DeepSeek V4 Pro 0813 vs Qwen3.8 Max

DeepSeek V4 Pro 0813 vs Qwen3.8 Max at a glance

DeepSeek V4 Pro 0813 from DeepSeek and Qwen3.8 Max from Alibaba Cloud 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); Qwen3.8 Max was released on Aug 3, 2026.
• DeepSeek V4 Pro 0813 has the larger context window: 1M tokens, against 983.6K for Qwen3.8 Max.
• DeepSeek V4 Pro 0813 returns up to 393,216 output tokens per response, Qwen3.8 Max up to 131,072.
• Input types only Qwen3.8 Max accepts: Image, Video.
• Capabilities listed only for Qwen3.8 Max: vision, multimodal, web search, code interpreter.
• 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 Qwen3.8 Max: specs

DeepSeek V4 Pro 0813 vs Qwen3.8 Max: 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 Qwen3.8 Max: 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.

DeepSeek V4 Pro 0813 vs Qwen3.8 Max: 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.

Qwen3.8 Max

Text, image, and video input are supported. Web search, web extractor, code interpreter, text-to-image search, and image-to-image search are optional built-in tools exposed through tool_* parameters. Web search, text-to-image search, and image-to-image search add $0.02 for each invoked call; web extractor and code interpreter run at no extra cost. Web extractor requires web search, and both web extractor and code interpreter require thinking. A single request can invoke a tool more than once, and each invoked call is billed. Thinking tokens are billed as output tokens. The qwen3-8-max id always serves the current Qwen3.8 Max build and moves with Alibaba's snapshot upgrades; since September 5, 2026 it serves the qwen3-8-max-0902 snapshot. Use qwen3-8-max-0902 when output must stay pinned to that exact snapshot.

How to call DeepSeek V4 Pro 0813 and Qwen3.8 Max

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 qwen3-8-max. Get an API key from the EmpirioLabs dashboard.

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 Qwen3.8 Max: tests and guides

Prompt tests and comparison runs that cover both models.

Guides Kimi K3 vs GLM 5.3 vs Qwen3.8 Max vs DeepSeek V4 Pro: four one-shot coding tests We gave Kimi K3, GLM 5.3, Qwen3.8 Max and DeepSeek V4 Pro 0813 the same four coding prompts at max reasoning, one shot...

DeepSeek V4 Pro 0813 vs Qwen3.8 Max: common questions

What is the difference between DeepSeek V4 Pro 0813 and Qwen3.8 Max?

DeepSeek V4 Pro 0813 is the newer release (Aug 13, 2026); Qwen3.8 Max was released on Aug 3, 2026. DeepSeek V4 Pro 0813 has the larger context window: 1M tokens, against 983.6K for Qwen3.8 Max. DeepSeek V4 Pro 0813 returns up to 393,216 output tokens per response, Qwen3.8 Max 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 Qwen3.8 Max?

DeepSeek V4 Pro 0813 is the newer release (Aug 13, 2026); Qwen3.8 Max was released on Aug 3, 2026.

Which has the lower rate, DeepSeek V4 Pro 0813 or Qwen3.8 Max?

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 Qwen3.8 Max 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 Qwen3.8 Max 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.