Model Comparison

GPT-4.5 vs Qwen3-235B-A22B-Thinking-2507

GPT-4.5 has a slight edge in benchmark performance. Qwen3-235B-A22B-Thinking-2507 is 96.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

GPT-4.5 outperforms in 3 benchmarks (IFEval, TAU-bench Airline, TAU-bench Retail), while Qwen3-235B-A22B-Thinking-2507 is better at 2 benchmarks (GPQA, Multi-IF).

GPT-4.5 has a slight edge in benchmark performance.

Mon May 25 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, GPT-4.5 ($75.00/1M tokens) is 250.0x more expensive than Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).

For output processing, GPT-4.5 ($150.00/1M tokens) is 50.0x more expensive than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).

In conclusion, GPT-4.5 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

Mon May 25 2026 • llm-stats.com

GPT-4.5

Input tokens$75.00

Output tokens$150.00

Best providerOpenAI

Qwen3-235B-A22B-Thinking-2507

Input tokens$0.30

Output tokens$3.00

Best providerFireworks

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 GPT-4.5's 128,000 tokens. Qwen3-235B-A22B-Thinking-2507 can generate longer responses up to 131,072 tokens, while GPT-4.5 is limited to 4,096 tokens.

GPT-4.5

Input128,000 tokens

Output4,096 tokens

Qwen3-235B-A22B-Thinking-2507

Input262,144 tokens

Output131,072 tokens

Mon May 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4.5 supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 does not.

GPT-4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4.5

Text

Images

Audio

Video

Qwen3-235B-A22B-Thinking-2507

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-4.5 is licensed under a proprietary license, while Qwen3-235B-A22B-Thinking-2507 uses Apache 2.0.

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

GPT-4.5

Proprietary

Closed source

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4.5 was released on 2025-02-27, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Qwen3-235B-A22B-Thinking-2507 is 5 months newer than GPT-4.5.

GPT-4.5

Feb 27, 2025

1.2 years ago

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

10 months ago

4mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GPT-4.5 is available from OpenAI. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.

GPT-4.5

OpenAI

Input Price:Input: $75.00/1MOutput Price:Output: $150.00/1M

Qwen3-235B-A22B-Thinking-2507

Fireworks

Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M

Novita

Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

GPT-4.5

View details

OpenAI

Supports multimodal inputs

Higher IFEval score (88.2% vs 87.8%)

Higher TAU-bench Airline score (50.0% vs 46.0%)

Higher TAU-bench Retail score (68.4% vs 67.8%)

Qwen3-235B-A22B-Thinking-2507

View details

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 69.5%)

Higher Multi-IF score (80.6% vs 70.8%)

Detailed Comparison

AI Model Comparison Table
Feature	GPT-4.5	Qwen3-235B-A22B-Thinking-2507

FAQ

Common questions about GPT-4.5 vs Qwen3-235B-A22B-Thinking-2507.

Which is better, GPT-4.5 or Qwen3-235B-A22B-Thinking-2507?

GPT-4.5 has a slight edge in benchmark performance. GPT-4.5 is made by OpenAI and Qwen3-235B-A22B-Thinking-2507 is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-4.5 compare to Qwen3-235B-A22B-Thinking-2507 in benchmarks?

GPT-4.5 scores GSM8k: 97.0%, MMLU: 90.8%, CharXiv-D: 90.0%, IFEval: 88.2%, HumanEval: 88.0%. 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%.

Is GPT-4.5 cheaper than Qwen3-235B-A22B-Thinking-2507?

Qwen3-235B-A22B-Thinking-2507 is 250.0x cheaper for input tokens. GPT-4.5 costs $75.00/M input and $150.00/M output via openai. Qwen3-235B-A22B-Thinking-2507 costs $0.30/M input and $3.00/M output via fireworks.

What are the context window sizes for GPT-4.5 and Qwen3-235B-A22B-Thinking-2507?

GPT-4.5 supports 128K tokens and Qwen3-235B-A22B-Thinking-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-4.5 and Qwen3-235B-A22B-Thinking-2507?

Key differences include context window (128K vs 262K), input pricing ($75.00 vs $0.30/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4.5 and Qwen3-235B-A22B-Thinking-2507?

GPT-4.5 is developed by OpenAI and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.