Qwen2.5-Coder 32B Instruct vs Qwen3-235B-A22B-Instruct-2507
Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. Qwen2.5-Coder 32B Instruct is 3.5x cheaper per token.
Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2.5-Coder 32B Instruct outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 2 benchmarks (MMLU-Pro, MMLU-Redux). Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.
On price, Qwen2.5-Coder 32B Instruct is roughly 3.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3-235B-A22B-Instruct-2507 also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Qwen2.5-Coder 32B Instruct
- cost matters — it's about 3.5x cheaper per token
Choose Qwen3-235B-A22B-Instruct-2507
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Jul 2025
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Qwen2.5-Coder 32B Instruct outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 2 benchmarks (MMLU-Pro, MMLU-Redux).
Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen2.5-Coder 32B Instruct ($0.09/1M tokens) is 1.7x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.15/1M tokens).
For output processing, Qwen2.5-Coder 32B Instruct ($0.09/1M tokens) is 8.9x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.80/1M tokens).
In conclusion, Qwen3-235B-A22B-Instruct-2507 is more expensive than Qwen2.5-Coder 32B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3-235B-A22B-Instruct-2507 has 203.0B more parameters than Qwen2.5-Coder 32B Instruct, making it 634.4% larger.
Context Window
Maximum input and output token capacity
Qwen3-235B-A22B-Instruct-2507 accepts 262,144 input tokens compared to Qwen2.5-Coder 32B Instruct's 128,000 tokens. Qwen3-235B-A22B-Instruct-2507 can generate longer responses up to 131,072 tokens, while Qwen2.5-Coder 32B Instruct is limited to 128,000 tokens.
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Qwen2.5-Coder 32B Instruct was released on 2024-09-19, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.
Qwen3-235B-A22B-Instruct-2507 is 10 months newer than Qwen2.5-Coder 32B Instruct.
Sep 19, 2024
1.9 years ago
Jul 22, 2025
1.1 years ago
10mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks. Qwen3-235B-A22B-Instruct-2507 is available from Fireworks, Novita.
Qwen2.5-Coder 32B Instruct
Qwen3-235B-A22B-Instruct-2507
Outputs Comparison
Judge for yourself.
Run your own prompts against Qwen2.5-Coder 32B Instruct and Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen2.5-Coder 32B Instruct vs Qwen3-235B-A22B-Instruct-2507.