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deepseek-v4-pro is DeepSeek’s reasoning flagship and the most cost-effective high-capability model on ByteSpike. A fraction of the cost of gpt-5-4 at comparable quality on most benchmarks, with the same dual-protocol surface that DeepSeek exposes natively. Pricing: 0.435/1Minput,0.435 / 1M input, 0.87 / 1M output, $0.004 / 1M cache read — see the rate card. DeepSeek V4 is a distinct series from the older V3.2, at different price points. For V3.2 see deepseek-v3-2.

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Protocols

ProtocolPath
Anthropic MessagesPOST https://llm.bytespike.ai/v1/messages
OpenAI Chat CompletionsPOST https://llm.bytespike.ai/v1/chat/completions
Both protocols are first-class. The same ByteSpike key works on either; pick whichever shape your client already speaks.

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Quickstart

curl https://llm.bytespike.ai/v1/chat/completions \
  -H "Authorization: Bearer $BYTESPIKE_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "deepseek-v4-pro",
    "messages": [
      { "role": "user", "content": "Hello, ByteSpike." }
    ]
  }'

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Capabilities

CapabilitySupported
Chat Completions✅
Anthropic Messages✅
Streaming (SSE)✅
Tool use (function calling)✅ parallel
JSON mode✅
Reasoning chain✅ (reasoning_content field / thinking block)
Vision (HTTP API)❌
Context window64K tokens
The reasoning chain (“thinking output”) appears as:
  • On the OpenAI endpoint: reasoning_content field on the choice.
  • On the Anthropic endpoint: a thinking block ahead of the text block in content[].
Reasoning tokens count toward output billing.

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When to use

  • Cost-sensitive reasoning — when you’d reach for gpt-5-4 but want a fraction of the cost.
  • Agents on a budget — tool_use blocks pass through transparently via the Anthropic endpoint; DOSIA Agent uses this model heavily.
  • DOSIA Agent mode — must use the Anthropic Messages endpoint.
When not to use:
  • Vision-required tasks — not on HTTP API today.
  • Web search — DeepSeek does not expose a grounding tool.
  • Long context — 64K is the ceiling here; go to claude-opus-4-8 (200K) or gemini-3-1-pro (1M).

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