GPT-5.5 raises the baseline for complex production workflows. It’s a strong fit for coding use cases, tool-heavy agents, grounded assistants, long-context retrieval, product-spec-to-plan workflows, and customer-facing workflows where execution quality and response polish are critical.
GPT 5.5 vs Qwen3.7 Flash
Compare GPT 5.5 from OpenAI and Qwen3.7 Flash from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
The Qwen 3.7 series' mid-to-high cost-performance "Plus" model builds on strong text capabilities with a comprehensive upgrade to vision-language abilities, while retaining full agent capabilities in coding, tool use, and productivity workflows. Its core features are multimodal interactive hybrid agent capabilities, able to perceive real-world scenes, read screens and operate GUIs, generate code based on visual references, and provide end-to-end navigation of mobile applications.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: GPT 5.5, Qwen3.7 Flash?
Qwen3.7 Flash: $0.1128/M output tokens; GPT 5.5: $30/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Qwen3.7 Flash: 3.2s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
GPT 5.5 accepts 1,050,000 and Qwen3.7 Flash accepts 1,000,000 input tokens. Maximum output per request is 128,000 tokens on GPT 5.5 and 131,072 tokens on Qwen3.7 Flash.
Which one generates tokens faster?
GPT 5.5 at 63.6 tok/s and Qwen3.7 Flash at 57.9 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
GPT 5.5 accepts text, image and PDF input and supports thinking, function calling, structured outputs, web search and tool calling; Qwen3.7 Flash accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
Can I call GPT 5.5 and Qwen3.7 Flash with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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