DeepSeek V4 Pro

LiveDeepSeek
Model IDdeepseek-v4-pro

DeepSeek V4 Pro by DeepSeek: 1M context, 384K max output, with Function Calling, Reasoning, Prompt Caching, Response Schema, Streaming. Via WandAPI, Input (prompt) costs 4.05 Credits / M tokens, 10% below list price. 7-day uptime 99.8%. Compatible with Anthropic Messages / OpenAI Responses: swap the base URL and you are connected.

Context window
1Mtokens
1,000,000
Max output
384Ktokens
384,000
7-day uptime
99.8%
1828 probes · 3 failed
Measured throughput
67.4tokens / s
Real traffic, last 7 days · output side

Capabilities

Listed exactly as the catalog flags them, including what this model does not support.

5 of 15 supported

Function Calling

Connect the model to external tools and APIs: it decides when to call which function and with what arguments, your code runs it. Force or forbid calls with tool_choice.

Reasoning

The model thinks before answering, which markedly improves multi-step planning and reasoning for coding, math and data analysis. Thinking tokens bill at the output rate.

Prompt Caching

Repeated prefixes (system prompts, long documents) hit the cache: reads cost far less than input, writes are priced by retention time.

Response Schema

Constrain output to a JSON Schema you provide for predictable, type-safe results without parsing free text.

Streaming

Tokens arrive over SSE as they are generated; the first frame is forwarded immediately with no buffering. Claude Code, Codex and similar tools depend on this.

VisionNot supported

Natively multimodal: captioning, classification, visual Q&A, chart and screenshot understanding. Images are converted to tokens at the input rate.

AudioNot supported

Audio input or speech output.

VideoNot supported

Video input understanding or video generation.

File InputNot supported

Upload PDFs and other documents directly; the model reads the whole document with native vision.

Web SearchNot supported

Vendor-hosted live web retrieval; the model decides when to search and cites sources.

RealtimeNot supported

Bidirectional low-latency voice / text sessions over WebSocket.

SessionNot supported

Server-side multi-turn context (e.g. previous_response_id in Responses) so you need not resend history.

MediaNot supported

Image / video / music generation endpoints.

Multipart FormNot supported

multipart/form-data file-upload requests.

Binary ResponseNot supported

Endpoints that return raw audio / image bytes.

Reliability & performance

WandAPI probes this model through the real supply chain on a schedule — measured, not self-reported.

Last probe: 11/2/2026, 6:02:39 AM
99.8%1828 probes in 7 days, 3 failed · automatic failover to backup channels
1.5s1.9s1.7s2.0s2.1s1.7s1.7s2.1s1.3s2.0s2.0s1.6s1.7s1.6s1.5s2.0s2.3s2.2s1.3s1.7s1.5s1.6s1.8s1.7s1.7s2.2s2.3s1.8s1.9s1.5s1.4s1.8s1.4s1.3s1.8s1.9s1.8s1.6s1.5s1.2s1.8s1.8s1.8s1.5s1.6s1.8s1.7s1.7s1.7s2.2s1.7s2.3s1.3s1.9s1.7s1.4s1.6s1.4s2.3s1.7s
11/2/2026, 12:38:00 AMnow
successful probe, bar height = end-to-end latency (0–4 s)failed probegrid 1 s

Latency & throughput

Latest latency1.7s
Avg. of last 601.7s
P95 of last 602.3s
Output throughput67.4t/s
ProtocolsAnthropic Messages / OpenAI Responses

Protocols & code samples

Change the base URL to WandAPI, keep everything else. Native protocols pass straight through; “adapted” ones are translated by the gateway.

Anthropic SDK or any Messages-protocol client: point base_url at https://api.wandapi.com and use a WandAPI key.

curl https://api.wandapi.com/v1/messages \
  -H "x-api-key: $WANDAPI_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "deepseek-v4-pro",
    "max_tokens": 1024,
    "messages": [{"role": "user", "content": "Explain prompt caching in one sentence"}]
  }'

Full price list

List price → WandAPI price per channel, every pricing dimension, nothing hidden.

1 Credit ≈ $0.152 · rate updated daily
ItemUnitDeepSeek list priceDeepSeek (Tier-1 Direct) ×1DeepSeek(官方直连) ×0.910% off
Input (prompt)per 1M tokens¥4.50≈ $0.6834.5 Credits4.05 Credits
Output (completion)per 1M tokens¥13.50≈ $2.0513.5 Credits12.15 Credits
Cache readper 1M tokens¥0.15≈ $0.02280.15 Credits0.135 Credits

“Off” is computed at 1 Credit = ¥1 and today’s rate: 1 − channel multiplier × (1 Credit in the list currency). 高峰时段 tier ×2: every pricing dimension is multiplied by this factor when Mon、Tue、Wed、Thu、Fri 01:00–04:00、06:00–10:00 (UTC); stacks with any channel.

FAQ

How much does the DeepSeek V4 Pro API cost?

Via WandAPI, Input (prompt) costs 4.05 Credits / M tokens, with 1 Credit = ¥1. That is 10% below the DeepSeek list price.

What are the context window and output limit of DeepSeek V4 Pro?

Context window 1M tokens, up to 384K tokens per response.

Does DeepSeek V4 Pro support function calling and structured outputs?

Function calling with tool_choice control is supported; structured outputs (JSON Schema) are supported.

How do I use DeepSeek V4 Pro in Claude Code?

Set ANTHROPIC_BASE_URL=https://api.wandapi.com, ANTHROPIC_API_KEY to your WandAPI key and ANTHROPIC_MODEL=deepseek-v4-pro, then run claude. No config files to edit.

How is the 99.8% uptime measured?

WandAPI sends probe requests to this model through the real supply chain on a schedule and divides successful probes by total probes over the last 7 days. When one channel fails the gateway fails over to a backup, so the figure reflects what end users actually see.

One API key for DeepSeek V4 Pro and 30+ models

Free credits on sign-up, pay as you go, no monthly fee.

Get an API Key