# Amazon Nova Micro vs GLM-5.3-Flash

> GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 29.9 on the Noometry Index. Amazon Nova Micro costs 3.9× less per token, which makes it the better buy when GLM-5.3-Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/amazon-nova-micro-vs-glm-5-3-flash
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Amazon Nova Micro scores higher in 0 categories and GLM-5.3-Flash in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 29.2.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.15 / $0.50 for GLM-5.3-Flash.
- GLM-5.3-Flash accepts more context: 1M tokens versus 128K.
- GLM-5.3-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Micro | GLM-5.3-Flash |
|---|---|---|
| Provider | Amazon | Z.ai (Zhipu) |
| Noometry Index | 29.9 | 49.6 |
| Rank | 290 | 45 |
| Context | 128K | 1M |
| Input $/M | $0.035 | $0.15 |
| Output $/M | $0.14 | $0.50 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Micro: 30.0 (#289)
- GLM-5.3-Flash: 53.7 (#26)

| Benchmark | Amazon Nova Micro | GLM-5.3-Flash |
|---|---|---|
| LMArena Coding | 1218 | 1506 |
| DeepSWE | — | 63.4% |
| FrontierCode | — | 31.8% |
| LMArena WebDev | — | 1614 |
| SciCode | — | 51.6% |
| LiveBench Coding | 20.2% | — |
| ALE-Bench | — | 303.55 |

## Agentic & Tool Use

- Amazon Nova Micro: 21.9 (#125)
- GLM-5.3-Flash: 34.3 (#41)

| Benchmark | Amazon Nova Micro | GLM-5.3-Flash |
|---|---|---|
| APEX-Agents | — | 52.8% |
| Berkeley Function Calling Leaderboard | 22.3% | — |
| GDP.pdf | — | 14% |

## Reasoning

- Amazon Nova Micro: 16.7 (#289)
- GLM-5.3-Flash: 31.7 (#69)

| Benchmark | Amazon Nova Micro | GLM-5.3-Flash |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1490 |
| CritPt | — | 15.4% |
| Chess Puzzles | — | 14% |
| LiveBench Reasoning | 25.1% | — |
| Mystery Game Puzzles | — | 8% |
| LiveBench Data Analysis | 34% | — |
| Surface Evolver Bench | — | 52.5% |
| Bench to the Future 3 | — | 0.15 |
| Epoch Capabilities Index | — | 151.9 |
| LiveBench | 29.6% | — |

## Math

- Amazon Nova Micro: 24.9 (#252)
- GLM-5.3-Flash: 53.1 (#38)

| Benchmark | Amazon Nova Micro | GLM-5.3-Flash |
|---|---|---|
| LMArena Math | 1206 | 1499 |
| FrontierMath (Tiers 1-3) | — | 55.8% |
| FrontierMath Tier 4 | — | 17.1% |
| OTIS Mock AIME 2024-2025 | — | 93.9% |
| ProofBench | — | 21% |
| Omni-MATH | 21.4% | — |
| LiveBench Math | 34.5% | — |

## Knowledge

- Amazon Nova Micro: 29.2 (#231)
- GLM-5.3-Flash: 58.4 (#33)

| Benchmark | Amazon Nova Micro | GLM-5.3-Flash |
|---|---|---|
| LMArena Expert | 1184 | 1512 |
| GPQA Diamond | — | 90.2% |
| MMLU-Pro | 51.1% | — |
| Vectara Hallucination Rate | 5.5% | — |
| GPQA (HELM) | 38.3% | — |
| MMLU | 70.8% | — |

## Multimodal

- Amazon Nova Micro: —
- GLM-5.3-Flash: 42.6 (#25)

| Benchmark | Amazon Nova Micro | GLM-5.3-Flash |
|---|---|---|
| LMArena Vision | — | 1304 |

## Multilingual

- Amazon Nova Micro: 36.7 (#234)
- GLM-5.3-Flash: 56.2 (#24)

| Benchmark | Amazon Nova Micro | GLM-5.3-Flash |
|---|---|---|
| LMArena Non-English | 1186 | 1462 |
| LMArena Chinese | 1209 | 1529 |
| LMArena French | 1237 | 1495 |
| LMArena German | 1192 | 1457 |
| LMArena Japanese | 1154 | 1420 |
| LMArena Korean | 1150 | 1443 |
| LMArena Russian | 1185 | 1472 |
| LMArena Spanish | 1225 | 1471 |

## Instruction Following

- Amazon Nova Micro: 56.6 (#267)
- GLM-5.3-Flash: 77.8 (#17)

| Benchmark | Amazon Nova Micro | GLM-5.3-Flash |
|---|---|---|
| LMArena Instruction Following | 1174 | 1480 |
| LiveBench Instruction Following | 48% | — |
| IFEval | 76% | — |

## Long Context

- Amazon Nova Micro: 36.5 (#224)
- GLM-5.3-Flash: 45.3 (#41)

| Benchmark | Amazon Nova Micro | GLM-5.3-Flash |
|---|---|---|
| LMArena Longer Query | 1206 | 1479 |

## Writing & Preference

- Amazon Nova Micro: 39.7 (#242)
- GLM-5.3-Flash: 65.4 (#49)

| Benchmark | Amazon Nova Micro | GLM-5.3-Flash |
|---|---|---|
| LMArena Text | 1208 | 1471 |
| LMArena Creative Writing | 1172 | 1440 |
| LMArena Multi-Turn | 1178 | 1471 |
| WildBench | 74.3% | — |
| LiveBench Language | 15.8% | — |

## FAQ

### Is Amazon Nova Micro better than GLM-5.3-Flash?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 29.9 on the Noometry Index. Amazon Nova Micro costs 3.9× less per token, which makes it the better buy when GLM-5.3-Flash's lead doesn't matter for your workload.

### Which is cheaper, Amazon Nova Micro or GLM-5.3-Flash?

Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; GLM-5.3-Flash lists at $0.15 and $0.50.

### Is Amazon Nova Micro or GLM-5.3-Flash better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 30.0 in the Noometry coding category.

### Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 128K.

### How many benchmarks do Amazon Nova Micro and GLM-5.3-Flash share?

17 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and GLM-5.3-Flash has 36.