How much does GLM 4.7 cost?

GLM 4.7 costs $0.40/M input tokens and $1.75/M output tokens, with separate rates for Cache Read at $0.08/M tokens.

What is the context length of GLM 4.7?

GLM 4.7 has a 204,800 token context window. It supports up to 131,072 completion tokens.

Does GLM 4.7 support tool calling and structured outputs?

Yes. GLM 4.7 accepts tools and tool_choice for function calling on 4 of the 5 providers serving it, and requests that send tools are routed to those providers. It also supports structured outputs via a JSON schema in response_format.

Which providers serve GLM 4.7?

GLM 4.7 is served by 5 providers on OpenRouter: DeepInfra, Venice, NovitaAI, Z.ai, and Mancer. 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 4.7 released?

GLM 4.7 was released on December 22, 2025.

Z.ai: GLM 4.7

z-ai/glm-4.7

Model weights

Compare

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.

Modalities

In / out price

$0.40 / $1.75per 1M

Context

205K

Released

Dec 22, 2025

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


	$0.60	$2.20	$0.11	3.88s	26 tok/s	100.00%
	$0.60	$2.20	$0.11	4.24s	25 tok/s	100.00%
	$0.70	$2.50	$0.35	1.43s	29 tok/s	99.81%
	$0.40	$1.75	$0.08	1.34s	29 tok/s	100.00%
27% off	$0.55$0.4004	$2.65$1.929	$0.11$0.08008	1.49s	26 tok/s	100.00%
Not used in Standard routing:Why these endpoints are not used
Flex	$0.32	$1.40	$0.064	1.34s	37 tok/s	100.00%

Input $0.60Output $2.20
26 tok/s100.00% uptime
Input $0.60Output $2.20
25 tok/s100.00% uptime
Input $0.70Output $2.50
29 tok/s99.81% uptime
Input $0.40Output $1.75
29 tok/s100.00% uptime
Input $0.4004Output $1.929
27% off
26 tok/s100.00% uptime
Not used in Standard routing:Why these endpoints are not used
Input $0.32Output $1.40
Flex
37 tok/s100.00% 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

$0.2872/M tokens

Output

$1.953/M tokens

GLM 4.7 — Price history

Price history

No effective price data for this selection

		$0.259	$2.20	69.7%	19.1%
		$0.268	$1.75	41.1%	48.9%
		$0.296	$1.93	32.6%	1.4%
		$0.299	$2.20	61.3%	26.5%
		$0.595	$2.50	30.0%	3.9%
Not used in Standard routing:Why these endpoints are not used
	Flex	$0.251	$1.40	26.9%	0.2%

Effective in $0.259Effective out $2.20
Token share
19.1%
Effective in $0.268Effective out $1.75
Token share
48.9%
Effective in $0.296Effective out $1.93
Token share
1.4%
Effective in $0.299Effective out $2.20
Token share
26.5%
Effective in $0.595Effective out $2.50
Token share
3.9%
Not used in Standard routing:Why these endpoints are not used
Effective in $0.251Effective out $1.40
FlexToken share
0.2%

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

37tok/s

P50, best across providers

Latency

1.34s

P50, best provider

Latency / throughput

AutoExacto benchmarks

GPQA DiamondTAU-BenchGoogle83.8%77.3%auto-routing83.4%72.0%Z.ai83.9%71.3%NovitaAI83.4%70.8%DeepInfra82.7%68.8%

+2 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)

99.53%

Availability over the last 3 days

Last 72 hours

Availability 99.53%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.60%

Without Routing

99.10%

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 4.7 (Artificial Analysis, Design Arena and Vals AI)
Source	Benchmark	Score
Artificial Analysis	GLM-4.7 (Non-reasoning) GPQA Diamond	66.4%
Artificial Analysis	GLM-4.7 (Non-reasoning) HLE	6.4%
Artificial Analysis	GLM-4.7 (Non-reasoning) IFBench	54.6%
Artificial Analysis	GLM-4.7 (Non-reasoning) τ²-Bench Telecom	94.2%
Artificial Analysis	GLM-4.7 (Non-reasoning) AA-LCR	40.7%
Artificial Analysis	GLM-4.7 (Non-reasoning) CritPt	0.0%
Artificial Analysis	GLM-4.7 (Non-reasoning) LiveCodeBench	56.2%
Artificial Analysis	GLM-4.7 (Non-reasoning) Terminal-Bench Hard	30.3%
Artificial Analysis	GLM-4.7 (Non-reasoning) MMLU-Pro	79.4%
Artificial Analysis	GLM-4.7 (Non-reasoning) AIME 2025	48.0%
Artificial Analysis	GLM-4.7 (Reasoning) Coding Index	45.3
Artificial Analysis	GLM-4.7 (Reasoning) GPQA Diamond	85.9%
Artificial Analysis	GLM-4.7 (Reasoning) HLE	27.4%
Artificial Analysis	GLM-4.7 (Reasoning) IFBench	67.9%
Artificial Analysis	GLM-4.7 (Reasoning) τ²-Bench Telecom	95.9%
Artificial Analysis	GLM-4.7 (Reasoning) AA-LCR	71.0%
Artificial Analysis	GLM-4.7 (Reasoning) τ-Bench Banking	12.2%
Artificial Analysis	GLM-4.7 (Reasoning) GDPval-AA	26.1%
Artificial Analysis	GLM-4.7 (Reasoning) CritPt	1.7%
Artificial Analysis	GLM-4.7 (Reasoning) LiveCodeBench	89.4%
Artificial Analysis	GLM-4.7 (Reasoning) Terminal-Bench Hard	31.8%
Artificial Analysis	GLM-4.7 (Reasoning) Terminal-Bench 2.1	45.3%
Artificial Analysis	GLM-4.7 (Reasoning) MMLU-Pro	85.6%
Artificial Analysis	GLM-4.7 (Reasoning) AIME 2025	95.0%
Design Arena	GLM 4.7 Agents Arena Androidnative Elo	1097
Design Arena	GLM 4.7 Agents Arena Full Stack Elo	1022
Design Arena	GLM 4.7 Agents Arena Godotgamedev Elo	1058
Design Arena	GLM 4.7 Agents Arena Mobile Apps Elo	1097
Design Arena	GLM 4.7 Models Arena 3D Elo	1171
Design Arena	GLM 4.7 Models Arena Asciiart Elo	1160
Design Arena	GLM 4.7 Models Arena Code Categories Elo	1206
Design Arena	GLM 4.7 Models Arena Data Visualization Elo	1192
Design Arena	GLM 4.7 Models Arena Game Development Elo	1178
Design Arena	GLM 4.7 Models Arena SVG Elo	1132
Design Arena	GLM 4.7 Models Arena UI Component Elo	1189
Design Arena	GLM 4.7 Models Arena Website Elo	1218
Vals AI	GLM 4.7 AIME	93.3%
Vals AI	GLM 4.7 CaseLaw v2	54.9%
Vals AI	GLM 4.7 CorpFin v2	46.4%
Vals AI	GLM 4.7 Finance Agent v1.1	46.0%
Vals AI	GLM 4.7 GPQA Diamond	80.0%
Vals AI	GLM 4.7 IOI v1	7.6%
Vals AI	GLM 4.7 LiveCodeBench	82.2%
Vals AI	GLM 4.7 LegalBench	83.4%
Vals AI	GLM 4.7 MedCode	32.8%
Vals AI	GLM 4.7 MedQA	93.7%
Vals AI	GLM 4.7 MedScribe	68.6%
Vals AI	GLM 4.7 MGSM	88.2%
Vals AI	GLM 4.7 MMLU Pro	82.7%
Vals AI	GLM 4.7 ProofBench v1	6.0%
Vals AI	GLM 4.7 SWE-bench	69.4%
Vals AI	GLM 4.7 TaxEval v2	68.8%
Vals AI	GLM 4.7 Terminal-Bench 2.0	38.2%

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.

Janitor AI

Janitor AI is a chatbot platform where users create and chat with custom AI characters for interactive roleplay, storytelling, and immersive fiction.

21.9Btokens

Halluna

new

8.83Btokens

My Dream Companion

new

7.17Btokens

Sophia's LoreBary

Organize and enhance your roleplay creations.

5.56Btokens

Bitbison triage

new

4.12Btokens

Rest of OpenRouter

1.95B

Top 5 Apps

731M

Not currently available through EU in-region routing. In-region routing docs

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Z.ai: GLM 4.7

Providers