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


	$0.12	$0.38	$0.02	0.55s	152 tok/s	93.10%
	$0.06	$0.30	$0.03	0.68s	140 tok/s	99.86%
	$0.0399	$0.0784	$0.03	0.50s	98 tok/s	100.00%
	$0.15	$0.50	$0.03	0.46s	155 tok/s	99.60%
	$0.12	$0.50	$0.04	0.59s	157 tok/s	100.00%
	$0.15	$0.50	$0.03	0.67s	139 tok/s	99.60%
	$0.042	$0.184	$0.041	0.41s	100 tok/s	98.64%
	$0.108	$0.35	$0.035	0.36s	135 tok/s	100.00%
	$0.1125	$0.375	$0.03	0.71s	134 tok/s	100.00%
	$0.108	$0.35	$0.035	0.39s	132 tok/s	100.00%
	$0.12	$0.30	$0.03	0.75s	107 tok/s	100.00%
	$0.15	$0.50	$0.03	0.36s	113 tok/s	100.00%
	$0.065	$0.24	$0.064	0.37s	99 tok/s	97.88%
	$0.15	$0.50	$0.03	0.90s	105 tok/s	100.00%
	$0.15	$0.50	$0.03	0.23s	138 tok/s	99.40%
	$0.14	$0.24	$0.03	0.59s	100 tok/s	99.42%
	$0.15	$0.50	$0.03	0.40s	101 tok/s	100.00%
	$0.15	$0.50	$0.03	0.74s	97 tok/s	99.83%
	$0.15	$0.50	$0.03	0.86s	126 tok/s	99.27%
	$0.15	$0.50	$0.03	1s	109 tok/s	100.00%
	$0.175	$0.47	$0.04	0.45s	102 tok/s	100.00%
	$0.15	$0.50	$0.03	0.72s	91 tok/s	100.00%
	$0.12	$0.40	$0.024	0.81s	71 tok/s	100.00%
	$0.15	$0.50	$0.03	1.20s	107 tok/s	99.96%
	$0.225	$0.75	$0.045	0.49s	154 tok/s	99.71%
	$0.15	$0.50	$0.03	0.44s	122 tok/s	99.57%
	$0.10	$0.50	$0.03	1.02s	89 tok/s	97.99%
	$0.12	$0.45	$0.03	0.78s	83 tok/s	100.00%
Fast	$0.1875	$0.625	$0.0375	0.61s	133 tok/s	99.93%
41% off	$0.15$0.0885	$0.50$0.295	$0.03$0.0177	1.64s	47 tok/s	98.22%
	$0.107	$0.113	$0.046	1.34s	32 tok/s	98.72%
	$0.175	$0.625	$0.0225	1.10s	39 tok/s	100.00%
44% off	$0.15$0.084	$0.50$0.28	$0.03$0.0168	2.58s	35 tok/s	100.00%
	$0.175	$0.625	$0.0225	1.14s	40 tok/s	99.86%
	$0.08	$0.50	$0.012	0.81s	26 tok/s	99.96%
50% off	$0.15$0.075	$0.50$0.25	$0.03$0.015	1.51s	57 tok/s	99.96%
	$0.10	$0.40	$0.03	1.00s	73 tok/s	98.44%
	$0.15	$0.50	$0.03	0.70s	58 tok/s	96.86%
	$0.15	$0.50	$0.03	2.73s	38 tok/s	100.00%
	$0.075	$0.25	$0.015	6.86s	46 tok/s	99.83%
	$0.15	$0.50	$0.03	7.09s	20 tok/s	98.52%
	$0.065	$0.18	$0.012	31.24s	17 tok/s	92.09%

Input $0.12Output $0.38
152 tok/s93.10% uptime
Input $0.06Output $0.30
140 tok/s99.86% uptime
Input $0.0399Output $0.0784
98 tok/s100.00% uptime
Input $0.15Output $0.50
155 tok/s99.60% uptime
Input $0.12Output $0.50
157 tok/s100.00% uptime
Input $0.15Output $0.50
139 tok/s99.60% uptime
Input $0.042Output $0.184
100 tok/s98.64% uptime
Input $0.108Output $0.35
135 tok/s100.00% uptime
Input $0.1125Output $0.375
134 tok/s100.00% uptime
Input $0.108Output $0.35
132 tok/s100.00% uptime
Input $0.12Output $0.30
107 tok/s100.00% uptime
Input $0.15Output $0.50
113 tok/s100.00% uptime
Input $0.065Output $0.24
99 tok/s97.88% uptime
Input $0.15Output $0.50
105 tok/s100.00% uptime
Input $0.15Output $0.50
138 tok/s99.40% uptime
Input $0.14Output $0.24
100 tok/s99.42% uptime
Input $0.15Output $0.50
101 tok/s100.00% uptime
Input $0.15Output $0.50
97 tok/s99.83% uptime
Input $0.15Output $0.50
126 tok/s99.27% uptime
Input $0.15Output $0.50
109 tok/s100.00% uptime
Input $0.175Output $0.47
102 tok/s100.00% uptime
Input $0.15Output $0.50
91 tok/s100.00% uptime
Input $0.12Output $0.40
71 tok/s100.00% uptime
Input $0.15Output $0.50
107 tok/s99.96% uptime
Input $0.225Output $0.75
154 tok/s99.71% uptime
Input $0.15Output $0.50
122 tok/s99.57% uptime
Input $0.10Output $0.50
89 tok/s97.99% uptime
Input $0.12Output $0.45
83 tok/s100.00% uptime
Input $0.1875Output $0.625
Fast
133 tok/s99.93% uptime
Input $0.0885Output $0.295
41% off
47 tok/s98.22% uptime
Input $0.107Output $0.113
32 tok/s98.72% uptime
Input $0.175Output $0.625
39 tok/s100.00% uptime
Input $0.084Output $0.28
44% off
35 tok/s100.00% uptime
Input $0.175Output $0.625
40 tok/s99.86% uptime
Input $0.08Output $0.50
26 tok/s99.96% uptime
Input $0.075Output $0.25
50% off
57 tok/s99.96% uptime
Input $0.10Output $0.40
73 tok/s98.44% uptime
Input $0.15Output $0.50
58 tok/s96.86% uptime
Input $0.15Output $0.50
38 tok/s100.00% uptime
Input $0.075Output $0.25
46 tok/s99.83% uptime
Input $0.15Output $0.50
20 tok/s98.52% uptime
Input $0.065Output $0.18
17 tok/s92.09% 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

$0.04556/M tokens

Output

$0.3982/M tokens

GLM 5.3 Flash — Price history

Price history

No effective price data for this selection

	$0.0239	$0.4994	82.5%	2.1%
	$0.0285	$0.2491	77.4%	0.4%
	$0.0313	$0.0778	86.5%	4.7%
	$0.0326	$0.2997	91.1%	5.5%
	$0.0328	$0.3790	87.2%	12.3%
	$0.0340	$0.3990	89.5%	1.7%
	$0.0341	$0.4996	96.6%	0.3%
	$0.0390	$0.2904	73.5%	2.0%
	$0.0393	$0.4997	86.7%	1.3%
	$0.0399	$0.3493	94.1%	6.4%
	$0.0412	$0.1833	73.5%	2.5%
	$0.0419	$0.3994	82.9%	0.2%
	$0.0420	$0.4993	89.9%	4.6%
	$0.0434	$0.4997	88.8%	2.2%
	$0.0458	$0.4996	86.8%	9.0%
	$0.0462	$0.3493	85.4%	1.4%
	$0.0472	$0.2391	84.4%	1.7%
	$0.0483	$0.4995	84.7%	0.3%
	$0.0485	$0.4996	84.6%	8.4%
	$0.0485	$0.4996	89.3%	9.2%
	$0.0494	$0.3742	76.5%	3.1%
	$0.0495	$0.2990	78.3%	0.7%
	$0.0510	$0.4488	76.6%	0.1%
	$0.0526	$0.1059	80.8%	2.3%
	$0.0527	$0.4995	81.1%	0.8%
	$0.0566	$0.2497	30.7%	0.1%
	$0.0581	$0.4996	76.6%	2.9%
	$0.0603	$0.2947	39.8%	0.9%
	$0.0608	$0.4998	74.4%	2.0%
	$0.0622	$0.1788	5.3%	0.0%
	$0.0636	$0.4995	71.9%	0.7%
	$0.0637	$0.4995	71.9%	0.1%
	$0.0643	$0.2395	62.9%	0.3%
	$0.0666	$0.4998	69.5%	5.7%
	$0.0666	$0.4994	69.4%	0.6%
	$0.0794	$0.6237	62.6%	0.0%
Fast	$0.0824	$0.6245	70.1%	0.2%
	$0.0836	$0.7494	78.6%	2.4%
	$0.0845	$0.4695	67.0%	0.8%
	$0.0919	$0.4995	48.4%	0.3%
	$0.1086	$0.4993	34.4%	0.0%
	$0.1441	$0.6176	19.6%	0.0%

Effective in $0.0239Effective out $0.4994
Token share
2.1%
Effective in $0.0285Effective out $0.2491
Token share
0.4%
Effective in $0.0313Effective out $0.0778
Token share
4.7%
Effective in $0.0326Effective out $0.2997
Token share
5.5%
Effective in $0.0328Effective out $0.3790
Token share
12.3%
Effective in $0.0340Effective out $0.3990
Token share
1.7%
Effective in $0.0341Effective out $0.4996
Token share
0.3%
Effective in $0.0390Effective out $0.2904
Token share
2.0%
Effective in $0.0393Effective out $0.4997
Token share
1.3%
Effective in $0.0399Effective out $0.3493
Token share
6.4%
Effective in $0.0412Effective out $0.1833
Token share
2.5%
Effective in $0.0419Effective out $0.3994
Token share
0.2%
Effective in $0.0420Effective out $0.4993
Token share
4.6%
Effective in $0.0434Effective out $0.4997
Token share
2.2%
Effective in $0.0458Effective out $0.4996
Token share
9.0%
Effective in $0.0462Effective out $0.3493
Token share
1.4%
Effective in $0.0472Effective out $0.2391
Token share
1.7%
Effective in $0.0483Effective out $0.4995
Token share
0.3%
Effective in $0.0485Effective out $0.4996
Token share
8.4%
Effective in $0.0485Effective out $0.4996
Token share
9.2%
Effective in $0.0494Effective out $0.3742
Token share
3.1%
Effective in $0.0495Effective out $0.2990
Token share
0.7%
Effective in $0.0510Effective out $0.4488
Token share
0.1%
Effective in $0.0526Effective out $0.1059
Token share
2.3%
Effective in $0.0527Effective out $0.4995
Token share
0.8%
Effective in $0.0566Effective out $0.2497
Token share
0.1%
Effective in $0.0581Effective out $0.4996
Token share
2.9%
Effective in $0.0603Effective out $0.2947
Token share
0.9%
Effective in $0.0608Effective out $0.4998
Token share
2.0%
Effective in $0.0622Effective out $0.1788
Token share
0.0%
Effective in $0.0636Effective out $0.4995
Token share
0.7%
Effective in $0.0637Effective out $0.4995
Token share
0.1%
Effective in $0.0643Effective out $0.2395
Token share
0.3%
Effective in $0.0666Effective out $0.4998
Token share
5.7%
Effective in $0.0666Effective out $0.4994
Token share
0.6%
Effective in $0.0794Effective out $0.6237
Token share
0.0%
Effective in $0.0824Effective out $0.6245
FastToken share
0.2%
Effective in $0.0836Effective out $0.7494
Token share
2.4%
Effective in $0.0845Effective out $0.4695
Token share
0.8%
Effective in $0.0919Effective out $0.4995
Token share
0.3%
Effective in $0.1086Effective out $0.4993
Token share
0.0%
Effective in $0.1441Effective out $0.6176
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

157tok/s

P50, best across providers

Latency

0.23s

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)

99.88%

Availability over the last 3 days

Last 72 hours

Availability 99.88%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.87%

Without Routing

95.55%

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	1292
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.

6.62Ttokens

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.

3.52Ttokens

Portkey AI

Control panel for AI apps

3.37Ttokens

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

1.51Ttokens

Lemonade

The AI tool for Roblox games.

1.09Ttokens

Rest of OpenRouter

89.3B

Top 5 Apps

50.2B

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 (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$0.298 / $0.916

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

GLM 4.5

GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly enhanced capabilities in reasoning, code generation, and agent alignment. It supports a hybrid inference mode with two options, a "thinking mode" designed for complex reasoning and tool use, and a "non-thinking mode" optimized for instant responses. Users can control the reasoning behaviour with the reasoning enabled boolean. Learn more in our docs

Text131K context$0.60 / $2.20

Z.ai: GLM 5.3 Flash

Providers