GPT-4o-mini vs Qwen3 235B A22B Instruct 2507
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GPT-4o-mini and Qwen3 235B A22B Instruct 2507.
GPT-4o-mini
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
Qwen3 235B A22B Instruct 2507
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...
Technical Specifications
| Specification | GPT-4o-mini | Qwen3 235B A22B Instruct 2507 |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Context Window | 128,000 tokens | 262,144 tokens |
| Agent Suitability | 82/100 | N/A |
| Time to First Token (TTFT) | 150 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-07-18 | 2025-07-21 |
API Pricing Comparison
Input Price per Million Tokens
GPT-4o-mini
$0.15
Qwen3 235B A22B Instruct 2507
$0.09
Output Price per Million Tokens
GPT-4o-mini
$0.60
Qwen3 235B A22B Instruct 2507
$0.10
Want to test both models live?
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
GPT-4o-mini Quirks & Gotchas
- ▸Ultra-low latency — best TTFT in the OpenAI lineup
- ▸Tool calling limited to single-step — not suitable for complex agentic pipelines
Qwen3 235B A22B Instruct 2507 Quirks & Gotchas
No developer gotchas reported.