Model comparison
Amazon Nova Micro vs GPT-5.6 Luna
GPT-5.6 Luna is the stronger model overall, scoring 54.6 to 30.4 on the Noometry Index. Amazon Nova Micro costs 7.3× less per token, which makes it the better buy when GPT-5.6 Luna's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Amazon Nova Micro scores higher in 0 categories and GPT-5.6 Luna in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.6 Luna leads 77.7 to 26.9.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.20 / $1.20 for GPT-5.6 Luna.
- GPT-5.6 Luna accepts more context: 1.05M tokens versus 128K.
Side by side
| Amazon Nova Micro | GPT-5.6 Luna | |
|---|---|---|
| Provider | Amazon | OpenAI |
| Noometry Index | 30.4 | 54.6 |
| Released | 2024-12-03 | 2026-07-09 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 10K | 128K |
| Input $ / M tokens | $0.035 | $0.20 |
| Output $ / M tokens | $0.14 | $1.20 |
| Results tracked | 32 | 52 |
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Category by category
Coding GPT-5.6 Luna leads
Amazon Nova Micro: 30.5 (#295), GPT-5.6 Luna: 54.5 (#28)
| Benchmark | Amazon Nova Micro | GPT-5.6 Luna |
|---|---|---|
| LMArena Coding | 1218 | 1466 |
| DeepSWE | — | 67.2% |
| FrontierCode | — | 39.8% |
| CursorBench | — | 35.9% |
| LMArena WebDev | — | 1519 |
| SciCode | — | 53.6% |
| WeirdML | — | 60.9% |
| LiveBench Coding | 20.2% | — |
| ALE-Bench | — | 1,667 |
Agentic & Tool Use GPT-5.6 Luna leads
Amazon Nova Micro: 22.1 (#132), GPT-5.6 Luna: 34.4 (#45)
| Benchmark | Amazon Nova Micro | GPT-5.6 Luna |
|---|---|---|
| APEX-Agents | — | 43% |
| Berkeley Function Calling Leaderboard | 22.3% | — |
| BALROG | — | 45.6% |
| GDP.pdf | — | 22.7% |
| Vending-Bench 2 | — | 4,095 |
Reasoning GPT-5.6 Luna leads
Amazon Nova Micro: 17.4 (#294), GPT-5.6 Luna: 47.6 (#43)
| Benchmark | Amazon Nova Micro | GPT-5.6 Luna |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1451 |
| ARC-AGI-2 | — | 59.5% |
| SimpleBench | — | 46.8% |
| Kagi LLM Benchmark | — | 49.1% |
| NYT Connections (extended) | — | 69.4% |
| ARC-AGI-1 | — | 88% |
| CritPt | — | 20.6% |
| Chess Puzzles | — | 40% |
| LiveBench Reasoning | 25.1% | — |
| Mystery Game Puzzles | — | 21% |
| DTBench | — | 89.1% |
| LiveBench Data Analysis | 34% | — |
| LMCA | — | 48.5% |
| Surface Evolver Bench | — | 61.9% |
| Epoch Capabilities Index | — | 156.39 |
| LiveBench | 29.6% | — |
Math GPT-5.6 Luna leads
Amazon Nova Micro: 26.9 (#254), GPT-5.6 Luna: 77.7 (#14)
| Benchmark | Amazon Nova Micro | GPT-5.6 Luna |
|---|---|---|
| LMArena Math | 1206 | 1458 |
| FrontierMath (Tiers 1-3) | — | 82.1% |
| FrontierMath Tier 4 | — | 61% |
| OTIS Mock AIME 2024-2025 | — | 98.3% |
| ProofBench | — | 60% |
| Omni-MATH | 21.4% | — |
| LiveBench Math | 34.5% | — |
Knowledge GPT-5.6 Luna leads
Amazon Nova Micro: 29.6 (#237), GPT-5.6 Luna: 58.5 (#34)
| Benchmark | Amazon Nova Micro | GPT-5.6 Luna |
|---|---|---|
| LMArena Expert | 1184 | 1478 |
| GPQA Diamond | — | 91.6% |
| SimpleQA Verified | — | 41% |
| MMLU-Pro | 51.1% | — |
| Vectara Hallucination Rate | 5.5% | — |
| GPQA (HELM) | 38.3% | — |
| MMLU | 70.8% | — |
Multimodal Not comparable
Amazon Nova Micro: —, GPT-5.6 Luna: 42.7 (#28)
| Benchmark | Amazon Nova Micro | GPT-5.6 Luna |
|---|---|---|
| LMArena Vision | — | 1258 |
| Blueprint-Bench 2 | — | 22.6% |
| Furniture Assembly | — | 42.5% |
| LMArena Document | — | 1457 |
Multilingual GPT-5.6 Luna leads
Amazon Nova Micro: 36.5 (#239), GPT-5.6 Luna: 52.8 (#78)
| Benchmark | Amazon Nova Micro | GPT-5.6 Luna |
|---|---|---|
| LMArena Non-English | 1186 | 1417 |
| LMArena Chinese | 1209 | 1470 |
| LMArena French | 1238 | 1456 |
| LMArena German | 1192 | 1454 |
| LMArena Japanese | 1154 | 1411 |
| LMArena Korean | 1150 | 1415 |
| LMArena Russian | 1185 | 1428 |
| LMArena Spanish | 1225 | 1448 |
Instruction Following GPT-5.6 Luna leads
Amazon Nova Micro: 56.3 (#272), GPT-5.6 Luna: 75.6 (#57)
| Benchmark | Amazon Nova Micro | GPT-5.6 Luna |
|---|---|---|
| LMArena Instruction Following | 1174 | 1437 |
| LiveBench Instruction Following | 48% | — |
| IFEval | 76% | — |
Long Context GPT-5.6 Luna leads
Amazon Nova Micro: 36.5 (#229), GPT-5.6 Luna: 43.9 (#82)
| Benchmark | Amazon Nova Micro | GPT-5.6 Luna |
|---|---|---|
| LMArena Longer Query | 1205 | 1436 |
Writing & Preference GPT-5.6 Luna leads
Amazon Nova Micro: 39.5 (#247), GPT-5.6 Luna: 68.0 (#29)
| Benchmark | Amazon Nova Micro | GPT-5.6 Luna |
|---|---|---|
| LMArena Text | 1208 | 1431 |
| LMArena Creative Writing | 1172 | 1396 |
| LMArena Multi-Turn | 1178 | 1434 |
| EQ-Bench Creative Writing | — | 1829 |
| WildBench | 74.3% | — |
| EQ-Bench 4 | — | 1156 |
| LiveBench Language | 15.8% | — |
Frequently asked questions
Is Amazon Nova Micro better than GPT-5.6 Luna?
GPT-5.6 Luna is the stronger model overall, scoring 54.6 to 30.4 on the Noometry Index. Amazon Nova Micro costs 7.3× less per token, which makes it the better buy when GPT-5.6 Luna's lead doesn't matter for your workload.
Which is cheaper, Amazon Nova Micro or GPT-5.6 Luna?
Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; GPT-5.6 Luna lists at $0.20 and $1.20.
Is Amazon Nova Micro or GPT-5.6 Luna better for coding?
GPT-5.6 Luna scores higher on coding benchmarks: 54.5 versus 30.5 in the Noometry coding category.
Which has the bigger context window?
GPT-5.6 Luna does, with 1.05M tokens against 128K.
How many benchmarks do Amazon Nova Micro and GPT-5.6 Luna share?
17 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and GPT-5.6 Luna has 52.