Output tokens cost $0.31 per million on deepseek-v4-flash and $7.50 per million on gemini-3.6-flash. Input tokens cost $0.15 per million on deepseek-v4-flash and $1.50 per million on gemini-3.6-flash. Cached input tokens are billed at $0.00 per million on deepseek-v4-flash and $0.15 per million on gemini-3.6-flash. Context windows are 1,000,000 tokens on deepseek-v4-flash and 1,048,576 tokens on gemini-3.6-flash. First-token latency measured on AIHubMix is 1.2s on deepseek-v4-flash and 3.1s on gemini-3.6-flash. Measured output throughput is 101.3 tokens/s on deepseek-v4-flash and 123.8 tokens/s on gemini-3.6-flash.
deepseek-v4-flash
gemini-3.6-flashDeepSeek-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.
Gemini 3.6 Flash provides sustained frontier-level intelligence optimized for real-world tasks at a higher speed and lower cost. Designed for the agentic era, it excels at code generation, agentic execution, and spatial reasoning. This model is particularly effective for rapid agentic loops involving complex coding cycles and iterations.
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.
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.
deepseek-v4-flash: $0.31/M output tokens; gemini-3.6-flash: $7.50/M. Use the cost calculator above to estimate your own workload.
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.
deepseek-v4-flash accepts 1,000,000 and gemini-3.6-flash accepts 1,048,576 input tokens. Maximum output per request is 384,000 tokens on deepseek-v4-flash and 65,536 tokens on gemini-3.6-flash.
gemini-3.6-flash at 123.8 tokens/s and deepseek-v4-flash at 101.3 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.
deepseek-v4-flash accepts text input and supports tool calling, function calling, structured outputs and thinking; gemini-3.6-flash accepts text, image, audio and video input and supports thinking, tool calling, function calling, structured outputs, web search and long context.
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.
Related model match-ups readers also look at.
AIHubMix