Model comparison
Amazon Nova Micro vs Llama 3.1-70B
Amazon Nova Micro and Llama 3.1-70B score almost the same on the Noometry Index (30.4 vs 29.6), so choose on price, context window or the category you care about most.
Last verified . 23 shared benchmarks.
MetaSummary
- They share 23 benchmarks with published results for both. Amazon Nova Micro scores higher in 4 categories and Llama 3.1-70B in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Amazon Nova Micro leads 26.9 to 13.5.
- The biggest single-benchmark swing is MMLU-Pro: 51.1% for Amazon Nova Micro and 65.3% for Llama 3.1-70B.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.40 / $0.40 for Llama 3.1-70B.
- Llama 3.1-70B has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Micro | Llama 3.1-70B | |
|---|---|---|
| Provider | Amazon | Meta |
| Noometry Index | 30.4 | 29.6 |
| Released | 2024-12-03 | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | 128K | 128K |
| Max output | 10K | 4K |
| Input $ / M tokens | $0.035 | $0.40 |
| Output $ / M tokens | $0.14 | $0.40 |
| Results tracked | 32 | 35 |
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Category by category
Coding Too close to call
Amazon Nova Micro: 30.5 (#295), Llama 3.1-70B: 30.3 (#296)
| Benchmark | Amazon Nova Micro | Llama 3.1-70B |
|---|---|---|
| LMArena Coding | 1218 | 1260 |
| WeirdML | — | 9% |
| BigCodeBench Instruct | — | 46.1% |
| LiveBench Coding | 20.2% | — |
| BigCodeBench Complete | — | 54.8% |
Agentic & Tool Use Llama 3.1-70B leads
Amazon Nova Micro: 22.1 (#132), Llama 3.1-70B: 25.1 (#112)
| Benchmark | Amazon Nova Micro | Llama 3.1-70B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 22.3% | — |
| TheAgentCompany | — | 6.9% |
| BALROG | — | 27.9% |
Reasoning Llama 3.1-70B leads
Amazon Nova Micro: 17.4 (#294), Llama 3.1-70B: 21.6 (#220)
| Benchmark | Amazon Nova Micro | Llama 3.1-70B |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1241 |
| LiveBench Reasoning | 25.1% | — |
| DTBench | — | 60% |
| LiveBench Data Analysis | 34% | — |
| LMCA | — | 14.8% |
| Epoch Capabilities Index | — | 125.92 |
| LiveBench | 29.6% | — |
Math Amazon Nova Micro leads
Amazon Nova Micro: 26.9 (#254), Llama 3.1-70B: 13.5 (#304)
| Benchmark | Amazon Nova Micro | Llama 3.1-70B |
|---|---|---|
| Omni-MATH | 21.4% | 21% |
| LMArena Math | 1206 | 1252 |
| OTIS Mock AIME 2024-2025 | — | 3.6% |
| LiveBench Math | 34.5% | — |
| MATH Level 5 | — | 36.7% |
Knowledge Amazon Nova Micro leads
Amazon Nova Micro: 29.6 (#237), Llama 3.1-70B: 24.2 (#269)
| Benchmark | Amazon Nova Micro | Llama 3.1-70B |
|---|---|---|
| MMLU-Pro | 51.1% | 65.3% |
| GPQA (HELM) | 38.3% | 42.6% |
| LMArena Expert | 1184 | 1209 |
| MMLU | 70.8% | 80.1% |
| GPQA Diamond | — | 44.2% |
| Vectara Hallucination Rate | 5.5% | — |
Multilingual Llama 3.1-70B leads
Amazon Nova Micro: 36.5 (#239), Llama 3.1-70B: 38.8 (#225)
| Benchmark | Amazon Nova Micro | Llama 3.1-70B |
|---|---|---|
| LMArena Non-English | 1186 | 1219 |
| LMArena Chinese | 1209 | 1215 |
| LMArena French | 1238 | 1261 |
| LMArena German | 1192 | 1222 |
| LMArena Japanese | 1154 | 1132 |
| LMArena Korean | 1150 | 1140 |
| LMArena Russian | 1185 | 1234 |
| LMArena Spanish | 1225 | 1253 |
Instruction Following Llama 3.1-70B leads
Amazon Nova Micro: 56.3 (#272), Llama 3.1-70B: 65.3 (#223)
| Benchmark | Amazon Nova Micro | Llama 3.1-70B |
|---|---|---|
| IFEval | 76% | 82.1% |
| LMArena Instruction Following | 1174 | 1231 |
| LiveBench Instruction Following | 48% | — |
Long Context Llama 3.1-70B leads
Amazon Nova Micro: 36.5 (#229), Llama 3.1-70B: 37.6 (#214)
| Benchmark | Amazon Nova Micro | Llama 3.1-70B |
|---|---|---|
| LMArena Longer Query | 1205 | 1241 |
Writing & Preference Amazon Nova Micro leads
Amazon Nova Micro: 39.5 (#247), Llama 3.1-70B: 35.4 (#267)
| Benchmark | Amazon Nova Micro | Llama 3.1-70B |
|---|---|---|
| LMArena Text | 1208 | 1261 |
| LMArena Creative Writing | 1172 | 1232 |
| WildBench | 74.3% | 75.8% |
| LMArena Multi-Turn | 1178 | 1256 |
| EQ-Bench Creative Writing | — | 784 |
| LiveBench Language | 15.8% | — |
Frequently asked questions
Is Amazon Nova Micro better than Llama 3.1-70B?
Amazon Nova Micro and Llama 3.1-70B score almost the same on the Noometry Index (30.4 vs 29.6), so choose on price, context window or the category you care about most.
Which is cheaper, Amazon Nova Micro or Llama 3.1-70B?
Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; Llama 3.1-70B lists at $0.40 and $0.40.
Is Amazon Nova Micro or Llama 3.1-70B better for coding?
They score almost the same on coding (30.5 vs 30.3); test both on your own repository before choosing.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do Amazon Nova Micro and Llama 3.1-70B share?
23 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and Llama 3.1-70B has 35.