0 on the Noometry Index.
Last verified . 13 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 13 benchmarks with published results for both. GLM-4.7-Flash scores higher in 7 categories and Tulu 3 (Tülu 3) 70B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.7-Flash leads 36.1 to 14.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 4.4% for Tulu 3 (Tülu 3) 70B.
Side by side
| GLM-4.7-Flash | Tulu 3 (Tülu 3) 70B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Allen Institute for AI (Ai2) |
| Noometry Index | 38.8 | 33.0 |
| Released | 2026-01-19 | 2024-11-21 |
| Weights | Open | Open |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.06 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 21 | 14 |
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Category by category
Coding GLM-4.7-Flash leads
GLM-4.7-Flash: 40.6 (#135), Tulu 3 (Tülu 3) 70B: 36.0 (#214)
| Benchmark | GLM-4.7-Flash | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Coding | 1383 | 1235 |
Reasoning Tulu 3 (Tülu 3) 70B leads
GLM-4.7-Flash: 20.9 (#229), Tulu 3 (Tülu 3) 70B: 23.9 (#169)
| Benchmark | GLM-4.7-Flash | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1220 |
| Chess Puzzles | 0% | — |
Math GLM-4.7-Flash leads
GLM-4.7-Flash: 36.1 (#173), Tulu 3 (Tülu 3) 70B: 14.2 (#303)
| Benchmark | GLM-4.7-Flash | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 58.3% | 4.4% |
| LMArena Math | 1355 | 1242 |
| MATH Level 5 | — | 42.7% |
Knowledge GLM-4.7-Flash leads
GLM-4.7-Flash: 35.5 (#184), Tulu 3 (Tülu 3) 70B: 25.0 (#264)
| Benchmark | GLM-4.7-Flash | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| GPQA Diamond | 60.5% | 46.3% |
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1357 | — |
Multilingual GLM-4.7-Flash leads
GLM-4.7-Flash: 46.5 (#158), Tulu 3 (Tülu 3) 70B: 39.9 (#222)
| Benchmark | GLM-4.7-Flash | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Non-English | 1330 | 1236 |
| LMArena Chinese | 1403 | 1249 |
| LMArena Russian | 1332 | 1246 |
| LMArena French | 1332 | — |
| LMArena German | 1337 | — |
| LMArena Korean | 1283 | — |
| LMArena Spanish | 1350 | — |
Instruction Following GLM-4.7-Flash leads
GLM-4.7-Flash: 70.1 (#167), Tulu 3 (Tülu 3) 70B: 64.8 (#227)
| Benchmark | GLM-4.7-Flash | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Instruction Following | 1327 | 1233 |
Long Context GLM-4.7-Flash leads
GLM-4.7-Flash: 40.9 (#148), Tulu 3 (Tülu 3) 70B: 37.1 (#222)
| Benchmark | GLM-4.7-Flash | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Longer Query | 1345 | 1224 |
Writing & Preference GLM-4.7-Flash leads
GLM-4.7-Flash: 47.4 (#210), Tulu 3 (Tülu 3) 70B: 45.6 (#223)
| Benchmark | GLM-4.7-Flash | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Text | 1351 | 1256 |
| LMArena Creative Writing | 1297 | 1231 |
| LMArena Multi-Turn | 1342 | 1252 |
| EQ-Bench Creative Writing | 1125 | — |
Frequently asked questions
Is GLM-4.7-Flash better than Tulu 3 (Tülu 3) 70B?
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 33.0 on the Noometry Index.
Is GLM-4.7-Flash or Tulu 3 (Tülu 3) 70B better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 36.0 in the Noometry coding category.
How many benchmarks do GLM-4.7-Flash and Tulu 3 (Tülu 3) 70B share?
13 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Tulu 3 (Tülu 3) 70B has 14.