
DeepSeek R1 Distill Llama 70B is a distilled large language model based on Llama-3.3-70B-Instruct, using outputs from DeepSeek R1. The model combines advanced distillation techniques to achieve high performance across multiple benchmarks, including:
The model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.
Modalities
In / Out Price
$0.80 / $0.80per 1M
Context
8K
Released
Jan 23, 2025
Knowledge Cutoff
Jul 2024
This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Token volume and request traffic to this model over time.
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
DeepSeek R1 Distill Llama 70B is a distilled large language model based on Llama-3.3-70B-Instruct, using outputs from DeepSeek R1. The model combines advanced distillation techniques to achieve high performance across multiple benchmarks, including: - AIME 2024 pass@1: 70.0 - MATH-500 pass@1: 94.5 - CodeForces Rating: 1633 The model leverages fine-tuning from DeepSeek R1's outputs, enabling...
R1 Distill Llama 70B costs $0.80/M input tokens and $0.80/M output tokens.
R1 Distill Llama 70B has a 8,192 token context window. It supports up to 8,192 completion tokens.
The R1 Distill Llama 70B endpoint shown on this page does not accept tools, so function calling is unavailable there. It does not support response_format, so JSON output is not enforced.
DeepSeek V4 Pro 0813, DeepSeek V4 Flash 0731, DeepSeek V4 Pro 0423 and 8 more are other text models from DeepSeek.
R1 Distill Llama 70B was released on January 23, 2025. Its knowledge cutoff is July 31, 2024.
| $0.80 | $0.80 | 0.92s | 26 tps |
Throughput
26tok/s
P50, best across providers
Latency
0.92s
P50, best provider
100.00%
99.88%
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.