DeepSeek V4 Flash 0423 is DeepSeek's efficiency-optimized Mixture-of-Experts text model, designed for fast inference and workflows requiring tool use, function calling, and structured outputs. It features 284B total parameters with 13B activated parameters and supports a 1M-token context window with cost-effective pricing.
DeepSeek V4 Flash vs Qwen3 VL 30B A3B Thinking
Compare DeepSeek V4 Flash from DeepSeek and Qwen3 VL 30B A3B Thinking from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
The Qwen3-VL series’ second-largest MoE model Thinking version offers fast response speed, stronger multimodal understanding and reasoning, visual agent capabilities, and ultra-long context support for long videos and long documents; it features comprehensive upgrades in image/video understanding, spatial perception, and universal recognition abilities, making it capable of handling complex real-world tasks.
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 Flash, Qwen3 VL 30B A3B Thinking?
DeepSeek V4 Flash: $0.928/M output tokens; Qwen3 VL 30B A3B Thinking: $1.028/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
DeepSeek V4 Flash: 0.7s 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 Flash accepts 1,000,000 and Qwen3 VL 30B A3B Thinking accepts 131,072 input tokens.
Which one generates tokens faster?
DeepSeek V4 Flash at 59.0 tok/s and Qwen3 VL 30B A3B Thinking at 41.8 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 Flash accepts text input and supports tool calling, function calling and structured outputs; Qwen3 VL 30B A3B Thinking accepts text, image and video input and supports thinking, tool calling, function calling and structured outputs.
Can I call DeepSeek V4 Flash and Qwen3 VL 30B A3B Thinking 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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