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DeepSeek R1 Distill Qwen 7B vs DeepSeek-V4-Flash-0731

DeepSeek-V4-Flash-0731 leads the LLM Stats Score 44.7 to 8.4.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V4-Flash-0731 leads the overall LLM Stats Score 44.7 to 8.4, ranking #35 overall.

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

Choose DeepSeek R1 Distill Qwen 7B

  • you are already invested in the DeepSeek ecosystem

Choose DeepSeek-V4-Flash-0731

  • overall performance matters — it scores 44.7 and ranks #35 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Jul 2026

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 7B
DeepSeek
DeepSeek-V4-Flash-0731
DeepSeek
Core performance indexes
LLM Stats Score
8.4
#278
44.7
#35
Reasoning
8.7
#269
42.3
#45
Coding
2.0
#226
33.0
#36
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.06 / M
Output price
— / M
$0.18 / M
Context window
—
1,048,576

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 7B · 9 for DeepSeek-V4-Flash-0731

No common benchmarks found

DeepSeek R1 Distill Qwen 7B and DeepSeek-V4-Flash-0731don'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

296.4B diff

DeepSeek-V4-Flash-0731 has 296.4B more parameters than DeepSeek R1 Distill Qwen 7B, making it 3889.5% larger.

DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
DeepSeek
DeepSeek-V4-Flash-0731
304.0Bparameters
7.6B
DeepSeek R1 Distill Qwen 7B
304.0B
DeepSeek-V4-Flash-0731

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Flash-0731 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-0731 specifies output context (1,048,576 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output1,048,576 tokens
Sat Sep 12 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-Flash-0731

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while DeepSeek-V4-Flash-0731 was released on 2026-07-31.

DeepSeek-V4-Flash-0731 is 19 months newer than DeepSeek R1 Distill Qwen 7B.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.6 years ago

DeepSeek-V4-Flash-0731

Jul 31, 2026

1 months ago

1.5yr 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-Flash-0731 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 7B
✓ Preferred
DeepSeek-V4-Flash-0731
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs DeepSeek-V4-Flash-0731.

Which is better, DeepSeek R1 Distill Qwen 7B or DeepSeek-V4-Flash-0731?

DeepSeek-V4-Flash-0731 leads the LLM Stats Score 44.7 to 8.4. DeepSeek R1 Distill Qwen 7B is made by DeepSeek and DeepSeek-V4-Flash-0731 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 Qwen 7B compare to DeepSeek-V4-Flash-0731 in benchmarks?

DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. DeepSeek-V4-Flash-0731 scores Terminal-Bench 2.1: 82.7%, CyberGym: 76.7%, Toolathlon: 70.3%, DSBench-FullStack: 68.7%, DSBench-Hard: 59.6%.

What are the context window sizes for DeepSeek R1 Distill Qwen 7B and DeepSeek-V4-Flash-0731?

DeepSeek R1 Distill Qwen 7B supports an unknown number of tokens and DeepSeek-V4-Flash-0731 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 Qwen 7B and DeepSeek-V4-Flash-0731?

Key differences include LLM Stats Score (8.4 vs 44.7). See the full comparison above for benchmark-by-benchmark results.

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