Qwen3-235B-A22B-Instruct-2507 vs Qwen3-Coder
Comparing Qwen3-235B-A22B-Instruct-2507 and Qwen3-Coder across benchmarks, pricing, and capabilities.
Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3-235B-A22B-Instruct-2507 and Qwen3-Coder trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Qwen3-Coder is roughly 1.7x 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 Qwen3-235B-A22B-Instruct-2507
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Jul 2025
Choose Qwen3-Coder
- cost matters — it's about 1.7x cheaper per token
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3-235B-A22B-Instruct-2507 and Qwen3-Coderdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3-235B-A22B-Instruct-2507 ($0.15/1M tokens) is 1.2x cheaper than Qwen3-Coder ($0.18/1M tokens).
For output processing, Qwen3-235B-A22B-Instruct-2507 ($0.80/1M tokens) is 4.4x more expensive than Qwen3-Coder ($0.18/1M tokens).
In conclusion, Qwen3-235B-A22B-Instruct-2507 is more expensive than Qwen3-Coder.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3-Coder has 245.0B more parameters than Qwen3-235B-A22B-Instruct-2507, making it 104.3% larger.
Context Window
Maximum input and output token capacity
Qwen3-235B-A22B-Instruct-2507 accepts 262,144 input tokens compared to Qwen3-Coder's 256,000 tokens. Qwen3-Coder can generate longer responses up to 256,000 tokens, while Qwen3-235B-A22B-Instruct-2507 is limited to 131,072 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
Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22, while Qwen3-Coder was released on 2025-01-01.
Qwen3-235B-A22B-Instruct-2507 is 7 months newer than Qwen3-Coder.
Jul 22, 2025
1.1 years ago
6mo newerJan 1, 2025
1.6 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Qwen3-235B-A22B-Instruct-2507 is available from Fireworks, Novita. Qwen3-Coder is available from DeepInfra, Fireworks.
Qwen3-235B-A22B-Instruct-2507
Qwen3-Coder
Outputs Comparison
Judge for yourself.
Run your own prompts against Qwen3-235B-A22B-Instruct-2507 and Qwen3-Coder side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen3-235B-A22B-Instruct-2507 vs Qwen3-Coder.