# GLM-4.6 vs Granite 4.0 Micro

> GLM-4.6 is the stronger model overall, scoring 41.4 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 25× less per token, which makes it the better buy when GLM-4.6's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-6-vs-granite-4-0-micro
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where GLM-4.6 leads 40.2 to 9.9.
- Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $0.60 / $2.20 for GLM-4.6.
- GLM-4.6 accepts more context: 205K tokens versus 131K.

## Snapshot

| | GLM-4.6 | Granite 4.0 Micro |
|---|---|---|
| Provider | Z.ai (Zhipu) | IBM |
| Noometry Index | 41.4 | 29.0 |
| Rank | 135 | 318 |
| Context | 205K | 131K |
| Input $/M | $0.60 | $0.017 |
| Output $/M | $2.20 | $0.11 |
| Weights | Open | Open |

## Coding

- GLM-4.6: 40.1 (#148)
- Granite 4.0 Micro: —

| Benchmark | GLM-4.6 | Granite 4.0 Micro |
|---|---|---|
| SWE-bench Verified (bash only) | 55.4% | — |
| LMArena WebDev | 1340 | — |
| SciCode | 38.4% | — |
| LMArena Coding | 1449 | — |
| ALE-Bench | 340.82 | — |

## Agentic & Tool Use

- GLM-4.6: 32.3 (#66)
- Granite 4.0 Micro: —

| Benchmark | GLM-4.6 | Granite 4.0 Micro |
|---|---|---|
| Terminal-Bench | 24.5% | — |
| Berkeley Function Calling Leaderboard | 72.4% | — |

## Reasoning

- GLM-4.6: 23.7 (#172)
- Granite 4.0 Micro: 19.2 (#265)

| Benchmark | GLM-4.6 | Granite 4.0 Micro |
|---|---|---|
| Kagi LLM Benchmark | 47.4% | — |
| CritPt | 1.1% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1440 | — |

## Math

- GLM-4.6: 39.1 (#111)
- Granite 4.0 Micro: 12.0 (#307)

| Benchmark | GLM-4.6 | Granite 4.0 Micro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.8% |
| Omni-MATH | — | 20.9% |
| LMArena Math | 1432 | — |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GLM-4.6: 40.2 (#124)
- Granite 4.0 Micro: 9.9 (#304)

| Benchmark | GLM-4.6 | Granite 4.0 Micro |
|---|---|---|
| GPQA Diamond | — | 28.3% |
| MMLU-Pro | — | 39.5% |
| Vectara Hallucination Rate | 9.5% | — |
| GPQA (HELM) | — | 30.7% |
| LMArena Expert | 1431 | — |

## Multilingual

- GLM-4.6: 53.5 (#66)
- Granite 4.0 Micro: —

| Benchmark | GLM-4.6 | Granite 4.0 Micro |
|---|---|---|
| LMArena Non-English | 1426 | — |
| LMArena Chinese | 1499 | — |
| LMArena French | 1459 | — |
| LMArena German | 1447 | — |
| LMArena Japanese | 1393 | — |
| LMArena Korean | 1400 | — |
| LMArena Russian | 1419 | — |
| LMArena Spanish | 1436 | — |

## Instruction Following

- GLM-4.6: 74.3 (#98)
- Granite 4.0 Micro: 69.9 (#169)

| Benchmark | GLM-4.6 | Granite 4.0 Micro |
|---|---|---|
| IFEval | — | 84.9% |
| LMArena Instruction Following | 1410 | — |

## Long Context

- GLM-4.6: 43.4 (#94)
- Granite 4.0 Micro: —

| Benchmark | GLM-4.6 | Granite 4.0 Micro |
|---|---|---|
| LMArena Longer Query | 1422 | — |

## Writing & Preference

- GLM-4.6: 61.1 (#90)
- Granite 4.0 Micro: 46.7 (#216)

| Benchmark | GLM-4.6 | Granite 4.0 Micro |
|---|---|---|
| LMArena Text | 1440 | — |
| LMArena Creative Writing | 1411 | — |
| EQ-Bench Creative Writing | 1411 | — |
| WildBench | — | 67% |
| LMArena Multi-Turn | 1427 | — |

## FAQ

### Is GLM-4.6 better than Granite 4.0 Micro?

GLM-4.6 is the stronger model overall, scoring 41.4 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 25× less per token, which makes it the better buy when GLM-4.6's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.6 or Granite 4.0 Micro?

Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; GLM-4.6 lists at $0.60 and $2.20.

### Which has the bigger context window?

GLM-4.6 does, with 205K tokens against 131K.

### How many benchmarks do GLM-4.6 and Granite 4.0 Micro share?

0 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Granite 4.0 Micro has 8.