# GLM-4.7-Flash vs Granite 3.1 8b Instruct

> GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 31.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-granite-3-1-8b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. GLM-4.7-Flash scores higher in 7 categories and Granite 3.1 8b Instruct in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.7-Flash leads 46.8 to 31.1.

## Snapshot

| | GLM-4.7-Flash | Granite 3.1 8b Instruct |
|---|---|---|
| Provider | Z.ai (Zhipu) | IBM |
| Noometry Index | 38.4 | 31.8 |
| Rank | 175 | 256 |
| Context | 200K | — |
| Input $/M | $0.06 | — |
| Output $/M | $0.40 | — |
| Weights | Open | Open |

## Coding

- GLM-4.7-Flash: 40.0 (#133)
- Granite 3.1 8b Instruct: 33.9 (#232)

| Benchmark | GLM-4.7-Flash | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Coding | 1383 | 1186 |

## Agentic & Tool Use

- GLM-4.7-Flash: —
- Granite 3.1 8b Instruct: 23.9 (#113)

| Benchmark | GLM-4.7-Flash | Granite 3.1 8b Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.1% |

## Reasoning

- GLM-4.7-Flash: 20.2 (#224)
- Granite 3.1 8b Instruct: 21.2 (#204)

| Benchmark | GLM-4.7-Flash | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1146 |
| Chess Puzzles | 0% | — |

## Math

- GLM-4.7-Flash: 34.4 (#159)
- Granite 3.1 8b Instruct: 30.4 (#210)

| Benchmark | GLM-4.7-Flash | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Math | 1354 | 1152 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |

## Knowledge

- GLM-4.7-Flash: 35.4 (#177)
- Granite 3.1 8b Instruct: 30.6 (#218)

| Benchmark | GLM-4.7-Flash | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Expert | 1357 | 1142 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |

## Multilingual

- GLM-4.7-Flash: 46.8 (#152)
- Granite 3.1 8b Instruct: 31.1 (#255)

| Benchmark | GLM-4.7-Flash | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Non-English | 1331 | 1099 |
| LMArena Chinese | 1403 | 1145 |
| LMArena Russian | 1333 | 1092 |
| LMArena French | 1332 | — |
| LMArena German | 1336 | — |
| LMArena Korean | 1284 | — |
| LMArena Spanish | 1351 | — |

## Instruction Following

- GLM-4.7-Flash: 70.3 (#162)
- Granite 3.1 8b Instruct: 58.9 (#254)

| Benchmark | GLM-4.7-Flash | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Instruction Following | 1327 | 1131 |

## Long Context

- GLM-4.7-Flash: 40.9 (#143)
- Granite 3.1 8b Instruct: 35.2 (#236)

| Benchmark | GLM-4.7-Flash | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Longer Query | 1345 | 1162 |

## Writing & Preference

- GLM-4.7-Flash: 47.7 (#206)
- Granite 3.1 8b Instruct: 35.7 (#261)

| Benchmark | GLM-4.7-Flash | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Text | 1351 | 1150 |
| LMArena Creative Writing | 1297 | 1129 |
| LMArena Multi-Turn | 1342 | 1108 |
| EQ-Bench Creative Writing | 1125 | — |

## FAQ

### Is GLM-4.7-Flash better than Granite 3.1 8b Instruct?

GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 31.8 on the Noometry Index.

### Is GLM-4.7-Flash or Granite 3.1 8b Instruct better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.0 versus 33.9 in the Noometry coding category.

### How many benchmarks do GLM-4.7-Flash and Granite 3.1 8b Instruct share?

12 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Granite 3.1 8b Instruct has 13.