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DeepSeek R1 Distill Qwen 7B vs DeepSeek-V4-Flash-Vision-Exp

Comparing DeepSeek R1 Distill Qwen 7B and DeepSeek-V4-Flash-Vision-Exp across benchmarks, pricing, and capabilities.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 7B and DeepSeek-V4-Flash-Vision-Exp 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 need open weights you can self-host or fine-tune

Choose DeepSeek-V4-Flash-Vision-Exp

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

At a glance

The differences that matter most.

Benchmark wins
Input price
— / M
$0.22 / M
Output price
— / M
$0.66 / M
Context window
1,048,576
Released
Jan 2025
Aug 2026
License
MIT
Unknown

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Qwen 7B and DeepSeek-V4-Flash-Vision-Expdon'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

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Flash-Vision-Exp specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-Vision-Exp specifies output context (393,216 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
DeepSeek
DeepSeek-V4-Flash-Vision-Exp
Input1,048,576 tokens
Output393,216 tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek-V4-Flash-Vision-Exp supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 7B does not.

DeepSeek-V4-Flash-Vision-Exp can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 7B

Text
Images
Audio
Video

DeepSeek-V4-Flash-Vision-Exp

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21.

DeepSeek-V4-Flash-Vision-Exp 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-Vision-Exp

Aug 21, 2026

3 days 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-Flash-Vision-Exp side-by-side, then vote on the output you prefer.

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

FAQ

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

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

DeepSeek R1 Distill Qwen 7B (DeepSeek) and DeepSeek-V4-Flash-Vision-Exp (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-Flash-Vision-Exp 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-Vision-Exp scores Terminal-Bench 2.1: 83.9%, DSBench-Hard: 63.6%, DeepSWE: 59.3%, NL2Repo: 57.7%, ZEROBench: 35.0%.

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

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

Key differences include multimodal support (no vs yes), licensing (MIT vs Unknown). See the full comparison above for benchmark-by-benchmark results.