(This model currently points to the older 0423 version; if you need to request the latest version, you can choose the model deepseek-v4-pro-0813)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.( Directly requesting deepseek-v4-pro will route you through the official discount channel.)
DeepSeek V4 Pro vs GPT 5.6 Luna
Compare DeepSeek V4 Pro from DeepSeek and GPT 5.6 Luna from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
GPT-5.6 Luna is designed for cost-sensitive, high-volume workloads. It roughly corresponds to the nano model tier used in earlier GPT-5 families.
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: DeepSeek V4 Pro, GPT 5.6 Luna?
GPT 5.6 Luna: $1.2/M output tokens; DeepSeek V4 Pro: $3.38/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
DeepSeek V4 Pro: 1.6s 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?
DeepSeek V4 Pro accepts 1,000,000 and GPT 5.6 Luna accepts 1,050,000 input tokens. Maximum output per request is 384,000 tokens on DeepSeek V4 Pro and 128,000 tokens on GPT 5.6 Luna.
Which one generates tokens faster?
DeepSeek V4 Pro at 51.3 tok/s and GPT 5.6 Luna at 47.6 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
DeepSeek V4 Pro accepts text input and supports tool calling, function calling, structured outputs and thinking; GPT 5.6 Luna accepts text and image input and supports tool calling, thinking and structured outputs.
Can I call DeepSeek V4 Pro and GPT 5.6 Luna 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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