DeepSeek V4 Pro 0813 vs Kimi K3

DeepSeek V4 Pro 0813 and Kimi K3 side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.

DeepSeek Moonshot AI Text Generation

DeepSeek V4 Pro 0813 vs Kimi K3 at a glance

DeepSeek V4 Pro 0813 from DeepSeek and Kimi K3 from Moonshot AI are both in the Text Generation category, available through the EmpirioLabs API.

Key differences

  • DeepSeek V4 Pro 0813 is the newer release (Aug 13, 2026); Kimi K3 was released on Jul 15, 2026.
  • Both models have a context window of 1M tokens.
  • DeepSeek V4 Pro 0813 returns up to 393,216 output tokens per response, Kimi K3 up to 131,072.
  • Input types only Kimi K3 accepts: Image, Video.
  • Capabilities listed only for DeepSeek V4 Pro 0813: structured output.
  • Capabilities listed only for Kimi K3: multimodal, web search.
  • DeepSeek V4 Pro 0813 lists the lower rate for Input (per 1M prompt tokens) and Output (per 1M generated tokens).

DeepSeek V4 Pro 0813 vs Kimi K3: specs

SpecDeepSeek V4 Pro 0813Kimi K3
Model IDdeepseek-v4-pro-0813kimi-k3
AuthorDeepSeekMoonshot AI
ReleasedAug 13, 2026Jul 15, 2026
Context window1M tokens1M tokens
Max output393,216 tokens131,072 tokens
Input
Text
Text Image Video
Output
Text
Text
Structured outputJSON SchemaJSON Schema
RegionSingaporeInternational
Endpoints
POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/deepseek-v4-pro-0813:generateContent
POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/kimi-k3:generateContent
Capabilities
reasoning function calling structured output agentic coding
reasoning function calling multimodal agentic coding web search

DeepSeek V4 Pro 0813 vs Kimi K3: API pricing

Live rates from the EmpirioLabs catalog for both models. Each rate card always matches what the API charges.

DeepSeek V4 Pro 0813 vs Kimi K3: API parameters

Request parameters each model lists on EmpirioLabs, with the allowed values or range where one applies. A dash marks a parameter the model does not list.

ParameterDeepSeek V4 Pro 0813Kimi K3
temperature0 to 2 Default: 0.7-
top_p0 to 1 Default: 0.9-
max_tokens1 to 3932161 to 1048576 Default: 131072
stopstringstring
enable_thinkingboolean Default: true-
reasoning_effortnone, low, medium, high, max Default: mediumlow, high, max Default: max
thinking_budget1 to 393216 Default: 32768-
response_formatenumenum
web_search_linkupboolean Default: false-
disable_formattingboolean Default: false-
tool_web_search-boolean Default: false
max_tool_calls-1 to 20 Default: 5

DeepSeek V4 Pro 0813 vs Kimi K3: limits and notes

DeepSeek V4 Pro 0813

Thinking is enabled by default and can be disabled. Reasoning tokens are billed as output tokens. Optional Linkup web search is billed only when invoked.

Kimi K3

Supports text, image, and video inputs with a 1M token context, function calling, JSON schema structured output, and built-in web search at $0.015 per invoked call. Thinking is always on; reasoning depth is tunable with the reasoning_effort control (max is recommended) and reasoning tokens are billed as output tokens. Temperature and other sampling settings are fixed by the model service. Multi-step function calling through the API must replay the assistant message with its reasoning_content field intact.

How to call DeepSeek V4 Pro 0813 and Kimi K3

DeepSeek V4 Pro 0813 serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id deepseek-v4-pro-0813. Both models are called through the same endpoint. Set model to deepseek-v4-pro-0813 or kimi-k3. Get an API key from the EmpirioLabs dashboard.

cURL
curl https://api.empiriolabs.ai/v1/chat/completions \
  -H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4-pro-0813",
    "messages": [
      {"role": "user", "content": "Write a haiku about the ocean."}
    ]
  }'

DeepSeek V4 Pro 0813 vs Kimi K3: tests and guides

Prompt tests and comparison runs that cover both models.

DeepSeek V4 Pro 0813 vs Kimi K3: common questions

What is the difference between DeepSeek V4 Pro 0813 and Kimi K3?

DeepSeek V4 Pro 0813 is the newer release (Aug 13, 2026); Kimi K3 was released on Jul 15, 2026. Both models have a context window of 1M tokens. DeepSeek V4 Pro 0813 returns up to 393,216 output tokens per response, Kimi K3 up to 131,072. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.

Which is newer, DeepSeek V4 Pro 0813 or Kimi K3?

DeepSeek V4 Pro 0813 is the newer release (Aug 13, 2026); Kimi K3 was released on Jul 15, 2026.

Which has the lower rate, DeepSeek V4 Pro 0813 or Kimi K3?

DeepSeek V4 Pro 0813 lists the lower rate for Input (per 1M prompt tokens) and Output (per 1M generated tokens). Both live rate cards are on this page and always match what the API charges.

Can I switch between DeepSeek V4 Pro 0813 and Kimi K3 without rebuilding my integration?

Yes. Both models use POST /v1/chat/completions with the same EmpirioLabs API key, so most integrations switch by changing the model value. Check the parameters table on this page first if you rely on a model-specific parameter.

Can I try DeepSeek V4 Pro 0813 and Kimi K3 in the browser before integrating?

Yes. Open each model in the EmpirioLabs playground and run the same prompt on both, with the parameters the API exposes.

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