Capability
Unranked
field median 58.1
Not eligible for a public rank
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Data as of August 14, 2026 · How the score is built
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
17 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
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.
Capability
Unranked
field median 58.1
Not eligible for a public rank
Price
API rate not published
input median $1
No comparable first-party hosted token rate
Speed
Not measured
field median 94 tok/s
Time to first token not measured
Context
1Mtokens
field median 200,000
Maximum output length is tracked separately
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.
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
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 |
|---|---|---|---|---|---|---|
| AgenticWeight 22%8 benchmarksVerified | Score pending | Not ranked | Not available | 22% | 8 benchmarks | Verified |
| CodingWeight 20%8 benchmarksVerified | Score pending | Not ranked | Not available | 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 |
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.
| 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 |
| 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 |
| 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 |
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 63.2 · $1.4 / $4.4
Aug 14, 2026 · you are here
GLM-5.3Not publicly ranked · Price not listed
flagship · 5.3
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track GLM-5.3, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
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 436 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Z.AI · Model release
GLM-5.3 has 17 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.
GLM-5.3 has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
GLM-5.3 has source-displayable benchmark coverage for agentic tool use and computer tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
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.
No. GLM-5.3 currently has 18 source-displayable rows across 436 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.
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.
Related resources
Last updated August 14, 2026. Runtime fields remain blank until a sourced snapshot exists.
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