Model comparison
Amazon Nova Micro vs Llama 4 Scout
Amazon Nova Micro is the stronger model overall, scoring 30.4 to 27.7 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. Amazon Nova Micro scores higher in 5 categories and Llama 4 Scout in 4 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where Amazon Nova Micro leads 30.5 to 20.2.
- The biggest single-benchmark swing is MMLU-Pro: 51.1% for Amazon Nova Micro and 74.2% for Llama 4 Scout.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.10 / $0.30 for Llama 4 Scout.
- Llama 4 Scout has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Micro | Llama 4 Scout | |
|---|---|---|
| Provider | Amazon | Meta |
| Noometry Index | 30.4 | 27.7 |
| Released | 2024-12-03 | 2025-04-05 |
| Weights | Proprietary | Open |
| Context window | 128K | 128K |
| Max output | 10K | 4K |
| Input $ / M tokens | $0.035 | $0.10 |
| Output $ / M tokens | $0.14 | $0.30 |
| Results tracked | 32 | 43 |
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Category by category
Coding Amazon Nova Micro leads
Amazon Nova Micro: 30.5 (#295), Llama 4 Scout: 20.2 (#339)
| Benchmark | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| LMArena Coding | 1218 | 1286 |
| SWE-bench Verified (bash only) | — | 9.1% |
| SciCode | — | 17% |
| LiveBench Coding | 20.2% | — |
| BigCodeBench Complete | — | 43.1% |
Agentic & Tool Use Llama 4 Scout leads
Amazon Nova Micro: 22.1 (#132), Llama 4 Scout: 24.6 (#119)
| Benchmark | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| Berkeley Function Calling Leaderboard | 22.3% | 28.1% |
Reasoning Amazon Nova Micro leads
Amazon Nova Micro: 17.4 (#294), Llama 4 Scout: 9.1 (#345)
| Benchmark | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1266 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 36.9% |
| ARC-AGI-1 | — | 0.5% |
| CritPt | — | 0% |
| LiveBench Reasoning | 25.1% | — |
| DTBench | — | 57.9% |
| LiveBench Data Analysis | 34% | — |
| LMCA | — | 12% |
| Epoch Capabilities Index | — | 129.64 |
| ForecastBench | — | 57.5 |
| LiveBench | 29.6% | — |
Math Amazon Nova Micro leads
Amazon Nova Micro: 26.9 (#254), Llama 4 Scout: 19.6 (#286)
| Benchmark | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| Omni-MATH | 21.4% | 37.3% |
| LMArena Math | 1206 | 1287 |
| OTIS Mock AIME 2024-2025 | — | 7.8% |
| LiveBench Math | 34.5% | — |
| MATH Level 5 | — | 62.3% |
| FrontierMath (Feb 2025 set) | — | 0% |
Knowledge Llama 4 Scout leads
Amazon Nova Micro: 29.6 (#237), Llama 4 Scout: 31.9 (#217)
| Benchmark | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| MMLU-Pro | 51.1% | 74.2% |
| Vectara Hallucination Rate | 5.5% | 7.7% |
| GPQA (HELM) | 38.3% | 50.7% |
| LMArena Expert | 1184 | 1235 |
| GPQA Diamond | — | 51.8% |
| MMLU | 70.8% | — |
Multimodal Not comparable
Amazon Nova Micro: —, Llama 4 Scout: 32.2 (#102)
| Benchmark | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| LMArena Vision | — | 1118 |
| SpatialViz-Bench | — | 34.2% |
Multilingual Llama 4 Scout leads
Amazon Nova Micro: 36.5 (#239), Llama 4 Scout: 41.0 (#212)
| Benchmark | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| LMArena Non-English | 1186 | 1252 |
| LMArena Chinese | 1209 | 1255 |
| LMArena French | 1238 | 1282 |
| LMArena German | 1192 | 1272 |
| LMArena Japanese | 1154 | 1206 |
| LMArena Korean | 1150 | 1207 |
| LMArena Russian | 1185 | 1263 |
| LMArena Spanish | 1225 | 1278 |
Instruction Following Llama 4 Scout leads
Amazon Nova Micro: 56.3 (#272), Llama 4 Scout: 65.8 (#217)
| Benchmark | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| IFEval | 76% | 81.8% |
| LMArena Instruction Following | 1174 | 1248 |
| LiveBench Instruction Following | 48% | — |
Long Context Amazon Nova Micro leads
Amazon Nova Micro: 36.5 (#229), Llama 4 Scout: 27.5 (#294)
| Benchmark | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| LMArena Longer Query | 1205 | 1265 |
| Fiction.LiveBench | — | 36% |
Writing & Preference Amazon Nova Micro leads
Amazon Nova Micro: 39.5 (#247), Llama 4 Scout: 37.0 (#261)
| Benchmark | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| LMArena Text | 1208 | 1279 |
| LMArena Creative Writing | 1172 | 1249 |
| WildBench | 74.3% | 78% |
| LMArena Multi-Turn | 1178 | 1280 |
| EQ-Bench Creative Writing | — | 783 |
| LiveBench Language | 15.8% | — |
Frequently asked questions
Is Amazon Nova Micro better than Llama 4 Scout?
Amazon Nova Micro is the stronger model overall, scoring 30.4 to 27.7 on the Noometry Index.
Which is cheaper, Amazon Nova Micro or Llama 4 Scout?
Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; Llama 4 Scout lists at $0.10 and $0.30.
Is Amazon Nova Micro or Llama 4 Scout better for coding?
Amazon Nova Micro scores higher on coding benchmarks: 30.5 versus 20.2 in the Noometry coding category.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do Amazon Nova Micro and Llama 4 Scout share?
24 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and Llama 4 Scout has 43.