Compare Deep Deepseek V4 Flash 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.
Deep Deepseek V4 Flash
GPT 5.6 LunaDeep-deepseek-v4-flash is the latest version 0731. Currently, the default routing for deepseek-v4-flash goes through deep-deepseek-v4-flash, which is DeepSeek's official endpoint. DeepSeek-V4 has a super long context of millions of words and leads in domestic and open-source fields in terms of agent capabilities, world knowledge, and reasoning performance.
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.
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.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Deep Deepseek V4 Flash: $0.6972/M output tokens; GPT 5.6 Luna: $1.2/M. Use the cost calculator above to estimate your own workload.
Deep Deepseek V4 Flash: 1.6s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Deep Deepseek V4 Flash accepts 1,000,000 and GPT 5.6 Luna accepts 1,050,000 input tokens. Maximum output per request is 384,000 tokens on Deep Deepseek V4 Flash and 128,000 tokens on GPT 5.6 Luna.
GPT 5.6 Luna at 47.6 tok/s and Deep Deepseek V4 Flash at 46.5 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Deep Deepseek V4 Flash 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.
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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