Model Comparison

Qwen2.5-Coder 7B Instruct vs Qwen3-Next-80B-A3B-Thinking

Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Qwen2.5-Coder 7B Instruct outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Thinking is better at 2 benchmarks (MMLU-Pro, MMLU-Redux).

Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks.

Fri May 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

73.0B diff

Qwen3-Next-80B-A3B-Thinking has 73.0B more parameters than Qwen2.5-Coder 7B Instruct, making it 1042.9% larger.

Qwen2.5-Coder 7B Instruct

7.0Bparameters

Qwen3-Next-80B-A3B-Thinking

80.0Bparameters

7.0B

Qwen2.5-Coder 7B Instruct

80.0B

Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

Only Qwen3-Next-80B-A3B-Thinking specifies input context (65,536 tokens). Only Qwen3-Next-80B-A3B-Thinking specifies output context (65,536 tokens).

Qwen2.5-Coder 7B Instruct

Input- tokens

Output- tokens

Qwen3-Next-80B-A3B-Thinking

Input65,536 tokens

Output65,536 tokens

Fri May 15 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-Next-80B-A3B-Thinking

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-Next-80B-A3B-Thinking was released on 2025-09-10.

Qwen3-Next-80B-A3B-Thinking is 12 months newer than Qwen2.5-Coder 7B Instruct.

Qwen2.5-Coder 7B Instruct

Sep 19, 2024

1.7 years ago

Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

8 months ago

11mo 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

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Key Takeaways

Qwen2.5-Coder 7B Instruct

View details

Alibaba Cloud / Qwen Team

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

Qwen3-Next-80B-A3B-Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (65,536 tokens)

Higher MMLU-Pro score (82.7% vs 40.1%)

Higher MMLU-Redux score (92.5% vs 66.6%)

Detailed Comparison

AI Model Comparison Table
Feature	Qwen2.5-Coder 7B Instruct	Qwen3-Next-80B-A3B-Thinking

FAQ

Common questions about Qwen2.5-Coder 7B Instruct vs Qwen3-Next-80B-A3B-Thinking.

Which is better, Qwen2.5-Coder 7B Instruct or Qwen3-Next-80B-A3B-Thinking?

Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks. Qwen2.5-Coder 7B Instruct is made by Alibaba Cloud / Qwen Team and Qwen3-Next-80B-A3B-Thinking 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-Next-80B-A3B-Thinking in benchmarks?

Qwen2.5-Coder 7B Instruct scores HumanEval: 88.4%, GSM8k: 83.9%, MBPP: 83.5%, HellaSwag: 76.8%, Winogrande: 72.9%. Qwen3-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

What are the context window sizes for Qwen2.5-Coder 7B Instruct and Qwen3-Next-80B-A3B-Thinking?

Qwen2.5-Coder 7B Instruct supports an unknown number of tokens and Qwen3-Next-80B-A3B-Thinking supports 66K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.