GPT-4o-mini vs Qwen3.5-122B-A10B
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 Qwen3.5-122B-A10B.
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...
Qwen3.5-122B-A10B
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...
Technical Specifications
| Specification | GPT-4o-mini | Qwen3.5-122B-A10B |
|---|---|---|
| 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 | 2026-02-25 |
API Pricing Comparison
Input Price per Million Tokens
GPT-4o-mini
$0.15
Qwen3.5-122B-A10B
$0.26
Output Price per Million Tokens
GPT-4o-mini
$0.60
Qwen3.5-122B-A10B
$2.08
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
Qwen3.5-122B-A10B Quirks & Gotchas
No developer gotchas reported.