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DeepSeek-V4-Pro-0813 vs Qwen2.5 32B Instruct

Comparing DeepSeek-V4-Pro-0813 and Qwen2.5 32B Instruct across benchmarks, pricing, and capabilities.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 and Qwen2.5 32B Instruct 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-V4-Pro-0813

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

Choose Qwen2.5 32B Instruct

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

At a glance

The differences that matter most.

DeepSeek-V4-Pro-0813
DeepSeek
Qwen2.5 32B Instruct
Alibaba Cloud / Qwen Team
Benchmark wins
—
—
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
—
Released
Aug 2026
Sep 2024
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Pro-0813 and Qwen2.5 32B Instructdon'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

1567.5B diff

DeepSeek-V4-Pro-0813 has 1567.5B more parameters than Qwen2.5 32B Instruct, making it 4823.1% larger.

DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
32.5Bparameters
1600.0B
DeepSeek-V4-Pro-0813
32.5B
Qwen2.5 32B Instruct

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-V4-Pro-0813
Input1,048,576 tokens
Output393,216 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 is licensed under MIT, while Qwen2.5 32B Instruct uses Apache 2.0.

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

DeepSeek-V4-Pro-0813

MIT

Open weights

Qwen2.5 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Qwen2.5 32B Instruct was released on 2024-09-19.

DeepSeek-V4-Pro-0813 is 23 months newer than Qwen2.5 32B Instruct.

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 weeks ago

1.9yr newer
Qwen2.5 32B 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→

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-0813 and Qwen2.5 32B Instruct side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
Qwen2.5 32B Instruct
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs Qwen2.5 32B Instruct.

Which is better, DeepSeek-V4-Pro-0813 or Qwen2.5 32B Instruct?

DeepSeek-V4-Pro-0813 (DeepSeek) and Qwen2.5 32B 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-Pro-0813 compare to Qwen2.5 32B Instruct in benchmarks?

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%. Qwen2.5 32B Instruct scores GSM8k: 95.9%, HumanEval: 88.4%, HellaSwag: 85.2%, BBH: 84.5%, MBPP: 84.0%.

What are the context window sizes for DeepSeek-V4-Pro-0813 and Qwen2.5 32B Instruct?

DeepSeek-V4-Pro-0813 supports 1.0M tokens and Qwen2.5 32B 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-Pro-0813 and Qwen2.5 32B Instruct?

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

Who makes DeepSeek-V4-Pro-0813 and Qwen2.5 32B Instruct?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and Qwen2.5 32B Instruct is developed by Alibaba Cloud / Qwen Team.

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