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Qwen2.5-Coder 32B Instruct vs Qwen3.8-27B

Comparing Qwen2.5-Coder 32B Instruct and Qwen3.8-27B across benchmarks, pricing, and capabilities.

Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen2.5-Coder 32B Instruct and Qwen3.8-27B 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 Qwen2.5-Coder 32B Instruct

  • you want predictable pricing at $0.09/M input and $0.09/M output

Choose Qwen3.8-27B

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

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.09 / M
— / M
Output price
$0.09 / M
— / M
Context window
128,000
Released
Sep 2024
Aug 2026
License
Apache 2.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Qwen2.5-Coder 32B Instruct and Qwen3.8-27Bdon'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

4.2B diff

Qwen2.5-Coder 32B Instruct has 4.2B more parameters than Qwen3.8-27B, making it 15.2% larger.

Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
32.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
32.0B
Qwen2.5-Coder 32B Instruct
27.8B
Qwen3.8-27B

Context Window

Maximum input and output token capacity

Only Qwen2.5-Coder 32B Instruct specifies input context (128,000 tokens). Only Qwen2.5-Coder 32B Instruct specifies output context (128,000 tokens).

Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-27B
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.8-27B supports multimodal inputs, whereas Qwen2.5-Coder 32B Instruct does not.

Qwen3.8-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen2.5-Coder 32B Instruct

Text
Images
Audio
Video

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5-Coder 32B Instruct was released on 2024-09-19, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 23 months newer than Qwen2.5-Coder 32B Instruct.

Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.9 years ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

1.9yr 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 Qwen2.5-Coder 32B Instruct and Qwen3.8-27B side-by-side, then vote on the output you prefer.

Qwen2.5-Coder 32B Instruct
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about Qwen2.5-Coder 32B Instruct vs Qwen3.8-27B.

Which is better, Qwen2.5-Coder 32B Instruct or Qwen3.8-27B?

Qwen2.5-Coder 32B Instruct (Alibaba Cloud / Qwen Team) and Qwen3.8-27B (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 Qwen2.5-Coder 32B Instruct compare to Qwen3.8-27B in benchmarks?

Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%. Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%.

What are the context window sizes for Qwen2.5-Coder 32B Instruct and Qwen3.8-27B?

Qwen2.5-Coder 32B Instruct supports 128K tokens and Qwen3.8-27B 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 Qwen2.5-Coder 32B Instruct and Qwen3.8-27B?

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