Model comparison
Amazon Nova Experimental Chat 10 09 vs Llama-3.3-70B-Instruct
Amazon Nova Experimental Chat 10 09 is the stronger model overall, scoring 41.4 to 30.3 on the Noometry Index.
Last verified . 9 shared benchmarks.
MetaSummary
- They share 9 benchmarks with published results for both. Amazon Nova Experimental Chat 10 09 scores higher in 5 categories and Llama-3.3-70B-Instruct in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in long context, where Amazon Nova Experimental Chat 10 09 leads 40.6 to 26.4.
- Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Experimental Chat 10 09 | Llama-3.3-70B-Instruct | |
|---|---|---|
| Provider | Amazon | Meta |
| Noometry Index | 41.4 | 30.3 |
| Released | — | 2024-12-06 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.32 |
| Results tracked | 9 | 43 |
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Category by category
Coding Amazon Nova Experimental Chat 10 09 leads
Amazon Nova Experimental Chat 10 09: 39.6 (#142), Llama-3.3-70B-Instruct: 30.6 (#284)
| Benchmark | Amazon Nova Experimental Chat 10 09 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Coding | 1371 | 1268 |
| SciCode | — | 26% |
| WeirdML | — | 14.4% |
| BigCodeBench Instruct | — | 46.9% |
| LiveBench Coding | — | 36.6% |
| BigCodeBench Complete | — | 57.5% |
Agentic & Tool Use Not comparable
Amazon Nova Experimental Chat 10 09: —, Llama-3.3-70B-Instruct: 25.6 (#100)
| Benchmark | Amazon Nova Experimental Chat 10 09 | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| BALROG | — | 23% |
Reasoning Amazon Nova Experimental Chat 10 09 leads
Amazon Nova Experimental Chat 10 09: 26.2 (#122), Llama-3.3-70B-Instruct: 13.7 (#325)
| Benchmark | Amazon Nova Experimental Chat 10 09 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1257 |
| SimpleBench | — | 19.9% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 50.8% |
| DTBench | — | 59.5% |
| LiveBench Data Analysis | — | 49.5% |
| LMCA | — | 17.5% |
| Epoch Capabilities Index | — | 127.32 |
| ForecastBench | — | 58.6 |
| LiveBench | — | 50.2% |
Math Not comparable
Amazon Nova Experimental Chat 10 09: —, Llama-3.3-70B-Instruct: 14.3 (#292)
| Benchmark | Amazon Nova Experimental Chat 10 09 | Llama-3.3-70B-Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 5.1% |
| LiveBench Math | — | 42.2% |
| LMArena Math | — | 1268 |
| MATH Level 5 | — | 41.6% |
Knowledge Not comparable
Amazon Nova Experimental Chat 10 09: —, Llama-3.3-70B-Instruct: 30.5 (#220)
| Benchmark | Amazon Nova Experimental Chat 10 09 | Llama-3.3-70B-Instruct |
|---|---|---|
| GPQA Diamond | — | 47.4% |
| Confabulations | — | 22.8% |
| Vectara Hallucination Rate | — | 4.1% |
| LMArena Expert | — | 1225 |
| MMLU | — | 86.3% |
Multilingual Amazon Nova Experimental Chat 10 09 leads
Amazon Nova Experimental Chat 10 09: 47.5 (#145), Llama-3.3-70B-Instruct: 40.1 (#215)
| Benchmark | Amazon Nova Experimental Chat 10 09 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 1341 | 1236 |
| LMArena Chinese | 1345 | 1217 |
| LMArena French | — | 1280 |
| LMArena German | — | 1251 |
| LMArena Japanese | — | 1149 |
| LMArena Korean | — | 1142 |
| LMArena Russian | — | 1252 |
| LMArena Spanish | — | 1269 |
Instruction Following Llama-3.3-70B-Instruct leads
Amazon Nova Experimental Chat 10 09: 69.7 (#167), Llama-3.3-70B-Instruct: 71.3 (#152)
| Benchmark | Amazon Nova Experimental Chat 10 09 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Instruction Following | 1316 | 1242 |
| LiveBench Instruction Following | — | 82.7% |
Long Context Amazon Nova Experimental Chat 10 09 leads
Amazon Nova Experimental Chat 10 09: 40.6 (#146), Llama-3.3-70B-Instruct: 26.4 (#290)
| Benchmark | Amazon Nova Experimental Chat 10 09 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Longer Query | 1334 | 1256 |
| Fiction.LiveBench | — | 33.3% |
Writing & Preference Amazon Nova Experimental Chat 10 09 leads
Amazon Nova Experimental Chat 10 09: 55.0 (#144), Llama-3.3-70B-Instruct: 47.8 (#203)
| Benchmark | Amazon Nova Experimental Chat 10 09 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1365 | 1274 |
| LMArena Creative Writing | 1307 | 1250 |
| LMArena Multi-Turn | 1354 | 1279 |
| LiveBench Language | — | 39.2% |
Frequently asked questions
Is Amazon Nova Experimental Chat 10 09 better than Llama-3.3-70B-Instruct?
Amazon Nova Experimental Chat 10 09 is the stronger model overall, scoring 41.4 to 30.3 on the Noometry Index.
Is Amazon Nova Experimental Chat 10 09 or Llama-3.3-70B-Instruct better for coding?
Amazon Nova Experimental Chat 10 09 scores higher on coding benchmarks: 39.6 versus 30.6 in the Noometry coding category.
How many benchmarks do Amazon Nova Experimental Chat 10 09 and Llama-3.3-70B-Instruct share?
9 benchmarks have published results for both models. Amazon Nova Experimental Chat 10 09 has 9 scored results on Noometry and Llama-3.3-70B-Instruct has 43.