Model Comparison

Qwen2.5-Coder 32B Instruct vs Qwen3-Coder 480B A35B InstructWhich is better in 2026?

Comparing Qwen2.5-Coder 32B Instruct and Qwen3-Coder 480B A35B Instruct across benchmarks, pricing, and capabilities.

Verdict: Qwen2.5-Coder 32B Instruct vs Qwen3-Coder 480B A35B Instruct — which is better?

Qwen2.5-Coder 32B Instruct (by Alibaba Cloud / Qwen Team) and Qwen3-Coder 480B A35B 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 Qwen2.5-Coder 32B Instruct if…

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

Choose Qwen3-Coder 480B A35B Instruct if…

  • you want the most recent training data — it shipped Jan 2025

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Qwen2.5-Coder 32B Instruct and Qwen3-Coder 480B A35B 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

448.0B diff

Qwen3-Coder 480B A35B Instruct has 448.0B more parameters than Qwen2.5-Coder 32B Instruct, making it 1400.0% larger.

Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
32.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct
480.0Bparameters
32.0B
Qwen2.5-Coder 32B Instruct
480.0B
Qwen3-Coder 480B A35B Instruct

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-Coder 480B A35B Instruct
Input- tokens
Output- tokens
Wed Jun 24 2026 • llm-stats.com

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-Coder 480B A35B Instruct

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-Coder 480B A35B Instruct was released on 2025-01-31.

Qwen3-Coder 480B A35B Instruct is 4 months newer than Qwen2.5-Coder 32B Instruct.

Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.8 years ago

Qwen3-Coder 480B A35B Instruct

Jan 31, 2025

1.4 years ago

4mo 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

Key Takeaways

Larger context window (128,000 tokens)

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

Detailed Comparison

FAQ

Common questions about Qwen2.5-Coder 32B Instruct vs Qwen3-Coder 480B A35B Instruct.

Which is better, Qwen2.5-Coder 32B Instruct or Qwen3-Coder 480B A35B Instruct?

Qwen2.5-Coder 32B Instruct (Alibaba Cloud / Qwen Team) and Qwen3-Coder 480B A35B 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 Qwen2.5-Coder 32B Instruct compare to Qwen3-Coder 480B A35B Instruct in benchmarks?

Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%. Qwen3-Coder 480B A35B Instruct scores TAU-bench Retail: 77.5%, SWE-Bench Verified: 69.6%, BFCL-v3: 68.7%, Aider-Polyglot: 61.8%, TAU-bench Airline: 60.0%.

What are the context window sizes for Qwen2.5-Coder 32B Instruct and Qwen3-Coder 480B A35B Instruct?

Qwen2.5-Coder 32B Instruct supports 128K tokens and Qwen3-Coder 480B A35B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.