Model Comparison

DeepSeek R1 Distill Llama 8B vs DeepSeek-V3.1

DeepSeek-V3.1 shows notably better performance in the majority of benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Distill Llama 8B outperforms in 1 benchmarks (AIME 2024), while DeepSeek-V3.1 is better at 2 benchmarks (GPQA, LiveCodeBench).

DeepSeek-V3.1 shows notably better performance in the majority of benchmarks.

Mon Apr 20 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Mon Apr 20 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 8B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

663.0B diff

DeepSeek-V3.1 has 663.0B more parameters than DeepSeek R1 Distill Llama 8B, making it 8256.2% larger.

DeepSeek
DeepSeek R1 Distill Llama 8B
8.0Bparameters
DeepSeek
DeepSeek-V3.1
671.0Bparameters
8.0B
DeepSeek R1 Distill Llama 8B
671.0B
DeepSeek-V3.1

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.1 specifies input context (163,840 tokens). Only DeepSeek-V3.1 specifies output context (163,840 tokens).

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Mon Apr 20 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek R1 Distill Llama 8B

MIT

Open weights

DeepSeek-V3.1

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while DeepSeek-V3.1 was released on 2025-01-10.

DeepSeek R1 Distill Llama 8B is 0 month newer than DeepSeek-V3.1.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.2 years ago

1w newer
DeepSeek-V3.1

Jan 10, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

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Key Takeaways

DeepSeek
Higher AIME 2024 score (80.0% vs 66.3%)
DeepSeek
Larger context window (163,840 tokens)
Higher GPQA score (74.9% vs 49.0%)
Higher LiveCodeBench score (56.4% vs 39.6%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 8B
DeepSeek
DeepSeek-V3.1

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs DeepSeek-V3.1

DeepSeek-V3.1 shows notably better performance in the majority of benchmarks. DeepSeek R1 Distill Llama 8B is made by DeepSeek and DeepSeek-V3.1 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%.
DeepSeek R1 Distill Llama 8B supports an unknown number of tokens and DeepSeek-V3.1 supports 164K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.