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DeepSeek R1 Distill Qwen 7B vs DeepSeek-V4-Pro-0813

Comparing DeepSeek R1 Distill Qwen 7B and DeepSeek-V4-Pro-0813 across benchmarks, pricing, and capabilities.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 7B and DeepSeek-V4-Pro-0813 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Qwen 7B

  • you are already invested in the DeepSeek ecosystem

Choose DeepSeek-V4-Pro-0813

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 7B
DeepSeek
DeepSeek-V4-Pro-0813
DeepSeek
Benchmark wins
—
—
Input price
— / M
$0.43 / M
Output price
— / M
$0.87 / M
Context window
—
1,048,576
Released
Jan 2025
Aug 2026
License
MIT
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Qwen 7B and DeepSeek-V4-Pro-0813don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

1592.4B diff

DeepSeek-V4-Pro-0813 has 1592.4B more parameters than DeepSeek R1 Distill Qwen 7B, making it 20897.4% larger.

DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
7.6B
DeepSeek R1 Distill Qwen 7B
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 (393,216 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output393,216 tokens
Mon Aug 24 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 Qwen 7B

MIT

Open weights

DeepSeek-V4-Pro-0813

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B 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 Qwen 7B.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.6 years ago

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 weeks 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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 7B and DeepSeek-V4-Pro-0813 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 7B
✓ Preferred
DeepSeek-V4-Pro-0813
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs DeepSeek-V4-Pro-0813.

Which is better, DeepSeek R1 Distill Qwen 7B or DeepSeek-V4-Pro-0813?

DeepSeek R1 Distill Qwen 7B (DeepSeek) and DeepSeek-V4-Pro-0813 (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek R1 Distill Qwen 7B compare to DeepSeek-V4-Pro-0813 in benchmarks?

DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. 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 Qwen 7B and DeepSeek-V4-Pro-0813?

DeepSeek R1 Distill Qwen 7B 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.

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