Model comparison
Amazon Nova Micro vs Llama 3.2 1B
Amazon Nova Micro is the stronger model overall, scoring 30.4 to 20.1 on the Noometry Index.
Last verified . 14 shared benchmarks.
MetaSummary
- They share 14 benchmarks with published results for both. Amazon Nova Micro scores higher in 9 categories and Llama 3.2 1B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Amazon Nova Micro leads 29.6 to 7.2.
- The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 22.3% for Amazon Nova Micro and 10.8% for Llama 3.2 1B.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.027 / $0.20 for Llama 3.2 1B.
- Amazon Nova Micro accepts more context: 128K tokens versus 60K.
- Llama 3.2 1B has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Micro | Llama 3.2 1B | |
|---|---|---|
| Provider | Amazon | Meta |
| Noometry Index | 30.4 | 20.1 |
| Released | 2024-12-03 | 2024-09-24 |
| Weights | Proprietary | Open |
| Context window | 128K | 60K |
| Max output | 10K | 54K |
| Input $ / M tokens | $0.035 | $0.027 |
| Output $ / M tokens | $0.14 | $0.20 |
| Results tracked | 32 | 22 |
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Category by category
Coding Amazon Nova Micro leads
Amazon Nova Micro: 30.5 (#295), Llama 3.2 1B: 21.1 (#338)
| Benchmark | Amazon Nova Micro | Llama 3.2 1B |
|---|---|---|
| LMArena Coding | 1218 | 1070 |
| BigCodeBench Instruct | — | 8.2% |
| LiveBench Coding | 20.2% | — |
| BigCodeBench Complete | — | 11.3% |
Agentic & Tool Use Amazon Nova Micro leads
Amazon Nova Micro: 22.1 (#132), Llama 3.2 1B: 14.6 (#150)
| Benchmark | Amazon Nova Micro | Llama 3.2 1B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 22.3% | 10.8% |
| BALROG | — | 6.6% |
Reasoning Amazon Nova Micro leads
Amazon Nova Micro: 17.4 (#294), Llama 3.2 1B: 16.2 (#308)
| Benchmark | Amazon Nova Micro | Llama 3.2 1B |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1044 |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | 25.1% | — |
| LiveBench Data Analysis | 34% | — |
| Epoch Capabilities Index | — | 101.99 |
| LiveBench | 29.6% | — |
Math Amazon Nova Micro leads
Amazon Nova Micro: 26.9 (#254), Llama 3.2 1B: 10.4 (#313)
| Benchmark | Amazon Nova Micro | Llama 3.2 1B |
|---|---|---|
| LMArena Math | 1206 | 1086 |
| OTIS Mock AIME 2024-2025 | — | 0.6% |
| Omni-MATH | 21.4% | — |
| LiveBench Math | 34.5% | — |
Knowledge Amazon Nova Micro leads
Amazon Nova Micro: 29.6 (#237), Llama 3.2 1B: 7.2 (#312)
| Benchmark | Amazon Nova Micro | Llama 3.2 1B |
|---|---|---|
| LMArena Expert | 1184 | 1007 |
| GPQA Diamond | — | 23.9% |
| MMLU-Pro | 51.1% | — |
| Vectara Hallucination Rate | 5.5% | — |
| GPQA (HELM) | 38.3% | — |
| MMLU | 70.8% | — |
Multilingual Amazon Nova Micro leads
Amazon Nova Micro: 36.5 (#239), Llama 3.2 1B: 23.8 (#292)
| Benchmark | Amazon Nova Micro | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | 1186 | 973 |
| LMArena Chinese | 1209 | 959 |
| LMArena German | 1192 | 1014 |
| LMArena Russian | 1185 | 941 |
| LMArena French | 1238 | — |
| LMArena Japanese | 1154 | — |
| LMArena Korean | 1150 | — |
| LMArena Spanish | 1225 | — |
Instruction Following Amazon Nova Micro leads
Amazon Nova Micro: 56.3 (#272), Llama 3.2 1B: 52.4 (#290)
| Benchmark | Amazon Nova Micro | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | 1174 | 1031 |
| LiveBench Instruction Following | 48% | — |
| IFEval | 76% | — |
Long Context Amazon Nova Micro leads
Amazon Nova Micro: 36.5 (#229), Llama 3.2 1B: 31.9 (#274)
| Benchmark | Amazon Nova Micro | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | 1205 | 1050 |
Writing & Preference Amazon Nova Micro leads
Amazon Nova Micro: 39.5 (#247), Llama 3.2 1B: 21.3 (#310)
| Benchmark | Amazon Nova Micro | Llama 3.2 1B |
|---|---|---|
| LMArena Text | 1208 | 1055 |
| LMArena Creative Writing | 1172 | 1033 |
| LMArena Multi-Turn | 1178 | 1030 |
| EQ-Bench Creative Writing | — | 200 |
| WildBench | 74.3% | — |
| LiveBench Language | 15.8% | — |
Frequently asked questions
Is Amazon Nova Micro better than Llama 3.2 1B?
Amazon Nova Micro is the stronger model overall, scoring 30.4 to 20.1 on the Noometry Index.
Which is cheaper, Amazon Nova Micro or Llama 3.2 1B?
Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; Llama 3.2 1B lists at $0.027 and $0.20.
Is Amazon Nova Micro or Llama 3.2 1B better for coding?
Amazon Nova Micro scores higher on coding benchmarks: 30.5 versus 21.1 in the Noometry coding category.
Which has the bigger context window?
Amazon Nova Micro does, with 128K tokens against 60K.
How many benchmarks do Amazon Nova Micro and Llama 3.2 1B share?
14 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and Llama 3.2 1B has 22.