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 GPT 4.1 Nano
Compare DeepSeek V4 Flash from DeepSeek and GPT 4.1 Nano 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.
Ultra-lightweight model with million-token context, optimized for speed and low latency, costing only $0.10 per million input tokens. It is suitable for edge computing and real-time interaction. The automatic caching mechanism offers a 75% cost reduction on cache hits.
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 (%)
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
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, GPT 4.1 Nano?
GPT 4.1 Nano: $0.4/M output tokens; DeepSeek V4 Flash: $0.928/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
DeepSeek V4 Flash: 1452; GPT 4.1 Nano: 1306 (LMArena coding leaderboard).
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 GPT 4.1 Nano accepts 1,047,576 input tokens.
Which one generates tokens faster?
GPT 4.1 Nano at 83.0 tok/s and DeepSeek V4 Flash at 59.0 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; GPT 4.1 Nano accepts text, image and PDF input and supports tool calling, function calling, structured outputs and long context.
Can I call DeepSeek V4 Flash and GPT 4.1 Nano 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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