Model Comparison

Qwen3-235B-A22B-Thinking-2507 vs o3-mini

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Qwen3-235B-A22B-Thinking-2507 is 2.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Qwen3-235B-A22B-Thinking-2507 outperforms in 4 benchmarks (GPQA, Multi-IF, TAU-bench Airline, TAU-bench Retail), while o3-mini is better at 1 benchmark (IFEval).

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.

Thu Apr 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3-235B-A22B-Thinking-2507 costs less

For input processing, Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens) is 3.7x cheaper than o3-mini ($1.10/1M tokens).

For output processing, Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens) is 1.5x cheaper than o3-mini ($4.40/1M tokens).

In conclusion, o3-mini is more expensive than Qwen3-235B-A22B-Thinking-2507.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Apr 02 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input tokens$0.30
Output tokens$3.00
Best providerFireworks
OpenAI
o3-mini
Input tokens$1.10
Output tokens$4.40
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Thinking-2507 accepts 262,144 input tokens compared to o3-mini's 200,000 tokens. Qwen3-235B-A22B-Thinking-2507 can generate longer responses up to 131,072 tokens, while o3-mini is limited to 100,000 tokens.

Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 tokens
OpenAI
o3-mini
Input200,000 tokens
Output100,000 tokens
Thu Apr 02 2026 • llm-stats.com

License

Usage and distribution terms

Qwen3-235B-A22B-Thinking-2507 is licensed under Apache 2.0, while o3-mini uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

o3-mini

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25, while o3-mini was released on 2025-01-30.

Qwen3-235B-A22B-Thinking-2507 is 6 months newer than o3-mini.

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

8 months ago

5mo newer
o3-mini

Jan 30, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

o3-mini has a documented knowledge cutoff of 2023-09-30, while Qwen3-235B-A22B-Thinking-2507's cutoff date is not specified.

We can confirm o3-mini's training data extends to 2023-09-30, but cannot make a direct comparison without Qwen3-235B-A22B-Thinking-2507's cutoff date.

Qwen3-235B-A22B-Thinking-2507

—

o3-mini

Sep 2023

Provider Availability

Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita. o3-mini is available from Azure, OpenAI.

Qwen3-235B-A22B-Thinking-2507

fireworks logo
Fireworks
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M

o3-mini

azure logo
Azure
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
openai logo
OpenAI
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (81.1% vs 77.2%)
Higher Multi-IF score (80.6% vs 79.5%)
Higher TAU-bench Airline score (46.0% vs 32.4%)
Higher TAU-bench Retail score (67.8% vs 57.6%)
OpenAI
Higher IFEval score (93.9% vs 87.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
OpenAI
o3-mini

FAQ

Common questions about Qwen3-235B-A22B-Thinking-2507 vs o3-mini

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Qwen3-235B-A22B-Thinking-2507 is made by Alibaba Cloud / Qwen Team and o3-mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%. o3-mini scores COLLIE: 98.7%, MATH: 97.9%, IFEval: 93.9%, MGSM: 92.0%, AIME 2024: 87.3%.
Qwen3-235B-A22B-Thinking-2507 is 3.7x cheaper for input tokens. Qwen3-235B-A22B-Thinking-2507 costs $0.30/M input and $3.00/M output via fireworks. o3-mini costs $1.10/M input and $4.40/M output via azure.
Qwen3-235B-A22B-Thinking-2507 supports 262K tokens and o3-mini supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (262K vs 200K), input pricing ($0.30 vs $1.10/M), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team and o3-mini is developed by OpenAI.