# GLM-4.7 vs Tulu 3 (Tülu 3) 70B

> GLM-4.7 is the stronger model overall, scoring 41.7 to 32.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-7-vs-tulu-3-70b
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. GLM-4.7 scores higher in 8 categories and Tulu 3 (Tülu 3) 70B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.7 leads 37.7 to 13.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 83.3% for GLM-4.7 and 4.4% for Tulu 3 (Tülu 3) 70B.

## Snapshot

| | GLM-4.7 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| Provider | Z.ai (Zhipu) | Allen Institute for AI (Ai2) |
| Noometry Index | 41.7 | 32.6 |
| Rank | 117 | 242 |
| Context | 205K | — |
| Input $/M | $0.60 | — |
| Output $/M | $2.20 | — |
| Weights | Open | Open |

## Coding

- GLM-4.7: 43.6 (#74)
- Tulu 3 (Tülu 3) 70B: 35.4 (#211)

| Benchmark | GLM-4.7 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Coding | 1454 | 1236 |
| LMArena WebDev | 1435 | — |
| SciCode | 45.1% | — |
| ALE-Bench | 399.48 | — |

## Agentic & Tool Use

- GLM-4.7: 26.4 (#96)
- Tulu 3 (Tülu 3) 70B: —

| Benchmark | GLM-4.7 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| Terminal-Bench | 33.4% | — |
| Vending-Bench 2 | 2,377 | — |

## Reasoning

- GLM-4.7: 23.7 (#161)
- Tulu 3 (Tülu 3) 70B: 22.9 (#172)

| Benchmark | GLM-4.7 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1220 |
| SimpleBench | 47.7% | — |
| CritPt | 1.7% | — |
| Chess Puzzles | 6% | — |
| Epoch Capabilities Index | 143.53 | — |

## Math

- GLM-4.7: 37.7 (#92)
- Tulu 3 (Tülu 3) 70B: 13.3 (#297)

| Benchmark | GLM-4.7 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 83.3% | 4.4% |
| LMArena Math | 1423 | 1242 |
| ProofBench | 6% | — |
| MATH Level 5 | — | 42.7% |
| FrontierMath (Feb 2025 set) | 2.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- GLM-4.7: 47.0 (#74)
- Tulu 3 (Tülu 3) 70B: 25.1 (#257)

| Benchmark | GLM-4.7 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| GPQA Diamond | 83.3% | 46.3% |
| SimpleQA Verified | 32.2% | — |
| Vectara Hallucination Rate | 11.7% | — |
| LMArena Expert | 1424 | — |

## Multilingual

- GLM-4.7: 53.0 (#75)
- Tulu 3 (Tülu 3) 70B: 40.1 (#217)

| Benchmark | GLM-4.7 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Non-English | 1417 | 1236 |
| LMArena Chinese | 1495 | 1249 |
| LMArena Russian | 1423 | 1246 |
| LMArena French | 1432 | — |
| LMArena German | 1426 | — |
| LMArena Japanese | 1439 | — |
| LMArena Korean | 1401 | — |
| LMArena Spanish | 1433 | — |

## Instruction Following

- GLM-4.7: 74.6 (#90)
- Tulu 3 (Tülu 3) 70B: 65.0 (#222)

| Benchmark | GLM-4.7 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Instruction Following | 1411 | 1233 |

## Long Context

- GLM-4.7: 42.8 (#111)
- Tulu 3 (Tülu 3) 70B: 37.1 (#217)

| Benchmark | GLM-4.7 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Longer Query | 1432 | 1224 |
| CL-bench | 15.9% | — |
| CL-bench Life | 10.9% | — |

## Writing & Preference

- GLM-4.7: 61.1 (#89)
- Tulu 3 (Tülu 3) 70B: 45.8 (#218)

| Benchmark | GLM-4.7 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Text | 1436 | 1256 |
| LMArena Creative Writing | 1401 | 1231 |
| LMArena Multi-Turn | 1446 | 1252 |
| EQ-Bench Creative Writing | 1413 | — |

## FAQ

### Is GLM-4.7 better than Tulu 3 (Tülu 3) 70B?

GLM-4.7 is the stronger model overall, scoring 41.7 to 32.6 on the Noometry Index.

### Is GLM-4.7 or Tulu 3 (Tülu 3) 70B better for coding?

GLM-4.7 scores higher on coding benchmarks: 43.6 versus 35.4 in the Noometry coding category.

### How many benchmarks do GLM-4.7 and Tulu 3 (Tülu 3) 70B share?

13 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Tulu 3 (Tülu 3) 70B has 14.