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ModelCap

GLM 5.3

Arena #26Official publisher releaseRestricted license

Z.ai·#11 of 280 on the current board·cheaper than #10 Qwen3.8 Max (0902)

GLM 5.3 is a language model from Z.ai. It ranks #11 of 280 on ModelCap's current board, with an Index score of 80.0, measured on 4 public benchmarks. Its score range of 74.0–86.0 spans positions #3–#25. It is listed at $1.40 per million input tokens and $4.40 per million output tokens across 32 providers. It reads up to 1M tokens of context, and its weights are downloadable under a use-restricted licence.

Figures as of 2 Oct 2026, 22:55 UTC · download the public dataset · methodology

ModelCap Index · Current board
80.0#11
Measured on 4 public benchmarks · range 74.0–86.0
Evidence as of 30 Sept 2026, 00:00 UTC
Market Gravity
68.9
Secondary market signal
Input
$1.40
per 1M tokens
Output
$4.40
per 1M tokens
Context
1M
tokens
Providers
32
37 endpoints

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Baidufp8Cheapest$0.155$0.4881Mfp899.35%
Novitafp8$0.42$1.321Mfp899.92%
SiliconFlowfp8$0.70$2.201Mfp8100.0%
DeepInfrafp4$0.563$2.501Mfp4100.0%
Phala$0.84$2.641M—99.22%
DigitalOcean$0.91$2.861M—99.65%
InferenceNet$0.22$2.991M—98.65%
Waferus$0.22$2.991M—99.89%
Morphfp8$0.131$2.991Mfp8—
Reka$0.17$3.00262K—99.14%
GMICloudfp8$0.98$3.081Mfp8—
Inceptronfp4$0.60$3.391Mfp4100.0%
Wafer$0.222$3.391M—99.92%
Sail Researchus$0.20$3.401Mfp896.47%
Sail Researchfp8$0.20$3.401Mfp894.83%
AkashMLfp8$1.05$3.561Mfp8100.0%
Alibaba$1.19$3.741M—100.0%
Decartfp4$1.19$3.741Mfp499.92%
Makorafp4$0.24$3.93980Kfp499.12%
Friendli$1.26$3.961M—100.0%
Relace$0.12$4.001M—100.0%
AtlasCloudfp8$1.40$4.401Mfp877.69%
BaseTenfp4$1.40$4.401Mfp4100.0%
Cloudflare$1.40$4.401M——
Crusoefp4$1.40$4.401Mfp4100.0%
Fireworks$1.40$4.401M—100.0%
Mistralzdr$1.40$4.401Mnvfp4100.0%
Mistralnvfp4$1.40$4.401Mnvfp499.92%
Modal$1.40$4.401M—99.66%
Nebiusfp4$1.40$4.401Mfp4—
Parasailfp8$1.40$4.401Mfp8100.0%
PrimeIntellect$1.40$4.401M—99.60%
Together$1.40$4.401M—98.39%
Venice$1.40$4.401M—97.58%
Z.AIfp8$1.40$4.401Mfp899.91%
BaseTenfast$2.10$6.601Mfp8100.0%
Alibabafast$2.80$8.801M——

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
baseten
live
$1.40$4.401M2209 ms66.0 tok/stools · structured
novita
live
$1.40$4.401M1171 ms43.6 tok/stools · structured
together
live
$1.40$4.401M180 ms165.6 tok/stools
featherless-ai
live
——————
fireworks-ai
live
——1M678 ms46.6 tok/stools · structured
zai-org
live · model author
———2944 ms39.5 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 5.3 (Max)
2.57%
CI 1.9–3.3%
#218.5M obs
81K sessions
LMArena Agent
Match 100%

Related community configurations

Human preference rating
ConfigurationRatingSource rankVotesSource
Max
glm-5.3-max
1479
CI 1474–1485
#2617KLMArena
Match 100%

Reported evaluation leads (5)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
cais/hle
hle
—62.5
Unpinned
not published
Reported
Quarantined
datacurve/deep-swe
deep_swe
—66.9
Unpinned
not published
Reported
Quarantined
harborframework/terminal-bench
terminalbench_3
—28.3
Unpinned
not published
Reported
Quarantined
harborframework/terminal-bench-2.1
terminalbench_2_1
—88.2
Unpinned
not published
Reported
Quarantined
hkust-nlp/Toolathlon
toolathlon_verified
—73
Unpinned
not published
Reported
Quarantined

Other versions (6)

ModelCap Index · Current board

Methodology
80.0
Measured on 4 public benchmarks
Current board
#11 of 280
Score range
74.0–86.0
Rank range
#3–#25
Evidence as of
30 Sept 2026, 00:00 UTC
Benchmarks used
Arena Coding, Arena Overall, Artificial Analysis Intelligence Index, LMArena Agent
Technical details
Public rank basis
Measured (measured)
Evidence label
Measured · 4 public benchmark observations across 4 boards
Index support
85.4% · strong
Identity binding
Exact catalogue product · z-ai/z-ai/glm-5.3/fp8 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata zai-org/GLM-5.3@aca966e4e02791568aa6a4ced368624b3d897f42 (not the evaluation revision)
Index observations used
4
Qualified Index evidence point
80.0
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
80.0
Evidence status
confirmed · 94% mass
General preference
81.4
Coding
80.1
Agents & tools
52.5
Reasoning
—
Evidence breadth
97%
Evidence coverage
85%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
58.9
Liquidity (providers × uptime)
99.1
Open reach (HF downloads)
—
Surface (context / tools / modalities)
85.0
Freshness
84.2
  • · OpenRouter popularity #11
  • · 32 live providers
  • · Catalogue: context 1048576, reasoning, tools
  • · First seen 2026-08-18

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
85.2
strong · 89% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
67.5
Deployability
98.5
Evaluation provenance
83.1

Not yet published: the base model it derives from, a link to the licence terms, pinned evaluation dataset versions.

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

Market activity

Venue coverage
Market Gravity
68.9
OpenRouter weekly popularity
#11 of 342

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

Status
Ranked
Source
LMArena
Official rank
#26 of 410
Rating
1479.4
95% confidence interval
1474–1485
Votes
17K
Source published at
30 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
58.9

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
99.1

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

Open reach15%
50.0

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

Freshness5%
84.2

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

Specification

Model ID
z-ai/glm-5.3
Context window
1M tokens
Declared output cap
131K tokens

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text
Outputs
Text
Tokenizer
Other
Cached input tokens
$0.14 / 1M
First seen on OpenRouter
18 Aug 2026

Capabilities

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

Weights & access

Restricted license. Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment.

Access
Restricted license
Licence
glm-5.3
Pinned revision
aca966e4e027
Parameters
753.3B
Architecture
GlmMoeDsaForCausalLM
Model type
glm_moe_dsa
Hugging Face downloads (30d)
1.4M
Downloads (all time)
1.6M
Likes
2K
Repository
zai-org/GLM-5.3
Repository updated
4 Sept 2026, 06:41 UTC

Compare GLM 5.3 with

Pick any model

Benchmark leaderboards featuring GLM 5.3

All leaderboards
Public benchmark boards on which GLM 5.3 has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena text leaderboardArena (LMArena)14791474–1485#26 of 410Max30 Sept 2026
Arena coding leaderboardArena (LMArena)15211512–1531#32 of 405Max30 Sept 2026
LMArena Agent leaderboardLMArena2.6%1.9%–3.3%#21 of 46Max30 Sept 2026
Artificial Analysis Intelligence IndexArtificial Analysis44.8#36 of 195Max19 Sept 2026
Terminal-Bench 2.1 (Artificial Analysis run)Artificial Analysis83.9%#34 of 240Max1 Oct 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis42.3%#65 of 647Max30 Sept 2026
Terminal-Bench 4.0 leaderboardTerminal-Bench (Laude Institute)41.8%38.6%–45.1%#16 of 27Claude Code · Max14 Aug 2026

Alternatives to GLM 5.3, by the numbers

Ranked neighbours

Models within 3 places of #11 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked Z.ai models

The same publisher's other current models with a public Index position.

GLM 5.3: common questions

How does GLM 5.3 rank among AI models?

GLM 5.3 holds ModelCap Index position #11 of 280 ranked language models as of 2 October 2026, with an Index score of 80.0 (interval 74.0–86.0); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does GLM 5.3 cost per 1M tokens?

GLM 5.3 is listed at $1.40 per 1M input tokens and $4.40 per 1M output tokens as of 2 October 2026; the lowest output price among 32 providers is $0.488 on Baidu. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $5.00 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of GLM 5.3?

GLM 5.3 has a published context window of 1M tokens (1,048,576). The snapshot lists a 131,072 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Is GLM 5.3 open-weight?

Restricted license (glm-5.3). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is zai-org/GLM-5.3 on Hugging Face.

Which API providers serve GLM 5.3?

32 providers serve GLM 5.3 through OpenRouter as of 2 October 2026: Relace, Morph, Baidu, Reka, Sail Research and Wafer and 26 more. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has GLM 5.3 been evaluated on?

GLM 5.3 has published results on 7 public boards tracked by ModelCap as of 2 October 2026: Arena text 1479 (#26 of 410), Arena coding 1521 (#32 of 405), LMArena Agent 2.6% (#21 of 46), AA Intelligence Index 44.8 (#36 of 195) and AA Terminal-Bench 2.1 83.9% (#34 of 240) and more. Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

How does GLM 5.3 compare with Gemini 3.1 Pro Preview?

GLM 5.3 ranks #11 (Index 80.0) and Gemini 3.1 Pro Preview ranks #12 (Index 79.2) on the ModelCap Index as of 2 October 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was GLM 5.3 released?

GLM 5.3 first appeared in the catalogue on 18 Aug 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.