DeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.
deepseek-v4-flash vs gpt-5.5
Output tokens cost $0.31 per million on deepseek-v4-flash and $30.00 per million on gpt-5.5. Input tokens cost $0.15 per million on deepseek-v4-flash and $5.00 per million on gpt-5.5. Cached input tokens are billed at $0.00 per million on deepseek-v4-flash and $0.50 per million on gpt-5.5. Context windows are 1,000,000 tokens on deepseek-v4-flash and 1,050,000 tokens on gpt-5.5. First-token latency measured on AIHubMix is 1.2s on deepseek-v4-flash and 5.4s on gpt-5.5. Measured output throughput is 101.3 tokens/s on deepseek-v4-flash and 49.1 tokens/s on gpt-5.5.
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.
Specs & Pricing
Prices are per million tokens. Latency and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Usage on AIHubMix last 30 days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Live Performance last 3 days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (TPS)
Latency (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: deepseek-v4-flash, gpt-5.5?
deepseek-v4-flash: $0.31/M output tokens; gpt-5.5: $30.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
deepseek-v4-flash: 1.2s first-token latency measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
deepseek-v4-flash accepts 1,000,000 and gpt-5.5 accepts 1,050,000 input tokens. Maximum output per request is 384,000 tokens on deepseek-v4-flash and 128,000 tokens on gpt-5.5.
Which one generates tokens faster?
deepseek-v4-flash at 101.3 tokens/s and gpt-5.5 at 49.1 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.
What inputs and capabilities does each model support?
deepseek-v4-flash accepts text input and supports tool calling, function calling, structured outputs and thinking; gpt-5.5 accepts text and image input and supports thinking, function calling, structured outputs, web search and tool calling.
Can I call deepseek-v4-flash and gpt-5.5 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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