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Data as of September 28, 2026 · How the score is built

EstablishedProprietaryNon-Reasoning

Released Mar 1, 2026200K context

GLM-5V-Turbo

Decision readingGLM-5V-Turbo scores 48.9 out of 100 and ranks #91 of 209. This profile shows 2 source-displayable benchmark rows. API pricing is $1.2 input and $4 output per million tokens.

Released Mar 1, 2026 — see all recent releases

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.

Capability

48.9/100

field median 50.5#91 of 209 ranked models

Public

#91of 209

Verified —

Price

$1.20input / $4 output

input median $1blended $2.60

Speed

Not measured

field median 95 tok/sTime to first token not measured

Context

200Ktokens

field median 256,000Reported for this model; direct source link not stored

Strongest published evidence

Published rows are visible, but no category has enough eligible evidence for a comparative rank.

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

Follow model changes

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 scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank Not rankedWeight 22%2 benchmarksVerified
57.1
CodingWeight 20%0 benchmarksNot measured
Not measured
ReasoningWeight 17%0 benchmarksNot measured
Not measured
MultimodalWeight 12%0 benchmarksNot measured
Not measured
KnowledgeWeight 12%0 benchmarksNot measured
Not measured
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingWeight 5%0 benchmarksNot measured
Not measured
MathWeight 5%0 benchmarksNot measured
Not measured

2 of 486 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

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.

  1. Agentic2/2 verified
  2. CodingNot measured
  3. ReasoningNot measured
  4. MultimodalNot measured
  5. KnowledgeNot measured
  6. MultilingualNot measured
  7. Inst. FollowingNot measured
  8. MathNot measured
Verified sourceProvisionalNot 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.

Agentic2 rows
Agentic benchmark values, best verified comparison, weight, and source status
Claw-EvalScore53.8%Versus best verified row

Best verified: Ornith-1.5-397B · 81.4%

Gap27.6 behindWeightDisplay only
Benchmark exact
Gert LabsGert Labs Composite Game BenchmarkScore30.76%Versus best verified row

Best verified: Claude Opus 4.8 · 72.97%

Gap42.2 behindWeightDisplay only
Benchmark exact

Bars run 0–100; the dark tick marks the best source-verified value

All 2 rows

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.

Current modelExplore all models

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.

2030405060708090100$0.10$0.50$1$5$10$25$50$100↘ frontierGLM-5V-Turbo

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
Not sourced yet
Output modalities
Not sourced yet
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 #91 of 209 on the public leaderboard with a score of 48.87/100. 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-Flash, GLM-5.3, GLM-5-Turbo, GLM-5 (Reasoning). 2 of 486 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Last updated September 28, 2026. Runtime fields remain blank until a sourced snapshot exists.

Questions

How does GLM-5V-Turbo perform overall in AI benchmarks?

GLM-5V-Turbo ranks #91 out of 209 models on the public BenchAlign leaderboard, with a score of 48.87/100. 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 across 486 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-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.

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