ModelPriceWatch.com
Last scan 2026-09-15 Models tracked 259 Providers 32 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

GLM-5.2

by Z.AI

Current flagship open weights mid tier

Today's price · per 1M tokens

Input

$1.40

per 1M tokens

Output

$4.40

per 1M tokens

Blended

$2.15

blended $/1M — 3:1 weighted input:output

Cached input

$0.260

19% of input — prompt caching

Source: official Z.AI pricing · read MODELPRICEWATCH.COM · 2026-09-15

Price receipt

We read Z.AI's own pricing page on and found GLM-5.2 listed with a price on the same row — that read is where the number above comes from. We keep the page text we read; its content hash is aac79925f8.

Available on 3 hosts

cheapest blended first · $ per 1M tokens

GLM-5.2 is sold by 3 providers. Prices are per 1M tokens (blended = (3×input + 1×output) ÷ 4). The first-party row is the model maker; “vs first-party” shows each host’s blended price relative to it.

GLM-5.2 price on every host still selling it, per 1M tokens, cheapest blended first
Host Input Output Blended vs first-party
Fireworks details → $1.40 $4.40 $2.15 0%
Together details → $1.40 $4.40 $2.15 0%
Z.AI first-party $1.40 $4.40 $2.15
Each host links to its provider page and official pricing. Prices refresh twice daily. MODELPRICEWATCH.COM · 2026-09-15

Overview

Z.AI's flagship open-weights model — a 744B-parameter Mixture-of-Experts (~40B active per token) with a 1M-token context and MIT-licensed weights. Tops open-weight leaderboards and rivals frontier models on long-horizon coding. ~$1.40/$4.40 per 1M tokens via hosts.

Run it yourself

Deploy this open model on rented GPUs

Open weights mean you can self-host instead of paying per-token API prices. These platforms let you serve it on demand — often cheaper at scale.

Partner links — we may earn a commission if you sign up, at no cost to you. We only list platforms we'd recommend regardless.

Capabilities

struck through = not supported
Input 1/5
Text Image Audio Video PDF
Output 1/5
Text Image Audio Video Embedding
Features 3/9
Prompt caching Reasoning Coding Fast inference Long context Open weights Multimodal Web search Realtime

Benchmark performance

accuracy % · higher is better
Avg benchmark score76%
Perf per $/Mtok35.3
GPQA Diamond
91.2%
SWE-Bench Verified vendor
45%
Terminal-Bench 2.1
81%
MCP Atlas
77%
Humanity's Last Exam
54.7%
ARC-AGI 2 vendor
30%
AIME 2025 vendor
70%
MMMLU vendor
80%
BFCL vendor
70%
HumanEval vendor
84%
MATH 500 vendor
76%
AIME 2026 *
99.2%
Independent composite scores
  • AA Intelligence Index: 34 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA-Omniscience Index: 4.4 (−100–100)
  • GDPval-AA v2: 1505.2 ELO (Real-world work tasks, human baseline = 1000)
  • LMSYS Chatbot Arena: 1472.1 ELO (Human preference)
How it stacks up
  • Ranks #23 of 84 benchmarked models by average score
  • Ranks #32 of 181 comparably-measured models by percentile score, across 8 independent measurements
  • Ranks #91 of 181 comparably-tested models by normalized performance per dollar
  • Strongest at AIME 2026 — 99.2%, #1 of 8

347 tokens/sec output 1.14s latency to first token (TTFT)

Source: Vellum LLM Leaderboard · updated · See full rankings →

Specifications

Provider
Z.AI
Context window
1M tokens
Modality
text
Parameters
Proprietary
Open source
Yes — open weights available
Released
Status
Current
Last updated
Tags
open-weightsflagshipcaching

Availability verified: listed on Z.AI's own page