# Amazon Nova Micro vs GPT-6 Luna

> GPT-6 Luna is the stronger model overall, scoring 53.3 to 30.4 on the Noometry Index. Amazon Nova Micro costs 3.3× less per token, which makes it the better buy when GPT-6 Luna's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/amazon-nova-micro-vs-gpt-6-luna
- Last updated: 2026-10-11
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Amazon Nova Micro scores higher in 0 categories and GPT-6 Luna in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Luna leads 76.1 to 26.9.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.10 / $0.50 for GPT-6 Luna.
- GPT-6 Luna accepts more context: 1.05M tokens versus 128K.

## Snapshot

| | Amazon Nova Micro | GPT-6 Luna |
|---|---|---|
| Provider | Amazon | OpenAI |
| Noometry Index | 30.4 | 53.3 |
| Rank | 294 | 36 |
| Context | 128K | 1.05M |
| Input $/M | $0.035 | $0.10 |
| Output $/M | $0.14 | $0.50 |
| Weights | Proprietary | Proprietary |

## Coding

- Amazon Nova Micro: 30.5 (#295)
- GPT-6 Luna: 55.5 (#25)

| Benchmark | Amazon Nova Micro | GPT-6 Luna |
|---|---|---|
| LMArena Coding | 1218 | 1439 |
| DeepSWE | — | 66.6% |
| FrontierCode | — | 42.4% |
| LMArena WebDev | — | 1581 |
| SciCode | — | 54.6% |
| LiveBench Coding | 20.2% | — |
| ALE-Bench | — | 1,577 |

## Agentic & Tool Use

- Amazon Nova Micro: 22.1 (#132)
- GPT-6 Luna: 33.3 (#54)

| Benchmark | Amazon Nova Micro | GPT-6 Luna |
|---|---|---|
| APEX-Agents | — | 44.3% |
| Berkeley Function Calling Leaderboard | 22.3% | — |
| GDP.pdf | — | 23% |

## Reasoning

- Amazon Nova Micro: 17.4 (#294)
- GPT-6 Luna: 48.2 (#41)

| Benchmark | Amazon Nova Micro | GPT-6 Luna |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1411 |
| ARC-AGI-2 | — | 59.3% |
| NYT Connections (extended) | — | 68.7% |
| ARC-AGI-1 | — | 86.7% |
| CritPt | — | 19.4% |
| Chess Puzzles | — | 31% |
| LiveBench Reasoning | 25.1% | — |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 90.1% |
| LiveBench Data Analysis | 34% | — |
| LMCA | — | 44.5% |
| Epoch Capabilities Index | — | 156.28 |
| LiveBench | 29.6% | — |

## Math

- Amazon Nova Micro: 26.9 (#254)
- GPT-6 Luna: 76.1 (#15)

| Benchmark | Amazon Nova Micro | GPT-6 Luna |
|---|---|---|
| LMArena Math | 1206 | 1416 |
| FrontierMath (Tiers 1-3) | — | 78.9% |
| FrontierMath Tier 4 | — | 56.1% |
| OTIS Mock AIME 2024-2025 | — | 98.9% |
| ProofBench | — | 64% |
| Omni-MATH | 21.4% | — |
| LiveBench Math | 34.5% | — |

## Knowledge

- Amazon Nova Micro: 29.6 (#237)
- GPT-6 Luna: 57.0 (#41)

| Benchmark | Amazon Nova Micro | GPT-6 Luna |
|---|---|---|
| LMArena Expert | 1184 | 1444 |
| GPQA Diamond | — | 90.5% |
| SimpleQA Verified | — | 41.4% |
| MMLU-Pro | 51.1% | — |
| Vectara Hallucination Rate | 5.5% | — |
| GPQA (HELM) | 38.3% | — |
| MMLU | 70.8% | — |

## Multimodal

- Amazon Nova Micro: —
- GPT-6 Luna: 42.4 (#30)

| Benchmark | Amazon Nova Micro | GPT-6 Luna |
|---|---|---|
| LMArena Vision | — | 1217 |
| Blueprint-Bench 2 | — | 31.2% |
| Furniture Assembly | — | 44.2% |

## Multilingual

- Amazon Nova Micro: 36.5 (#239)
- GPT-6 Luna: 50.5 (#117)

| Benchmark | Amazon Nova Micro | GPT-6 Luna |
|---|---|---|
| LMArena Non-English | 1186 | 1386 |
| LMArena Chinese | 1209 | 1433 |
| LMArena French | 1238 | 1420 |
| LMArena German | 1192 | 1369 |
| LMArena Japanese | 1154 | 1369 |
| LMArena Korean | 1150 | 1360 |
| LMArena Russian | 1185 | 1394 |
| LMArena Spanish | 1225 | 1393 |

## Instruction Following

- Amazon Nova Micro: 56.3 (#272)
- GPT-6 Luna: 74.3 (#99)

| Benchmark | Amazon Nova Micro | GPT-6 Luna |
|---|---|---|
| LMArena Instruction Following | 1174 | 1409 |
| LiveBench Instruction Following | 48% | — |
| IFEval | 76% | — |

## Long Context

- Amazon Nova Micro: 36.5 (#229)
- GPT-6 Luna: 43.0 (#111)

| Benchmark | Amazon Nova Micro | GPT-6 Luna |
|---|---|---|
| LMArena Longer Query | 1205 | 1409 |

## Writing & Preference

- Amazon Nova Micro: 39.5 (#247)
- GPT-6 Luna: 58.3 (#119)

| Benchmark | Amazon Nova Micro | GPT-6 Luna |
|---|---|---|
| LMArena Text | 1208 | 1391 |
| LMArena Creative Writing | 1172 | 1363 |
| LMArena Multi-Turn | 1178 | 1396 |
| WildBench | 74.3% | — |
| LiveBench Language | 15.8% | — |

## FAQ

### Is Amazon Nova Micro better than GPT-6 Luna?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 30.4 on the Noometry Index. Amazon Nova Micro costs 3.3× less per token, which makes it the better buy when GPT-6 Luna's lead doesn't matter for your workload.

### Which is cheaper, Amazon Nova Micro or GPT-6 Luna?

Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; GPT-6 Luna lists at $0.10 and $0.50.

### Is Amazon Nova Micro or GPT-6 Luna better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 30.5 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 128K.

### How many benchmarks do Amazon Nova Micro and GPT-6 Luna share?

17 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and GPT-6 Luna has 42.