# DeepSeek LLM 67B vs Llama 4 Maverick

> Llama 4 Maverick is the stronger model overall, scoring 30.9 to 24.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-llama-4-maverick
- Last updated: 2026-10-12
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 3 categories and Llama 4 Maverick in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 4 Maverick leads 33.4 to 7.0.
- The biggest single-benchmark swing is MATH Level 5: 6.4% for DeepSeek LLM 67B and 73% for Llama 4 Maverick.

## Snapshot

| | DeepSeek LLM 67B | Llama 4 Maverick |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 24.9 | 30.9 |
| Rank | 347 | 282 |
| Context | — | 128K |
| Input $/M | — | $0.19 |
| Output $/M | — | $0.65 |
| Weights | Open | Open |

## Coding

- DeepSeek LLM 67B: 31.9 (#278)
- Llama 4 Maverick: 26.6 (#324)

| Benchmark | DeepSeek LLM 67B | Llama 4 Maverick |
|---|---|---|
| LMArena Coding | 1096 | 1302 |
| SWE-bench Verified (bash only) | — | 21% |
| Aider Polyglot | — | 15.6% |
| SciCode | — | 33.1% |
| WeirdML | — | 24.5% |
| BigCodeBench Instruct | — | 49.7% |
| BigCodeBench Complete | — | 61.4% |
| ALE-Bench | — | 172.97 |

## Agentic & Tool Use

- DeepSeek LLM 67B: —
- Llama 4 Maverick: 28.2 (#91)

| Benchmark | DeepSeek LLM 67B | Llama 4 Maverick |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.3% |

## Reasoning

- DeepSeek LLM 67B: 16.5 (#304)
- Llama 4 Maverick: 10.1 (#342)

| Benchmark | DeepSeek LLM 67B | Llama 4 Maverick |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1281 |
| Epoch Capabilities Index | 110.5 | 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% |
| Chess Puzzles | 0% | — |
| EnigmaEval | — | 0.6% |
| DTBench | — | 61.9% |
| LMCA | — | 15.9% |
| ForecastBench | — | 57.5 |

## Math

- DeepSeek LLM 67B: 8.7 (#324)
- Llama 4 Maverick: 26.0 (#262)

| Benchmark | DeepSeek LLM 67B | Llama 4 Maverick |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 20.6% |
| LMArena Math | 1108 | 1299 |
| MATH Level 5 | 6.4% | 73% |
| Omni-MATH | — | 42.2% |
| FrontierMath (Feb 2025 set) | — | 0.7% |

## Knowledge

- DeepSeek LLM 67B: 7.0 (#313)
- Llama 4 Maverick: 33.4 (#204)

| Benchmark | DeepSeek LLM 67B | Llama 4 Maverick |
|---|---|---|
| GPQA Diamond | 24.6% | 67% |
| Humanity's Last Exam | — | 5.7% |
| MMLU-Pro | — | 81% |
| Confabulations | — | 22.6% |
| Vectara Hallucination Rate | — | 8.2% |
| GPQA (HELM) | — | 65% |
| LMArena Expert | — | 1259 |

## Multimodal

- DeepSeek LLM 67B: —
- Llama 4 Maverick: 31.6 (#105)

| Benchmark | DeepSeek LLM 67B | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | — | 1142 |
| GeoBench | — | 52% |
| SpatialViz-Bench | — | 31.8% |

## Multilingual

- DeepSeek LLM 67B: 29.4 (#267)
- Llama 4 Maverick: 42.2 (#195)

| Benchmark | DeepSeek LLM 67B | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | 1073 | 1269 |
| LMArena Chinese | 1132 | 1277 |
| LMArena French | — | 1259 |
| LMArena German | — | 1291 |
| LMArena Japanese | — | 1207 |
| LMArena Korean | — | 1203 |
| LMArena Russian | — | 1286 |
| LMArena Spanish | — | 1293 |

## Instruction Following

- DeepSeek LLM 67B: 55.4 (#277)
- Llama 4 Maverick: 71.7 (#146)

| Benchmark | DeepSeek LLM 67B | Llama 4 Maverick |
|---|---|---|
| LMArena Instruction Following | 1079 | 1267 |
| IFEval | — | 90.8% |

## Long Context

- DeepSeek LLM 67B: 33.1 (#265)
- Llama 4 Maverick: 31.4 (#279)

| Benchmark | DeepSeek LLM 67B | Llama 4 Maverick |
|---|---|---|
| LMArena Longer Query | 1092 | 1280 |
| Fiction.LiveBench | — | 46.2% |

## Writing & Preference

- DeepSeek LLM 67B: 31.6 (#282)
- Llama 4 Maverick: 38.8 (#252)

| Benchmark | DeepSeek LLM 67B | Llama 4 Maverick |
|---|---|---|
| LMArena Text | 1105 | 1287 |
| LMArena Creative Writing | 1067 | 1267 |
| LMArena Multi-Turn | 1082 | 1289 |
| Short-Story Creative Writing | — | 62% |
| EQ-Bench Creative Writing | — | 860 |
| WildBench | — | 80% |

## FAQ

### Is DeepSeek LLM 67B better than Llama 4 Maverick?

Llama 4 Maverick is the stronger model overall, scoring 30.9 to 24.9 on the Noometry Index.

### Is DeepSeek LLM 67B or Llama 4 Maverick better for coding?

DeepSeek LLM 67B scores higher on coding benchmarks: 31.9 versus 26.6 in the Noometry coding category.

### How many benchmarks do DeepSeek LLM 67B and Llama 4 Maverick share?

14 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Llama 4 Maverick has 54.