Mistral Medium 3.5 vs R1 Distill Llama 70B
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 Mistral Medium 3.5 and R1 Distill Llama 70B.
Mistral Medium 3.5
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...
R1 Distill Llama 70B
DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across...
Technical Specifications
| Specification | Mistral Medium 3.5 | R1 Distill Llama 70B |
|---|---|---|
| Provider | Mistral | DeepSeek |
| Context Window | 262,144 tokens | 128,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-30 | 2025-01-23 |
API Pricing Comparison
Input Price per Million Tokens
Mistral Medium 3.5
$1.50
R1 Distill Llama 70B
$0.80
Output Price per Million Tokens
Mistral Medium 3.5
$7.50
R1 Distill Llama 70B
$0.80
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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.
Mistral Medium 3.5 Quirks & Gotchas
No developer gotchas reported.
R1 Distill Llama 70B Quirks & Gotchas
No developer gotchas reported.