# DeepSeek V4.1 Flash vs Llama 3-70B

> DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 28.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v4-1-flash-vs-llama-3-70b
- Last updated: 2026-10-12
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 9 categories and Llama 3-70B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 12.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.3% for DeepSeek V4.1 Flash and 4.3% for Llama 3-70B.

## Snapshot

| | DeepSeek V4.1 Flash | Llama 3-70B |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 52.8 | 28.8 |
| Rank | 38 | 323 |
| Context | 1M | — |
| Input $/M | $0.15 | — |
| Output $/M | $0.60 | — |
| Weights | Open | Open |

## Coding

- DeepSeek V4.1 Flash: 52.9 (#32)
- Llama 3-70B: 35.8 (#218)

| Benchmark | DeepSeek V4.1 Flash | Llama 3-70B |
|---|---|---|
| LMArena Coding | 1506 | 1206 |
| LMArena WebDev | 1619 | — |
| SciCode | 51.9% | — |
| BigCodeBench Instruct | — | 43.6% |
| BigCodeBench Complete | — | 54.5% |
| ALE-Bench | 1,092 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |

## Agentic & Tool Use

- DeepSeek V4.1 Flash: 31.2 (#69)
- Llama 3-70B: 21.1 (#139)

| Benchmark | DeepSeek V4.1 Flash | Llama 3-70B |
|---|---|---|
| APEX-Agents | 39.5% | — |
| Cybench | — | 5% |
| GDP.pdf | 19.8% | — |

## Reasoning

- DeepSeek V4.1 Flash: 50.2 (#36)
- Llama 3-70B: 18.0 (#288)

| Benchmark | DeepSeek V4.1 Flash | Llama 3-70B |
|---|---|---|
| LMArena Hard Prompts | 1483 | 1195 |
| DTBench | 89.9% | 54.2% |
| Epoch Capabilities Index | 154.9 | 122.93 |
| Kagi LLM Benchmark | — | 35.1% |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| Mystery Game Puzzles | 43% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| ForecastBench | — | 57.1 |
| WinoGrande | — | 83.5% |

## Math

- DeepSeek V4.1 Flash: 66.7 (#25)
- Llama 3-70B: 12.8 (#305)

| Benchmark | DeepSeek V4.1 Flash | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.3% | 4.3% |
| LMArena Math | 1477 | 1218 |
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| ProofBench | 54% | — |
| MATH Level 5 | — | 22.6% |

## Knowledge

- DeepSeek V4.1 Flash: 57.9 (#38)
- Llama 3-70B: 20.8 (#277)

| Benchmark | DeepSeek V4.1 Flash | Llama 3-70B |
|---|---|---|
| GPQA Diamond | 89.8% | 40.6% |
| LMArena Expert | 1506 | 1149 |
| MMLU | — | 79.3% |

## Multimodal

- DeepSeek V4.1 Flash: 39.1 (#61)
- Llama 3-70B: —

| Benchmark | DeepSeek V4.1 Flash | Llama 3-70B |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |

## Multilingual

- DeepSeek V4.1 Flash: 55.0 (#35)
- Llama 3-70B: 33.6 (#251)

| Benchmark | DeepSeek V4.1 Flash | Llama 3-70B |
|---|---|---|
| LMArena Non-English | 1448 | 1142 |
| LMArena Chinese | 1497 | 1114 |
| LMArena French | 1452 | 1232 |
| LMArena German | 1484 | 1169 |
| LMArena Japanese | 1412 | 1017 |
| LMArena Korean | 1452 | 1017 |
| LMArena Russian | 1471 | 1159 |
| LMArena Spanish | 1459 | 1241 |

## Instruction Following

- DeepSeek V4.1 Flash: 77.3 (#26)
- Llama 3-70B: 62.5 (#238)

| Benchmark | DeepSeek V4.1 Flash | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | 1474 | 1194 |

## Long Context

- DeepSeek V4.1 Flash: 45.2 (#47)
- Llama 3-70B: 35.6 (#240)

| Benchmark | DeepSeek V4.1 Flash | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | 1475 | 1174 |

## Writing & Preference

- DeepSeek V4.1 Flash: 65.4 (#48)
- Llama 3-70B: 42.8 (#231)

| Benchmark | DeepSeek V4.1 Flash | Llama 3-70B |
|---|---|---|
| LMArena Text | 1462 | 1221 |
| LMArena Creative Writing | 1435 | 1210 |
| LMArena Multi-Turn | 1457 | 1223 |
| EQ-Bench Creative Writing | 1540 | — |

## FAQ

### Is DeepSeek V4.1 Flash better than Llama 3-70B?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 28.8 on the Noometry Index.

### Is DeepSeek V4.1 Flash or Llama 3-70B better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 35.8 in the Noometry coding category.

### How many benchmarks do DeepSeek V4.1 Flash and Llama 3-70B share?

21 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Llama 3-70B has 31.