Z.ai (GLM)

GLM 5.3

z-ai/glm-5.3
Model weightsReleased Aug 18, 2026GLM-5.3 Open Weights
ThinkingToolsopen weights

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...

Cost / 1M tokens

Low usage

$0.07

input

$0.069

cached input

$1.40

output

Context Window

1M

Up to 944K max output

Architecture

753B total MoE

text → text

Quickstart & API

z-ai/glm-5.3
Open the model picker in ChatOSS Desktop (Code, Kanban, or Chat) and select or paste this model ID.

Best for & Strengths

Key Strengths

95.4% SWE-Bench VerifiedOpen-weight flagshipLong-horizon reasoningMulti-file refactoring

Recommended Workloads in ChatOSS

  • Demanding software engineering
  • Agentic code review
  • Self-hosted enterprise AI
Available in ChatOSS Code, Kanban Orchestrate, and Chat modes via Plus, Max, or BYOK.

Verified Evaluations

Benchmarks & Frontier Comparison

How GLM 5.3 compares against leading open-weight and proprietary frontier models across independent agentic coding and reasoning suites.

View full Top 40 Leaderboard →
GLM 5.3DeepSeek V4.1 FlashKimi K3.1 ProClaude Opus 5.5
Benchmark (Metric)GLM 5.3DeepSeek V4.1 FlashKimi K3.1 ProClaude Opus 5.5Gemini 4 Argon
Agentic & Software Engineering
ChatOSS Agentic Coding Index (%)58.3%63.2%65%74.1%73.9%
SWE-Bench Verified (%)95.4%91.5%94.8%97%94%
DeepSWE v1.1 (Pass@1 %)69%77%73.5%74.2%77.9%
Vibe Code Bench v1.1 (%)78.13%87.7%88.4%90.3%91.9%
Terminal-Bench 4.0 (%)42%42.3%46.2%65.2%57.6%
Code Migration (%)44.22%45.6%52%66.7%68.2%
Intelligence & Token Economics
Artificial Analysis Intelligence Index (0–100)31.739.555.157.652.6
Input Price (/ 1M tokens)$0.07$0.15$2.00$4.00$4.00
Output Price (/ 1M tokens)$1.40$0.60$10.00$20.00$20.00

ChatOSS Agentic Coding Index

ChatOSS Benchmark Audit · 4-benchmark composite mean

58.3%

SWE-Bench Verified

Vals AI · Terminus 2

95.4%

DeepSWE v1.1

DeepSWE / Official Audit · Mini-SWE-Agent

69%

Vibe Code Bench v1.1

Vals.ai · OpenHands

78.13%

Terminal-Bench 4.0

Vals.ai / Artificial Analysis · Terminus 2

42%

Terminal-Bench 2.1

Vals.ai · Terminus 2

88.2%

Code Migration

Vals.ai · Vals evaluation harness

44.22%

AutomationBench

Artificial Analysis v4.3

62%

Artificial Analysis Intelligence Index

Artificial Analysis

31.7

GPQA Diamond (Pass@1)

Benchmark Audit

88.1%

Humanity's Last Exam (Pass@1)

Artificial Analysis / Audit

42%

Design Arena: 3D

Design Arena · Rank #18 (56.7% win)

1304 Elo

Design Arena: ASCIIART

Design Arena · Rank #23 (47.2% win)

1212 Elo

Design Arena: Code Generation

Design Arena · Rank #19 (52.7% win)

1288 Elo

Design Arena: Data Visualization

Design Arena · Rank #34 (50.7% win)

1251 Elo

Active Provider Endpoints (47)

Upstream inference providers serving GLM 5.3, with per-provider pricing, context limits, quantization, and 24-hour uptime.

ProviderInput / 1MOutput / 1MCache Read / 1MContextMax OutputQuantizationUptime (24h)
Wafercache
wafer/us
$0.07$1.40$0.0691M944Kfp4100.0%
Relacecache
relace/fp4
$0.07$4.38$0.071M131Kfp4100.0%
InferenceNetcache
inference-net/us
$0.08$3.60$0.0761M944Kfp4100.0%
InferenceNetcache
inference-net/fp4
$0.08$3.60$0.0761M944Kfp4100.0%
Rekacache
reka
$0.15$3.00$0.121M262K—97.9%
Wafercache
wafer/fp4
$0.179$1.40$0.1781M944Kfp4100.0%
AkashMLcache
akashml/fp4
$0.19$4.40$0.191M131Kfp4100.0%
PrimeIntellectcache
primeintellect
$0.40$2.46$0.0741M131K—100.0%
Makoracache
makora/fp4
$0.40$3.20$0.161M128Kfp499.8%
DeepInfracache
deepinfra/fp4
$0.563$2.50$0.1251M131Kfp499.4%
Tenstorrentcache
tenstorrent/fp8
$0.60$2.50$0.101M131Kfp898.7%
Decartcache
decart/fp4
$0.61$1.89$0.111M944Kfp4100.0%
Novitacache
novita/fp8
$0.63$1.98$0.1171M131Kfp8100.0%
Morphcache
morph/fp8
$0.699$2.15$0.2361M944Kfp899.8%
SiliconFlowcache
siliconflow/fp8
$0.70$2.20$0.131M262Kfp8100.0%
GMICloudcache
gmicloud/fp8
$0.70$2.20$0.131M944Kfp8100.0%
Cloudflarecache
cloudflare
$0.70$2.20$0.131M944K—100.0%
CoreWeavecache
coreweave/nvfp4
$0.75$3.00$0.191M944Knvfp499.6%
Sail Researchcache
sail-research/us
$0.75$3.00$0.121M944Kfp8100.0%
DigitalOceancache
digitalocean
$0.91$2.86$0.1691M128K—99.9%
Fireworkscache
fireworks/spot
$0.98$3.08$0.1821M944K—93.8%
Inceptroncache
inceptron/fp4
$1.00$4.40$0.141M944Kfp4100.0%
Sail Researchcache
sail-research/fp8
$1.05$4.20$0.1681M944Kfp8100.0%
Rivercache
river
$1.12$3.52$0.2081M131K—100.0%
Alibabacache
alibaba
$1.19$3.74$0.2381M131K—100.0%
Friendlicache
friendli
$1.26$3.96$0.2341M944K—100.0%
SambaNovacache
sambanova
$1.40$4.40$0.071M944K—99.5%
Mistralcache
mistral/zdr
$1.40$4.40$0.141M131Knvfp4100.0%
Baiducache
baidu/fp8
$1.40$4.40$0.261M131Kfp899.4%
BaseTencache
baseten/fp4/us
$1.40$4.40$0.141M262Kfp498.5%
Nebiuscache
nebius/fp4
$1.40$4.40$0.261M944Kfp496.9%
Crusoecache
crusoe/fp4
$1.40$4.40$0.261M944Kfp499.1%
Venicecache
venice
$1.40$4.40$0.261M131K—97.6%
Togethercache
together
$1.40$4.40$0.261M944K—99.8%
Parasailcache
parasail/fp8
$1.40$4.40$0.261M944Kfp899.6%
Modalcache
modal
$1.40$4.40$0.261M944K—100.0%
BaseTencache
baseten/fp4
$1.40$4.40$0.141M262Kfp498.5%
Fireworkscache
fireworks
$1.40$4.40$0.261M944K—98.6%
AtlasCloudcache
atlas-cloud/fp8
$1.40$4.40$0.261M131Kfp8100.0%
Z.AIcache
z-ai/fp8
$1.40$4.40$0.261M131Kfp8100.0%
Mistralcache
mistral/nvfp4/eu
$1.54$4.84$0.1541M131Knvfp4100.0%
Amazon Bedrock
amazon-bedrock/us-east-1
$1.68$5.28$0.3121M131K—99.9%
Parasailcache
parasail/fast
$2.10$6.60$0.261M944Kfp896.3%
Fireworkscache
fireworks/fast
$2.10$6.60$0.391M944K—99.4%
BaseTencache
baseten/us/fast
$2.10$6.60$0.211M262Kfp897.9%
BaseTencache
baseten/fast
$2.10$6.60$0.211M262Kfp898.9%
Alibabacache
alibaba/prime
$2.80$8.80$0.561M131K—100.0%

Supported API Parameters

Parameters accepted by this model when called through ChatOSS or OpenRouter.

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_pparallel_tool_callspresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p

Deep-Dive Benchmarks & Teardowns

Independent benchmark analysis and real-world agent billing teardowns featuring GLM 5.3.

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