Model comparison
Amazon Nova Experimental Chat 26 02 10 vs DeepSeek-V3.1-Terminus
Amazon Nova Experimental Chat 26 02 10 is the stronger model overall, scoring 44.5 to 43.1 on the Noometry Index.
Last verified . 10 shared benchmarks.
DeepSeekSummary
- They share 10 benchmarks with published results for both. Amazon Nova Experimental Chat 26 02 10 scores higher in 7 categories and DeepSeek-V3.1-Terminus in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Amazon Nova Experimental Chat 26 02 10 leads 30.1 to 26.4.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Experimental Chat 26 02 10 | DeepSeek-V3.1-Terminus | |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 44.5 | 43.1 |
| Released | — | 2025-09-22 |
| Weights | Proprietary | Open |
| Context window | — | 164K |
| Max output | — | 147K |
| Input $ / M tokens | — | $0.27 |
| Output $ / M tokens | — | $1 |
| Results tracked | 12 | 16 |
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Category by category
Coding Amazon Nova Experimental Chat 26 02 10 leads
Amazon Nova Experimental Chat 26 02 10: 43.9 (#82), DeepSeek-V3.1-Terminus: 42.0 (#113)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Coding | 1483 | 1426 |
| SciCode | — | 40.6% |
| ALE-Bench | — | 745.17 |
Reasoning Amazon Nova Experimental Chat 26 02 10 leads
Amazon Nova Experimental Chat 26 02 10: 30.1 (#86), DeepSeek-V3.1-Terminus: 26.4 (#133)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Hard Prompts | 1458 | 1426 |
| Kagi LLM Benchmark | — | 57.4% |
| CritPt | — | 1.7% |
| DTBench | — | 81.3% |
| LMCA | — | 28.6% |
Math Too close to call
Amazon Nova Experimental Chat 26 02 10: 39.3 (#109), DeepSeek-V3.1-Terminus: 38.5 (#137)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Math | 1438 | 1402 |
Knowledge Not comparable
Amazon Nova Experimental Chat 26 02 10: 42.3 (#97), DeepSeek-V3.1-Terminus: —
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Expert | 1506 | — |
Multilingual Amazon Nova Experimental Chat 26 02 10 leads
Amazon Nova Experimental Chat 26 02 10: 54.0 (#50), DeepSeek-V3.1-Terminus: 52.1 (#92)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Non-English | 1434 | 1407 |
| LMArena Russian | 1423 | 1436 |
| LMArena Chinese | 1463 | — |
Instruction Following Amazon Nova Experimental Chat 26 02 10 leads
Amazon Nova Experimental Chat 26 02 10: 75.2 (#69), DeepSeek-V3.1-Terminus: 74.0 (#106)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Instruction Following | 1427 | 1404 |
Long Context Too close to call
Amazon Nova Experimental Chat 26 02 10: 44.0 (#77), DeepSeek-V3.1-Terminus: 43.4 (#97)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Longer Query | 1441 | 1421 |
Writing & Preference Too close to call
Amazon Nova Experimental Chat 26 02 10: 61.8 (#84), DeepSeek-V3.1-Terminus: 61.0 (#92)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Text | 1448 | 1419 |
| LMArena Creative Writing | 1368 | 1403 |
| LMArena Multi-Turn | 1442 | 1411 |
Frequently asked questions
Is Amazon Nova Experimental Chat 26 02 10 better than DeepSeek-V3.1-Terminus?
Amazon Nova Experimental Chat 26 02 10 is the stronger model overall, scoring 44.5 to 43.1 on the Noometry Index.
Is Amazon Nova Experimental Chat 26 02 10 or DeepSeek-V3.1-Terminus better for coding?
Amazon Nova Experimental Chat 26 02 10 scores higher on coding benchmarks: 43.9 versus 42.0 in the Noometry coding category.
How many benchmarks do Amazon Nova Experimental Chat 26 02 10 and DeepSeek-V3.1-Terminus share?
10 benchmarks have published results for both models. Amazon Nova Experimental Chat 26 02 10 has 12 scored results on Noometry and DeepSeek-V3.1-Terminus has 16.