Model Comparison
Qwen3-235B-A22B-Instruct-2507 vs Qwen3 30B A3BWhich is better in 2026?
Qwen3-235B-A22B-Instruct-2507 shows notably better performance in the majority of benchmarks. Qwen3 30B A3B is 2.1x cheaper per token.
Verdict: Qwen3-235B-A22B-Instruct-2507 vs Qwen3 30B A3B — which is better?
Qwen3-235B-A22B-Instruct-2507 (by Alibaba Cloud / Qwen Team) and Qwen3 30B A3B (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.
Qwen3-235B-A22B-Instruct-2507 outperforms in 2 benchmarks (GPQA, Multi-IF), while Qwen3 30B A3B is better at 1 benchmark (AIME 2025). Qwen3-235B-A22B-Instruct-2507 shows notably better performance in the majority of benchmarks.
On price, Qwen3 30B A3B is roughly 2.1x 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.
Choose Qwen3-235B-A22B-Instruct-2507 if…
- you want the strongest raw capability — it leads on 2 of 3 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
Choose Qwen3 30B A3B if…
- cost matters — it's about 2.1x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3-235B-A22B-Instruct-2507 outperforms in 2 benchmarks (GPQA, Multi-IF), while Qwen3 30B A3B is better at 1 benchmark (AIME 2025).
Qwen3-235B-A22B-Instruct-2507 shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3-235B-A22B-Instruct-2507 ($0.15/1M tokens) is 1.5x more expensive than Qwen3 30B A3B ($0.10/1M tokens).
For output processing, Qwen3-235B-A22B-Instruct-2507 ($0.80/1M tokens) is 2.7x more expensive than Qwen3 30B A3B ($0.30/1M tokens).
In conclusion, Qwen3-235B-A22B-Instruct-2507 is more expensive than Qwen3 30B A3B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3-235B-A22B-Instruct-2507 has 204.5B more parameters than Qwen3 30B A3B, making it 670.5% larger.
Context Window
Maximum input and output token capacity
Qwen3-235B-A22B-Instruct-2507 accepts 262,144 input tokens compared to Qwen3 30B A3B's 128,000 tokens. Qwen3-235B-A22B-Instruct-2507 can generate longer responses up to 131,072 tokens, while Qwen3 30B A3B 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
Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22, while Qwen3 30B A3B was released on 2025-04-29.
Qwen3-235B-A22B-Instruct-2507 is 3 months newer than Qwen3 30B A3B.
Jul 22, 2025
1.0 years ago
2mo newerApr 29, 2025
1.3 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 30B A3B is available from DeepInfra, Novita, Fireworks.
Qwen3-235B-A22B-Instruct-2507
Qwen3 30B A3B
Outputs Comparison
Key Takeaways
Qwen3-235B-A22B-Instruct-2507
View detailsAlibaba Cloud / Qwen Team
Qwen3 30B A3B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Qwen3-235B-A22B-Instruct-2507 and Qwen3 30B A3B side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Qwen3-235B-A22B-Instruct-2507 vs Qwen3 30B A3B.
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