Llama 4 Maverick vs R1
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 Llama 4 Maverick and R1.
Llama 4 Maverick
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
R1
DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....
Technical Specifications
| Specification | Llama 4 Maverick | R1 |
|---|---|---|
| Provider | Meta | DeepSeek |
| Context Window | 1,048,576 tokens | 163,840 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | beta | stable |
| API Available | Yes | Yes |
| Released Date | 2025-04-05 | 2025-01-20 |
API Pricing Comparison
Input Price per Million Tokens
Llama 4 Maverick
$0.15
R1
$0.70
Output Price per Million Tokens
Llama 4 Maverick
$0.60
R1
$2.50
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Llama 4 Maverick Quirks & Gotchas
No developer gotchas reported.
R1 Quirks & Gotchas
No developer gotchas reported.