DeepSeek V4 Pro on QuickSilver Pro
DeepSeek V4 Pro is the V4 wave's flagship for premium reasoning — 1M-token context, reasoning by default, and an OpenAI-compatible Chat Completions and Responses API. QuickSilver Pro serves V4 Pro at $0.70 input / $2.10 output per million tokens — about 47% below DeepSeek's own published API price of $1.32 / $3.96. It is a cost-efficient alternative to o3-mini for long-context premium reasoning workloads.
At a glance
Premium reasoning + 1M context, at ~47% below DeepSeek’s own published API price.
Pricing comparison ($/1M tokens)
| Provider | Input | Output | vs QSP |
|---|---|---|---|
| QuickSilver Pro | $0.70 | $2.10 | lowest-cost |
| DeepSeek official list (DeepSeek official API) | $1.32 | $3.96 | 47% lower |
| OpenAI (o3-mini) | $1.10 | $4.40 | 52% lower |
When to use
V4 Pro is the right pick when V4 Flash isn't smart enough but frontier-tier per-token costs start adding up. Multi-step coding agents, refactor planners, large-document summarization with reasoning, competition-math / theorem-style problems, and any workload where you'd consider o3-mini but the price is the blocker. The 1M context window scales further than o3-mini's 200K.
When to use something else
For routine chat, codegen, or non-agentic single-shot tasks, V4 Flash ($0.112/$0.224) lands most of them for less. For closed-model capabilities, stay on OpenAI's o-series. For agentic / planning at Opus class, Kimi K2.6.
Quickstart (curl)
curl https://api.quicksilverpro.io/v1/chat/completions \
-H "Authorization: Bearer $QSP_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4-pro",
"messages": [{"role": "user", "content": "Hello!"}]
}'OpenAI-compatible. One-line migration via base_url.
FAQ
On premium-reasoning workloads with long context, it can be. V4 Pro reasons by default, supports 1M context versus o3-mini's 200K, and lists at $0.70 input / $2.10 output versus o3-mini's $1.10 / $4.40 per million tokens. Match both on your own eval set; V4 Pro is text-only, while 33 of our 65 models accept image input.
V4 Pro is the premium reasoning tier of the V4 wave — deeper chain-of-thought on hard problems (competition math, theorem proving, multi-step planning) at $0.70 / $2.10 per 1M. V4 Flash ($0.112/$0.224) is the low-cost workhorse for routine chat and codegen. Both carry catalog-derived context limits and think by default. Reach for V4 Pro when the answer quality on hard reasoning matters more than the per-token cost.
Roughly, yes — 1M tokens is about 2.5–3 million words of code in modern languages. That's enough for most monorepos. Keep in mind cost scales linearly with input tokens (~$0.70 per 1M input), so dumping a 1M-token context costs $0.70 just on input before reasoning. For frequently-repeated context, consider RAG or partial-prompt caching when we ship it.
QuickSilver Pro charges $0.70 per million input tokens, $2.10 per million output tokens, and $0.10 per million cached-input tokens — about 47% below DeepSeek's own published API list of $1.32 / $3.96 per million tokens.