← Models

Coding GLM 5.3 vs DeepSeek V4 Pro 0813

Compare Coding GLM 5.3 from Z.AI and DeepSeek V4 Pro 0813 from DeepSeek on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

Z.AICoding GLM 5.3DeepSeekDeepSeek V4 Pro 0813
Z.AI logo
Coding GLM 5.3
Z.AI · text → text

GLM-5.3 is Z.ai’s reasoning model for coding and agentic workflows, designed for complex software engineering, long-running agents, and vulnerability analysis. It uses the same base model as GLM-5.2, with scaled post-training improving coding, task execution, and token efficiency. This model is a limited-time preview version of GLM-5.3, intended for testing and evaluation only. Service stability is not guaranteed, and we do not recommend using it in production environments. We’re waiting for the official commercial API release and will integrate it as soon as official support becomes available.

Input$0.06 /M
Output$0.22 /M
Cache read$0.015 /M
DeepSeek logo
DeepSeek V4 Pro 0813
DeepSeek · text → text

DeepSeek V4 Pro 0813 is DeepSeek’s high-performance general-purpose reasoning and agent model, designed for complex reasoning, coding, long-document analysis, and agentic workflows. It supports thinking and non-thinking modes, a 1M-token context window, up to 384K output, tool calling, and the Responses API. Compared with V4 Flash 0731, Pro prioritizes capability on complex tasks, while Flash focuses on speed, cost efficiency, and high concurrency.

Input$0.6918 /M
Output$2.0754 /M
Cache read$0.023 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

Coding GLM 5.3
DeepSeek V4 Pro 0813
Input /M
$0.06
$0.6918
Output /M
$0.22
$2.0754
Cache read /M
$0.015
$0.023
Context length
1,048,576
1,000,000
Max output
131,072
384,000
Time to First Token
5.9 s
0.9 s
Throughput
37.2 tok/s
31.4 tok/s
Modalities
text
text
Supported Parameters
thinkingtoolsfunction callingstructured outputs
toolsfunction callingstructured outputsthinking
API Formats
chat_completions · claude_api
Released
August 14, 2026
August 13, 2026

Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

coding-glm-5.3deepseek-v4-pro-0813

Tokens / day

-

Requests / day

-

Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

coding-glm-5.3deepseek-v4-pro-0813

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

Cost calculator

Estimate your monthly bill for the same workload on each model.

Coding GLM 5.3
$6.90 /mo
DeepSeek V4 Pro 0813
$72.64 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: Coding GLM 5.3, DeepSeek V4 Pro 0813?

Coding GLM 5.3: $0.22/M output tokens; DeepSeek V4 Pro 0813: $2.0754/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

DeepSeek V4 Pro 0813: 0.9s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

Coding GLM 5.3 accepts 1,048,576 and DeepSeek V4 Pro 0813 accepts 1,000,000 input tokens. Maximum output per request is 131,072 tokens on Coding GLM 5.3 and 384,000 tokens on DeepSeek V4 Pro 0813.

Which one generates tokens faster?

Coding GLM 5.3 at 37.2 tok/s and DeepSeek V4 Pro 0813 at 31.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

Coding GLM 5.3 accepts text input and supports thinking, tool calling, function calling and structured outputs; DeepSeek V4 Pro 0813 accepts text input and supports tool calling, function calling, structured outputs and thinking.

Can I call Coding GLM 5.3 and DeepSeek V4 Pro 0813 with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

Popular comparisons

Related model match-ups readers also look at.