DeepSeek-V3.2 is an efficient large language model equipped with DeepSeek Sparse Attention and reinforced reasoning performance, but its core strength lies in powerful agentic capabilities—enabled by large-scale task-synthesis that tightly integrates reasoning with real-world tool use, delivering robust, compliant, and generalizable agent behaviour. Users can toggle deeper reasoning through the reasoning_enabled switch.
DeepSeek V3.2 vs DeepSeek V4 Flash
Compare DeepSeek V3.2 from DeepSeek and DeepSeek V4 Flash from DeepSeek on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
(This model currently points to the older 0423 version; if you need to request the latest version, you can choose the model deepseek-v4-flash-0731)DeepSeek-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.
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 V3.2, DeepSeek V4 Flash?
DeepSeek V4 Flash: $0.284/M output tokens; DeepSeek V3.2: $0.453/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
DeepSeek V4 Flash: 1483; DeepSeek V3.2: 1470 (LMArena coding leaderboard).
Which responds faster?
DeepSeek V3.2: 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 V3.2 accepts 163,840 and DeepSeek V4 Flash accepts 1,000,000 input tokens. Maximum output per request is 64,000 tokens on DeepSeek V3.2 and 384,000 tokens on DeepSeek V4 Flash.
Which one generates tokens faster?
DeepSeek V4 Flash at 66.5 tok/s and DeepSeek V3.2 at 38.0 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 V3.2 accepts text input and supports tool calling, function calling, structured outputs and thinking; DeepSeek V4 Flash accepts text input and supports tool calling, function calling, structured outputs and thinking.
Can I call DeepSeek V3.2 and DeepSeek V4 Flash 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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