Pass IndexThe State of AISign in

GLM-5

GLM 5 is a frontier-class, general-purpose large language model optimized for complex systems engineering and long-horizon agentic tasks.

text → text · made by Z.ai

$1$3.2per Mtok in / out
Z.ai · 20 sellers

Sold by 35 ways

SellerLaneRate
AWS Bedrock 0 ways$0.5per Mtok in$1.6per Mtok out
AWS Bedrock cloudnot on the seller's list todaybatch$0.5per Mtok in$1.6per Mtok outpricing.us-east-1.amazonaws.com · read 2026-08-24
AWS Bedrock cloudin-region batch$0.5per Mtok in$1.6per Mtok outpricing.us-east-1.amazonaws.com · read 2026-08-24
Writer apistandard$0.6per Mtok in$1.92per Mtok outdev.writer.com · read 2026-08-25
AWS Bedrock cloudstandard$1per Mtok in$3.2per Mtok outmodels.dev · read 2026-09-16
AWS Bedrock cloudin-region$1per Mtok in$3.2per Mtok outpricing.us-east-1.amazonaws.com · read 2026-08-24
DigitalOcean cloudstandard$1per Mtok in$3.2per Mtok out$0.2per Mtok cachedmodels.dev · read 2026-09-16
Google Vertex AI cloudstandard$1per Mtok in$3.2per Mtok out$0.1per Mtok cachedcloud.google.com · read 2026-08-24
Z.ai apistandard$1per Mtok in$3.2per Mtok out$0.2per Mtok cacheddocs.z.ai · read 2026-08-24
Avian aggregatorstandard$0.52per Mtok in$2.32per Mtok out$0.13per Mtok cachedapi.avian.io · read 2026-09-16
DeepInfra aggregatorstandard$0.6per Mtok in$2.08per Mtok outapi.deepinfra.com · read 2026-08-25
Hugging Face Inference Providers 3 ways$1per Mtok in$3.2per Mtok out$0.2per Mtok cached
Hugging Face Inference Providers aggregatordeepinfra$0.6per Mtok in$2.08per Mtok outrouter.huggingface.co · read 2026-08-25
Hugging Face Inference Providers aggregatorstandard$1per Mtok in$3.2per Mtok out$0.2per Mtok cachedmodels.dev · read 2026-09-16
Hugging Face Inference Providers aggregatornovita$1per Mtok in$3.2per Mtok outrouter.huggingface.co · read 2026-08-25
Nous Research aggregatorstandard$0.6per Mtok in$1.92per Mtok out$0.12per Mtok cachedinference-api.nousresearch.com · read 2026-09-12
OpenRouter 8 ways$0.6per Mtok in$1.92per Mtok out$0.12per Mtok cached
OpenRouter aggregatorstandard$0.6per Mtok in$1.92per Mtok out$0.12per Mtok cachedopenrouter.ai · read 2026-08-24
OpenRouter aggregatordeepinfra/fp4$0.6per Mtok in$2.08per Mtok out$0.12per Mtok cachedopenrouter.ai · read 2026-08-25
OpenRouter aggregatorbaidu/fp8$0.7per Mtok in$2.24per Mtok out$0.14per Mtok cachedopenrouter.ai · read 2026-08-25
OpenRouter aggregatornot on the seller's list todayatlas-cloud/fp8$0.95per Mtok in$3.15per Mtok out$0.19per Mtok cachedopenrouter.ai · read 2026-08-25
OpenRouter aggregatorsiliconflow/fp8$0.95per Mtok in$2.55per Mtok out$0.2per Mtok cachedopenrouter.ai · read 2026-08-25
OpenRouter aggregatoramazon-bedrock$1per Mtok in$3.2per Mtok outopenrouter.ai · read 2026-08-25
OpenRouter aggregatornot on the seller's list todaydigitalocean$1per Mtok in$3.2per Mtok out$0.2per Mtok cachedopenrouter.ai · read 2026-08-25
OpenRouter aggregatornovita/fp8$1per Mtok in$3.2per Mtok out$0.2per Mtok cachedopenrouter.ai · read 2026-08-25
OpenRouter aggregatorvenice/fp8$1per Mtok in$3.2per Mtok out$0.2per Mtok cachedopenrouter.ai · read 2026-08-25
OpenRouter aggregatorz-ai/fp8$1per Mtok in$3.2per Mtok out$0.2per Mtok cachedopenrouter.ai · read 2026-08-25
Baseten aggregatorstandard$0.95per Mtok in$3.15per Mtok out$0.2per Mtok cachedmodels.dev · read 2026-09-16
Inference.net aggregatorstandard$0.95per Mtok in$2.55per Mtok out$0.2per Mtok cachedapi.inference.net · read 2026-09-16
SiliconFlow aggregatorstandard$0.95per Mtok in$2.55per Mtok out$0.2per Mtok cachedmodels.dev · read 2026-09-16
ElectronHub aggregatorstandard$1per Mtok in$3.2per Mtok outapi.electronhub.ai · read 2026-09-16
Novita AI aggregatorstandard$1per Mtok in$3.2per Mtok out$0.2per Mtok cachedapi.novita.ai · read 2026-08-25
Requesty 2 ways$1per Mtok in$3.2per Mtok out$0.2per Mtok cached
Requesty aggregatornovita$1per Mtok in$3.2per Mtok out$0.2per Mtok cachedrouter.requesty.ai · read 2026-08-28
Requesty aggregatorzai$1per Mtok in$3.2per Mtok out$0.2per Mtok cachedrouter.requesty.ai · read 2026-08-28
Together AI aggregatorstandard$1per Mtok in$3.2per Mtok outmodels.dev · read 2026-09-16
Venice AI aggregatorstandard$1per Mtok in$3.2per Mtok out$0.2per Mtok cachedmodels.dev · read 2026-09-16
Vercel AI Gateway aggregatorstandard$1per Mtok in$3.2per Mtok outai-gateway.vercel.sh · read 2026-08-25
PPIO aggregatorstandard$6per Mtok in$22per Mtok outapi.ppinfra.com · read 2026-09-16

Measured 43 standings

PlaceBoardMetricScore
5thof 61AIME 2025Accuracy (± 95% CI)96.67
6thof 32AIME 2026Accuracy (± 95% CI)96.67
6thof 8τ²-bench Leaderboard (Overall: Retail · Airline · Telecom)Pass^181
8thof 47SWE-bench Verified (default "Bash Only" view, agent = mini-SWE-agent)% Resolved (high)72.8
11thof 23Cl bench — Epoch AIOverall0.187
18thof 81Forecastbench — Epoch AIOverall score61
23rdof 42Design Arena · godotgamedev (agents)Elo1144
23rdof 35Swe bench verified — Epoch AImean_score72.078
27thof 28τ³-Banking LeaderboardPass^19.8
28thof 36Design Arena · htmlslides (agents)Elo1150
30thof 60Vending bench 2 — Epoch AIScore4432.122
39thof 55Design Arena · androidnative (agents)Elo1160
42ndof 64Design Arena · fullstack (agents)Elo1132
44thof 65Apex agents — Epoch AIPass@1 score0.172
45thof 147Design Arena · 3d (models)Elo1257
46thof 102Simplebench — Epoch AIScore (AVG@5)0.532
47thof 63Design Arena · mobileapps (agents)Elo1164
48thof 155Design Arena · gamedev (models)Elo1257
48thof 101FrontierMath (Tiers 1-3)mean_score16.434
48thof 72Frontiermath tier 4 — Epoch AImean_score2.1
49thof 156Design Arena · codecategories (models)Elo1262
52ndof 109Design Arena · svg (models)Elo1193
52ndof 162Design Arena · website (models)Elo1260
56thof 152Design Arena · dataviz (models)Elo1244
56thof 402LMArena · TextScore (Elo)1458
57thof 92Design Arena · asciiart (models)Elo1165
57thof 105Vectara Hallucination LeaderboardHallucination Rate10.1
60thof 150Design Arena · uicomponent (models)Elo1246
62ndof 313GPQA Diamondmean_score87.817
64thof 121Webdev arena — Epoch AIArena Score1435.46
65thof 112Ale bench — Epoch AIPerformance765.62
65thof 128LMArena · WebDevScore (Elo)1436
67thof 202Terminalbench — Epoch AIAccuracy mean0.524
75thof 170Weirdml — Epoch AIAccuracy48.17
109thof 290OTIS Mock AIME 2024-2025mean_score80
118thof 216ARC-AGI-2 (Public Eval)Score (%)5.42
121stof 205ARC-AGI-1 (Public Eval)Score (%)58.63
134thof 222Chess puzzles — Epoch AImean_score10
141stof 232ARC-AGI-2 (Semi-Private)Score (%)4.86
143rdof 230ARC-AGI-1 (Semi-Private)Score (%)44.67
145thof 227Arc agi 2 — Epoch AIScore4.86
154thof 244Arc agi — Epoch AIScore44.67
307thof 656Epoch capabilities index — Epoch AIECI Score145.89

About

GLM-5 — a text model from Z.ai, sold by 20 companies from $0.52 in and $2.32 out per million tokens, placed 5th of 61 on AIME 2025.

It takes text and returns text, with a context window of 202,800 tokens. It was published in February 2026. Its sellers say it can reason step by step and call a tool. The catalogue files it under reasoning, code and agents. Twenty companies sell it. The cheapest is $0.52 in and $2.32 out per million tokens at Avian. Beside the standard rate there are regional, batch and separately routed lanes. It has been measured on 43 boards, and stands best at 5th of 61 on AIME 2025.

Every current figure

Maker
Z.ai
Register
model
Takes
text
Returns
text
Context
202,800 tokens
Published
February 2026
Parameters
754 billion
Licence
not read
Sellers
20
Price
$0.52 in and $2.32 out per million tokens — Avian
Boards
43
Best place
5th of 61 — AIME 2025

Known as 7 names

GLM 5GLM 5 (high)GLM 5 highzai-org/GLM-5z-ai/glm-5novita/GLM-5zai/GLM-5