Capability
62.5/100
field median 58
#48 of 224 ranked models
GLM-5.3
Released Aug 14, 2026 — see all recent releases
Decision reading
GLM-5.3 scores 62.5 out of 100 and ranks #48 of 224. This profile shows 17 source-displayable benchmark rows; its strongest eligible category is Agentic at #19. No comparable first-party API price is published in the catalog.
Data as of August 22, 2026 · How the score is built
Strongest published evidence
Agentic ranks #19. Particularly useful for coding agents, browser research, and computer-use workflows.
Validate before choosing
17 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Price
API rate not published
input median $1
No comparable first-party hosted token rate
Speed
93tok/s
field median 91.5 tok/s
First token 23.38 s
Context
1Mtokens
field median 200,000
Maximum output length is tracked separately
Capability shape
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
GLM-5.3 category percentile values
- Agentic87th percentile
- Coding78th percentile
- ReasoningNot eligible
- KnowledgeNot eligible
- MathNot eligible
- MultilingualNot eligible
- MultimodalNot eligible
- Instruction followingNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#19/137
- Coding#32/141
- ReasoningNot ranked
- KnowledgeNot ranked
- MathNot ranked
- MultilingualNot ranked
- MultimodalNot ranked
- Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible
How much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- Agentic8/8 verified
- Coding8/8 verified
- ReasoningNot measured
- KnowledgeNot measured
- MathNot measured
- MultilingualNot measured
- MultimodalNot measured
- Inst. FollowingNot measured
Verified sourceProvisionalNot measured
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- Not publishedZ.AI GLM-5.3 launch post
- Context window
- 1MZ.AI GLM-5.3 launch post
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not disclosed by the provider
- Availability
- Not sourced yet
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing recordZ.AI GLM-5.3 launch post
- Self-host
- Weights are not published
- Rate limits
- Not tracked yet
Category score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #19 of 137Percentile 87thWeight 22%8 benchmarksVerified | 60.6 | #19 of 137 | 87th | 22% | 8 benchmarks | Verified |
| CodingRank #32 of 141Percentile 78thWeight 20%8 benchmarksVerified | 60.8 | #32 of 141 | 78th | 20% | 8 benchmarks | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Benchmark ledger
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Coding8 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.1Terminal-Bench 2.1 (provider run) | Score88.2% | Versus best verified row Best verified: GLM-5.3 · 88.2% | GapBest verified | WeightDisplay only | Provider exact |
| terminalBench3 | Score28.3% | Versus best verified row Best verified: GLM-5.3 · 28.3% | GapBest verified | WeightDisplay only | Provider exact |
| deepSwe | Score66.9% | Versus best verified row Best verified: GPT-5.6 Sol · 72.7% | Gap5.8 behind | WeightDisplay only | Provider exact |
| NL2Repo | Score58% | Versus best verified row Best verified: DeepSeek V4 Pro 0813 · 61.5% | Gap3.5 behind | WeightDisplay only | Provider exact |
| ProgramBenchProgramBench: Can Language Models Rebuild Programs From Scratch? | Score19.0% | Versus best verified row Best verified: Claude Opus 5 · 93.0% | Gap74 behind | WeightDisplay only | Provider exact |
| FrontierSWE | Score78.1% | Versus best verified row Best verified: Kimi K3 · 81.2% | Gap3.1 behind | WeightDisplay only | Provider exact |
| sweMarathon | Score42.5% | Versus best verified row Best verified: GLM-5.3 · 42.5% | GapBest verified | WeightDisplay only | Provider exact |
| PostTrain Bench | Score39.8% | Versus best verified row Best verified: GLM-5.3 · 39.8% | GapBest verified | WeightDisplay only | Provider exact |
Agentic8 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.1Terminal-Bench 2.1 (provider run) | Score88.2% | Versus best verified row Best verified: GLM-5.3 · 88.2% | GapBest verified | WeightDisplay only | Provider exact |
| terminalBench3 | Score28.3% | Versus best verified row Best verified: GLM-5.3 · 28.3% | GapBest verified | WeightDisplay only | Provider exact |
| CyberGym | Score84.5% | Versus best verified row Best verified: Fugu Cyber · 86.9% | Gap2.4 behind | WeightDisplay only | Provider exact |
| ExploitGym | Score15.0% | Versus best verified row Best verified: GPT-5.6 Sol · 33.7% | Gap18.7 behind | WeightDisplay only | Provider exact |
| Toolathlon-Verified | Score73.0% | Versus best verified row Best verified: Claude Opus 5 · 80.6% | Gap7.6 behind | WeightDisplay only | Provider exact |
| AutomationBench | Score48.2% | Versus best verified row Best verified: GLM-5.3 · 48.2% | GapBest verified | WeightDisplay only | Provider exact |
| Agents' Last Exam | Score28.5% | Versus best verified row Best verified: Qwen3.8 Max · 52.4% | Gap23.9 behind | WeightDisplay only | Provider exact |
| HLE w/ toolsHumanity's Last Exam with tools | Score62.5% | Versus best verified row Best verified: Claude Opus 5 · 64.7% | Gap2.2 behind | WeightDisplay only | Provider exact |
External signals1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| ExploitBenchExploitBench v8-bench | Score54% | Versus best verified row Best verified: Claude Mythos 5 · 78% | Gap23.6 behind | WeightDisplay only | Provider exact |
Lineage
The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Mar 1, 2026
GLM-5Score 65.4 · $1 / $3.2
Apr 7, 2026
GLM-5.1Score 66.7 · $1.4 / $4.4
Jun 16, 2026
GLM-5.2Score 63.0 · $1.4 / $4.4
Aug 14, 2026 · you are here
GLM-5.3Score 62.5 · Price not listed
flagship · 5.3
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
GLM-5.3 ranks #48 of 224 on the public leaderboard with a score of 62.53/100. It does not yet have enough sourced coverage for a verified position.
GLM-5.3 is a proprietary model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
GLM-5.3 sits in the GLM-5 family with GLM-5, GLM-5.2, GLM-5.1, GLM-5 (Reasoning), GLM-5-Turbo, GLM-5V-Turbo. Its explicit predecessor is GLM-5.2. 17 of 402 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Agentic at #19, while its lowest eligible position is Coding at #32. particularly useful for coding agents, browser research, and computer-use workflows.
Radar
Full release historyGLM-5.3 release history
GLM-5.3 released
Z.AI · Model release
Source confirmed
Frequently asked questions
How does GLM-5.3 perform overall in AI benchmarks?
GLM-5.3 ranks #48 out of 224 models on the public BenchAlign leaderboard, with a score of 62.53/100. Its evidence status is Estimated, and this profile shows 17 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is GLM-5.3 good for coding and programming?
GLM-5.3 ranks #32 out of 141 eligible models for coding and programming, with a public category score of 60.8/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is GLM-5.3 good for agentic tool use and computer tasks?
GLM-5.3 ranks #19 out of 137 eligible models for agentic tool use and computer tasks, with a public category score of 60.6/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Which sibling models are related to GLM-5.3?
GLM-5.3 belongs to the GLM-5 family. Related tracked variants include GLM-5, GLM-5.2, GLM-5.1, plus 3 more. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
Does GLM-5.3 have full benchmark coverage on BenchLM?
No. GLM-5.3 currently has 32 source-displayable rows across 402 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of GLM-5.3?
GLM-5.3 has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.
Last updated August 22, 2026. Runtime fields remain blank until a sourced snapshot exists.
Watch GLM-5.3 in the weekly brief
Get one weekly email when material rank, price, availability, or benchmark evidence changes are worth revisiting.
Read a sample issueJoin 2,000+ readers.