Model Comparison

Qwen2.5-Coder 7B Instruct vs Qwen3-235B-A22B-Thinking-2507Which is better in 2026?

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.

Verdict: Qwen2.5-Coder 7B Instruct vs Qwen3-235B-A22B-Thinking-2507 — which is better?

Qwen2.5-Coder 7B Instruct (by Alibaba Cloud / Qwen Team) and Qwen3-235B-A22B-Thinking-2507 (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.

Qwen2.5-Coder 7B Instruct outperforms in 0 benchmarks, while Qwen3-235B-A22B-Thinking-2507 is better at 2 benchmarks (MMLU-Pro, MMLU-Redux). Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.

Choose Qwen2.5-Coder 7B Instruct if…

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

Choose Qwen3-235B-A22B-Thinking-2507 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jul 2025

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Qwen2.5-Coder 7B Instruct outperforms in 0 benchmarks, while Qwen3-235B-A22B-Thinking-2507 is better at 2 benchmarks (MMLU-Pro, MMLU-Redux).

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.

Wed Jun 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

228.0B diff

Qwen3-235B-A22B-Thinking-2507 has 228.0B more parameters than Qwen2.5-Coder 7B Instruct, making it 3257.1% larger.

Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
7.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
235.0Bparameters
7.0B
Qwen2.5-Coder 7B Instruct
235.0B
Qwen3-235B-A22B-Thinking-2507

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Thinking-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Thinking-2507 specifies output context (131,072 tokens).

Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 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 7B Instruct

Apache 2.0

Open weights

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5-Coder 7B Instruct was released on 2024-09-19, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Qwen3-235B-A22B-Thinking-2507 is 10 months newer than Qwen2.5-Coder 7B Instruct.

Qwen2.5-Coder 7B Instruct

Sep 19, 2024

1.8 years ago

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

11 months ago

10mo 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

Alibaba Cloud / Qwen Team

Qwen2.5-Coder 7B Instruct

View details

Alibaba Cloud / Qwen Team

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

Larger context window (262,144 tokens)
Higher MMLU-Pro score (84.4% vs 40.1%)
Higher MMLU-Redux score (93.8% vs 66.6%)

Detailed Comparison

FAQ

Common questions about Qwen2.5-Coder 7B Instruct vs Qwen3-235B-A22B-Thinking-2507.

Which is better, Qwen2.5-Coder 7B Instruct or Qwen3-235B-A22B-Thinking-2507?

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Qwen2.5-Coder 7B Instruct is made by Alibaba Cloud / Qwen Team and Qwen3-235B-A22B-Thinking-2507 is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Qwen2.5-Coder 7B Instruct compare to Qwen3-235B-A22B-Thinking-2507 in benchmarks?

Qwen2.5-Coder 7B Instruct scores HumanEval: 88.4%, GSM8k: 83.9%, MBPP: 83.5%, HellaSwag: 76.8%, Winogrande: 72.9%. Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%.

What are the context window sizes for Qwen2.5-Coder 7B Instruct and Qwen3-235B-A22B-Thinking-2507?

Qwen2.5-Coder 7B Instruct supports an unknown number of tokens and Qwen3-235B-A22B-Thinking-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.