Model comparison
DeepSeek LLM 67B vs Llama 3.2 90B
Llama 3.2 90B is the stronger model overall, scoring 27.5 to 24.9 on the Noometry Index.
Last verified . 4 shared benchmarks.
DeepSeek
MetaSummary
- They share 4 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Llama 3.2 90B in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 3.2 90B leads 21.7 to 7.0.
- The biggest single-benchmark swing is MATH Level 5: 6.4% for DeepSeek LLM 67B and 39.4% for Llama 3.2 90B.
Side by side
| DeepSeek LLM 67B | Llama 3.2 90B | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 24.9 | 27.5 |
| Released | 2023-11-29 | 2024-09-24 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 15 | 9 |
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Category by category
Coding Not comparable
DeepSeek LLM 67B: 31.9 (#278), Llama 3.2 90B: —
| Benchmark | DeepSeek LLM 67B | Llama 3.2 90B |
|---|---|---|
| LMArena Coding | 1096 | — |
Agentic & Tool Use Not comparable
DeepSeek LLM 67B: —, Llama 3.2 90B: 30.0 (#80)
| Benchmark | DeepSeek LLM 67B | Llama 3.2 90B |
|---|---|---|
| BALROG | — | 27.3% |
Reasoning Llama 3.2 90B leads
DeepSeek LLM 67B: 16.5 (#304), Llama 3.2 90B: 21.7 (#217)
| Benchmark | DeepSeek LLM 67B | Llama 3.2 90B |
|---|---|---|
| Epoch Capabilities Index | 110.5 | 125.5 |
| Chess Puzzles | 0% | — |
| EnigmaEval | — | 0.4% |
| LMArena Hard Prompts | 1070 | — |
Math Llama 3.2 90B leads
DeepSeek LLM 67B: 8.7 (#324), Llama 3.2 90B: 11.1 (#308)
| Benchmark | DeepSeek LLM 67B | Llama 3.2 90B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 2.6% |
| MATH Level 5 | 6.4% | 39.4% |
| LMArena Math | 1108 | — |
Knowledge Llama 3.2 90B leads
DeepSeek LLM 67B: 7.0 (#313), Llama 3.2 90B: 21.7 (#274)
| Benchmark | DeepSeek LLM 67B | Llama 3.2 90B |
|---|---|---|
| GPQA Diamond | 24.6% | 41% |
| MMLU | — | 80.3% |
Multimodal Not comparable
DeepSeek LLM 67B: —, Llama 3.2 90B: 25.4 (#124)
| Benchmark | DeepSeek LLM 67B | Llama 3.2 90B |
|---|---|---|
| LMArena Vision | — | 1000 |
| GeoBench | — | 52% |
Multilingual Not comparable
DeepSeek LLM 67B: 29.4 (#267), Llama 3.2 90B: —
| Benchmark | DeepSeek LLM 67B | Llama 3.2 90B |
|---|---|---|
| LMArena Non-English | 1073 | — |
| LMArena Chinese | 1132 | — |
Instruction Following Not comparable
DeepSeek LLM 67B: 55.4 (#277), Llama 3.2 90B: —
| Benchmark | DeepSeek LLM 67B | Llama 3.2 90B |
|---|---|---|
| LMArena Instruction Following | 1079 | — |
Long Context Not comparable
DeepSeek LLM 67B: 33.1 (#265), Llama 3.2 90B: —
| Benchmark | DeepSeek LLM 67B | Llama 3.2 90B |
|---|---|---|
| LMArena Longer Query | 1092 | — |
Writing & Preference Not comparable
DeepSeek LLM 67B: 31.6 (#282), Llama 3.2 90B: —
| Benchmark | DeepSeek LLM 67B | Llama 3.2 90B |
|---|---|---|
| LMArena Text | 1105 | — |
| LMArena Creative Writing | 1067 | — |
| LMArena Multi-Turn | 1082 | — |
Frequently asked questions
Is DeepSeek LLM 67B better than Llama 3.2 90B?
Llama 3.2 90B is the stronger model overall, scoring 27.5 to 24.9 on the Noometry Index.
How many benchmarks do DeepSeek LLM 67B and Llama 3.2 90B share?
4 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Llama 3.2 90B has 9.