Model comparison
Amazon Nova Micro vs Llama 3.1-8B
Amazon Nova Micro is the stronger model overall, scoring 30.4 to 23.0 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 7 categories and Llama 3.1-8B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Amazon Nova Micro leads 29.6 to 8.0.
- The biggest single-benchmark swing is GPQA (HELM): 38.3% for Amazon Nova Micro and 24.7% for Llama 3.1-8B.
- Llama 3.1-8B is cheaper at $0.05 / $0.08 per million input/output tokens, against $0.035 / $0.14 for Amazon Nova Micro.
- Llama 3.1-8B has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Micro | Llama 3.1-8B | |
|---|---|---|
| Provider | Amazon | Meta |
| Noometry Index | 30.4 | 23.0 |
| Released | 2024-12-03 | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | 128K | 128K |
| Max output | 10K | 4K |
| Input $ / M tokens | $0.035 | $0.05 |
| Output $ / M tokens | $0.14 | $0.08 |
| Results tracked | 32 | 43 |
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Category by category
Coding Amazon Nova Micro leads
Amazon Nova Micro: 30.5 (#295), Llama 3.1-8B: 20.2 (#340)
| Benchmark | Amazon Nova Micro | Llama 3.1-8B |
|---|---|---|
| LMArena Coding | 1218 | 1195 |
| SciCode | — | 13.2% |
| WeirdML | — | 1.7% |
| BigCodeBench Instruct | — | 32.8% |
| LiveBench Coding | 20.2% | — |
| BigCodeBench Complete | — | 40.5% |
| HumanEval+ | — | 62.8% |
| MBPP+ | — | 55.6% |
Agentic & Tool Use Too close to call
Amazon Nova Micro: 22.1 (#132), Llama 3.1-8B: 22.5 (#131)
| Benchmark | Amazon Nova Micro | Llama 3.1-8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 22.3% | 25.8% |
| BALROG | — | 15.1% |
Reasoning Amazon Nova Micro leads
Amazon Nova Micro: 17.4 (#294), Llama 3.1-8B: 14.9 (#321)
| Benchmark | Amazon Nova Micro | Llama 3.1-8B |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1175 |
| CritPt | — | 0% |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | 25.1% | — |
| DTBench | — | 50.9% |
| LiveBench Data Analysis | 34% | — |
| LMCA | — | 5.4% |
| Epoch Capabilities Index | — | 116.57 |
| LiveBench | 29.6% | — |
| PIQA | — | 81.2% |
Math Amazon Nova Micro leads
Amazon Nova Micro: 26.9 (#254), Llama 3.1-8B: 10.2 (#317)
| Benchmark | Amazon Nova Micro | Llama 3.1-8B |
|---|---|---|
| Omni-MATH | 21.4% | 13.7% |
| LMArena Math | 1206 | 1179 |
| OTIS Mock AIME 2024-2025 | — | 1.7% |
| LiveBench Math | 34.5% | — |
| MATH Level 5 | — | 22.9% |
| GSM8K | — | 82.4% |
Knowledge Amazon Nova Micro leads
Amazon Nova Micro: 29.6 (#237), Llama 3.1-8B: 8.0 (#307)
| Benchmark | Amazon Nova Micro | Llama 3.1-8B |
|---|---|---|
| MMLU-Pro | 51.1% | 40.6% |
| GPQA (HELM) | 38.3% | 24.7% |
| LMArena Expert | 1184 | 1144 |
| MMLU | 70.8% | 56.1% |
| GPQA Diamond | — | 27% |
| Vectara Hallucination Rate | 5.5% | — |
| BoolQ | — | 82.8% |
Multilingual Amazon Nova Micro leads
Amazon Nova Micro: 36.5 (#239), Llama 3.1-8B: 34.0 (#249)
| Benchmark | Amazon Nova Micro | Llama 3.1-8B |
|---|---|---|
| LMArena Non-English | 1186 | 1148 |
| LMArena Chinese | 1209 | 1151 |
| LMArena French | 1238 | 1177 |
| LMArena German | 1192 | 1144 |
| LMArena Japanese | 1154 | 1061 |
| LMArena Korean | 1150 | 1053 |
| LMArena Russian | 1185 | 1158 |
| LMArena Spanish | 1225 | 1169 |
Instruction Following Llama 3.1-8B leads
Amazon Nova Micro: 56.3 (#272), Llama 3.1-8B: 58.9 (#258)
| Benchmark | Amazon Nova Micro | Llama 3.1-8B |
|---|---|---|
| IFEval | 76% | 74.3% |
| LMArena Instruction Following | 1174 | 1159 |
| LiveBench Instruction Following | 48% | — |
Long Context Too close to call
Amazon Nova Micro: 36.5 (#229), Llama 3.1-8B: 35.8 (#238)
| Benchmark | Amazon Nova Micro | Llama 3.1-8B |
|---|---|---|
| LMArena Longer Query | 1205 | 1182 |
Writing & Preference Amazon Nova Micro leads
Amazon Nova Micro: 39.5 (#247), Llama 3.1-8B: 29.7 (#290)
| Benchmark | Amazon Nova Micro | Llama 3.1-8B |
|---|---|---|
| LMArena Text | 1208 | 1187 |
| LMArena Creative Writing | 1172 | 1154 |
| WildBench | 74.3% | 68.7% |
| LMArena Multi-Turn | 1178 | 1172 |
| EQ-Bench Creative Writing | — | 713 |
| LiveBench Language | 15.8% | — |
Frequently asked questions
Is Amazon Nova Micro better than Llama 3.1-8B?
Amazon Nova Micro is the stronger model overall, scoring 30.4 to 23.0 on the Noometry Index.
Which is cheaper, Amazon Nova Micro or Llama 3.1-8B?
Llama 3.1-8B is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; Amazon Nova Micro lists at $0.035 and $0.14.
Is Amazon Nova Micro or Llama 3.1-8B 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 3.1-8B share?
24 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and Llama 3.1-8B has 43.