# GLM-4.7-Flash vs Olmo 2 0325 32b Instruct

> GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 32.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-olmo-2-0325-32b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. GLM-4.7-Flash scores higher in 7 categories and Olmo 2 0325 32b Instruct in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7-Flash leads 35.4 to 19.2.

## Snapshot

| | GLM-4.7-Flash | Olmo 2 0325 32b Instruct |
|---|---|---|
| Provider | Z.ai (Zhipu) | Allen Institute for AI (Ai2) |
| Noometry Index | 38.4 | 32.2 |
| Rank | 175 | 248 |
| Context | 200K | — |
| Input $/M | $0.06 | — |
| Output $/M | $0.40 | — |
| Weights | Open | Open |

## Coding

- GLM-4.7-Flash: 40.0 (#133)
- Olmo 2 0325 32b Instruct: 34.6 (#222)

| Benchmark | GLM-4.7-Flash | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Coding | 1383 | 1210 |

## Reasoning

- GLM-4.7-Flash: 20.2 (#224)
- Olmo 2 0325 32b Instruct: 22.6 (#174)

| Benchmark | GLM-4.7-Flash | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1208 |
| Chess Puzzles | 0% | — |

## Math

- GLM-4.7-Flash: 34.4 (#159)
- Olmo 2 0325 32b Instruct: 24.8 (#255)

| Benchmark | GLM-4.7-Flash | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Math | 1354 | 1208 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| Omni-MATH | — | 16.1% |

## Knowledge

- GLM-4.7-Flash: 35.4 (#177)
- Olmo 2 0325 32b Instruct: 19.2 (#274)

| Benchmark | GLM-4.7-Flash | Olmo 2 0325 32b Instruct |
|---|---|---|
| GPQA Diamond | 60.5% | — |
| MMLU-Pro | — | 41.4% |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | — | 28.7% |
| LMArena Expert | 1357 | — |

## Multilingual

- GLM-4.7-Flash: 46.8 (#152)
- Olmo 2 0325 32b Instruct: 35.0 (#243)

| Benchmark | GLM-4.7-Flash | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | 1331 | 1160 |
| LMArena Chinese | 1403 | 1192 |
| LMArena Russian | 1333 | 1187 |
| LMArena French | 1332 | — |
| LMArena German | 1336 | — |
| LMArena Korean | 1284 | — |
| LMArena Spanish | 1351 | — |

## Instruction Following

- GLM-4.7-Flash: 70.3 (#162)
- Olmo 2 0325 32b Instruct: 61.8 (#238)

| Benchmark | GLM-4.7-Flash | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1327 | 1186 |
| IFEval | — | 78% |

## Long Context

- GLM-4.7-Flash: 40.9 (#143)
- Olmo 2 0325 32b Instruct: 36.2 (#229)

| Benchmark | GLM-4.7-Flash | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1345 | 1194 |

## Writing & Preference

- GLM-4.7-Flash: 47.7 (#206)
- Olmo 2 0325 32b Instruct: 42.3 (#231)

| Benchmark | GLM-4.7-Flash | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | 1351 | 1218 |
| LMArena Creative Writing | 1297 | 1199 |
| LMArena Multi-Turn | 1342 | 1221 |
| EQ-Bench Creative Writing | 1125 | — |
| WildBench | — | 73.4% |

## FAQ

### Is GLM-4.7-Flash better than Olmo 2 0325 32b Instruct?

GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 32.2 on the Noometry Index.

### Is GLM-4.7-Flash or Olmo 2 0325 32b Instruct better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.0 versus 34.6 in the Noometry coding category.

### How many benchmarks do GLM-4.7-Flash and Olmo 2 0325 32b Instruct share?

11 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.
