- 1M context
- Reasoning
- Responses API
DeepSeek V4.1 Flash on QuickSilver Pro
DeepSeek V4.1 Flash is DeepSeek's V4.1 Flash: a new model architecture that is faster and stronger than V4 Flash, with a 1M-token context and a native Responses API for Codex. QuickSilver Pro serves it at FP8 precision for $0.125 / $0.55 per million tokens — less than half of DeepSeek's own peak-hour list rate.
- 1M context
- Tools
- Reasoning · on by default
- Streaming
- JSON Schema output
You pay · input / output per 1M
$0.125 / $0.55
54% lower
on output vs DeepSeek list price
Pricing comparison ($/1M tokens)
Bar length = price relative to the list price
| Provider | Input | Output | vs QSP |
|---|---|---|---|
| QuickSilver Pro | $0.125 | $0.55 | lowest-cost |
| DeepSeek list price(DeepSeek API) | $0.30 | $1.20 | 54% lower |
| OpenAI (GPT-4o-mini) | $0.15 | $0.60 | 8% lower |
DeepSeek list source: api-docs.deepseek.com/quick_start/pricing
At a glance
- Context
- 1M tokens
- Input / 1M
- $0.125
- Output / 1M
- $0.55
- Thinks by default
- Yes
- Latency · live
- —
The newest DeepSeek Flash architecture for Codex, agentic coding, and long-context automation.
When is DeepSeek V4.1 Flash the right call?
Curated from catalog capabilities and published prices, not a benchmark.
When to use
Reach for V4.1 Flash when you want the latest DeepSeek Flash architecture — faster responses and stronger coding/tool use than V4 Flash — for Codex, agentic coding, multi-step tool use, and long-context automation. The official build supports both OpenAI Chat Completions and Responses API clients under a stable QSP model ID.
- Long documents and codebases, up to 1M tokens of context
- Agents that call tools, with strict JSON Schema output
- Multi-step reasoning, on by default
- Responses API clients as well as Chat Completions
When to use something else
For a settled, lowest-cost workhorse, V4 Flash ($0.06/$0.18) is cheaper. For genuinely hard reasoning, escalate to V4 Pro. V4.1 Flash is text-only here — if you need image input, 43 of our 88 models accept it.
Quickstart (curl)
Get an API key →curl https://api.quicksilverpro.io/v1/chat/completions \
-H "Authorization: Bearer $QSP_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4.1-flash",
"messages": [{"role": "user", "content": "Hello!"}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.quicksilverpro.io/v1",
api_key=os.environ["QSP_KEY"],
)
response = client.chat.completions.create(
model="deepseek-v4.1-flash",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.quicksilverpro.io/v1",
apiKey: process.env.QSP_KEY,
});
const response = await client.chat.completions.create({
model: "deepseek-v4.1-flash",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);curl https://api.quicksilverpro.io/v1/responses \
-H "Authorization: Bearer $QSP_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4.1-flash",
"input": "Hello!"
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.quicksilverpro.io/v1",
api_key=os.environ["QSP_KEY"],
)
response = client.chat.completions.create(
model="deepseek-v4.1-flash",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)OpenAI-compatible. One-line migration via base_url.
Gateway behavior
Compatibility notes for this model.
prompt- Prompts up to 1M tokens.
- /v1/chat/completions: Supported
- /v1/responses: Supported
- streaming: Supported
- tools: Supported
- image input: Not listed for this model
- JSON Schema: Supported
- reasoning: Supported
Where the price comes from
- Provider reference
- $0.30 / $1.20api-docs.deepseek.com/quick_start/pricing
- Catalog verified
- Prompt cache · not compared
- $0.0125 read
usage.cost = prompt_tokens × $0.125/1M + completion_tokens × $0.55/1M
FAQ
Common questions
V4.1 Flash is DeepSeek's newer Flash architecture — faster and stronger on coding and tool use. V4 Flash ($0.06/$0.18) remains the settled, lowest-cost option. Both think by default and expose the OpenAI Chat Completions and Responses APIs.
V4.1 Flash reasons by default. For direct non-thinking chat through Chat Completions, pass reasoning: { enabled: false }; Responses API clients can set reasoning.effort to control depth.
Yes. Use base_url=https://api.quicksilverpro.io/v1 with model="deepseek-v4.1-flash". QSP exposes both /v1/chat/completions and /v1/responses; Codex should use wire_api = "responses".
DeepSeek V4.1 Flash
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