VENICE ATLAS · MODEL DOSSIER · GLM 4.7

Model overview

GLM 4.7

Name: GLM 4.7
Brand: venice.ai
Price: 0.5500 USD
Availability: InStock

GLM-4.7 is a large language model developed by Zhiyuan AI, featuring strong reasoning capabilities and support for multiple languages. Supports the largest context window for processing extensive text and detailed analysis.

zai-org-glm-4.7 · venice.ai

Text · Venice catalog$0.55 per 1M tokensPrice on Venice AI

ModalityTextOn Venice AI

Primary price$0.55 per 1M tokensper 1M tokens

Context window198KMax tokens

Benchmarks13Benchmark results

Benchmark results

See the tests behind each score. They use the benchmark’s original scoring scale.

Frontend Development#2318.46 rating Legal#1625.34 rating Math#3434.59 rating

General intelligence1 result

Tau-benchtau-bench · general

87.4%

ReportedOct 2026

Language1 result

MMLU-Prommlu-pro · language

84.3%

ReportedOct 2026

Math2 results

AIME 2025aime-2025 · math

95.7%

ReportedOct 2026

IMO-AnswerBenchimo-answerbench · math

82.0%

ReportedOct 2026

Reasoning9 results

BrowseCompbrowsecomp · reasoning

52.0%

ReportedOct 2026

BrowseComp-zhbrowsecomp-zh · reasoning

66.6%

ReportedOct 2026

GPQAgpqa · reasoning

85.7%

ReportedOct 2026

Humanity's Last Examhumanity's-last-exam · reasoning

42.8%

ReportedOct 2026

LiveCodeBench v6livecodebench-v6 · reasoning

84.9%

ReportedOct 2026

SWE-bench Multilingualswe-bench-multilingual · reasoning

66.7%

ReportedOct 2026

SWE-Bench Verifiedswe-bench-verified · reasoning

73.8%

ReportedOct 2026

Terminal-Benchterminal-bench · reasoning

33.3%

ReportedOct 2026

Terminal-Bench 2.0terminal-bench-2 · reasoning

41.0%

ReportedOct 2026

Learn what each benchmark measures ↗

Pricing detail

Input price per 1M tokens: $0.55
Output price per 1M tokens: $2.65
Cache read price per 1M tokens: $0.11
Blended price per 1M tokens (50/50): $1.60

Prices are published by Venice AI. Venice model page ↗

Capabilities

ReasoningFunction callingWeb search

Endpoint metadata

Privacy: private
Quantization: fp4
Maximum completion tokens: 16K
Uncensored: No
Beta: No
Mapping confidence: 100.0%

View model source ↗

All capabilities

Quantization: fp4
Supports E2 E E: No
Supports Vision: No
Supports X Search: No
Optimized For Code: No
Supports Log Probs: No
Supports Reasoning: Yes
Supports Web Search: Yes
Supports Audio Input: No
Supports Video Input: No
Default Reasoning Effort: low
Reasoning Effort Options: low, medium, high
Supports Multiple Images: No
Supports Response Schema: Yes
Supports Tee Attestation: No
Supports Function Calling: Yes
Supports Reasoning Effort: Yes

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