DeepSeek model product
DeepSeek-R1-Distill-Llama
DeepSeek-R1-Distill-Llama is a large language model from DeepSeek.
Updated Oct 23, 2026. Default version: DeepSeek R1 Distill Llama 8B
LLMBoard Score10.1DeepSeek R1 Distill Llama 8B
Coverage20%4 benchmark families
Context windowN/ATokens
Official input priceN/AOfficial price unavailable
DeepSeek-R1-Distill-Llama Capability Profile
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
DeepSeek-R1-Distill-Llama Benchmark Results
Benchmark scores for DeepSeek R1 Distill Llama 8B.
Sort by
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkAIME 2024 | Score80.00% | Rank29 | Participants54 | Percentile47.17% | EvidenceC | Evaluated |
| BenchmarkMATH-500 | Score89.10% | Rank30 | Participants33 | Percentile9.38% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench | Score39.60% | Rank53 | Participants76 | Percentile30.67% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score49.00% | Rank203 | Participants256 | Percentile20.78% | EvidenceC | Evaluated |
DeepSeek-R1-Distill-Llama Arena Results
Preference and agent-evaluation results for the default version.
No Arena results
The default version does not have a matching Arena result yet.
DeepSeek-R1-Distill-Llama Pricing
Official vendor API pricing appears first, followed by individual provider offers.
- Official API
- N/A
- Official provider
- N/A
- Lowest third-party
- N/A
- Tracked offerings
- 1
Sort by
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderAlibaba (China) | Provider model IDdeepseek-r1-distill-llama-8b | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context32.8K | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
DeepSeek-R1-Distill-Llama Runtime Performance
Provider-specific output speed and catalog latency for DeepSeek R1 Distill Llama 8B. Runtime does not affect the capability score.
No runtime data
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
DeepSeek-R1-Distill-Llama Specifications
Technical details for the model's default version.
- Version
- DeepSeek R1 Distill Llama 8B
- Released
- Jan 20, 2025
- Knowledge cutoff
- Unknown
- Parameters
- 8B
- Context window
- N/A
- Max output
- N/A
- Inputs
- text
- Outputs
- text
- Open weights
- Yes
- License
- MIT
DeepSeek-R1-Distill-Llama Versions
Available versions of this model. The score column identifies the version used in the overall ranking.
Sort by
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionDeepSeek R1 Distill Llama 70B | Released | LLMBoardN/A | Parameters70.6B | Context128K | Max output128K | Open weightsYes | LicenseMIT |
| VersionDeepSeek R1 Distill Llama 8B | Released | LLMBoard10.13 | Parameters8B | ContextN/A | Max outputN/A | Open weightsYes | LicenseMIT |
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What is DeepSeek-R1-Distill-Llama?
Key information about DeepSeek-R1-Distill-Llama and its available data.
DeepSeek-R1-Distill-Llama is an LLM from DeepSeek. The provided description identifies DeepSeek-R1 as a first-generation reasoning model built atop DeepSeek-V3, with reinforcement learning used to enhance chain-of-thought and reasoning capabilities.
Data as of 2026-10-22.
FAQ
Common questions about DeepSeek-R1-Distill-Llama.
When was DeepSeek-R1-Distill-Llama released?
DeepSeek-R1-Distill-Llama's default version was released on Jan 20, 2025.
How much does DeepSeek-R1-Distill-Llama cost?
No official standard PAYG price is currently available for DeepSeek-R1-Distill-Llama.
Who created DeepSeek-R1-Distill-Llama?
DeepSeek-R1-Distill-Llama was created by DeepSeek.
What is the context window for DeepSeek-R1-Distill-Llama?
A context window is not available for the default version.
Is DeepSeek-R1-Distill-Llama open weight?
Yes. The default version is marked as open weight under MIT.