Qwen2.5-Coder 32B Instruct vs Qwen3 32B
Qwen3 32B leads the LLM Stats Score 18.9 to 2.7. Qwen2.5-Coder 32B Instruct is 1.7x cheaper per token.
Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3 32B leads the overall LLM Stats Score 18.9 to 2.7, ranking #191 overall.
In the 1 individual benchmarks reported for both models, Qwen3 32B wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen2.5-Coder 32B Instruct is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Qwen2.5-Coder 32B Instruct
- cost matters — it's about 1.7x cheaper per token
Choose Qwen3 32B
- overall performance matters — it scores 18.9 and ranks #191 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Apr 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for Qwen2.5-Coder 32B Instruct · 9 for Qwen3 32B
Qwen2.5-Coder 32B Instruct outperforms in 0 benchmarks, while Qwen3 32B is better at 1 benchmark (LiveCodeBench).
Qwen3 32B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen2.5-Coder 32B Instruct ($0.09/1M tokens) is 1.1x cheaper than Qwen3 32B ($0.10/1M tokens).
For output processing, Qwen2.5-Coder 32B Instruct ($0.09/1M tokens) is 3.3x cheaper than Qwen3 32B ($0.30/1M tokens).
In conclusion, Qwen3 32B 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 32B has 0.8B more parameters than Qwen2.5-Coder 32B Instruct, making it 2.5% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Both models can generate responses up 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 32B was released on 2025-04-29.
Qwen3 32B is 7 months newer than Qwen2.5-Coder 32B Instruct.
Sep 19, 2024
1.9 years ago
Apr 29, 2025
1.3 years ago
7mo 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 32B is available from DeepInfra, Novita, Sambanova.
Qwen2.5-Coder 32B Instruct
Qwen3 32B
Outputs Comparison
Judge for yourself.
Run your own prompts against Qwen2.5-Coder 32B Instruct and Qwen3 32B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen2.5-Coder 32B Instruct vs Qwen3 32B.