Model comparison
Amazon Nova Micro vs GPT-5 Nano
GPT-5 Nano is the stronger model overall, scoring 33.5 to 30.4 on the Noometry Index. Amazon Nova Micro costs 2.2× less per token, which makes it the better buy when GPT-5 Nano's lead doesn't matter for your workload.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. Amazon Nova Micro scores higher in 3 categories and GPT-5 Nano in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where GPT-5 Nano leads 75.0 to 56.3.
- The biggest single-benchmark swing is Omni-MATH: 21.4% for Amazon Nova Micro and 54.6% for GPT-5 Nano.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.05 / $0.40 for GPT-5 Nano.
- GPT-5 Nano accepts more context: 400K tokens versus 128K.
Side by side
| Amazon Nova Micro | GPT-5 Nano | |
|---|---|---|
| Provider | Amazon | OpenAI |
| Noometry Index | 30.4 | 33.5 |
| Released | 2024-12-03 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | 400K |
| Max output | 10K | 128K |
| Input $ / M tokens | $0.035 | $0.05 |
| Output $ / M tokens | $0.14 | $0.40 |
| Results tracked | 32 | 49 |
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Category by category
Coding GPT-5 Nano leads
Amazon Nova Micro: 30.5 (#295), GPT-5 Nano: 33.6 (#254)
| Benchmark | Amazon Nova Micro | GPT-5 Nano |
|---|---|---|
| LMArena Coding | 1218 | 1351 |
| SWE-bench Verified (bash only) | — | 34.8% |
| WeirdML | — | 38.1% |
| LiveBench Coding | 20.2% | — |
| ALE-Bench | — | 718.67 |
Agentic & Tool Use GPT-5 Nano leads
Amazon Nova Micro: 22.1 (#132), GPT-5 Nano: 25.8 (#106)
| Benchmark | Amazon Nova Micro | GPT-5 Nano |
|---|---|---|
| Berkeley Function Calling Leaderboard | 22.3% | 51.5% |
| Terminal-Bench | — | 21.8% |
Reasoning Amazon Nova Micro leads
Amazon Nova Micro: 17.4 (#294), GPT-5 Nano: 16.3 (#306)
| Benchmark | Amazon Nova Micro | GPT-5 Nano |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1328 |
| ARC-AGI-2 | — | 2.6% |
| Kagi LLM Benchmark | — | 62.2% |
| ARC-AGI-1 | — | 20.7% |
| Chess Puzzles | — | 27% |
| LiveBench Reasoning | 25.1% | — |
| Mystery Game Puzzles | — | 9% |
| DTBench | — | 62.7% |
| LiveBench Data Analysis | 34% | — |
| LMCA | — | 7.9% |
| Epoch Capabilities Index | — | 139.38 |
| ForecastBench | — | 59.1 |
| LiveBench | 29.6% | — |
Math GPT-5 Nano leads
Amazon Nova Micro: 26.9 (#254), GPT-5 Nano: 29.4 (#241)
| Benchmark | Amazon Nova Micro | GPT-5 Nano |
|---|---|---|
| Omni-MATH | 21.4% | 54.6% |
| LMArena Math | 1206 | 1317 |
| FrontierMath (Tiers 1-3) | — | 20% |
| FrontierMath Tier 4 | — | 2.4% |
| OTIS Mock AIME 2024-2025 | — | 81.1% |
| ProofBench | — | 12% |
| LiveBench Math | 34.5% | — |
| MATH Level 5 | — | 95.2% |
| FrontierMath (Feb 2025 set) | — | 8.3% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge GPT-5 Nano leads
Amazon Nova Micro: 29.6 (#237), GPT-5 Nano: 35.9 (#178)
| Benchmark | Amazon Nova Micro | GPT-5 Nano |
|---|---|---|
| MMLU-Pro | 51.1% | 77.8% |
| Vectara Hallucination Rate | 5.5% | 10.5% |
| GPQA (HELM) | 38.3% | 67.9% |
| LMArena Expert | 1184 | 1321 |
| GPQA Diamond | — | 69.4% |
| SimpleQA Verified | — | 11.7% |
| MMLU | 70.8% | — |
Multimodal Not comparable
Amazon Nova Micro: —, GPT-5 Nano: 31.3 (#108)
| Benchmark | Amazon Nova Micro | GPT-5 Nano |
|---|---|---|
| LMArena Vision | — | 1159 |
| VPCT | — | 37.2% |
Multilingual GPT-5 Nano leads
Amazon Nova Micro: 36.5 (#239), GPT-5 Nano: 45.3 (#172)
| Benchmark | Amazon Nova Micro | GPT-5 Nano |
|---|---|---|
| LMArena Non-English | 1186 | 1313 |
| LMArena Chinese | 1209 | 1356 |
| LMArena German | 1192 | 1327 |
| LMArena Japanese | 1154 | 1226 |
| LMArena Korean | 1150 | 1269 |
| LMArena Russian | 1185 | 1296 |
| LMArena Spanish | 1225 | 1360 |
| LMArena French | 1238 | — |
Instruction Following GPT-5 Nano leads
Amazon Nova Micro: 56.3 (#272), GPT-5 Nano: 75.0 (#79)
| Benchmark | Amazon Nova Micro | GPT-5 Nano |
|---|---|---|
| IFEval | 76% | 93.2% |
| LMArena Instruction Following | 1174 | 1306 |
| LiveBench Instruction Following | 48% | — |
Long Context Amazon Nova Micro leads
Amazon Nova Micro: 36.5 (#229), GPT-5 Nano: 31.3 (#281)
| Benchmark | Amazon Nova Micro | GPT-5 Nano |
|---|---|---|
| LMArena Longer Query | 1205 | 1312 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference Too close to call
Amazon Nova Micro: 39.5 (#247), GPT-5 Nano: 39.1 (#249)
| Benchmark | Amazon Nova Micro | GPT-5 Nano |
|---|---|---|
| LMArena Text | 1208 | 1320 |
| LMArena Creative Writing | 1172 | 1249 |
| WildBench | 74.3% | 80.6% |
| LMArena Multi-Turn | 1178 | 1311 |
| EQ-Bench Creative Writing | — | 705 |
| LiveBench Language | 15.8% | — |
Frequently asked questions
Is Amazon Nova Micro better than GPT-5 Nano?
GPT-5 Nano is the stronger model overall, scoring 33.5 to 30.4 on the Noometry Index. Amazon Nova Micro costs 2.2× less per token, which makes it the better buy when GPT-5 Nano's lead doesn't matter for your workload.
Which is cheaper, Amazon Nova Micro or GPT-5 Nano?
Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; GPT-5 Nano lists at $0.05 and $0.40.
Is Amazon Nova Micro or GPT-5 Nano better for coding?
GPT-5 Nano scores higher on coding benchmarks: 33.6 versus 30.5 in the Noometry coding category.
Which has the bigger context window?
GPT-5 Nano does, with 400K tokens against 128K.
How many benchmarks do Amazon Nova Micro and GPT-5 Nano share?
23 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and GPT-5 Nano has 49.