Model Comparison

DeepSeek R1 Distill Llama 8B vs DeepSeek-V3.2-Exp

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Llama 8B outperforms in 0 benchmarks, while DeepSeek-V3.2-Exp is better at 2 benchmarks (GPQA, LiveCodeBench).

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Fri Apr 17 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
Fri Apr 17 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 8B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
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Model Size

Parameter count comparison

677.0B diff

DeepSeek-V3.2-Exp has 677.0B more parameters than DeepSeek R1 Distill Llama 8B, making it 8430.5% larger.

DeepSeek
DeepSeek R1 Distill Llama 8B
8.0Bparameters
DeepSeek
DeepSeek-V3.2-Exp
685.0Bparameters
8.0B
DeepSeek R1 Distill Llama 8B
685.0B
DeepSeek-V3.2-Exp

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.2-Exp specifies input context (163,840 tokens). Only DeepSeek-V3.2-Exp specifies output context (65,536 tokens).

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Fri Apr 17 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-V3.2-Exp

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while DeepSeek-V3.2-Exp was released on 2025-09-29.

DeepSeek-V3.2-Exp is 8 months newer than DeepSeek R1 Distill Llama 8B.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.2 years ago

DeepSeek-V3.2-Exp

Sep 29, 2025

6 months ago

8mo newer

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
DeepSeek
Larger context window (163,840 tokens)
Higher GPQA score (79.9% vs 49.0%)
Higher LiveCodeBench score (74.1% vs 39.6%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 8B
DeepSeek
DeepSeek-V3.2-Exp

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs DeepSeek-V3.2-Exp

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 8B is made by DeepSeek and DeepSeek-V3.2-Exp 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-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%.
DeepSeek R1 Distill Llama 8B supports an unknown number of tokens and DeepSeek-V3.2-Exp supports 164K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.