Capability
65.9/100
field median 57.2
#29 of 215 ranked models
Model profile · Z.AI
GLM-5-Turbo
CurrentReleased Mar 1, 2026ProprietaryReasoning200K context
GLM-5-Turbo scores 65.9 out of 100 and ranks #29 of 215. This profile shows 1 source-displayable benchmark rows. API pricing is $1.2 input and $4 output per million tokens.
Data as of July 29, 2026 · How the score is built
Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
1 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.
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
$1.20input / $4 output
input median $1
blended $2.60
Speed
Not measured
field median 107 tok/s
Time to first token not measured
Context
200Ktokens
field median 256,000
Reported for this model; direct source link not stored
What it costs to get this score
Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Current modelGLM-5-Turbo · 65.9 score · $2.60 blended per million tokens
Horizontal: blended price per million tokens, log scale · Vertical: public score
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.
- Agentic1/1 verified
- CodingNot measured
- 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 published
- Context window
- 200K
- 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 record
- 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 |
|---|---|---|---|---|---|---|
| AgenticWeight 22%1 benchmarkVerified | Score pending | Not ranked | Not available | 22% | 1 benchmark | Verified |
| CodingWeight 20%0 benchmarksNot measured | Not measured | Not ranked | Not available | 20% | 0 benchmarks | Not measured |
| 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
Agentic 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.
Agentic1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Claw-Eval | Score55.8% | Versus best verified row Best verified: Ornith-1.0-397B · 77.1% | Gap21.3 behind | WeightDisplay only | Benchmark 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 · you are here
GLM-5-TurboScore 65.9 · $1.2 / $4
Turbo
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-Turbo ranks #29 of 215 on the public leaderboard with a score of 65.92/100. Its source-verified position is #25 of 103.
GLM-5-Turbo is a proprietary model with a 200K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Official exact-value snapshot based on Z.AI's first-party ZClawBench summary for GLM-5-Turbo. BenchLM tracks the overall ZClawBench score as a display-only benchmark and does not include it in ranking math yet.
GLM-5-Turbo sits in the GLM-5 family with GLM-5, GLM-5.2, GLM-5.1, GLM-5 (Reasoning), GLM-5V-Turbo. 1 of 371 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Frequently asked questions
How does GLM-5-Turbo perform overall in AI benchmarks?
GLM-5-Turbo ranks #29 out of 215 models on the public BenchAlign leaderboard, with a score of 65.92/100. Its evidence status is Supported, and this profile shows 1 source-displayable benchmark row. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is GLM-5-Turbo good for agentic tool use and computer tasks?
GLM-5-Turbo 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.
Which sibling models are related to GLM-5-Turbo?
GLM-5-Turbo belongs to the GLM-5 family. Related tracked variants include GLM-5, GLM-5.2, GLM-5.1, plus 2 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-Turbo have full benchmark coverage on BenchLM?
No. GLM-5-Turbo currently has 13 source-displayable rows across 371 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-Turbo?
GLM-5-Turbo has a reported context window of 200K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.
Last updated July 29, 2026. Runtime fields remain blank until a sourced snapshot exists.
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