Model Comparison

DeepSeek-V4-Flash-0731 vs Qwen2.5 14B InstructWhich is better in 2026?

Comparing DeepSeek-V4-Flash-0731 and Qwen2.5 14B Instruct across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-V4-Flash-0731 vs Qwen2.5 14B Instruct — which is better?

DeepSeek-V4-Flash-0731 (by DeepSeek) and Qwen2.5 14B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose DeepSeek-V4-Flash-0731 if…

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

Choose Qwen2.5 14B Instruct if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Flash-0731 and Qwen2.5 14B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

289.3B diff

DeepSeek-V4-Flash-0731 has 289.3B more parameters than Qwen2.5 14B Instruct, making it 1968.0% larger.

DeepSeek
DeepSeek-V4-Flash-0731
304.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
304.0B
DeepSeek-V4-Flash-0731
14.7B
Qwen2.5 14B Instruct

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 (65,536 tokens).

DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input- tokens
Output- tokens
Mon Aug 03 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V4-Flash-0731 is licensed under MIT, while Qwen2.5 14B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V4-Flash-0731

MIT

Open weights

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Qwen2.5 14B Instruct was released on 2024-09-19.

DeepSeek-V4-Flash-0731 is 23 months newer than Qwen2.5 14B Instruct.

DeepSeek-V4-Flash-0731

Jul 31, 2026

3 days ago

1.9yr newer
Qwen2.5 14B Instruct

Sep 19, 2024

1.9 years ago

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

Key Takeaways

Larger context window (1,048,576 tokens)
Alibaba Cloud / Qwen Team

Qwen2.5 14B Instruct

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-0731 and Qwen2.5 14B Instruct side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0731
✓ Preferred
Qwen2.5 14B Instruct
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V4-Flash-0731
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct

FAQ

Common questions about DeepSeek-V4-Flash-0731 vs Qwen2.5 14B Instruct.

Which is better, DeepSeek-V4-Flash-0731 or Qwen2.5 14B Instruct?

DeepSeek-V4-Flash-0731 (DeepSeek) and Qwen2.5 14B Instruct (Alibaba Cloud / Qwen Team) 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-V4-Flash-0731 compare to Qwen2.5 14B Instruct in benchmarks?

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%. Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%.

What are the context window sizes for DeepSeek-V4-Flash-0731 and Qwen2.5 14B Instruct?

DeepSeek-V4-Flash-0731 supports 1.0M tokens and Qwen2.5 14B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4-Flash-0731 and Qwen2.5 14B Instruct?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-0731 and Qwen2.5 14B Instruct?

DeepSeek-V4-Flash-0731 is developed by DeepSeek and Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team.