Model comparison
Amazon Nova Experimental Chat 12 10 vs Llama-3.3-70B-Instruct
Amazon Nova Experimental Chat 12 10 is the stronger model overall, scoring 42.3 to 30.3 on the Noometry Index.
Last verified . 12 shared benchmarks.
MetaSummary
- They share 12 benchmarks with published results for both. Amazon Nova Experimental Chat 12 10 scores higher in 8 categories and Llama-3.3-70B-Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Amazon Nova Experimental Chat 12 10 leads 36.1 to 14.3.
- Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Experimental Chat 12 10 | Llama-3.3-70B-Instruct | |
|---|---|---|
| Provider | Amazon | Meta |
| Noometry Index | 42.3 | 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 | 12 | 43 |
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Category by category
Coding Amazon Nova Experimental Chat 12 10 leads
Amazon Nova Experimental Chat 12 10: 41.5 (#112), Llama-3.3-70B-Instruct: 30.6 (#284)
| Benchmark | Amazon Nova Experimental Chat 12 10 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Coding | 1430 | 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 12 10: —, Llama-3.3-70B-Instruct: 25.6 (#100)
| Benchmark | Amazon Nova Experimental Chat 12 10 | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| BALROG | — | 23% |
Reasoning Amazon Nova Experimental Chat 12 10 leads
Amazon Nova Experimental Chat 12 10: 28.1 (#93), Llama-3.3-70B-Instruct: 13.7 (#325)
| Benchmark | Amazon Nova Experimental Chat 12 10 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Hard Prompts | 1427 | 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 Amazon Nova Experimental Chat 12 10 leads
Amazon Nova Experimental Chat 12 10: 36.1 (#130), Llama-3.3-70B-Instruct: 14.3 (#292)
| Benchmark | Amazon Nova Experimental Chat 12 10 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Math | 1418 | 1268 |
| OTIS Mock AIME 2024-2025 | — | 5.1% |
| LiveBench Math | — | 42.2% |
| MATH Level 5 | — | 41.6% |
Knowledge Amazon Nova Experimental Chat 12 10 leads
Amazon Nova Experimental Chat 12 10: 38.6 (#133), Llama-3.3-70B-Instruct: 30.5 (#220)
| Benchmark | Amazon Nova Experimental Chat 12 10 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Expert | 1409 | 1225 |
| GPQA Diamond | — | 47.4% |
| Confabulations | — | 22.8% |
| Vectara Hallucination Rate | — | 4.1% |
| MMLU | — | 86.3% |
Multilingual Amazon Nova Experimental Chat 12 10 leads
Amazon Nova Experimental Chat 12 10: 51.7 (#103), Llama-3.3-70B-Instruct: 40.1 (#215)
| Benchmark | Amazon Nova Experimental Chat 12 10 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 1399 | 1236 |
| LMArena Chinese | 1440 | 1217 |
| LMArena Russian | 1397 | 1252 |
| LMArena French | — | 1280 |
| LMArena German | — | 1251 |
| LMArena Japanese | — | 1149 |
| LMArena Korean | — | 1142 |
| LMArena Spanish | — | 1269 |
Instruction Following Amazon Nova Experimental Chat 12 10 leads
Amazon Nova Experimental Chat 12 10: 73.4 (#117), Llama-3.3-70B-Instruct: 71.3 (#152)
| Benchmark | Amazon Nova Experimental Chat 12 10 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Instruction Following | 1387 | 1242 |
| LiveBench Instruction Following | — | 82.7% |
Long Context Amazon Nova Experimental Chat 12 10 leads
Amazon Nova Experimental Chat 12 10: 42.4 (#120), Llama-3.3-70B-Instruct: 26.4 (#290)
| Benchmark | Amazon Nova Experimental Chat 12 10 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Longer Query | 1391 | 1256 |
| Fiction.LiveBench | — | 33.3% |
Writing & Preference Amazon Nova Experimental Chat 12 10 leads
Amazon Nova Experimental Chat 12 10: 59.7 (#104), Llama-3.3-70B-Instruct: 47.8 (#203)
| Benchmark | Amazon Nova Experimental Chat 12 10 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1420 | 1274 |
| LMArena Creative Writing | 1351 | 1250 |
| LMArena Multi-Turn | 1409 | 1279 |
| LiveBench Language | — | 39.2% |
Frequently asked questions
Is Amazon Nova Experimental Chat 12 10 better than Llama-3.3-70B-Instruct?
Amazon Nova Experimental Chat 12 10 is the stronger model overall, scoring 42.3 to 30.3 on the Noometry Index.
Is Amazon Nova Experimental Chat 12 10 or Llama-3.3-70B-Instruct better for coding?
Amazon Nova Experimental Chat 12 10 scores higher on coding benchmarks: 41.5 versus 30.6 in the Noometry coding category.
How many benchmarks do Amazon Nova Experimental Chat 12 10 and Llama-3.3-70B-Instruct share?
12 benchmarks have published results for both models. Amazon Nova Experimental Chat 12 10 has 12 scored results on Noometry and Llama-3.3-70B-Instruct has 43.