# Amazon Nova Pro vs GLM-5.2

> GLM-5.2 is the stronger model overall, scoring 50.9 to 30.5 on the Noometry Index. Amazon Nova Pro costs 1.5× less per token, which makes it the better buy when GLM-5.2's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/amazon-nova-pro-vs-glm-5-2
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Amazon Nova Pro scores higher in 0 categories and GLM-5.2 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5.2 leads 57.1 to 27.1.
- Amazon Nova Pro is cheaper at $0.80 / $3.20 per million input/output tokens, against $1.40 / $4.40 for GLM-5.2.
- GLM-5.2 accepts more context: 1M tokens versus 300K.
- GLM-5.2 has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| Provider | Amazon | Z.ai (Zhipu) |
| Noometry Index | 30.5 | 50.9 |
| Rank | 278 | 38 |
| Context | 300K | 1M |
| Input $/M | $0.80 | $1.40 |
| Output $/M | $3.20 | $4.40 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Pro: 34.6 (#224)
- GLM-5.2: 50.9 (#37)

| Benchmark | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| LMArena Coding | 1270 | 1484 |
| SWE-bench Verified | — | 78.7% |
| DeepSWE | — | 43.8% |
| FrontierCode | — | 24.5% |
| LMArena WebDev | — | 1604 |
| SciCode | — | 50.5% |
| WeirdML | — | 70.1% |
| LiveBench Coding | 38.1% | — |
| ALE-Bench | — | 1,047 |

## Agentic & Tool Use

- Amazon Nova Pro: 16.6 (#139)
- GLM-5.2: 31.6 (#63)

| Benchmark | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25% | — |
| TheAgentCompany | 1.7% | — |
| τ²-bench Banking | — | 37.1% |
| PostTrainBench | — | 31.7% |
| GBAEval | — | 0% |
| Vending-Bench 2 | — | 8,314 |

## Reasoning

- Amazon Nova Pro: 19.2 (#240)
- GLM-5.2: 42.1 (#46)

| Benchmark | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| LMArena Hard Prompts | 1246 | 1480 |
| Epoch Capabilities Index | 123.75 | 151.76 |
| ARC-AGI-2 | — | 22.8% |
| SimpleBench | — | 58.8% |
| Kagi LLM Benchmark | — | 62.6% |
| NYT Connections (extended) | — | 74.3% |
| ARC-AGI-1 | — | 77% |
| CritPt | — | 20.9% |
| Chess Puzzles | — | 21% |
| EBR-Bench | — | 9.5% |
| LiveBench Reasoning | 32.6% | — |
| Mystery Game Puzzles | — | 19% |
| DTBench | — | 93.6% |
| LiveBench Data Analysis | 48.3% | — |
| LMCA | — | 45.8% |
| Surface Evolver Bench | — | 55.6% |
| LiveBench | 43.5% | — |

## Math

- Amazon Nova Pro: 26.4 (#240)
- GLM-5.2: 55.4 (#35)

| Benchmark | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| LMArena Math | 1252 | 1482 |
| FrontierMath (Tiers 1-3) | — | 59.2% |
| FrontierMath Tier 4 | — | 29.3% |
| MathArena Final-Answer Competitions | — | 67.6% |
| OTIS Mock AIME 2024-2025 | — | 86.4% |
| ProofBench | — | 35% |
| Omni-MATH | 24.2% | — |
| LiveBench Math | 38% | — |

## Knowledge

- Amazon Nova Pro: 27.1 (#246)
- GLM-5.2: 57.1 (#36)

| Benchmark | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| LMArena Expert | 1211 | 1484 |
| GPQA Diamond | — | 91.9% |
| Humanity's Last Exam | 4.4% | — |
| SimpleQA Verified | — | 34.2% |
| MMLU-Pro | 67.3% | — |
| Confabulations | 30.1% | — |
| Vectara Hallucination Rate | 5.1% | — |
| GPQA (HELM) | 44.6% | — |
| MMLU | 82% | — |

## Multimodal

- Amazon Nova Pro: 24.5 (#121)
- GLM-5.2: —

| Benchmark | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| LMArena Vision | 980 | — |

## Multilingual

- Amazon Nova Pro: 39.9 (#218)
- GLM-5.2: 56.0 (#25)

| Benchmark | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| LMArena Non-English | 1234 | 1459 |
| LMArena Chinese | 1244 | 1518 |
| LMArena French | 1270 | 1476 |
| LMArena German | 1243 | 1470 |
| LMArena Japanese | 1200 | 1451 |
| LMArena Korean | 1203 | 1445 |
| LMArena Russian | 1240 | 1467 |
| LMArena Spanish | 1182 | 1477 |

## Instruction Following

- Amazon Nova Pro: 65.1 (#221)
- GLM-5.2: 77.1 (#32)

| Benchmark | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| LMArena Instruction Following | 1235 | 1465 |
| LiveBench Instruction Following | 67.1% | — |
| IFEval | 81.5% | — |

## Long Context

- Amazon Nova Pro: 38.1 (#199)
- GLM-5.2: 45.3 (#43)

| Benchmark | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| LMArena Longer Query | 1255 | 1479 |

## Writing & Preference

- Amazon Nova Pro: 44.1 (#221)
- GLM-5.2: 70.7 (#20)

| Benchmark | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| LMArena Text | 1259 | 1470 |
| LMArena Creative Writing | 1212 | 1465 |
| LMArena Multi-Turn | 1245 | 1468 |
| Short-Story Creative Writing | 60.5% | — |
| EQ-Bench Creative Writing | — | 1757 |
| WildBench | 77.7% | — |
| EQ-Bench 4 | — | 1222 |
| LiveBench Language | 37% | — |

## FAQ

### Is Amazon Nova Pro better than GLM-5.2?

GLM-5.2 is the stronger model overall, scoring 50.9 to 30.5 on the Noometry Index. Amazon Nova Pro costs 1.5× less per token, which makes it the better buy when GLM-5.2's lead doesn't matter for your workload.

### Which is cheaper, Amazon Nova Pro or GLM-5.2?

Amazon Nova Pro is cheaper. It lists at $0.80 per million input tokens and $3.20 per million output tokens; GLM-5.2 lists at $1.40 and $4.40.

### Is Amazon Nova Pro or GLM-5.2 better for coding?

GLM-5.2 scores higher on coding benchmarks: 50.9 versus 34.6 in the Noometry coding category.

### Which has the bigger context window?

GLM-5.2 does, with 1M tokens against 300K.

### How many benchmarks do Amazon Nova Pro and GLM-5.2 share?

18 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and GLM-5.2 has 50.