Command R (08-2024) vs Llama 3.3 70B Instruct
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Command R (08-2024) and Llama 3.3 70B Instruct.
Command R (08-2024)
command-r-08-2024 is an update of the [Command R](/models/cohere/command-r) with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and...
Llama 3.3 70B Instruct
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
Technical Specifications
| Specification | Command R (08-2024) | Llama 3.3 70B Instruct |
|---|---|---|
| Provider | Cohere | Meta |
| Context Window | 128,000 tokens | 131,072 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-08-30 | 2024-12-06 |
API Pricing Comparison
Input Price per Million Tokens
Command R (08-2024)
$0.15
Llama 3.3 70B Instruct
$0.10
Output Price per Million Tokens
Command R (08-2024)
$0.60
Llama 3.3 70B Instruct
$0.32
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Command R (08-2024) Quirks & Gotchas
No developer gotchas reported.
Llama 3.3 70B Instruct Quirks & Gotchas
No developer gotchas reported.