# DeepSeek V4 Flash vs Llama 2-13B

> DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 29.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v4-flash-vs-llama-2-13b
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 8 categories and Llama 2-13B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 12.8.
- The biggest single-benchmark swing is DTBench: 90.9% for DeepSeek V4 Flash and 42.2% for Llama 2-13B.

## Snapshot

| | DeepSeek V4 Flash | Llama 2-13B |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 53.6 | 29.6 |
| Rank | 35 | 309 |
| Context | 1M | — |
| Input $/M | $0.15 | — |
| Output $/M | $0.60 | — |
| Weights | Open | Open |

## Coding

- DeepSeek V4 Flash: 47.9 (#59)
- Llama 2-13B: 30.9 (#291)

| Benchmark | DeepSeek V4 Flash | Llama 2-13B |
|---|---|---|
| LMArena Coding | 1457 | 1062 |
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| ALE-Bench | 1,306 | — |

## Reasoning

- DeepSeek V4 Flash: 53.7 (#30)
- Llama 2-13B: 12.8 (#337)

| Benchmark | DeepSeek V4 Flash | Llama 2-13B |
|---|---|---|
| Chess Puzzles | 33% | 0% |
| LMArena Hard Prompts | 1444 | 1051 |
| DTBench | 90.9% | 42.2% |
| Epoch Capabilities Index | 154.49 | 106.17 |
| 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% | — |
| Mystery Game Puzzles | 34% | — |
| LMCA | 41.7% | — |
| BIG-Bench Hard | — | 58.2% |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |

## Math

- DeepSeek V4 Flash: 60.3 (#37)
- Llama 2-13B: 31.1 (#229)

| Benchmark | DeepSeek V4 Flash | Llama 2-13B |
|---|---|---|
| LMArena Math | 1427 | 1065 |
| 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% | — |
| GSM8K | — | 36.9% |

## Knowledge

- DeepSeek V4 Flash: 55.4 (#48)
- Llama 2-13B: 28.1 (#249)

| Benchmark | DeepSeek V4 Flash | Llama 2-13B |
|---|---|---|
| LMArena Expert | 1441 | 1030 |
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 33.6% | — |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| MMLU | — | 55.6% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |

## Multimodal

- DeepSeek V4 Flash: —
- Llama 2-13B: —

| Benchmark | DeepSeek V4 Flash | Llama 2-13B |
|---|---|---|
| ScienceQA | — | 55.8% |

## Multilingual

- DeepSeek V4 Flash: 53.0 (#72)
- Llama 2-13B: 26.5 (#279)

| Benchmark | DeepSeek V4 Flash | Llama 2-13B |
|---|---|---|
| LMArena Non-English | 1420 | 1024 |
| LMArena Chinese | 1468 | 1001 |
| LMArena French | 1439 | 1044 |
| LMArena German | 1418 | 1009 |
| LMArena Japanese | 1406 | 894 |
| LMArena Korean | 1384 | 953 |
| LMArena Russian | 1428 | 1055 |
| LMArena Spanish | 1436 | 1087 |

## Instruction Following

- DeepSeek V4 Flash: 74.9 (#81)
- Llama 2-13B: 53.3 (#287)

| Benchmark | DeepSeek V4 Flash | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | 1421 | 1045 |

## Long Context

- DeepSeek V4 Flash: 43.8 (#85)
- Llama 2-13B: 32.3 (#269)

| Benchmark | DeepSeek V4 Flash | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | 1434 | 1064 |

## Writing & Preference

- DeepSeek V4 Flash: 63.8 (#61)
- Llama 2-13B: 29.8 (#289)

| Benchmark | DeepSeek V4 Flash | Llama 2-13B |
|---|---|---|
| LMArena Text | 1432 | 1084 |
| LMArena Creative Writing | 1403 | 1047 |
| LMArena Multi-Turn | 1449 | 1050 |
| EQ-Bench Creative Writing | 1559 | — |

## FAQ

### Is DeepSeek V4 Flash better than Llama 2-13B?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 29.6 on the Noometry Index.

### Is DeepSeek V4 Flash or Llama 2-13B better for coding?

DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 30.9 in the Noometry coding category.

### How many benchmarks do DeepSeek V4 Flash and Llama 2-13B share?

20 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Llama 2-13B has 32.