HunterAlphaHub
OpenRouter model reference Facts from the public catalogue, dated and labelled
Jev Laya Verified
2026-10-16

Model · DeepSeek

DeepSeek V4 Pro

DeepSeek V4 Pro is served by DeepSeek through OpenRouter. It provides 1.05M tokens of context and supports text inputs.

Snapshot 2026-10-16 deepseek/deepseek-v4-pro-0813
Context window
1.05M tokens
Input / 1M tokens
$1.32
Output / 1M tokens
$3.96

Key facts

Provider DeepSeek
OpenRouter ID deepseek/deepseek-v4-pro-0813
Modalities Text
Best for Long Context, Budget, Agents
Source openrouter.ai/api/v1/models Verified 2026-10-16 Drift-checked daily 06:00 CST

Best-fit workloads

Best for long context

Large context window for documents and transcripts.

Best for budget

Low input/output cost for high-volume workloads.

Best for agents

Tool use, structured output and multi-step reasoning.

Cost estimates

These examples use the 2026-10-16 input and output prices. Cache discounts, provider surcharges and tool fees are excluded.

Workload Input Output Estimated cost
Quick test 20,000 5,000 $0.046
Product chat month 500,000 125,000 $1.16
Document batch 5,000,000 1,000,000 $10.56

Strengths

  • ✓ Balanced cost/performance for long-form reasoning
  • ✓ 1M-token context window
  • ✓ Good fit for research and document pipelines

Limitations

  • ! Text-only
  • ! Complex tool use may require additional evaluation

OpenRouter API quickstart

Run these examples from your server or edge function. Keep the OpenRouter API key private and do not expose it in browser code.

cURL

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek/deepseek-v4-pro-0813",
    "messages": [{ "role": "user", "content": "Summarize this document in five bullet points." }],
    "max_tokens": 500
  }'

JavaScript / TypeScript

const response = await fetch("https://openrouter.ai/api/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.OPENROUTER_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "deepseek/deepseek-v4-pro-0813",
    messages: [{ role: "user", content: "Summarize this document in five bullet points." }],
    max_tokens: 500,
  }),
});

const data = await response.json();
console.log(data.choices[0].message.content);

How to evaluate DeepSeek V4 Pro

  1. Run five real tasks from your product, not generic demo prompts.
  2. Record token usage, latency and output quality.
  3. Estimate cost using your real input/output mix.
  4. Compare it against one model with a similar price and one stronger model.

Compare models View on OpenRouter ↗

DeepSeek V4 Pro FAQ

What is DeepSeek V4 Pro?

DeepSeek V4 Pro is a DeepSeek model available through OpenRouter. It supports text inputs and is suited for long context, budget, agents workloads.

How much does DeepSeek V4 Pro cost on OpenRouter?

The 2026-10-16 snapshot lists $1.32 per 1M input tokens and $3.96 per 1M output tokens. Verify current pricing on OpenRouter before production.

How large is DeepSeek V4 Pro's context window?

DeepSeek V4 Pro offers 1.05M tokens of context in the current snapshot. Provider-specific limits and surcharges may apply.

Head-to-head comparisons

DeepSeek V4 Pro vs Claude Opus 5

DeepSeek V4 Pro is attractive for cost-sensitive long-document reasoning. Claude Opus 5 is better when the task is hard enough to justify premium reasoning and agent behavior.

Pricing and context data are based on a 2026-10-16 snapshot. Provider limits can change; always verify on OpenRouter before production.

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