# GLM-4.6 vs o3-pro

> o3-pro is the stronger model overall, scoring 42.7 to 40.9 on the Noometry Index. GLM-4.6 costs 35× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-6-vs-o3-pro
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. GLM-4.6 scores higher in 2 categories and o3-pro in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.1 to 43.4.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 47.4% for GLM-4.6 and 72.1% for o3-pro.
- GLM-4.6 is cheaper at $0.60 / $2.20 per million input/output tokens, against $20 / $80 for o3-pro.
- GLM-4.6 accepts more context: 205K tokens versus 200K.
- GLM-4.6 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.6 | o3-pro |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 40.9 | 42.7 |
| Rank | 132 | 94 |
| Context | 205K | 200K |
| Input $/M | $0.60 | $20 |
| Output $/M | $2.20 | $80 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.6: 39.9 (#137)
- o3-pro: 55.1 (#22)

| Benchmark | GLM-4.6 | o3-pro |
|---|---|---|
| SWE-bench Verified (bash only) | 55.4% | — |
| Aider Polyglot | — | 84.9% |
| LMArena WebDev | 1339 | — |
| SciCode | 38.4% | — |
| WeirdML | — | 58.2% |
| LMArena Coding | 1449 | — |
| ALE-Bench | 340.82 | — |

## Agentic & Tool Use

- GLM-4.6: 32.1 (#60)
- o3-pro: —

| Benchmark | GLM-4.6 | o3-pro |
|---|---|---|
| Terminal-Bench | 24.5% | — |
| Berkeley Function Calling Leaderboard | 72.4% | — |

## Reasoning

- GLM-4.6: 23.1 (#168)
- o3-pro: 24.1 (#152)

| Benchmark | GLM-4.6 | o3-pro |
|---|---|---|
| Kagi LLM Benchmark | 47.4% | 72.1% |
| ARC-AGI-2 | — | 4.9% |
| ARC-AGI-1 | — | 59.3% |
| CritPt | 1.1% | — |
| LMArena Hard Prompts | 1440 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| Epoch Capabilities Index | — | 147.43 |

## Math

- GLM-4.6: 36.4 (#115)
- o3-pro: —

| Benchmark | GLM-4.6 | o3-pro |
|---|---|---|
| LMArena Math | 1431 | — |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GLM-4.6: 39.6 (#118)
- o3-pro: 29.0 (#234)

| Benchmark | GLM-4.6 | o3-pro |
|---|---|---|
| Vectara Hallucination Rate | 9.5% | 23.3% |
| Confabulations | — | 14.2% |
| LMArena Expert | 1432 | — |

## Multilingual

- GLM-4.6: 53.6 (#62)
- o3-pro: —

| Benchmark | GLM-4.6 | o3-pro |
|---|---|---|
| LMArena Non-English | 1426 | — |
| LMArena Chinese | 1500 | — |
| LMArena French | 1459 | — |
| LMArena German | 1447 | — |
| LMArena Japanese | 1394 | — |
| LMArena Korean | 1401 | — |
| LMArena Russian | 1418 | — |
| LMArena Spanish | 1436 | — |

## Instruction Following

- GLM-4.6: 74.5 (#93)
- o3-pro: —

| Benchmark | GLM-4.6 | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1410 | — |

## Long Context

- GLM-4.6: 43.4 (#91)
- o3-pro: 72.1 (#1)

| Benchmark | GLM-4.6 | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1423 | — |

## Writing & Preference

- GLM-4.6: 61.3 (#86)
- o3-pro: 57.1 (#128)

| Benchmark | GLM-4.6 | o3-pro |
|---|---|---|
| LMArena Text | 1440 | — |
| LMArena Creative Writing | 1411 | — |
| Short-Story Creative Writing | — | 84.4% |
| EQ-Bench Creative Writing | 1411 | — |
| LMArena Multi-Turn | 1427 | — |

## FAQ

### Is GLM-4.6 better than o3-pro?

o3-pro is the stronger model overall, scoring 42.7 to 40.9 on the Noometry Index. GLM-4.6 costs 35× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.6 or o3-pro?

GLM-4.6 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; o3-pro lists at $20 and $80.

### Is GLM-4.6 or o3-pro better for coding?

o3-pro scores higher on coding benchmarks: 55.1 versus 39.9 in the Noometry coding category.

### Which has the bigger context window?

GLM-4.6 does, with 205K tokens against 200K.

### How many benchmarks do GLM-4.6 and o3-pro share?

2 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and o3-pro has 12.