Type
Spec
Rate
Input
per 1M prompt tokens
$1.40
Output
per 1M generated tokens
$4.40
Web search
per request
$0.033
GLM 5.3 and DeepSeek V4 Pro 0813 side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.
Z.ai 
DeepSeek Text GenerationGLM 5.3 from Z.ai and DeepSeek V4 Pro 0813 from DeepSeek are both in the Text Generation category, available through the EmpirioLabs API.
| Spec | GLM 5.3 | DeepSeek V4 Pro 0813 |
|---|---|---|
| Model ID | glm-5-3 | deepseek-v4-pro-0813 |
| Author | Z.ai | DeepSeek |
| Released | Aug 14, 2026 | Aug 13, 2026 |
| Context window | 1M tokens | 1M tokens |
| Max output | 131,072 tokens | 393,216 tokens |
| Input | Text | Text |
| Output | Text | Text |
| Structured output | JSON Mode | JSON Schema |
| Region | Singapore | Singapore |
| Endpoints | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/glm-5-3:generateContent | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/deepseek-v4-pro-0813:generateContent |
| Capabilities |
Live rates from the EmpirioLabs catalog for both models. Each rate card always matches what the API charges.
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.
| Parameter | GLM 5.3 | DeepSeek V4 Pro 0813 |
|---|---|---|
| max_tokens | 1 to 131072 Default: 65536 | 1 to 393216 |
| temperature | 0 to 1 Default: 1 | 0 to 2 Default: 0.7 |
| top_p | 0.01 to 1 Default: 0.95 | 0 to 1 Default: 0.9 |
| reasoning_effort | low, high, max Default: max | none, low, medium, high, max Default: medium |
| preserve_thinking | boolean Default: false | - |
| do_sample | boolean Default: true | - |
| tool_web_search | boolean Default: false | - |
| search_recency_filter | oneDay, oneWeek, oneMonth, oneYear, noLimit Default: noLimit | - |
| count | 1 to 50 Default: 10 | - |
| search_domain_filter | string | - |
| search_prompt | string | - |
| search_result | boolean Default: true | - |
| tool_stream | boolean Default: false | - |
| tools | array Default: [] | - |
| tool_choice | object | - |
| stop | array | string |
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.
GLM 5.3 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 glm-5-3. Both models are called through the same endpoint. Set model to glm-5-3 or deepseek-v4-pro-0813. 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": "glm-5-3",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'Prompt tests and comparison runs that cover both models.
Guides Kimi K3 vs GLM 5.3 vs Qwen3.8 Max vs DeepSeek V4 Pro: self-playing Flappy Bird and Missile Command We gave Kimi K3, GLM 5.3, Qwen3.8 Max 0902 and DeepSeek V4 Pro 0813 the same two coding prompts at max reasoning, one... 
Guides Kimi K3 vs GLM 5.3 vs Qwen3.8 Max vs DeepSeek V4 Pro: an aquarium, a paper plane and a tiny planet We gave Kimi K3, GLM 5.3, Qwen3.8 Max 0902 and DeepSeek V4 Pro 0813 the same three coding prompts at max reasoning, one... 
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...GLM 5.3 is the newer release (Aug 14, 2026); DeepSeek V4 Pro 0813 was released on Aug 13, 2026. Both models have a context window of 1M tokens. DeepSeek V4 Pro 0813 returns up to 393,216 output tokens per response, GLM 5.3 up to 131,072. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.
GLM 5.3 is the newer release (Aug 14, 2026); DeepSeek V4 Pro 0813 was released on Aug 13, 2026.
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.
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.
Yes. Open each model in the EmpirioLabs playground and run the same prompt on both, with the parameters the API exposes.
Check out our pricing or reach out if you want your own model deployed on our stack.