Compare

DeepSeek-V4-Pro vs Deepseek-V4-Pro-0813

Pricing per million tokens, context window, capabilities — pulled from each provider's public docs. All 2 are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

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DeepSeek-V4-Pro
deepseek/deepseek-v4-pro
Deepseek-V4-Pro-0813
deepseek/deepseek-v4-pro-0813
Provider
Deepseek
Deepseek
Family
DeepSeek
DeepSeek
Modality
text
text
Context window
1,000,000 tok
1,048,576 tok
Max output
393,216 tok
32,768 tok
Released
2026-05-11
2026-08-13
License
Open-weight
Open-weight
Input price
$2.40 /1M
$1.32 /1M
Output price
$4.80 /1M
$3.96 /1M
Tools
yes
yes
Streaming
yes
yes
Vision
—
—
JSON mode
yes
yes
Reasoning
yes
yes
Prompt caching
—
—
Batch API
—
—
Try it
Open in playground →
Open in playground →
DeepSeek-V4-Pro
deepseek/deepseek-v4-pro
Full spec →

DeepSeek V4 Pro is a high-capability reasoning model from DeepSeek, served via Fireworks infrastructure for production-grade inference.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows
Deepseek-V4-Pro-0813
deepseek/deepseek-v4-pro-0813
Full spec →

DeepSeek V4 Pro is a high-capability reasoning model from DeepSeek with a one million token context window, built for long-horizon agentic workflows and complex, multi-step problem-solving

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows

Compare with another

Deepseek-V4-Flash-0731 vs Deepseek-V4-Pro-0813
deepseek/deepseek-v4-flash-0731 · deepseek/deepseek-v4-pro-0813
Deepseek-V4-Flash-0731 vs DeepSeek-V4-Pro
deepseek/deepseek-v4-flash-0731 · deepseek/deepseek-v4-pro
SWITCH BETWEEN THEM

One key, all 2, one line different.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.aigateway.sh/v1",
    api_key="sk-aig-...",
)

# DeepSeek-V4-Pro
client.chat.completions.create(
    model="deepseek/deepseek-v4-pro",
    messages=[{"role":"user","content":"hello"}],
)

# Deepseek-V4-Pro-0813
client.chat.completions.create(
    model="deepseek/deepseek-v4-pro-0813",
    messages=[{"role":"user","content":"hello"}],
)
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