Model comparison
DeepSeek V4 Flash vs Llama 3-70B
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 28.8 on the Noometry Index.
Last verified . 22 shared benchmarks.
DeepSeek
MetaSummary
- They share 22 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 8 categories and Llama 3-70B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4 Flash leads 60.3 to 12.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 94.4% for DeepSeek V4 Flash and 4.3% for Llama 3-70B.
Side by side
| DeepSeek V4 Flash | Llama 3-70B | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 53.6 | 28.8 |
| Released | 2026-04-24 | 2024-04-18 |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 41 | 31 |
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Category by category
Coding DeepSeek V4 Flash leads
DeepSeek V4 Flash: 47.9 (#59), Llama 3-70B: 35.8 (#218)
| Benchmark | DeepSeek V4 Flash | Llama 3-70B |
|---|---|---|
| LMArena Coding | 1457 | 1206 |
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| BigCodeBench Instruct | — | 43.6% |
| BigCodeBench Complete | — | 54.5% |
| ALE-Bench | 1,306 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |
Agentic & Tool Use Not comparable
DeepSeek V4 Flash: —, Llama 3-70B: 21.1 (#139)
| Benchmark | DeepSeek V4 Flash | Llama 3-70B |
|---|---|---|
| Cybench | — | 5% |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), Llama 3-70B: 18.0 (#288)
| Benchmark | DeepSeek V4 Flash | Llama 3-70B |
|---|---|---|
| Kagi LLM Benchmark | 52.2% | 35.1% |
| LMArena Hard Prompts | 1444 | 1195 |
| DTBench | 90.9% | 54.2% |
| Epoch Capabilities Index | 154.49 | 122.93 |
| ARC-AGI-2 | 61.4% | — |
| SimpleBench | 61.1% | — |
| NYT Connections (extended) | 89.6% | — |
| ARC-AGI-1 | 89% | — |
| CritPt | 16.6% | — |
| Chess Puzzles | 33% | — |
| Mystery Game Puzzles | 34% | — |
| LMCA | 41.7% | — |
| ForecastBench | — | 57.1 |
| WinoGrande | — | 83.5% |
Math DeepSeek V4 Flash leads
DeepSeek V4 Flash: 60.3 (#37), Llama 3-70B: 12.8 (#305)
| Benchmark | DeepSeek V4 Flash | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 94.4% | 4.3% |
| LMArena Math | 1427 | 1218 |
| FrontierMath (Tiers 1-3) | 57.5% | — |
| FrontierMath Tier 4 | 24.4% | — |
| MathArena Final-Answer Competitions | 76.5% | — |
| ProofBench | 56% | — |
| MATH Level 5 | — | 22.6% |
Knowledge DeepSeek V4 Flash leads
DeepSeek V4 Flash: 55.4 (#48), Llama 3-70B: 20.8 (#277)
| Benchmark | DeepSeek V4 Flash | Llama 3-70B |
|---|---|---|
| GPQA Diamond | 91% | 40.6% |
| LMArena Expert | 1441 | 1149 |
| SimpleQA Verified | 33.6% | — |
| MMLU | — | 79.3% |
Multilingual DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.0 (#72), Llama 3-70B: 33.6 (#251)
| Benchmark | DeepSeek V4 Flash | Llama 3-70B |
|---|---|---|
| LMArena Non-English | 1420 | 1142 |
| LMArena Chinese | 1468 | 1114 |
| LMArena French | 1439 | 1232 |
| LMArena German | 1418 | 1169 |
| LMArena Japanese | 1406 | 1017 |
| LMArena Korean | 1384 | 1017 |
| LMArena Russian | 1428 | 1159 |
| LMArena Spanish | 1436 | 1241 |
Instruction Following DeepSeek V4 Flash leads
DeepSeek V4 Flash: 74.9 (#81), Llama 3-70B: 62.5 (#238)
| Benchmark | DeepSeek V4 Flash | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | 1421 | 1194 |
Long Context DeepSeek V4 Flash leads
DeepSeek V4 Flash: 43.8 (#85), Llama 3-70B: 35.6 (#240)
| Benchmark | DeepSeek V4 Flash | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | 1434 | 1174 |
Writing & Preference DeepSeek V4 Flash leads
DeepSeek V4 Flash: 63.8 (#61), Llama 3-70B: 42.8 (#231)
| Benchmark | DeepSeek V4 Flash | Llama 3-70B |
|---|---|---|
| LMArena Text | 1432 | 1221 |
| LMArena Creative Writing | 1403 | 1210 |
| LMArena Multi-Turn | 1449 | 1223 |
| EQ-Bench Creative Writing | 1559 | — |
Frequently asked questions
Is DeepSeek V4 Flash better than Llama 3-70B?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 28.8 on the Noometry Index.
Is DeepSeek V4 Flash or Llama 3-70B better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 35.8 in the Noometry coding category.
How many benchmarks do DeepSeek V4 Flash and Llama 3-70B share?
22 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Llama 3-70B has 31.