Z.AI: GLM 5.3 API

glm-5.3

GLM 5.3 API is a text-to-text Z.AI model with a roughly 1.05M-token context, positioned for long documents, coding context, and tool-driven reasoning. ^[1]

The route reports reasoning, tool, structured-output, and sampling controls but no image input. GLM 5.3 API is not mapped to the current LLM2014 snapshot, so its page does not reuse either GLM 5.2 benchmark configuration. ^[1][2]

MODALITIES

Price$5.6 / $19.6 / 1MCONTEXT1.0486M

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.API_NEED_API_KEY,
  baseURL: "https://apineed.com/v1"
});

const result = await client.chat.completions.create({
  model: "glm-5.3",
  messages: [
    { role: "user", content: "Why is the sky blue?" }
  ]
});

console.log(result.choices[0].message.content);

Playground

Test GLM 5.3 API with representative production prompts before using glm-5.3 in a live workflow.

Providers

OpenRouter lists GLM 5.3 API with text input, text output, and a 1.048576M context window. APINEED routing and prepaid rates are identified separately. ^[1]

API Need30% off

Uptime

Total Context

1.0486M

Max Output

131.072K

Input

$5.6/ 1M

Output

$19.6/ 1M

Cache Read

$1.4/ 1M

Cache Write

Route priced

Discount

The GitaIGC channel anchor is $8 input, $28 output, and $2 cache read per million tokens. APINEED reduces those rates by 30%. The table compares official GLM 5.3 API pricing with the APINEED prepaid rate.

Official

Provider baseline

Input $8/ 1MOutput $28/ 1M

Baseline

APINEED30% off

Prepaid credits

Input $5.6/ 1MOutput $19.6/ 1M

Availability

APINEED continuously monitors GLM 5.3 API access and keeps requests on healthy capacity.

System statusLast 90 days

APINEED GATEWAY99.69% uptime

GLM 5.3 API Benchmarks

GLM 5.3 has no current mapped logic result. A fair comparison with GLM 5.2 requires identical prompts, reasoning settings, tool definitions, and output limits. The complete LLM2014 logic 2026-07 table remains below, with GLM 5.3 API highlighted when a current row exists. ^[2]


1st	GPT-5.5 (xhigh)	83.80	77.46	7.57%	494s	30,811	$25.51	$29.57
2nd	Kimi-K3 (max)	82.91	74.80	9.78%	1095s	39,912	$16.76	$15.00
3rd	Claude Opus 4.8 (xhigh)	82.62	66.70	19.27%	791s	41,833	$28.86	$24.64
4th	GPT-5.6 Sol (xhigh)	81.94	72.99	10.92%	369s	17,433	$14.43	$29.57
5th	Claude Opus 5 (xhigh)	78.38	71.88	8.29%	426s	26,392	$18.21	$24.64
6th	Qwen3.7-Max (xhigh)	74.56	66.95	10.21%	374s	54,207	$7.81	$5.14
7th	GLM-5.2 (max)	73.68	58.27	20.91%	890s	45,683	$5.12	$4.00
8th	Gemini 3.1 Pro (high)	73.36	58.46	20.31%	214s	25,905	$8.58	$11.83
9th	GPT-5.6 Luna (xhigh)	69.49	51.97	25.21%	242s	38,083	$6.31	$5.91
10th	DeepSeek V4 Pro (max)	68.00	49.97	26.51%	1468s	60,558	$1.45	$0.86
11th	Grok 4.5 (high)	67.59	56.72	16.08%	451s	43,372	$7.18	$5.91
12th	Muse Spark 1.1	66.18	57.23	13.52%	542s	42,416	$4.98	$4.19
13th	Gemini 3.5 Flash (high)	65.92	60.39	8.39%	188s	36,372	$9.03	$8.87
14th	Doubao-Seed-2.1-pro (high)	58.69	49.35	15.91%	2003s	85,059	$10.21	$4.29
15th	Qwen3.7-Plus (high)	58.50	44.09	24.63%	1237s	57,152	$1.83	$1.14
16th	Gemini 3.6 Flash (high)	56.87	41.74	26.6%	206s	26,329	$5.45	$7.39
17th	Tencent Hy3 (high)	54.42	44.60	18.04%	1035s	52,037	$0.83	$0.57
18th	Claude Sonnet 5 (xhigh)	51.37	43.14	16.02%	529s	44,118	$12.18	$9.86
19th	DeepSeek V4 Flash (max)	50.62	36.24	28.41%	611s	49,593	$0.40	$0.29
20th	MiniMax-M3	49.18	40.94	16.75%	985s	56,467	$1.90	$1.20
21st	Claude Opus 5	42.08	31.73	24.6%	154s	10,180	$7.02	$24.64
22nd	Claude Opus 4.6	36.88	25.79	30.07%	65s	4,387	$3.03	$24.64
23rd	Doubao-Seed-2.0-lite 0428 (high)	35.32	26.77	24.21%	656s	26,726	$0.38	$0.51
24th	Gemini 3.5 Flash (minimal)	33.24	22.22	33.15%	44s	6,189	$1.54	$8.87
25th	Ling-3.0-flash	32.53	20.62	36.61%	688s	86,204	$0.00	$0.00
26th	Gemini 3.5 Flash Lite (high)	30.23	22.82	24.51%	188s	18,297	$1.26	$2.46
27th	GPT-5.5 Instant	28.87	17.66	38.83%	25s	1,673	$1.39	$29.57
28th	Gemma 4 31B	27.91	22.04	21.03%	770s	15,050	$0.17	$0.39
29th	MiMo-V2.5-Pro	26.91	13.00	51.69%	478s	29,443	$0.71	$0.86
30th	Qwen3.7-Plus	26.19	16.23	38.03%	314s	8,692	$0.28	$1.14
31st	Step-3.7-Flash	26.18	13.74	47.52%	258s	44,912	$1.46	$1.16
32nd	Qwen3.5-27B	24.96	17.98	27.96%	451s	26,391	$0.51	$0.69
33rd	Gemini 3.1 Flash Lite (high)	23.78	14.30	39.87%	82s	28,351	$1.17	$1.48
34th	Claude Sonnet 5	23.64	10.86	54.06%	109s	5,962	$1.65	$9.86
35th	Qwen3.7-Max	22.45	18.53	17.46%	196s	6,710	$0.97	$5.14
36th	ERNIE 5.1	20.49	15.49	24.4%	457s	24,093	$1.73	$2.57
37th	openPangu-2.0-Flash	19.83	10.76	45.74%	571s	28,199	$0.18	$0.23
38th	LongCat-2.0	19.40	9.74	49.79%	395s	14,886	$0.48	$1.14
39th	DeepSeek V4 Flash	19.39	13.37	31.05%	63s	5,286	$0.04	$0.29
40th	Mistral Medium 3.5	18.44	13.87	24.78%	194s	27,854	$5.77	$7.39
41st	Doubao-Seed-2.1-pro	17.49	9.74	44.31%	305s	6,009	$0.72	$4.29
42nd	GLM-5.2	14.80	10.43	29.53%	23s	953	$0.11	$4.00
43rd	Ling-2.6-1T	13.05	8.39	35.71%	229s	4,770	$0.31	$2.29
44th	iFLYTEK Spark X2	12.39	6.21	49.88%	458s	11,285	$0.09	$0.29
45th	Gemini 3.1 Flash Lite	11.79	10.28	12.81%	9s	773	$0.03	$1.48
46th	Mistral Medium 3.5	10.83	7.13	34.16%	17s	2,546	$0.53	$7.39
47th	Ling-2.6-flash	10.07	4.85	51.84%	25s	4,997	$0.04	$0.30

Quick Start

Connect GLM 5.3 API without changing the OpenAI-style request shape. Use glm-5.3 for long text collections and agents where its tool contract has been validated. Route image or file payloads to a model whose catalog explicitly lists those modalities.

Get your API key

Create an APINEED key for GLM 5.3 API and keep it in an environment variable.

export API_NEED_API_KEY=sk-apineed-v1-...

Make your first request

Use glm-5.3 for GLM 5.3 API with the APINEED API. The request shape is compatible with OpenAI chat completions, so most SDKs only need a base URL change.

TypeScript SDKPythoncURLOpenAI SDK

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.API_NEED_API_KEY,
  baseURL: "https://apineed.com/v1"
});

const result = await client.chat.completions.create({
  model: "glm-5.3",
  messages: [
    { role: "user", content: "Why is the sky blue?" }
  ]
});

console.log(result.choices[0].message.content);

Enable streaming and fallbacks

Add stream: true when GLM 5.3 API should return server-sent events. APINEED keeps routing, provider health, and fallback handling behind the same endpoint.

curl https://apineed.com/v1/chat/completions \
  -H "Authorization: Bearer $API_NEED_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.3",
    "stream": true,
    "messages": [{ "role": "user", "content": "Hello" }]
  }'

GLM 5.3 API Endpoint

GLM 5.3 API accepts chat conversations here with streaming or non-streaming text output; the supported controls are listed on this page.

POST/v1/chat/completions

Authorization: Bearer $API_NEED_API_KEY
Content-Type: application/json
HTTP-Referer: optional - your site URL, for rankings
X-Title: optional - your site name, for rankings
Model: glm-5.3

Parameters

GLM 5.3 API parameters currently listed for glm-5.3 by the OpenRouter Models API. ^[1]

Name	Type	Status	Description
`include_reasoning`	boolean	Supported	Includes reasoning content in the response when available.
`max_tokens`	integer	Supported	Limits generated output tokens.
`reasoning`	object	Supported	Controls reasoning behavior and token allocation.
`reasoning_effort`	enum	Supported	Selects the model reasoning effort.
`response_format`	object	Supported	Requests a specific response format.
`temperature`	number	Supported	Controls sampling randomness.
`tool_choice`	string or object	Supported	Controls which tool the model may call.
`tools`	array	Supported	Defines tools available to the model.
`top_k`	integer	Supported	Restricts sampling to the highest-probability tokens.
`top_p`	number	Supported	Controls nucleus sampling.

GLM 5.3 API Q&A

Model-specific answers for teams comparing GLM 5.3 API on capability, benchmark evidence, integration, and cost.

Does GLM 5.3 API have a verified logic rank here?

No. The current benchmark mapping contains GLM 5.2 rows but no GLM 5.3 row, and APINEED does not treat them as interchangeable.

Can GLM 5.3 API receive images or files?

No. Its current catalog modality is text input to text output, so non-text evidence should use another verified route.

How much is GLM 5.3 API output through APINEED?

See the live pricing table above for the current API Need input and output prices for glm-5.3.

What should a GLM 5.3 rollout measure?

For GLM 5.3 API, measure long-context retrieval, tool reliability, structured-output validity, latency, generated tokens, and failure handling on production-shaped prompts.

Which endpoint serves GLM 5.3 API?

Call GLM 5.3 API through https://apineed.com/v1/chat/completions with glm-5.3 as the model value. Existing OpenAI SDK clients usually need only the APINEED base URL and key.

How do I validate GLM 5.3 API before release?

Evaluate GLM 5.3 API on representative prompts, record quality, latency, and token use, then choose reasoning settings and fallbacks from those results.

How to Deploy the GLM 5.3 API on apineed.com

Deploy GLM 5.3 API through APINEED after validating its model-specific trade-offs above. The API key, credit, and endpoint flow stays consistent across the catalog.

Add credits for GLM 5.3 API

Add credits on APINEED before deploying the GLM 5.3 API. Pay-as-you-go billing lets usage start small and scale with production traffic.

Get your API key

Create an APINEED API key for the GLM 5.3 API. The same key can call GLM 5.3 and other AI APIs through apineed.com.

Set the model slug

Use glm-5.3 as the model value when you deploy the GLM 5.3 API. Keep the APINEED base URL at https://apineed.com/v1.

Send a request to GLM 5.3 API

Send chat completions or responses to the GLM 5.3 API from Claude Code, Codex, or any custom agent. The request keeps its OpenAI-compatible shape.

More models from Z.AI

GLM 5.2z-ai/glm-5.2