Model comparison
Amazon Nova Experimental Chat 10 09 vs DeepSeek-R1-Distill-Qwen-14B
Amazon Nova Experimental Chat 10 09 is the stronger model overall, scoring 41.9 to 32.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in reasoning, where Amazon Nova Experimental Chat 10 09 leads 27.3 to 19.2.
- DeepSeek-R1-Distill-Qwen-14B has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Experimental Chat 10 09 | DeepSeek-R1-Distill-Qwen-14B | |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 41.9 | 32.7 |
| Released | — | 2025-01-20 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 7 |
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Category by category
Coding Amazon Nova Experimental Chat 10 09 leads
Amazon Nova Experimental Chat 10 09: 40.2 (#145), DeepSeek-R1-Distill-Qwen-14B: 36.9 (#200)
| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| BigCodeBench Instruct | — | 38.1% |
| LMArena Coding | 1370 | — |
| BigCodeBench Complete | — | 48.4% |
Reasoning Amazon Nova Experimental Chat 10 09 leads
Amazon Nova Experimental Chat 10 09: 27.3 (#120), DeepSeek-R1-Distill-Qwen-14B: 19.2 (#263)
| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | 1356 | — |
| Epoch Capabilities Index | — | 135.43 |
Math Not comparable
Amazon Nova Experimental Chat 10 09: —, DeepSeek-R1-Distill-Qwen-14B: 35.5 (#184)
| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 50.6% |
| MATH Level 5 | — | 87.1% |
Knowledge Not comparable
Amazon Nova Experimental Chat 10 09: —, DeepSeek-R1-Distill-Qwen-14B: 24.1 (#270)
| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| GPQA Diamond | — | 44.7% |
Multilingual Not comparable
Amazon Nova Experimental Chat 10 09: 47.3 (#150), DeepSeek-R1-Distill-Qwen-14B: —
| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| LMArena Non-English | 1340 | — |
| LMArena Chinese | 1341 | — |
Instruction Following Not comparable
Amazon Nova Experimental Chat 10 09: 69.4 (#172), DeepSeek-R1-Distill-Qwen-14B: —
| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1315 | — |
Long Context Not comparable
Amazon Nova Experimental Chat 10 09: 40.5 (#152), DeepSeek-R1-Distill-Qwen-14B: —
| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1333 | — |
Writing & Preference Not comparable
Amazon Nova Experimental Chat 10 09: 54.7 (#149), DeepSeek-R1-Distill-Qwen-14B: —
| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| LMArena Text | 1364 | — |
| LMArena Creative Writing | 1307 | — |
| LMArena Multi-Turn | 1355 | — |
Frequently asked questions
Is Amazon Nova Experimental Chat 10 09 better than DeepSeek-R1-Distill-Qwen-14B?
Amazon Nova Experimental Chat 10 09 is the stronger model overall, scoring 41.9 to 32.7 on the Noometry Index.
Is Amazon Nova Experimental Chat 10 09 or DeepSeek-R1-Distill-Qwen-14B better for coding?
Amazon Nova Experimental Chat 10 09 scores higher on coding benchmarks: 40.2 versus 36.9 in the Noometry coding category.
How many benchmarks do Amazon Nova Experimental Chat 10 09 and DeepSeek-R1-Distill-Qwen-14B share?
0 benchmarks have published results for both models. Amazon Nova Experimental Chat 10 09 has 9 scored results on Noometry and DeepSeek-R1-Distill-Qwen-14B has 7.