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ModelCap

GLM 5.2

Current board #141 Arena configurationsOpen weights

Z.ai·z-ai/glm-5.2

GLM 5.2 is a language model published by Z.ai. 32 OpenRouter endpoints are published in the latest snapshot. It accepts text input and returns text. The published context limit is 1.0M tokens. The catalogue declares support for reasoning, tool use, structured outputs.

ModelCap Index · Current board
83.3#14
Measured · 89% support · score interval 83.3–89.1
Market Gravity
77.5
Secondary market signal
Input
$0.503
per 1M tokens
Output
$1.58
per 1M tokens
Context
1.0M
tokens
Providers
32
endpoints
Gateway spend
4.55%
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Novitafp8Cheapest$0.503$1.581.0Mfp897.02%
Baidufp8$0.504$1.581.0Mfp8100.0%
StreamLakefp8$0.56$1.761.0Mfp899.87%
Decartfp4$0.72$1.801.0Mfp4100.0%
DigitalOcean$0.70$2.20262K99.30%
DeepInfrafp4$0.75$2.401.0Mfp495.77%
CoreWeavefp4$0.76$2.42262Kfp4100.0%
AkashMLfp8$0.77$2.4297Kfp8100.0%
Inceptronfp4$0.75$2.901.0Mfp496.20%
GMICloudfp8$0.924$2.901.0Mfp899.56%
Alibabafp8$0.966$3.041.0Mfp899.90%
Sail Researchfp8$0.90$3.151.0Mfp8100.0%
Phala$1.13$3.561.0M98.06%
SiliconFlowfp8$1.19$3.741.0Mfp898.10%
Wafer$1.26$3.961.0Mfp4100.0%
AtlasCloudfp8$1.26$3.961.0Mfp8100.0%
Morph$1.10$4.101.0M95.56%
Ambientfp8$1.05$4.40203Kfp866.41%
Z.AIfp8$1.40$4.401.0Mfp8100.0%
Fireworks$1.40$4.401.0M99.92%
Cloudflare$1.40$4.40262K
Friendli$1.40$4.401.0M98.16%
Parasailfp4$1.40$4.40262Kfp40.00%
Venicefp8$1.40$4.401Mfp898.51%
Together$1.40$4.40512K82.81%
Crusoefp8$1.40$4.401.0Mfp897.00%
BaseTenfp8$1.40$4.401.0Mfp899.92%
Waferfast$2.10$6.601.0Mfp4100.0%
Fireworksfast$2.10$6.601.0M96.41%
Cloudflarefast$2.10$6.60262K99.51%
BaseTenfast$2.10$6.60524Kfp8100.0%
Alibabafast$2.31$7.261.0Mfp899.82%

Hugging Face Inference Providers

Exact repository identity

Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.

ProviderInputOutputContextTTFTThroughputFeatures
deepinfra
live
$0.75$2.401.0M878 ms19.9 tok/stools · structured
baseten
live
$1.40$4.401.0M950 ms59.0 tok/stools · structured
fireworks-ai
live
$1.40$4.401.0M1117 ms28.4 tok/stools · structured
novita
live
$1.40$4.401.0M2564 ms29.7 tok/stools
together
live
$1.40$4.40512K509 ms95.5 tok/stools · structured
scaleway
live
$2.05$6.27638 ms34.6 tok/stools · structured
featherless-ai
live
zai-org
live · model author
2528 ms59.1 tok/stools

Reasoning efforts

Best supported result can inform ModelCap

Published Max, X-High, High and other configurations for this model. These are sourced scores, not head-to-head essays.

EffortAgent scoreSource rankSampleSource
Max
GLM 5.2 (Max)
6.66%
CI 5.77.6%
#122.0M obs
48K sessions
LMArena Agent
Match 100%

Related community configurations

Human preference rating
ConfigurationRatingSource rankVotesSource
Max
glm-5.2-max
1471
CI 1466–1476
#3324KArena
Match 100%

Reported evaluation leads (8)

Excluded from score

Structured rows reported in this exact model repository at the pinned revision below. They are useful research leads, but remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
cais/hle
hle
40.5
Unpinned
not published
Reported
Quarantined
cais/hle
hle
54.7
Unpinned
not published
Reported
Quarantined
crosbylegal/RedlineBench
redline_overall
45.7
Unpinned
not published
Reported
Quarantined
datacurve/deep-swe
deep_swe
46.2
Unpinned
not published
Reported
Quarantined
Idavidrein/gpqa
diamond
91.2
Unpinned
not published
Reported
Quarantined
IntelligenceLab/Long-Horizon-Terminal-Bench
lhtb
31.6
Unpinned
not published
Reported
Quarantined
InternScience/ResearchClawBench
overall
20.7092
Unpinned
not published
Reported
Quarantined
ScaleAI/SWE-bench_Pro
SWE_Bench_Pro
62.1
Unpinned
not published
Reported
Quarantined

Other versions (5)

ModelCap Index · Current board

Methodology
83.3
Measured · 4 public benchmark observations across 4 boards
Current board
#14
Public rank basis
Measured (measured)
Index support
88.7% · strong
Index interval
83.3–89.1
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Identity binding
Exact catalogue product · z-ai/z-ai/glm-5.2 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata zai-org/GLM-5.2@b4734de4facf877f85769a911abafc5283eab3d9 (not the evaluation revision)
Direct benchmark observations
4
Breadth-adjusted BES point estimate
86.2
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
86.2
Evidence status
confirmed · 97% mass
General preference
88.5
Coding
85.4
Agents & tools
70.9
Reasoning
53.2
Evidence breadth
100%
Evidence coverage
89%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
68.5
Liquidity (providers × uptime)
96.6
Open reach (HF downloads)
77.2
Surface (context / tools / modalities)
85.0
Freshness
82.0
  • · OpenRouter popularity #6
  • · 27 live providers
  • · HF 30d downloads 2430330
  • · Catalogue: context 1048576, reasoning, tools
  • · First seen 2026-06-16

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

BES evidence selected · measured input only

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Deployment readiness

Metadata index
92.7
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
97.7
Evaluation provenance
89.2

Missing: artifactReproducibility.base-lineage, evaluationProvenance.evaluation-dataset-revisions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
77.5
OpenRouter weekly popularity
#6 of 298
Vercel token share · 7d
6.37%
Vercel request share · 7d
2.51%
Venue data through
2026-08-07

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

Configuration results available

Arena has published current community results for Max. No default-configuration result is published, so the raw Arena field stays configuration-specific. The strongest supported result can still inform ModelCap Score with reduced confidence.

Current board through 6 Aug 2026, 13:00 UTC

Market Gravity breakdown

Usage55%
68.5

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
96.6

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
77.2

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
82.0

Time since first public availability, on a six-month half-life.

Specification

Context window
1.0M tokens
Max output
131K tokens
Inputs
Text
Outputs
Text
Tokenizer
Other
Cached input tokens
$0.093 / 1M
First seen on OpenRouter
16 Jun 2026

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access
Open weights
Licence
mit
Pinned revision
b4734de4facf
Parameters
753.3B
Architecture
GlmMoeDsaForCausalLM
Model type
glm_moe_dsa
Hugging Face downloads (30d)
2.4M
Downloads (all time)
2.8M
Likes
5K
Repository
zai-org/GLM-5.2
Repository updated
2 Jul 2026, 08:08 UTC