Open-weight LLM comparison
Command R+ vs Llama 3.1 405B
Side-by-side
Straight from each model's release page and Hugging Face card. Memory shown is for the weights alone: add roughly 15% for real serving. Bold column marks the more parameters and the smaller memory footprint.
| Field | Command R+ | Llama 3.1 405B |
|---|---|---|
| Total parameters | 104 B | 405 B |
| Architecture | dense | dense |
| Vendor | Cohere | Meta |
| License | CC-BY-NC-4.0 (non-commercial) | Llama 3.1 Community License |
| Released | 2024-04-04 | 2024-07-23 |
| Weights @ FP16 | 208 GB | 810 GB |
| Weights @ INT8 | 104 GB | 405 GB |
| Weights @ INT4 | 52 GB | 203 GB |
Which is smarter (published benchmarks)
Vendor-reported quality scores on the standard leaderboards. Bold column marks the higher score on the same test.
| Benchmark | Command R+ | Llama 3.1 405B |
|---|---|---|
| MMLU (5-shot) | 75.7 | 88.6 |
| HumanEval | 70.7 | 89.0 |
| MATH (0-shot) | not published | 73.8 |
| GPQA | not published | 51.1 |
Sources: Command R+ model card · Llama 3.1 405B model card. Benchmark methodology and prompt template can shift these numbers by several points, so treat these as relative rankings, not absolute scores.
Common questions
Command R+ vs Llama 3.1 405B: which is bigger?
Llama 3.1 405B has more parameters (Command R+: 104 B; Llama 3.1 405B: 405 B). More parameters usually means higher ceiling on capability and higher memory requirement, though MoE architectures decouple total parameters from per-token compute.
Command R+ vs Llama 3.1 405B: which is newer?
Llama 3.1 405B released 2024-07-23; Command R+ released 2024-04-04.
Command R+ vs Llama 3.1 405B: which needs less memory to serve?
Command R+ needs less HBM. Weights-only footprint at FP16: Command R+ 208 GB; Llama 3.1 405B 810 GB. Half those numbers at INT8, quarter at INT4. Real serving adds 10-30% for KV cache.
Command R+ vs Llama 3.1 405B: which license is more permissive?
Command R+: CC-BY-NC-4.0 (non-commercial). Llama 3.1 405B: Llama 3.1 Community License. Apache 2.0 and MIT allow unrestricted commercial use; Llama Community License allows commercial use but restricts training larger models on outputs; CC-BY-NC and vendor-specific licenses (Qwen 72B, Gemma) have narrower terms. Check the model card for the exact clauses.
See also: every LLM comparison · Command R+ full page · Llama 3.1 405B full page.