Chinese AI model GLM-5.3 hits API at $1.40 per million input tokens

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After a stunning debut last week with cyber capabilities so advanced they reportedly found a previously undetected vulnerability in Cursor, GLM-5.3, the new frontier open source language model from Chinese startup z.ai, has now hit the application programming interface (API) — allowing developers the ability to build atop it and plug it into their agents and applications.

Developers who previously subscribed to a GLM Coding Plan are currently limited to the OpenAI Chat Completions-compatible protocol. Z.ai said it plans to make the model's weights openly available, but a precise date and licensing remain to be seen.

On the API, the price is unchanged from GLM-5.2: $1.40 per million input tokens and $4.40 per million output tokens . Cached input costs $0.26 per million tokens, while Z.ai currently lists cached-input storage as free for a limited time.

That means developers can move to the new generation without taking a higher posted per-token rate from Z.ai, even as the company claims substantially stronger coding and long-horizon agent performance.

At those rates, GLM-5.3 sits well below several of the highest-end frontier APIs.

Model

Input ($/1M)

Output ($/1M)

Total ($/1M)

Source

Muse Spark 1.2 Contributor

$0.10

$0.20

$0.30

Meta

MiMo-V2.5 Flash

$0.10

$0.30

$0.40

Xiaomi

DeepSeek-V4-Flash — off-peak

$0.22

$0.66

$0.88

DeepSeek

GPT-5.6 Luna

$0.20

$1.20

$1.40

OpenAI

MiniMax-M3

$0.30

$1.20

$1.50

MiniMax

LongCat-2.0 — limited-time promo

$0.30

$1.20

$1.50

LongCat

DeepSeek-V4-Flash — peak hours

$0.44

$1.32

$1.76

DeepSeek

MiMo-V2.5

$0.40

$2.00

$2.40

Xiaomi

DeepSeek-V4-Pro — off-peak

$0.66

$1.98

$2.64

DeepSeek

LongCat-2.0 — standard

$0.75

$2.95

$3.70

LongCat

MiMo-V2.5 Pro (≤256K)

$1.00

$3.00

$4.00

Xiaomi

Gemini 3.6 Flash — through Dec. 31, 2026

$0.75

$3.75

$4.50

Google

Gemini 3.7 Flash — through Dec. 31, 2026

$0.75

$3.75

$4.50

Google

DeepSeek-V4-Pro — peak hours

$1.32

$3.96

$5.28

DeepSeek

Muse Spark 1.1 / 1.2

$1.25

$4.25

$5.50

Meta

GLM-5.3

$1.40

$4.40

$5.80

Z.AI

Grok 4.6 — <200K prompt tokens

$2.00

$6.00

$8.00

xAI

MiMo-V2.5 Pro (>256K)

$2.00

$6.00

$8.00

Xiaomi

Qwen3.8-Max

$2.00

$6.00

$8.00

QwenCloud

Gemini 3.6 Flash — starting Jan. 1, 2027

$1.50

$7.50

$9.00

Google

Gemini 3.7 Flash — starting Jan. 1, 2027

$1.50

$7.50

$9.00

Google

GPT-5.6 Terra

$2.00

$12.00

$14.00

OpenAI

Grok 4.6 — ≥200K prompt tokens

$4.00

$12.00

$16.00

xAI

GPT-5.4

$2.50

$15.00

$17.50

OpenAI

Kimi K3

$3.00

$15.00

$18.00

Moonshot AI

Claude Opus 5

$5.00

$25.00

$30.00

Anthropic

Sakana Fugu Ultra (≤272K)

$5.00

$30.00

$35.00

Sakana AI

GPT-5.6 Sol — Standard mode

$5.00

$30.00

$35.00

OpenAI

Claude Fable 5 / Claude Mythos 5

$10.00

$50.00

$60.00

Anthropic

GPT-5.6 Sol — Fast mode

$10.00

$60.00

$70.00

OpenAI

Using the simple VentureBeat comparison of one million input tokens plus one million output tokens, GLM-5.3 comes to $5.80, versus $8 for Grok 4.6 at its lower context rate, $18 for Kimi K3, $30 for Claude Opus 5 and $35 for GPT-5.6 Sol .

That is not a workload-cost estimate — real bills depend heavily on the input/output mix, caching and token consumption — but it makes the relative API price tier easy to see.

GLM-5.3 is not the cheapest capable model available. Google’s current introductory price for Gemini 3.7 Flash is $0.75 per million input tokens and $3.75 per million output tokens through Dec. 31, 2026, while OpenAI’s GPT-5.6 Luna is priced at $0.20 input and $1.20 output.

Still, Z.ai’s price puts GLM-5.3 into a notably lower cost band than the premium frontier models it is increasingly benchmarked against.

That comparison has become more relevant following the latest independent results. Artificial Analysis gives GLM-5.3 a score of 60 on its Intelligence Index , tying Kimi K3 as the top performing open weights model in the world, and scoring seven points higher than GLM-5.2. I

ts analysis also estimates GLM-5.3 at about $0.68 per Intelligence Index task, versus roughly $0.44 for GLM-5.2, despite the identical API token prices.

The difference underscores an important caveat in headline API pricing: Artificial Analysis found GLM-5.3 more verbose than its predecessor, so flat per-token rates do not necessarily mean flat costs for a completed workload.

For developers, though, the immediate change is straightforward: GLM-5.3 is now callable through Z.ai’s API at the same $1.40/$4.40 per-million-token rate as GLM-5.2, giving teams another relatively low-cost option for testing frontier-class coding and agent workloads.