Model comparison
DeepSeek V4 Flash vs Llama 3.1 Nemotron 70b Instruct
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 37.6 on the Noometry Index.
Last verified . 12 shared benchmarks.
DeepSeek
NVIDIASummary
- They share 12 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 8 categories and Llama 3.1 Nemotron 70b Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 25.0.
Side by side
| DeepSeek V4 Flash | Llama 3.1 Nemotron 70b Instruct | |
|---|---|---|
| Provider | DeepSeek | NVIDIA |
| Noometry Index | 53.6 | 37.6 |
| Released | 2026-04-24 | 2024-12-18 |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 41 | 14 |
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Category by category
Coding DeepSeek V4 Flash leads
DeepSeek V4 Flash: 47.9 (#59), Llama 3.1 Nemotron 70b Instruct: 35.9 (#216)
| Benchmark | DeepSeek V4 Flash | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Coding | 1457 | 1272 |
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| BigCodeBench Instruct | — | 38.7% |
| BigCodeBench Complete | — | 48.2% |
| ALE-Bench | 1,306 | — |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), Llama 3.1 Nemotron 70b Instruct: 25.0 (#152)
| Benchmark | DeepSeek V4 Flash | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1444 | 1266 |
| ARC-AGI-2 | 61.4% | — |
| SimpleBench | 61.1% | — |
| Kagi LLM Benchmark | 52.2% | — |
| NYT Connections (extended) | 89.6% | — |
| ARC-AGI-1 | 89% | — |
| CritPt | 16.6% | — |
| Chess Puzzles | 33% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 90.9% | — |
| LMCA | 41.7% | — |
| Epoch Capabilities Index | 154.49 | — |
Math DeepSeek V4 Flash leads
DeepSeek V4 Flash: 60.3 (#37), Llama 3.1 Nemotron 70b Instruct: 35.5 (#182)
| Benchmark | DeepSeek V4 Flash | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Math | 1427 | 1271 |
| FrontierMath (Tiers 1-3) | 57.5% | — |
| FrontierMath Tier 4 | 24.4% | — |
| MathArena Final-Answer Competitions | 76.5% | — |
| OTIS Mock AIME 2024-2025 | 94.4% | — |
| ProofBench | 56% | — |
Knowledge DeepSeek V4 Flash leads
DeepSeek V4 Flash: 55.4 (#48), Llama 3.1 Nemotron 70b Instruct: 34.1 (#199)
| Benchmark | DeepSeek V4 Flash | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Expert | 1441 | 1242 |
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 33.6% | — |
Multilingual DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.0 (#72), Llama 3.1 Nemotron 70b Instruct: 40.5 (#217)
| Benchmark | DeepSeek V4 Flash | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Non-English | 1420 | 1245 |
| LMArena Chinese | 1468 | 1263 |
| LMArena Russian | 1428 | 1227 |
| LMArena French | 1439 | — |
| LMArena German | 1418 | — |
| LMArena Japanese | 1406 | — |
| LMArena Korean | 1384 | — |
| LMArena Spanish | 1436 | — |
Instruction Following DeepSeek V4 Flash leads
DeepSeek V4 Flash: 74.9 (#81), Llama 3.1 Nemotron 70b Instruct: 65.9 (#213)
| Benchmark | DeepSeek V4 Flash | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Instruction Following | 1421 | 1252 |
Long Context DeepSeek V4 Flash leads
DeepSeek V4 Flash: 43.8 (#85), Llama 3.1 Nemotron 70b Instruct: 37.6 (#215)
| Benchmark | DeepSeek V4 Flash | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Longer Query | 1434 | 1238 |
Writing & Preference DeepSeek V4 Flash leads
DeepSeek V4 Flash: 63.8 (#61), Llama 3.1 Nemotron 70b Instruct: 48.4 (#203)
| Benchmark | DeepSeek V4 Flash | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Text | 1432 | 1283 |
| LMArena Creative Writing | 1403 | 1269 |
| LMArena Multi-Turn | 1449 | 1275 |
| EQ-Bench Creative Writing | 1559 | — |
Frequently asked questions
Is DeepSeek V4 Flash better than Llama 3.1 Nemotron 70b Instruct?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 37.6 on the Noometry Index.
Is DeepSeek V4 Flash or Llama 3.1 Nemotron 70b Instruct better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 35.9 in the Noometry coding category.
How many benchmarks do DeepSeek V4 Flash and Llama 3.1 Nemotron 70b Instruct share?
12 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Llama 3.1 Nemotron 70b Instruct has 14.