Model comparison
Amazon Nova Micro vs Gemini 3.7 Flash
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 30.4 on the Noometry Index. Amazon Nova Micro costs 24× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
GoogleSummary
- They share 17 benchmarks with published results for both. Amazon Nova Micro scores higher in 0 categories and Gemini 3.7 Flash in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 17.4.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.7 Flash.
- Gemini 3.7 Flash accepts more context: 1.05M tokens versus 128K.
Side by side
| Amazon Nova Micro | Gemini 3.7 Flash | |
|---|---|---|
| Provider | Amazon | |
| Noometry Index | 30.4 | 59.8 |
| Released | 2024-12-03 | 2026-08-13 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 10K | 66K |
| Input $ / M tokens | $0.035 | $0.75 |
| Output $ / M tokens | $0.14 | $3.75 |
| Results tracked | 32 | 44 |
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Category by category
Coding Gemini 3.7 Flash leads
Amazon Nova Micro: 30.5 (#295), Gemini 3.7 Flash: 56.2 (#22)
| Benchmark | Amazon Nova Micro | Gemini 3.7 Flash |
|---|---|---|
| LMArena Coding | 1218 | 1497 |
| DeepSWE | — | 65.5% |
| FrontierCode | — | 43.6% |
| LMArena WebDev | — | 1592 |
| FrontierSWE | — | 20.3% |
| SciCode | — | 59.8% |
| LiveBench Coding | 20.2% | — |
| ALE-Bench | — | 904.3 |
Agentic & Tool Use Gemini 3.7 Flash leads
Amazon Nova Micro: 22.1 (#132), Gemini 3.7 Flash: 42.1 (#19)
| Benchmark | Amazon Nova Micro | Gemini 3.7 Flash |
|---|---|---|
| APEX-Agents | — | 67.8% |
| Berkeley Function Calling Leaderboard | 22.3% | — |
| Remote Labor Index | — | 5% |
| GDP.pdf | — | 23.8% |
Reasoning Gemini 3.7 Flash leads
Amazon Nova Micro: 17.4 (#294), Gemini 3.7 Flash: 70.0 (#15)
| Benchmark | Amazon Nova Micro | Gemini 3.7 Flash |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1494 |
| ARC-AGI-2 | — | 84.6% |
| NYT Connections (extended) | — | 94% |
| ARC-AGI-1 | — | 95.5% |
| CritPt | — | 14.3% |
| Chess Puzzles | — | 47% |
| LiveBench Reasoning | 25.1% | — |
| Mystery Game Puzzles | — | 37% |
| DTBench | — | 96.8% |
| LiveBench Data Analysis | 34% | — |
| LMCA | — | 50.4% |
| Epoch Capabilities Index | — | 157.27 |
| LiveBench | 29.6% | — |
Math Gemini 3.7 Flash leads
Amazon Nova Micro: 26.9 (#254), Gemini 3.7 Flash: 69.6 (#23)
| Benchmark | Amazon Nova Micro | Gemini 3.7 Flash |
|---|---|---|
| LMArena Math | 1206 | 1507 |
| FrontierMath (Tiers 1-3) | — | 71.6% |
| FrontierMath Tier 4 | — | 36.6% |
| OTIS Mock AIME 2024-2025 | — | 97.2% |
| ProofBench | — | 58% |
| Omni-MATH | 21.4% | — |
| LiveBench Math | 34.5% | — |
Knowledge Gemini 3.7 Flash leads
Amazon Nova Micro: 29.6 (#237), Gemini 3.7 Flash: 69.7 (#5)
| Benchmark | Amazon Nova Micro | Gemini 3.7 Flash |
|---|---|---|
| LMArena Expert | 1184 | 1508 |
| GPQA Diamond | — | 94.8% |
| SimpleQA Verified | — | 69.2% |
| MMLU-Pro | 51.1% | — |
| Vectara Hallucination Rate | 5.5% | — |
| GPQA (HELM) | 38.3% | — |
| MMLU | 70.8% | — |
Multimodal Not comparable
Amazon Nova Micro: —, Gemini 3.7 Flash: 37.3 (#73)
| Benchmark | Amazon Nova Micro | Gemini 3.7 Flash |
|---|---|---|
| LMArena Vision | — | 1316 |
| Furniture Assembly | — | 26.7% |
Multilingual Gemini 3.7 Flash leads
Amazon Nova Micro: 36.5 (#239), Gemini 3.7 Flash: 57.6 (#7)
| Benchmark | Amazon Nova Micro | Gemini 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1186 | 1484 |
| LMArena Chinese | 1209 | 1548 |
| LMArena French | 1238 | 1505 |
| LMArena German | 1192 | 1498 |
| LMArena Japanese | 1154 | 1512 |
| LMArena Korean | 1150 | 1483 |
| LMArena Russian | 1185 | 1516 |
| LMArena Spanish | 1225 | 1503 |
Instruction Following Gemini 3.7 Flash leads
Amazon Nova Micro: 56.3 (#272), Gemini 3.7 Flash: 77.7 (#15)
| Benchmark | Amazon Nova Micro | Gemini 3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1174 | 1483 |
| LiveBench Instruction Following | 48% | — |
| IFEval | 76% | — |
Long Context Gemini 3.7 Flash leads
Amazon Nova Micro: 36.5 (#229), Gemini 3.7 Flash: 45.7 (#30)
| Benchmark | Amazon Nova Micro | Gemini 3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1205 | 1492 |
Writing & Preference Gemini 3.7 Flash leads
Amazon Nova Micro: 39.5 (#247), Gemini 3.7 Flash: 71.2 (#20)
| Benchmark | Amazon Nova Micro | Gemini 3.7 Flash |
|---|---|---|
| LMArena Text | 1208 | 1486 |
| LMArena Creative Writing | 1172 | 1490 |
| LMArena Multi-Turn | 1178 | 1489 |
| EQ-Bench Creative Writing | — | 1723 |
| WildBench | 74.3% | — |
| LiveBench Language | 15.8% | — |
Frequently asked questions
Is Amazon Nova Micro better than Gemini 3.7 Flash?
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 30.4 on the Noometry Index. Amazon Nova Micro costs 24× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.
Which is cheaper, Amazon Nova Micro or Gemini 3.7 Flash?
Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; Gemini 3.7 Flash lists at $0.75 and $3.75.
Is Amazon Nova Micro or Gemini 3.7 Flash better for coding?
Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 30.5 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.7 Flash does, with 1.05M tokens against 128K.
How many benchmarks do Amazon Nova Micro and Gemini 3.7 Flash share?
17 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and Gemini 3.7 Flash has 44.