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deepseek-v4-pro-0813 vs glm-5.2

Output tokens cost $0.93 per million on deepseek-v4-pro-0813 and $1.97 per million on glm-5.2. Input tokens cost $0.46 per million on deepseek-v4-pro-0813 and $0.56 per million on glm-5.2. Cached input tokens are billed at $0.00 per million on deepseek-v4-pro-0813 and $0.14 per million on glm-5.2. Discounted rates are shown where a promotion is active. Context lengths are 1,000,000 tokens on deepseek-v4-pro-0813 and 1,000,000 tokens on glm-5.2. Time to first token (TTFT) measured on AIHubMix is 2.0s on deepseek-v4-pro-0813 and 0.7s on glm-5.2. Measured output throughput is 59.0 tok/s on deepseek-v4-pro-0813 and 46.2 tok/s on glm-5.2.

DeepSeekdeepseek-v4-pro-0813Z.AIglm-5.2
+ Add model · 2/4
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$0.46 /M
Output$0.93 /M
Details
up to 50% off·14:00–23:59 UTC
Z.AI logo
glm-5.2
Z.AI · text → text

GLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it can handle project-level engineering context, execute long-running tasks more reliably, follow engineering standards more consistently, and complete the full development workflow from requirements to multi-platform deployment in a single task.

Input$1.13$0.56 /M
Output$3.94$1.97 /M
Details

Pricing & Specifications

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

deepseek-v4-pro-0813
glm-5.2
Input /M
$0.46
$1.13$0.56−50%
Output /M
$0.93
$3.94$1.97−50%
Cache read /M
$0.00
$0.28$0.14−50%
Context length
1,000,000
1,000,000
Max output
384,000
128,000
Time to First Token
2.0 s
0.7 s
Throughput
59.0 tok/s
46.2 tok/s
Modalities
text
text
Supported Parameters
toolsfunction callingstructured outputsthinking
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api

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.

deepseek-v4-pro-0813glm-5.2

Tokens / day

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Requests / day

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Performance Past 3 Days

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

deepseek-v4-pro-0813glm-5.2

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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Cost calculator

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

deepseek-v4-pro-0813
$41.76 /mo
glm-5.2
$127$63.38 /mo

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

FAQ

Which is cheaper: deepseek-v4-pro-0813, glm-5.2?

deepseek-v4-pro-0813: $0.93/M output tokens; glm-5.2: $1.97/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

glm-5.2: 0.7s 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?

deepseek-v4-pro-0813 accepts 1,000,000 and glm-5.2 accepts 1,000,000 input tokens. Maximum output per request is 384,000 tokens on deepseek-v4-pro-0813 and 128,000 tokens on glm-5.2.

Which one generates tokens faster?

deepseek-v4-pro-0813 at 59.0 tok/s and glm-5.2 at 46.2 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

deepseek-v4-pro-0813 accepts text input and supports tool calling, function calling, structured outputs and thinking; glm-5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.

Can I call deepseek-v4-pro-0813 and glm-5.2 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.

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