Model comparison
DeepSeek-V3.1-Terminus vs Nemotron 3 Super
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 39.6 on the Noometry Index. Nemotron 3 Super costs 2.8× less per token, which makes it the better buy when DeepSeek-V3.1-Terminus's lead doesn't matter for your workload.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 6 categories and Nemotron 3 Super in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.1-Terminus leads 25.7 to 17.9.
- Nemotron 3 Super is cheaper at $0.08 / $0.45 per million input/output tokens, against $0.30 / $1 for DeepSeek-V3.1-Terminus.
- Nemotron 3 Super accepts more context: 262K tokens versus 164K.
Side by side
| DeepSeek-V3.1-Terminus | Nemotron 3 Super | |
|---|---|---|
| Provider | DeepSeek | NVIDIA |
| Noometry Index | 42.6 | 39.6 |
| Released | 2025-09-22 | 2026-03-11 |
| Weights | Open | Open |
| Context window | 164K | 262K |
| Max output | 66K | 131K |
| Input $ / M tokens | $0.30 | $0.08 |
| Output $ / M tokens | $1 | $0.45 |
| Results tracked | 16 | 21 |
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Category by category
Coding DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 41.5 (#114), Nemotron 3 Super: 38.9 (#153)
| Benchmark | DeepSeek-V3.1-Terminus | Nemotron 3 Super |
|---|---|---|
| SciCode | 40.6% | 36% |
| LMArena Coding | 1426 | 1403 |
| ALE-Bench | 745.17 | 213.9 |
| WeirdML | — | 38% |
Reasoning DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 25.7 (#126), Nemotron 3 Super: 17.9 (#274)
| Benchmark | DeepSeek-V3.1-Terminus | Nemotron 3 Super |
|---|---|---|
| CritPt | 1.7% | 3.1% |
| LMArena Hard Prompts | 1427 | 1386 |
| Kagi LLM Benchmark | 57.4% | — |
| NYT Connections (extended) | — | 15.4% |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |
Math Nemotron 3 Super leads
DeepSeek-V3.1-Terminus: 35.7 (#138), Nemotron 3 Super: 37.6 (#95)
| Benchmark | DeepSeek-V3.1-Terminus | Nemotron 3 Super |
|---|---|---|
| LMArena Math | 1402 | 1381 |
| MathArena Final-Answer Competitions | — | 60.4% |
Knowledge Not comparable
DeepSeek-V3.1-Terminus: —, Nemotron 3 Super: 38.2 (#136)
| Benchmark | DeepSeek-V3.1-Terminus | Nemotron 3 Super |
|---|---|---|
| LMArena Expert | — | 1397 |
Multilingual DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 52.3 (#87), Nemotron 3 Super: 48.6 (#139)
| Benchmark | DeepSeek-V3.1-Terminus | Nemotron 3 Super |
|---|---|---|
| LMArena Non-English | 1407 | 1356 |
| LMArena Russian | 1434 | 1336 |
| LMArena Chinese | — | 1430 |
| LMArena French | — | 1404 |
| LMArena German | — | 1341 |
| LMArena Spanish | — | 1417 |
Instruction Following DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 74.4 (#96), Nemotron 3 Super: 71.4 (#149)
| Benchmark | DeepSeek-V3.1-Terminus | Nemotron 3 Super |
|---|---|---|
| LMArena Instruction Following | 1406 | 1347 |
Long Context DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 43.5 (#88), Nemotron 3 Super: 41.5 (#134)
| Benchmark | DeepSeek-V3.1-Terminus | Nemotron 3 Super |
|---|---|---|
| LMArena Longer Query | 1426 | 1362 |
Writing & Preference DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 61.3 (#87), Nemotron 3 Super: 56.1 (#135)
| Benchmark | DeepSeek-V3.1-Terminus | Nemotron 3 Super |
|---|---|---|
| LMArena Text | 1420 | 1378 |
| LMArena Creative Writing | 1404 | 1317 |
| LMArena Multi-Turn | 1411 | 1369 |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than Nemotron 3 Super?
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 39.6 on the Noometry Index. Nemotron 3 Super costs 2.8× less per token, which makes it the better buy when DeepSeek-V3.1-Terminus's lead doesn't matter for your workload.
Which is cheaper, DeepSeek-V3.1-Terminus or Nemotron 3 Super?
Nemotron 3 Super is cheaper. It lists at $0.08 per million input tokens and $0.45 per million output tokens; DeepSeek-V3.1-Terminus lists at $0.30 and $1.
Is DeepSeek-V3.1-Terminus or Nemotron 3 Super better for coding?
DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 41.5 versus 38.9 in the Noometry coding category.
Which has the bigger context window?
Nemotron 3 Super does, with 262K tokens against 164K.
How many benchmarks do DeepSeek-V3.1-Terminus and Nemotron 3 Super share?
13 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Nemotron 3 Super has 21.