Model comparison
Amazon Nova Micro vs GPT-4.1 mini
GPT-4.1 mini is the stronger model overall, scoring 33.6 to 30.4 on the Noometry Index. Amazon Nova Micro costs 11× less per token, which makes it the better buy when GPT-4.1 mini'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-4.1 mini in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where GPT-4.1 mini leads 73.7 to 56.3.
- The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 22.3% for Amazon Nova Micro and 50.5% for GPT-4.1 mini.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 128K.
Side by side
| Amazon Nova Micro | GPT-4.1 mini | |
|---|---|---|
| Provider | Amazon | OpenAI |
| Noometry Index | 30.4 | 33.6 |
| Released | 2024-12-03 | 2025-04-14 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 10K | 33K |
| Input $ / M tokens | $0.035 | $0.40 |
| Output $ / M tokens | $0.14 | $1.60 |
| Results tracked | 32 | 47 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Too close to call
Amazon Nova Micro: 30.5 (#295), GPT-4.1 mini: 30.6 (#293)
| Benchmark | Amazon Nova Micro | GPT-4.1 mini |
|---|---|---|
| LMArena Coding | 1218 | 1367 |
| SWE-bench Verified (bash only) | — | 23.9% |
| Aider Polyglot | — | 32.4% |
| SciCode | — | 40.4% |
| WeirdML | — | 37.6% |
| BigCodeBench Instruct | — | 48.9% |
| LiveBench Coding | 20.2% | — |
| CadEval | — | 16% |
Agentic & Tool Use GPT-4.1 mini leads
Amazon Nova Micro: 22.1 (#132), GPT-4.1 mini: 33.3 (#55)
| Benchmark | Amazon Nova Micro | GPT-4.1 mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 22.3% | 50.5% |
Reasoning Amazon Nova Micro leads
Amazon Nova Micro: 17.4 (#294), GPT-4.1 mini: 10.8 (#340)
| Benchmark | Amazon Nova Micro | GPT-4.1 mini |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1349 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 48.6% |
| ARC-AGI-1 | — | 3.5% |
| CritPt | — | 0% |
| Chess Puzzles | — | 7% |
| LiveBench Reasoning | 25.1% | — |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 68.8% |
| LiveBench Data Analysis | 34% | — |
| LMCA | — | 21.1% |
| Epoch Capabilities Index | — | 135.01 |
| LiveBench | 29.6% | — |
Math Amazon Nova Micro leads
Amazon Nova Micro: 26.9 (#254), GPT-4.1 mini: 24.1 (#270)
| Benchmark | Amazon Nova Micro | GPT-4.1 mini |
|---|---|---|
| Omni-MATH | 21.4% | 49.1% |
| LMArena Math | 1206 | 1343 |
| FrontierMath (Tiers 1-3) | — | 6.7% |
| OTIS Mock AIME 2024-2025 | — | 44.7% |
| LiveBench Math | 34.5% | — |
| MATH Level 5 | — | 87.3% |
| FrontierMath (Feb 2025 set) | — | 4.5% |
Knowledge GPT-4.1 mini leads
Amazon Nova Micro: 29.6 (#237), GPT-4.1 mini: 34.7 (#194)
| Benchmark | Amazon Nova Micro | GPT-4.1 mini |
|---|---|---|
| MMLU-Pro | 51.1% | 78.3% |
| GPQA (HELM) | 38.3% | 61.4% |
| LMArena Expert | 1184 | 1338 |
| GPQA Diamond | — | 65.8% |
| SimpleQA Verified | — | 12.7% |
| Vectara Hallucination Rate | 5.5% | — |
| MMLU | 70.8% | — |
Multimodal Not comparable
Amazon Nova Micro: —, GPT-4.1 mini: 35.8 (#82)
| Benchmark | Amazon Nova Micro | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | — | 1181 |
Multilingual GPT-4.1 mini leads
Amazon Nova Micro: 36.5 (#239), GPT-4.1 mini: 45.7 (#166)
| Benchmark | Amazon Nova Micro | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 1186 | 1318 |
| LMArena Chinese | 1209 | 1329 |
| LMArena French | 1238 | 1358 |
| LMArena German | 1192 | 1351 |
| LMArena Japanese | 1154 | 1290 |
| LMArena Korean | 1150 | 1298 |
| LMArena Russian | 1185 | 1324 |
| LMArena Spanish | 1225 | 1319 |
Instruction Following GPT-4.1 mini leads
Amazon Nova Micro: 56.3 (#272), GPT-4.1 mini: 73.7 (#118)
| Benchmark | Amazon Nova Micro | GPT-4.1 mini |
|---|---|---|
| IFEval | 76% | 90.4% |
| LMArena Instruction Following | 1174 | 1333 |
| LiveBench Instruction Following | 48% | — |
Long Context Amazon Nova Micro leads
Amazon Nova Micro: 36.5 (#229), GPT-4.1 mini: 31.8 (#275)
| Benchmark | Amazon Nova Micro | GPT-4.1 mini |
|---|---|---|
| LMArena Longer Query | 1205 | 1344 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference GPT-4.1 mini leads
Amazon Nova Micro: 39.5 (#247), GPT-4.1 mini: 48.6 (#199)
| Benchmark | Amazon Nova Micro | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1208 | 1340 |
| LMArena Creative Writing | 1172 | 1300 |
| WildBench | 74.3% | 83.8% |
| LMArena Multi-Turn | 1178 | 1354 |
| EQ-Bench Creative Writing | — | 1147 |
| LiveBench Language | 15.8% | — |
Frequently asked questions
Is Amazon Nova Micro better than GPT-4.1 mini?
GPT-4.1 mini is the stronger model overall, scoring 33.6 to 30.4 on the Noometry Index. Amazon Nova Micro costs 11× less per token, which makes it the better buy when GPT-4.1 mini's lead doesn't matter for your workload.
Which is cheaper, Amazon Nova Micro or GPT-4.1 mini?
Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.
Is Amazon Nova Micro or GPT-4.1 mini better for coding?
They score almost the same on coding (30.5 vs 30.6); test both on your own repository before choosing.
Which has the bigger context window?
GPT-4.1 mini does, with 1.05M tokens against 128K.
How many benchmarks do Amazon Nova Micro and GPT-4.1 mini share?
23 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and GPT-4.1 mini has 47.