# DeepSeek-V2 (MoE-236B, May 2024) vs Llama 4 Maverick

> Llama 4 Maverick has enough public results to be ranked (#282); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-v2-vs-llama-4-maverick
- Last updated: 2026-10-11
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and Llama 4 Maverick in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 40.4 to 26.6.

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | Llama 4 Maverick |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 40.3 | 30.9 |
| Rank | — | 282 |
| Context | — | 128K |
| Input $/M | — | $0.19 |
| Output $/M | — | $0.65 |
| Weights | Open | Open |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139)
- Llama 4 Maverick: 26.6 (#324)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama 4 Maverick |
|---|---|---|
| BigCodeBench Instruct | 48.9% | 49.7% |
| BigCodeBench Complete | 59.4% | 61.4% |
| SWE-bench Verified (bash only) | — | 21% |
| Aider Polyglot | — | 15.6% |
| SciCode | — | 33.1% |
| WeirdML | — | 24.5% |
| LMArena Coding | — | 1302 |
| ALE-Bench | — | 172.97 |

## Agentic & Tool Use

- DeepSeek-V2 (MoE-236B, May 2024): —
- Llama 4 Maverick: 28.2 (#91)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama 4 Maverick |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.3% |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- Llama 4 Maverick: 10.1 (#342)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama 4 Maverick |
|---|---|---|
| Epoch Capabilities Index | 124.77 | 132.2 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 27.7% |
| Kagi LLM Benchmark | — | 55.9% |
| NYT Connections (extended) | — | 8% |
| ARC-AGI-1 | — | 4.4% |
| CritPt | — | 0% |
| EnigmaEval | — | 0.6% |
| LMArena Hard Prompts | — | 1281 |
| DTBench | — | 61.9% |
| LMCA | — | 15.9% |
| BIG-Bench Hard | 78.8% | — |
| ForecastBench | — | 57.5 |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |

## Math

- DeepSeek-V2 (MoE-236B, May 2024): —
- Llama 4 Maverick: 26.0 (#262)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama 4 Maverick |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 20.6% |
| Omni-MATH | — | 42.2% |
| LMArena Math | — | 1299 |
| MATH Level 5 | — | 73% |
| FrontierMath (Feb 2025 set) | — | 0.7% |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- Llama 4 Maverick: 33.4 (#204)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama 4 Maverick |
|---|---|---|
| GPQA Diamond | — | 67% |
| Humanity's Last Exam | — | 5.7% |
| MMLU-Pro | — | 81% |
| Confabulations | — | 22.6% |
| Vectara Hallucination Rate | — | 8.2% |
| GPQA (HELM) | — | 65% |
| LMArena Expert | — | 1259 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |

## Multimodal

- DeepSeek-V2 (MoE-236B, May 2024): —
- Llama 4 Maverick: 31.6 (#105)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | — | 1142 |
| GeoBench | — | 52% |
| SpatialViz-Bench | — | 31.8% |

## Multilingual

- DeepSeek-V2 (MoE-236B, May 2024): —
- Llama 4 Maverick: 42.2 (#195)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | — | 1269 |
| LMArena Chinese | — | 1277 |
| LMArena French | — | 1259 |
| LMArena German | — | 1291 |
| LMArena Japanese | — | 1207 |
| LMArena Korean | — | 1203 |
| LMArena Russian | — | 1286 |
| LMArena Spanish | — | 1293 |

## Instruction Following

- DeepSeek-V2 (MoE-236B, May 2024): —
- Llama 4 Maverick: 71.7 (#146)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama 4 Maverick |
|---|---|---|
| IFEval | — | 90.8% |
| LMArena Instruction Following | — | 1267 |

## Long Context

- DeepSeek-V2 (MoE-236B, May 2024): —
- Llama 4 Maverick: 31.4 (#279)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama 4 Maverick |
|---|---|---|
| Fiction.LiveBench | — | 46.2% |
| LMArena Longer Query | — | 1280 |

## Writing & Preference

- DeepSeek-V2 (MoE-236B, May 2024): —
- Llama 4 Maverick: 38.8 (#252)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama 4 Maverick |
|---|---|---|
| LMArena Text | — | 1287 |
| LMArena Creative Writing | — | 1267 |
| Short-Story Creative Writing | — | 62% |
| EQ-Bench Creative Writing | — | 860 |
| WildBench | — | 80% |
| LMArena Multi-Turn | — | 1289 |

## FAQ

### Is DeepSeek-V2 (MoE-236B, May 2024) better than Llama 4 Maverick?

Llama 4 Maverick has enough public results to be ranked (#282); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

### Is DeepSeek-V2 (MoE-236B, May 2024) or Llama 4 Maverick better for coding?

DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 40.4 versus 26.6 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Llama 4 Maverick share?

3 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Llama 4 Maverick has 54.