Model comparison
DeepSeek V4.1 Flash vs Llama 3.3 Nemotron 49b Super v1
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 40.1 on the Noometry Index.
Last verified . 10 shared benchmarks.
DeepSeek
NVIDIASummary
- They share 10 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 6 categories and Llama 3.3 Nemotron 49b Super v1 in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 50.2 to 26.2.
Side by side
| DeepSeek V4.1 Flash | Llama 3.3 Nemotron 49b Super v1 | |
|---|---|---|
| Provider | DeepSeek | NVIDIA |
| Noometry Index | 52.8 | 40.1 |
| Released | 2026-09-09 | — |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 37 | 10 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.9 (#32), Llama 3.3 Nemotron 49b Super v1: 37.9 (#186)
| Benchmark | DeepSeek V4.1 Flash | Llama 3.3 Nemotron 49b Super v1 |
|---|---|---|
| LMArena Coding | 1506 | 1296 |
| LMArena WebDev | 1619 | — |
| SciCode | 51.9% | — |
| ALE-Bench | 1,092 | — |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: 31.2 (#69), Llama 3.3 Nemotron 49b Super v1: —
| Benchmark | DeepSeek V4.1 Flash | Llama 3.3 Nemotron 49b Super v1 |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 50.2 (#36), Llama 3.3 Nemotron 49b Super v1: 26.2 (#135)
| Benchmark | DeepSeek V4.1 Flash | Llama 3.3 Nemotron 49b Super v1 |
|---|---|---|
| LMArena Hard Prompts | 1483 | 1311 |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| Epoch Capabilities Index | 154.9 | — |
Math Not comparable
DeepSeek V4.1 Flash: 66.7 (#25), Llama 3.3 Nemotron 49b Super v1: —
| Benchmark | DeepSeek V4.1 Flash | Llama 3.3 Nemotron 49b Super v1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 54% | — |
| LMArena Math | 1477 | — |
Knowledge Not comparable
DeepSeek V4.1 Flash: 57.9 (#38), Llama 3.3 Nemotron 49b Super v1: —
| Benchmark | DeepSeek V4.1 Flash | Llama 3.3 Nemotron 49b Super v1 |
|---|---|---|
| GPQA Diamond | 89.8% | — |
| LMArena Expert | 1506 | — |
Multimodal Not comparable
DeepSeek V4.1 Flash: 39.1 (#61), Llama 3.3 Nemotron 49b Super v1: —
| Benchmark | DeepSeek V4.1 Flash | Llama 3.3 Nemotron 49b Super v1 |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 55.0 (#35), Llama 3.3 Nemotron 49b Super v1: 41.1 (#211)
| Benchmark | DeepSeek V4.1 Flash | Llama 3.3 Nemotron 49b Super v1 |
|---|---|---|
| LMArena Non-English | 1448 | 1253 |
| LMArena Chinese | 1497 | 1277 |
| LMArena Russian | 1471 | 1269 |
| LMArena French | 1452 | — |
| LMArena German | 1484 | — |
| LMArena Japanese | 1412 | — |
| LMArena Korean | 1452 | — |
| LMArena Spanish | 1459 | — |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.3 (#26), Llama 3.3 Nemotron 49b Super v1: 68.3 (#189)
| Benchmark | DeepSeek V4.1 Flash | Llama 3.3 Nemotron 49b Super v1 |
|---|---|---|
| LMArena Instruction Following | 1474 | 1293 |
Long Context DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 45.2 (#47), Llama 3.3 Nemotron 49b Super v1: 39.5 (#176)
| Benchmark | DeepSeek V4.1 Flash | Llama 3.3 Nemotron 49b Super v1 |
|---|---|---|
| LMArena Longer Query | 1475 | 1299 |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.4 (#48), Llama 3.3 Nemotron 49b Super v1: 50.8 (#179)
| Benchmark | DeepSeek V4.1 Flash | Llama 3.3 Nemotron 49b Super v1 |
|---|---|---|
| LMArena Text | 1462 | 1308 |
| LMArena Creative Writing | 1435 | 1288 |
| LMArena Multi-Turn | 1457 | 1315 |
| EQ-Bench Creative Writing | 1540 | — |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Llama 3.3 Nemotron 49b Super v1?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 40.1 on the Noometry Index.
Is DeepSeek V4.1 Flash or Llama 3.3 Nemotron 49b Super v1 better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 37.9 in the Noometry coding category.
How many benchmarks do DeepSeek V4.1 Flash and Llama 3.3 Nemotron 49b Super v1 share?
10 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Llama 3.3 Nemotron 49b Super v1 has 10.