Model comparison
DeepSeek-V3.1-Terminus vs Nemotron 4 340b Instruct
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 35.9 on the Noometry Index.
Last verified . 10 shared benchmarks.
DeepSeek
NVIDIASummary
- They share 10 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 7 categories and Nemotron 4 340b Instruct in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.1-Terminus leads 61.0 to 42.7.
Side by side
| DeepSeek-V3.1-Terminus | Nemotron 4 340b Instruct | |
|---|---|---|
| Provider | DeepSeek | NVIDIA |
| Noometry Index | 43.1 | 35.9 |
| Released | 2025-09-22 | 2024-06-14 |
| Weights | Open | Open |
| Context window | 164K | — |
| Max output | 147K | — |
| Input $ / M tokens | $0.27 | — |
| Output $ / M tokens | $1 | — |
| Results tracked | 16 | 17 |
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Category by category
Coding DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 42.0 (#113), Nemotron 4 340b Instruct: 35.2 (#228)
| Benchmark | DeepSeek-V3.1-Terminus | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Coding | 1426 | 1209 |
| SciCode | 40.6% | — |
| ALE-Bench | 745.17 | — |
Reasoning DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 26.4 (#133), Nemotron 4 340b Instruct: 23.4 (#178)
| Benchmark | DeepSeek-V3.1-Terminus | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1202 |
| Kagi LLM Benchmark | 57.4% | — |
| CritPt | 1.7% | — |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |
Math DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 38.5 (#137), Nemotron 4 340b Instruct: 34.3 (#195)
| Benchmark | DeepSeek-V3.1-Terminus | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Math | 1402 | 1216 |
Knowledge Not comparable
DeepSeek-V3.1-Terminus: —, Nemotron 4 340b Instruct: 32.0 (#216)
| Benchmark | DeepSeek-V3.1-Terminus | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Expert | — | 1171 |
Multilingual DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 52.1 (#92), Nemotron 4 340b Instruct: 37.9 (#233)
| Benchmark | DeepSeek-V3.1-Terminus | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Non-English | 1407 | 1206 |
| LMArena Russian | 1436 | 1219 |
| LMArena Chinese | — | 1214 |
| LMArena French | — | 1197 |
| LMArena German | — | 1192 |
| LMArena Japanese | — | 1128 |
| LMArena Korean | — | 1148 |
| LMArena Spanish | — | 1195 |
Instruction Following DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 74.0 (#106), Nemotron 4 340b Instruct: 63.1 (#232)
| Benchmark | DeepSeek-V3.1-Terminus | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Instruction Following | 1404 | 1203 |
Long Context DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 43.4 (#97), Nemotron 4 340b Instruct: 37.1 (#221)
| Benchmark | DeepSeek-V3.1-Terminus | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Longer Query | 1421 | 1225 |
Writing & Preference DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 61.0 (#92), Nemotron 4 340b Instruct: 42.7 (#233)
| Benchmark | DeepSeek-V3.1-Terminus | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Text | 1419 | 1225 |
| LMArena Creative Writing | 1403 | 1203 |
| LMArena Multi-Turn | 1411 | 1214 |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than Nemotron 4 340b Instruct?
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 35.9 on the Noometry Index.
Is DeepSeek-V3.1-Terminus or Nemotron 4 340b Instruct better for coding?
DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 42.0 versus 35.2 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.1-Terminus and Nemotron 4 340b Instruct share?
10 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Nemotron 4 340b Instruct has 17.