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DeepSeek R1 Distill Llama 8B vs DeepSeek-V4-Pro-0813

DeepSeek-V4-Pro-0813 leads the LLM Stats Score 50.6 to 7.0.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 leads the overall LLM Stats Score 50.6 to 7.0, ranking #18 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Llama 8B

  • you are already invested in the DeepSeek ecosystem

Choose DeepSeek-V4-Pro-0813

  • overall performance matters — it scores 50.6 and ranks #18 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

DeepSeek R1 Distill Llama 8B
DeepSeek
DeepSeek-V4-Pro-0813
DeepSeek
Core performance indexes
LLM Stats Score
7.0
#306
50.6
#18
Reasoning
7.3
#298
48.5
#19
Coding
2.5
#238
38.7
#19
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$1.30 / M
Output price
— / M
$2.60 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Llama 8B
DeepSeek-V4-Pro-0813
Math
10.8#254
39.0#23
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 8B · 12 for DeepSeek-V4-Pro-0813

No common benchmarks found

DeepSeek R1 Distill Llama 8B and DeepSeek-V4-Pro-0813don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

1592.0B diff

DeepSeek-V4-Pro-0813 has 1592.0B more parameters than DeepSeek R1 Distill Llama 8B, making it 19825.3% larger.

DeepSeek
DeepSeek R1 Distill Llama 8B
8.0Bparameters
DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
8.0B
DeepSeek R1 Distill Llama 8B
1600.0B
DeepSeek-V4-Pro-0813

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (1,048,576 tokens).

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output1,048,576 tokens
Sun Oct 11 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-V4-Pro-0813

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while DeepSeek-V4-Pro-0813 was released on 2026-08-13.

DeepSeek-V4-Pro-0813 is 19 months newer than DeepSeek R1 Distill Llama 8B.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.7 years ago

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 months ago

1.6yr 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

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Llama 8B and DeepSeek-V4-Pro-0813 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 8B
✓ Preferred
DeepSeek-V4-Pro-0813
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs DeepSeek-V4-Pro-0813.

Which is better, DeepSeek R1 Distill Llama 8B or DeepSeek-V4-Pro-0813?

DeepSeek-V4-Pro-0813 leads the LLM Stats Score 50.6 to 7.0. DeepSeek R1 Distill Llama 8B is made by DeepSeek and DeepSeek-V4-Pro-0813 is made by DeepSeek. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Llama 8B compare to DeepSeek-V4-Pro-0813 in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%.

What are the context window sizes for DeepSeek R1 Distill Llama 8B and DeepSeek-V4-Pro-0813?

DeepSeek R1 Distill Llama 8B supports an unknown number of tokens and DeepSeek-V4-Pro-0813 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Distill Llama 8B and DeepSeek-V4-Pro-0813?

Key differences include LLM Stats Score (7.0 vs 50.6). See the full comparison above for benchmark-by-benchmark results.

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