Was ZAI GLM-5.3 Flash the stealth model Ox Alpha?

Yes, the stealth model Ox Alpha was revealed to be ZAI's new model, GLM-5.3 Flash.

Where is the GLM 5.3 Flash documentation?

The GLM 5.3 Flash documentation on OpenRouter includes the Open-Weight vs Closed-Weight Models: What's the Difference? blog post. The quickstart covers API keys and your first request, and the API reference lists every parameter.

How much does GLM 5.3 Flash cost?

GLM 5.3 Flash costs $0.0399/M input tokens and $0.0784/M output tokens, with separate rates for Cache Read at $0.03/M tokens.

What is the context length of GLM 5.3 Flash?

GLM 5.3 Flash has a 1,048,576 token context window. It supports up to 131,072 completion tokens.

Does GLM 5.3 Flash support tool calling and structured outputs?

Yes. GLM 5.3 Flash accepts tools for function calling. It also supports structured outputs via a JSON schema in response_format.

What inputs and outputs does GLM 5.3 Flash support?

GLM 5.3 Flash accepts text, images, and video as input and returns text.

Which providers serve GLM 5.3 Flash?

GLM 5.3 Flash is served by 37 providers on OpenRouter: Relace, Wafer, Open Inference, Darkbloom, Tenstorrent, GMICloud, NEAR AI, NovitaAI and 29 more. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

When was GLM 5.3 Flash released?

GLM 5.3 Flash was released on August 26, 2026.

Z.ai: GLM 5.3 Flash

z-ai/glm-5.3-flash

Model weights

Compare

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while reducing compute overhead.

Modalities

In / out price

$0.0399 / $0.0784per 1M

Context

1.0M

Released

Aug 26, 2026

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Latency / throughput


	$0.06	$0.30	$0.03	0.71s	121 tok/s	99.90%
	$0.15	$0.50	$0.03	0.69s	155 tok/s	99.70%
	$0.12	$0.50	$0.04	0.60s	176 tok/s	100.00%
	$0.0399	$0.0784	$0.03	0.52s	101 tok/s	100.00%
	$0.15	$0.50	$0.03	0.43s	124 tok/s	100.00%
	$0.042	$0.184	$0.041	0.39s	117 tok/s	98.97%
	$0.1125	$0.375	$0.03	0.75s	132 tok/s	100.00%
	$0.15	$0.50	$0.03	0.42s	146 tok/s	99.55%
	$0.15	$0.50	$0.03	0.32s	127 tok/s	100.00%
	$0.15	$0.50	$0.03	0.54s	143 tok/s	99.70%
	$0.108	$0.35	$0.035	0.31s	118 tok/s	100.00%
	$0.14	$0.24	$0.03	0.55s	93 tok/s	99.56%
	$0.10	$0.50	$0.03	1.22s	111 tok/s	98.49%
	$0.108	$0.35	$0.035	0.35s	106 tok/s	100.00%
	$0.065	$0.24	$0.064	0.38s	119 tok/s	98.39%
	$0.15	$0.50	$0.03	1.02s	98 tok/s	100.00%
	$0.12	$0.30	$0.03	0.81s	95 tok/s	100.00%
	$0.175	$0.47	$0.04	0.48s	120 tok/s	100.00%
	$0.15	$0.50	$0.03	1.03s	104 tok/s	100.00%
	$0.15	$0.50	$0.03	1.49s	98 tok/s	99.93%
	$0.15	$0.50	$0.03	0.90s	96 tok/s	99.84%
	$0.12	$0.40	$0.024	0.80s	65 tok/s	100.00%
	$0.15	$0.50	$0.03	0.78s	83 tok/s	100.00%
41% off	$0.15$0.0885	$0.50$0.295	$0.03$0.0177	1.56s	56 tok/s	98.65%
	$0.12	$0.45	$0.03	0.82s	70 tok/s	100.00%
	$0.15	$0.50	$0.03	1.97s	80 tok/s	98.94%
50% off	$0.15$0.075	$0.50$0.25	$0.03$0.015	1.57s	44 tok/s	99.97%
	$0.08	$0.50	$0.012	0.71s	36 tok/s	99.95%
	$0.10	$0.40	$0.03	1.36s	39 tok/s	98.72%
44% off	$0.15$0.084	$0.50$0.28	$0.03$0.0168	2.79s	39 tok/s	100.00%
	$0.15	$0.50	$0.03	2.59s	45 tok/s	100.00%
	$0.175	$0.625	$0.0225	0.95s	45 tok/s	100.00%
	$0.099	$0.105	$0.042	1.26s	25 tok/s	99.02%
	$0.175	$0.625	$0.0225	2.23s	48 tok/s	99.89%
	$0.15	$0.50	$0.03	6.38s	33 tok/s	98.83%
	$0.12	$0.38	$0.02	0.57s	169 tok/s	94.77%
	$0.15	$0.50	$0.03	0.49s	115 tok/s	99.67%
Fast	$0.1875	$0.625	$0.0375	0.89s	109 tok/s	99.94%
	$0.075	$0.25	$0.015	2.05s	50 tok/s	99.72%
	$0.15	$0.50	$0.03	1.75s	65 tok/s	97.17%
	$0.065	$0.18	$0.012	3.98s	14 tok/s	92.48%
	$0.225	$0.75	$0.045	2.08s	98 tok/s	97.57%

Input $0.06Output $0.30
121 tok/s99.90% uptime
Input $0.15Output $0.50
155 tok/s99.70% uptime
Input $0.12Output $0.50
176 tok/s100.00% uptime
Input $0.0399Output $0.0784
101 tok/s100.00% uptime
Input $0.15Output $0.50
124 tok/s100.00% uptime
Input $0.042Output $0.184
117 tok/s98.97% uptime
Input $0.1125Output $0.375
132 tok/s100.00% uptime
Input $0.15Output $0.50
146 tok/s99.55% uptime
Input $0.15Output $0.50
127 tok/s100.00% uptime
Input $0.15Output $0.50
143 tok/s99.70% uptime
Input $0.108Output $0.35
118 tok/s100.00% uptime
Input $0.14Output $0.24
93 tok/s99.56% uptime
Input $0.10Output $0.50
111 tok/s98.49% uptime
Input $0.108Output $0.35
106 tok/s100.00% uptime
Input $0.065Output $0.24
119 tok/s98.39% uptime
Input $0.15Output $0.50
98 tok/s100.00% uptime
Input $0.12Output $0.30
95 tok/s100.00% uptime
Input $0.175Output $0.47
120 tok/s100.00% uptime
Input $0.15Output $0.50
104 tok/s100.00% uptime
Input $0.15Output $0.50
98 tok/s99.93% uptime
Input $0.15Output $0.50
96 tok/s99.84% uptime
Input $0.12Output $0.40
65 tok/s100.00% uptime
Input $0.15Output $0.50
83 tok/s100.00% uptime
Input $0.0885Output $0.295
41% off
56 tok/s98.65% uptime
Input $0.12Output $0.45
70 tok/s100.00% uptime
Input $0.15Output $0.50
80 tok/s98.94% uptime
Input $0.075Output $0.25
50% off
44 tok/s99.97% uptime
Input $0.08Output $0.50
36 tok/s99.95% uptime
Input $0.10Output $0.40
39 tok/s98.72% uptime
Input $0.084Output $0.28
44% off
39 tok/s100.00% uptime
Input $0.15Output $0.50
45 tok/s100.00% uptime
Input $0.175Output $0.625
45 tok/s100.00% uptime
Input $0.099Output $0.105
25 tok/s99.02% uptime
Input $0.175Output $0.625
48 tok/s99.89% uptime
Input $0.15Output $0.50
33 tok/s98.83% uptime
Input $0.12Output $0.38
169 tok/s94.77% uptime
Input $0.15Output $0.50
115 tok/s99.67% uptime
Input $0.1875Output $0.625
Fast
109 tok/s99.94% uptime
Input $0.075Output $0.25
50 tok/s99.72% uptime
Input $0.15Output $0.50
65 tok/s97.17% uptime
Input $0.065Output $0.18
14 tok/s92.48% uptime
Input $0.225Output $0.75
98 tok/s97.57% uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0.04485/M tokens

Output

$0.4076/M tokens

GLM 5.3 Flash — Price history

Price history

No effective price data for this selection

	$0.0208	$0.2505	90.4%	0.5%
	$0.0259	$0.4995	79.6%	1.5%
	$0.0311	$0.0778	89.0%	5.0%
	$0.0326	$0.2997	91.2%	4.8%
	$0.0327	$0.3792	87.2%	11.4%
	$0.0341	$0.4997	96.6%	0.4%
	$0.0353	$0.3994	88.2%	1.0%
	$0.0377	$0.4999	89.0%	1.4%
	$0.0387	$0.3493	95.1%	7.2%
	$0.0388	$0.3995	87.4%	0.3%
	$0.0412	$0.1832	80.3%	3.4%
	$0.0416	$0.4994	90.3%	4.1%
	$0.0417	$0.4997	90.2%	2.4%
	$0.0433	$0.3035	68.5%	2.2%
	$0.0446	$0.3493	86.9%	0.9%
	$0.0452	$0.4996	87.4%	8.4%
	$0.0456	$0.4996	87.0%	11.3%
	$0.0473	$0.4493	80.8%	0.0%
	$0.0474	$0.2392	84.1%	1.6%
	$0.0475	$0.4996	90.6%	9.4%
	$0.0476	$0.4997	85.3%	0.2%
	$0.0485	$0.3744	77.6%	3.1%
	$0.0499	$0.4996	83.4%	0.2%
	$0.0511	$0.2992	76.6%	0.5%
	$0.0512	$0.1056	84.5%	1.7%
	$0.0515	$0.2946	52.1%	0.5%
	$0.0544	$0.1791	20.0%	0.0%
	$0.0546	$0.4996	79.5%	3.3%
	$0.0564	$0.4996	78.0%	0.7%
	$0.0569	$0.2499	30.2%	0.1%
	$0.0570	$0.4999	77.5%	0.0%
	$0.0595	$0.4996	75.4%	0.4%
	$0.0606	$0.4998	74.5%	1.6%
	$0.0628	$0.4995	72.6%	0.5%
	$0.0641	$0.4998	71.6%	6.5%
	$0.0642	$0.2395	71.4%	0.4%
	$0.0657	$0.4693	80.9%	1.0%
Fast	$0.0868	$0.6245	67.1%	0.1%
	$0.1058	$0.7497	66.2%	1.4%
	$0.1089	$0.4995	34.2%	0.3%
	$0.1429	$0.6245	20.9%	0.0%
	$0.1552	$0.6245	12.9%	0.0%

Effective in $0.0208Effective out $0.2505
Token share
0.5%
Effective in $0.0259Effective out $0.4995
Token share
1.5%
Effective in $0.0311Effective out $0.0778
Token share
5.0%
Effective in $0.0326Effective out $0.2997
Token share
4.8%
Effective in $0.0327Effective out $0.3792
Token share
11.4%
Effective in $0.0341Effective out $0.4997
Token share
0.4%
Effective in $0.0353Effective out $0.3994
Token share
1.0%
Effective in $0.0377Effective out $0.4999
Token share
1.4%
Effective in $0.0387Effective out $0.3493
Token share
7.2%
Effective in $0.0388Effective out $0.3995
Token share
0.3%
Effective in $0.0412Effective out $0.1832
Token share
3.4%
Effective in $0.0416Effective out $0.4994
Token share
4.1%
Effective in $0.0417Effective out $0.4997
Token share
2.4%
Effective in $0.0433Effective out $0.3035
Token share
2.2%
Effective in $0.0446Effective out $0.3493
Token share
0.9%
Effective in $0.0452Effective out $0.4996
Token share
8.4%
Effective in $0.0456Effective out $0.4996
Token share
11.3%
Effective in $0.0473Effective out $0.4493
Token share
0.0%
Effective in $0.0474Effective out $0.2392
Token share
1.6%
Effective in $0.0475Effective out $0.4996
Token share
9.4%
Effective in $0.0476Effective out $0.4997
Token share
0.2%
Effective in $0.0485Effective out $0.3744
Token share
3.1%
Effective in $0.0499Effective out $0.4996
Token share
0.2%
Effective in $0.0511Effective out $0.2992
Token share
0.5%
Effective in $0.0512Effective out $0.1056
Token share
1.7%
Effective in $0.0515Effective out $0.2946
Token share
0.5%
Effective in $0.0544Effective out $0.1791
Token share
0.0%
Effective in $0.0546Effective out $0.4996
Token share
3.3%
Effective in $0.0564Effective out $0.4996
Token share
0.7%
Effective in $0.0569Effective out $0.2499
Token share
0.1%
Effective in $0.0570Effective out $0.4999
Token share
0.0%
Effective in $0.0595Effective out $0.4996
Token share
0.4%
Effective in $0.0606Effective out $0.4998
Token share
1.6%
Effective in $0.0628Effective out $0.4995
Token share
0.5%
Effective in $0.0641Effective out $0.4998
Token share
6.5%
Effective in $0.0642Effective out $0.2395
Token share
0.4%
Effective in $0.0657Effective out $0.4693
Token share
1.0%
Effective in $0.0868Effective out $0.6245
FastToken share
0.1%
Effective in $0.1058Effective out $0.7497
Token share
1.4%
Effective in $0.1089Effective out $0.4995
Token share
0.3%
Effective in $0.1429Effective out $0.6245
Token share
0.0%
Effective in $0.1552Effective out $0.6245
Token share
0.0%

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Throughput

176tok/s

P50, best across providers

Latency

0.31s

P50, best provider

Reasoning effortLatency / throughput

AutoExacto benchmarks

GPQA DiamondTAU-BenchDarkbloom92.5%--inference.net88.1%78.0%Z.ai88.2%77.4%DigitalOcean87.8%76.6%Baseten82.2%--inference.net (US)87.2%75.2%Baseten82.7%75.5%

+36 more providers

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

99.86%

Availability over the last 3 days

Last 72 hours

Availability 99.86%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.85%

Without Routing

97.73%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Z.ai: GLM 5.3 Flash (Artificial Analysis, Design Arena and Vals AI)
Source	Benchmark	Score
Artificial Analysis	GLM-5.3-Flash Intelligence Index	27.8
Artificial Analysis	GLM-5.3-Flash Coding Index	71.5
Artificial Analysis	GLM-5.3-Flash Agentic Index	50.9
Artificial Analysis	GLM-5.3-Flash GPQA Diamond	91.2%
Artificial Analysis	GLM-5.3-Flash HLE	39.9%
Artificial Analysis	GLM-5.3-Flash AA-LCR	80.0%
Artificial Analysis	GLM-5.3-Flash τ-Bench Banking	47.2%
Artificial Analysis	GLM-5.3-Flash GDPval-AA	57.4%
Artificial Analysis	GLM-5.3-Flash CritPt	15.4%
Artificial Analysis	GLM-5.3-Flash SciCode	51.6%
Artificial Analysis	GLM-5.3-Flash Terminal-Bench 4.0	32.8%
Artificial Analysis	GLM-5.3-Flash Terminal-Bench 2.1	84.3%
Artificial Analysis	GLM-5.3-Flash AA-Omniscience Accuracy	28.2%
Artificial Analysis	GLM-5.3-Flash AA-Omniscience Non-Hallucination Rate	61.7%
Design Arena	GLM-5.3-Flash Models Arena 3D Elo	1293
Design Arena	GLM-5.3-Flash Models Arena Asciiart Elo	1269
Design Arena	GLM-5.3-Flash Models Arena Code Categories Elo	1267
Design Arena	GLM-5.3-Flash Models Arena Data Visualization Elo	1258
Design Arena	GLM-5.3-Flash Models Arena Game Development Elo	1266
Design Arena	GLM-5.3-Flash Models Arena SVG Elo	1271
Design Arena	GLM-5.3-Flash Models Arena UI Component Elo	1296
Design Arena	GLM-5.3-Flash Models Arena Website Elo	1257
Vals AI	GLM 5.3 Flash Access to Justice Benchmark	71.1%
Vals AI	GLM 5.3 Flash Code Migration v1.1	51.6%
Vals AI	GLM 5.3 Flash CyberBench v1.1	67.9%
Vals AI	GLM 5.3 Flash CyberOffense	18.3%
Vals AI	GLM 5.3 Flash EMB v1.1	66.3%
Vals AI	GLM 5.3 Flash Finance Agent v2.1	60.6%
Vals AI	GLM 5.3 Flash Vals Finance Index	55.8%
Vals AI	GLM 5.3 Flash GPQA Diamond	86.4%
Vals AI	GLM 5.3 Flash HLAB-Vals-1.1	10.4%
Vals AI	GLM 5.3 Flash IOI	52.5%
Vals AI	GLM 5.3 Flash LiveCodeBench	80.5%
Vals AI	GLM 5.3 Flash LegalBench	83.9%
Vals AI	GLM 5.3 Flash Vals Legal Index	71.1%
Vals AI	GLM 5.3 Flash Legal Research Bench	45.2%
Vals AI	GLM 5.3 Flash MedScribe	88.9%
Vals AI	GLM 5.3 Flash MMLU Pro	86.1%
Vals AI	GLM 5.3 Flash MMMU Pro	86.0%
Vals AI	GLM 5.3 Flash ProgramBench	0.0%
Vals AI	GLM 5.3 Flash ProofBench v1.1	21.0%
Vals AI	GLM 5.3 Flash SAGE	89.3%
Vals AI	GLM 5.3 Flash SkillsBench	40.2%
Vals AI	GLM 5.3 Flash SRE Bench	0.8%
Vals AI	GLM 5.3 Flash SWE-bench	92.0%
Vals AI	GLM 5.3 Flash Tax Agent Bench	31.6%
Vals AI	GLM 5.3 Flash TaxEval v2	75.6%
Vals AI	GLM 5.3 Flash Terminal-Bench 4.0	37.4%
Vals AI	GLM 5.3 Flash Terminal-Bench-Science	2.9%
Vals AI	GLM 5.3 Flash Vals Index	50.9%
Vals AI	GLM 5.3 Flash Vibe Code Bench 1-100	16.0%
Vals AI	GLM 5.3 Flash Vibe Code Bench v1.1	30.8%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Claude Code

Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.

6.86Ttokens

Hermes Agent

Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.

3.58Ttokens

Portkey AI

Control panel for AI apps

3.37Ttokens

There are many coding agents, but this one is yours.

1.54Ttokens

Lemonade

The AI tool for Roblox games.

1.12Ttokens

Rest of OpenRouter

645B

Top 5 Apps

401B

Z.ai: GLM Flash versions

Available through EU in-region routing

Z.ai: GLM 5.3 Flash is available through EU in-region routing. Requests sent to eu.openrouter.ai are decrypted in the EU and routed only to shared provider endpoints in Europe (the EU/EEA, the UK, and Switzerland).

Providers in Europe

Inceptron

Prices in Europe

Inceptron: $0.175/M tokens input, $0.47/M tokens output

Base URL

https://eu.openrouter.ai/api/v1

Plan

Requires Business or Enterprise. Self-serve on Business: no contract, no monthly minimum. OpenRouter Business for EU in-region routing

Fails closed: if no shared provider endpoint in Europe is available, the request errors instead of leaving the region. Requests served by your own BYOK key go to your deployment’s region, which you control. In-region routing docs

More models from Z.ai

GLM 5.3 FlashX Legal

GLM-5.3-FlashX-Legal (GLM-Legal) is Z.ai's legal-domain variant of GLM-5.3-FlashX, a native multimodal model that accepts text, image, and video input and produces text. It adds legal-domain mid-training and post-training with reinforcement learning in task environments modeled on real legal workflows, targeting document understanding, legal reasoning, and multi-step task execution such as legal research, contract review, cross-document consistency checks, and drafting or revising legal documents.

It keeps the GLM-5.3-FlashX 1M-token context window, mandatory thinking mode, function calling, structured output, and streaming, and is designed to run in agent setups connected to legal data and document-editing tools (MCP services).

Text1.0M context$0.37 / $1.25

GLM 5.3 Prime

GLM-5.3-Prime is the high-speed variant of Z.ai's GLM-5.3, inheriting its full capabilities while delivering 1.5–2× the output throughput through inference acceleration. It supports text input and output with a 1M-token context window and up to 128K output tokens, and targets coding and agentic workloads, including long-horizon multi-turn agent orchestration, real-time conversation, and streaming code generation.

Reasoning is always on and cannot be disabled. Reasoning efforts low, high, and max are supported; max is the default.

Text1M context$2.80 / $8.80

GLM 5.3 FlashX

GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and linear attention architecture (320B total parameters, 18B active), it is suited for efficient coding, visual understanding, and long-horizon agent tasks with a 1M-token context window.

Text1.0M context$0.37 / $1.25

GLM Flash Latest

This model always redirects to the latest model in the GLM Flash family.

Text1.0M context

GLM 5.3 Flash

Text1.0M context$0.0399 / $0.0784

GLM 5.3 Flash (batch)

Text1.0M context$0.05 / $0.18

GLM Latest

This model always redirects to the latest GLM model from Z.ai.

Text1.0M context

GLM 5.3

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves on GLM-5.2 in coding and in the balance between performance and token efficiency.

Reasoning is always on and cannot be disabled. Reasoning efforts low, high, and max are supported; max is the default.

Text1.0M context$0.0699 / $1.40

GLM 5.3 (batch)

Reasoning is always on and cannot be disabled. Reasoning efforts low, high, and max are supported; max is the default.

Text1.0M context$0.45 / $2

GLM 5.2

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering, and complex multi-step automation.

Reasoning efforts high and xhigh are supported; xhigh maps to max reasoning. It is particularly strong at coding and tool use across long-running tasks, able to maintain engineering context and follow standards consistently through a full development workflow, from requirements to multi-platform deployment, in a single task.

Text1.0M context$0.0066 / $7.983

GLM 5.2 (batch)

Text1.0M context$0.347 / $1.068

GLM 5.1

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on a single task for more than 8 hours, autonomously planning, executing, and improving itself throughout the process, ultimately delivering complete, engineering-grade results.

Text205K context$0.8988 / $2.825

GLM 5V Turbo

GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding, and task execution, and works seamlessly with agents to complete the full loop of “perceive → plan → execute“.

Text203K context$1.20 / $4

GLM 5 Turbo

GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows involving long execution chains, with improved complex instruction decomposition, tool use, scheduled and persistent execution, and overall stability across extended tasks.

Text203K context$1.20 / $4

GLM 5

GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With advanced agentic planning, deep backend reasoning, and iterative self-correction, GLM-5 moves beyond code generation to full-system construction and autonomous execution.

Text205K context$0.60 / $1.92

GLM 4.7 Flash

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning, and tool collaboration, and has achieved leading performance among open-source models of the same size on several current public benchmark leaderboards.

Text200K context$0.0605 / $0.40

GLM 4.7

GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while delivering more natural conversational experiences and superior front-end aesthetics.

Text205K context$0.40 / $1.75

GLM 4.6V

GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts and charts directly as visual inputs, and integrates native multimodal function calling to connect perception with downstream tool execution. The model also enables interleaved image-text generation and UI reconstruction workflows, including screenshot-to-HTML synthesis and iterative visual editing.

Text131K context$0.30 / $0.90

GLM 4.6

Compared with GLM-4.5, this generation brings several key improvements:

Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex agentic tasks. Superior coding performance: The model achieves higher scores on code benchmarks and demonstrates better real-world performance in applications such as Claude Code、Cline、Roo Code and Kilo Code, including improvements in generating visually polished front-end pages. Advanced reasoning: GLM-4.6 shows a clear improvement in reasoning performance and supports tool use during inference, leading to stronger overall capability. More capable agents: GLM-4.6 exhibits stronger performance in tool using and search-based agents, and integrates more effectively within agent frameworks. Refined writing: Better aligns with human preferences in style and readability, and performs more naturally in role-playing scenarios.

Text205K context$0.43 / $1.75

GLM 4.5V

GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding, image Q&A, OCR, and document parsing, with strong gains in front-end web coding, grounding, and spatial reasoning. It offers a hybrid inference mode: a "thinking mode" for deep reasoning and a "non-thinking mode" for fast responses. Reasoning behavior can be toggled via the reasoning enabled boolean. Learn more in our docs

Text66K context$0.60 / $1.80

Z.ai: GLM 5.3 Flash

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