Compare DeepSeek V3.1 Fast 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.
DeepSeek V3.1 Fast
GPT 5.6 LunaThe model provider is the Sophon platform. DeepSeek V3.1 Fast is the high-TPS speed version of DeepSeek V3.1. Hybrid thinking mode: By modifying the chat template, a single model can simultaneously support both thinking and non-thinking modes. Smarter tool usage: Through post-training optimization, the model’s performance in tool utilization and agent tasks has improved significantly.
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.
GPT 5.6 Luna: $1.2/M output tokens; DeepSeek V3.1 Fast: $3.288/M. Use the cost calculator above to estimate your own workload.
DeepSeek V3.1 Fast: 0.2s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
DeepSeek V3.1 Fast accepts 163,000 and GPT 5.6 Luna accepts 1,050,000 input tokens. Maximum output per request is 163,000 tokens on DeepSeek V3.1 Fast and 128,000 tokens on GPT 5.6 Luna.
DeepSeek V3.1 Fast at 150.0 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.
DeepSeek V3.1 Fast accepts text input and supports tool calling, function calling and structured outputs; 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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