DeepSeek
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...
Running this yourself: likely needs a high-memory cloud gpu.
OpenRouter
Price record: 2026-09-28. Source: openrouter.
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23.4
Quality Score
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Arena ELO
70B
Parameters
8K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
13 of 22 public signals
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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Jan 2025
Released
3/5 signals
3/4 signals
4/5 signals
1/4 signals
2/4 signals
Gaps we are still tracking
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
DeepSeek R1 Distill Llama 70B Benchmark Update
Quality: 7.9/100 | Price: $0.8/M tokens | Output: 0 tok/s | MMLU: 0.795% | HumanEval: 0.266%
View sourcedeepseek-r1-distill-llama-70b — LiveBench Scores
language: 0.3 | coding: 0.3 | instruction_following: 1.0 | Overall: 0.6
View sourceDeepSeek R1 Distill Llama 70B Benchmark Update
Quality: 7.9/100 | Price: $0.8/M tokens | Output: 0 tok/s | MMLU: 0.795% | HumanEval: 0.266%
View sourcedeepseek-r1-distill-llama-70b — LiveBench Scores
language: 0.3 | coding: 0.3 | instruction_following: 1.0 | Overall: 0.6
View sourceDeepSeek R1 Distill Llama 70B Benchmark Update
Quality: 7.9/100 | Price: $0.8/M tokens | Output: 0 tok/s | MMLU: 0.795% | HumanEval: 0.266%
View sourcedeepseek-r1-distill-llama-70b — LiveBench Scores
language: 0.3 | coding: 0.3 | instruction_following: 1.0 | Overall: 0.6
View source