Data as of November 13, 2026 · How the score is built
Decision readingGLM-5V-Turbo scores 48.9 out of 100 and ranks #98 of 215. This profile shows 2 source-displayable benchmark rows; its strongest eligible category is Instruction Following at #74. API pricing is $1.2 input and $4 output per million tokens.
Email me when its price, rank or availability changes.
Capability
48.9/100
field median 49.4#98 of 215 ranked models
Public
#98of 215
Verified —
Price
$1.20input / $4 output
input median $0.60blended $2.60
Speed
Not measured
field median 92 tok/sTime to first token not measured
Context
200Ktokens
field median 256,000Reported for this model; direct source link not stored
Decision snapshot
Where this model sits in the ranked field, its strongest published evidence, and what to validate before choosing it. The marker compares it with the current ranked catalog, not with an absolute quality threshold.
Strongest published evidence
Instruction Following ranks #74. A well-rounded choice across a range of tasks.
Validate before choosing
2 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.
Source-linked · 2 displayable benchmark rows
Is GLM-5V-Turbo right for your job?
Its place on the LLM Selector’s job rankings, the same order the job pages publish. Describe your own job to see where it stands for that.
Where GLM-5V-Turbo ranks by benchmark score:
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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 Not rankedWeight 22%2 benchmarksVerified | 57.1 | 2 benchmarks | Verified | |||
| CodingRank #97 of 162Percentile 40thWeight 20%Not listedUnlisted sources | 33.3 | Not listed | Unlisted sources | |||
| ReasoningRank #90 of 160Percentile 44thWeight 17%Not listedUnlisted sources | 38.6 | Not listed | Unlisted sources | |||
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| KnowledgeRank #103 of 180Percentile 43rdWeight 12%Not listedUnlisted sources | 45.2 | Not listed | Unlisted sources | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingRank #74 of 157Percentile 53rdWeight 5%Not listedUnlisted sources | 74.0 | Not listed | Unlisted sources | |||
| MathWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured |
2 of 917 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow 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.
- Agentic2/2 verified
- CodingNot measured
- ReasoningNot measured
- MultimodalNot measured
- KnowledgeNot measured
- MultilingualNot measured
- Inst. FollowingNot measured
- MathNot measured
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-5V-Turbo category percentile values
- AgenticNot eligible
- Coding40th percentile
- Reasoning44th percentile
- MultimodalNot eligible
- Knowledge43rd percentile
- MultilingualNot eligible
- Instruction following53rd percentile
- MathNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- AgenticNot ranked
- Coding#97/162
- Reasoning#90/160
- MultimodalNot ranked
- Knowledge#103/180
- MultilingualNot ranked
- Inst. Following#74/157
- MathNot ranked
Benchmark ledger
Every result says who ran the test. Agentic opens by default. The tick marks the best source-verified result in the catalog; provisional leaders do not set the reference.
Agentic2 rows
| Benchmark | Score | Versus best verified row | Gap | Who ran it | Use in ranking |
|---|---|---|---|---|---|
| Claw-Eval | 53.8% | Best verified: Ornith-1.5-397B · 81.4% | Gap27.6 behind | Run by Claw-Eval | Shown only |
| Gert LabsGert Labs Composite Game Benchmark | 30.76% | Best verified: Claude Opus 4.8 · 72.97% | Gap42.2 behind | Run by Gert Labs | Shown only |
Every bar is benchmark-run or independent. Bars run 0–100; the dark tick marks the best source-verified value.
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.
GLM-5V-Turbo · 48.9 score · $2.60 blended per million tokens
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Horizontal: blended price per million tokens, log scale · Vertical: public score
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
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
- text, image, video, documentZ.AI GLM-5V-Turbo guide
- Output modalities
- textZ.AI GLM-5V-Turbo guide
- Parameters
- Not disclosed by the provider
- Availability
- Not sourced yet
- Cloud regions
- Not tracked yet
- Lifecycle
- Established
- 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
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-5V-Turbo ranks #98 of 215 on the public leaderboard with a score of 48.92/100. It does not yet have enough sourced coverage for a verified position.
GLM-5V-Turbo is a proprietary model with a 200K context window. No explicit reasoning mode is documented in this profile.
Official exact-value snapshot from Z.AI's GLM-5V-Turbo benchmark summary. BenchLM maps the published BrowseComp-VL score to BrowseComp and the published OSWorld score to OSWorld-Verified as display-compatible proxies. It also stores the published multimodal coding, multimodal tool-use, AndroidWorld, and WebVoyager results as display-only references outside ranking math.
GLM-5V-Turbo sits in the GLM-5 family with GLM-5, GLM-5.2, GLM-5.1, GLM-5.3, GLM-5 (Reasoning), GLM-5.3-Flash, GLM-5-Turbo. 2 of 917 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Instruction Following at #74, while its lowest eligible position is Knowledge at #103. a well-rounded choice across a range of tasks.
Last updated November 13, 2026. Runtime fields remain blank until a sourced snapshot exists.
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Where to run GLM-5V-Turbo by API
OpenRouter is the one host we track that publishes a per-token price for it. Prices read from each host’s own pages on November 11, 2026.
| Host | Input /1M | Output /1M | Cached /1M | Context |
|---|---|---|---|---|
| OpenRouter | $1.20 | $4.00 | $0.24 | 203K |
Questions
How does GLM-5V-Turbo perform overall in AI benchmarks?
GLM-5V-Turbo ranks #98 out of 215 models on the public BenchAlign leaderboard, with a score of 48.92/100. Its evidence status is Estimated, and this profile shows 2 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is GLM-5V-Turbo good for agentic tool use and computer tasks?
GLM-5V-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-5V-Turbo?
GLM-5V-Turbo belongs to the GLM-5 family. Related tracked variants include GLM-5, GLM-5.2, GLM-5.1, plus 4 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-5V-Turbo have full benchmark coverage on BenchLM?
No. GLM-5V-Turbo currently has 14 source-displayable rows. 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-5V-Turbo?
GLM-5V-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.