Models

GLM 5.3 vs GLM 5.3 Flash

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

Z.AIGLM 5.3Z.AIGLM 5.3 Flash
10% off
Z.AI logo
GLM 5.3
Z.AI · text → text

GLM-5.3 is Z.AI’s coding and agentic reasoning model, built for complex software engineering, long-running agent tasks, vulnerability analysis, and other demanding workloads. Building on GLM-5.2, it incorporates further post-training improvements to deliver stronger coding performance, better task execution, and greater token efficiency. We currently offer the production-ready GLM-5.3 API with unlimited concurrency, making it well suited for high-throughput workloads, coding agents, and large-scale automation. For a limited time, GLM-5.3 is available at 10% off.

Input$1.13$1.01 /M
Output$3.94$3.55 /M
50% off
Z.AI logo
GLM 5.3 Flash
Z.AI · text, image, video → text

GLM-5.3-Flash is a high-efficiency multimodal model from Z.AI. It supports a context window of roughly 1 million tokens, along with text, image, and video inputs, and includes tool-calling capabilities. It is primarily designed for coding agents, complex reasoning, and long-horizon software engineering tasks. Built on the existing GLM technology stack, the model has been further post-trained and optimized to deliver strong performance while placing greater emphasis on inference efficiency, responsiveness, and cost.The model is offered at a limited-time 50% discount; users are welcome to try it.

Input$0.11$0.06 /M
Output$0.39$0.20 /M

Pricing & Specifications

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

GLM 5.3
GLM 5.3 Flash
Input /M
$1.13$1.0110%
$0.11$0.0650%
Output /M
$3.94$3.5510%
$0.39$0.2050%
Cache read /M
$0.28$0.2510%
$0.03$0.0150%
Context length
1,000,000
1,000,000
Max output
128,000
128,000
Time to First Token
1.5 s
4.5 s
Throughput
49.5 tok/s
134.3 tok/s
Modalities
text
textimagevideo
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingtoolsfunction callingstructured outputs
API Formats
Released
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August 26, 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.

glm-5.3glm-5.3-flash

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.

glm-5.3glm-5.3-flash

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.

GLM 5.3 Flash
$13$6.34 /mo
GLM 5.3
$127$114 /mo

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

FAQ

Which is cheaper: GLM 5.3, GLM 5.3 Flash?

GLM 5.3 Flash: $0.20/M output tokens; GLM 5.3: $3.55/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

GLM 5.3: 1.5s 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?

GLM 5.3 accepts 1,000,000 and GLM 5.3 Flash accepts 1,000,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.3 and 128,000 tokens on GLM 5.3 Flash.

Which one generates tokens faster?

GLM 5.3 Flash at 134.3 tok/s and GLM 5.3 at 49.5 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

GLM 5.3 accepts text input and supports thinking, tool calling, function calling and structured outputs; GLM 5.3 Flash accepts text, image and video input and supports thinking, tool calling, function calling and structured outputs.

Can I call GLM 5.3 and GLM 5.3 Flash 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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