VENICE ATLAS · MODEL DOSSIER · GLM 5.1

Model overview

GLM 5.1

Name: GLM 5.1
Brand: venice.ai
Price: 1.5400 USD
Availability: InStock

GLM-5.1 is the next-generation large language model developed by Zhiyuan AI, featuring significantly enhanced reasoning capabilities, improved instruction following, and support for multiple languages. Supports large context windows for processing extensive text and detailed analysis with fast inference speed.

zai-org-glm-5-1 · venice.ai

Text · Venice catalog$1.54 per 1M tokensPrice on Venice AI

ModalityTextOn Venice AI

Primary price$1.54 per 1M tokensper 1M tokens

Context window200KMax tokens

Benchmarks18Benchmark results

Benchmark results

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

Vision#4227.23 rating Safety#201.61 rating Search#2019.04 rating

Agents3 results

Finance Agent v2finance-agent-v2 · agents

44.8%

ReportedOct 2026

TAU3-Benchtau3-bench · agents

70.6%

ReportedOct 2026

Toolathlontoolathlon · agents

40.7%

ReportedOct 2026

Coding3 results

CyberGymcybergym · code

68.7%

ReportedOct 2026

FrontierSWEfrontierswe · code

31.0%

ReportedOct 2026

NL2Reponl2repo · code

42.7%

ReportedOct 2026

Math5 results

AIME 2026aime-2026 · math

95.3%

ReportedOct 2026

HMMT 2025hmmt-2025 · math

94.0%

ReportedOct 2026

HMMT Feb 26hmmt-feb-26 · math

82.6%

ReportedOct 2026

IMO-AnswerBenchimo-answerbench · math

83.8%

ReportedOct 2026

LiveBenchlivebench · math

70.2%

ReportedOct 2026

Reasoning7 results

BrowseCompbrowsecomp · reasoning

79.3%

ReportedOct 2026

GPQAgpqa · reasoning

86.2%

ReportedOct 2026

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

52.3%

ReportedOct 2026

MCP Atlasmcp-atlas · reasoning

71.8%

ReportedOct 2026

SWE-Bench Proswe-bench-pro · reasoning

58.4%

ReportedOct 2026

Terminal-Bench 2.0terminal-bench-2 · reasoning

69.0%

ReportedOct 2026

Vending-Bench 2vending-bench-2 · reasoning

5,634.41

ReportedOct 2026

Learn what each benchmark measures ↗

Pricing detail

Input price per 1M tokens: $1.54
Output price per 1M tokens: $4.84
Cache read price per 1M tokens: $0.29
Blended price per 1M tokens (50/50): $3.19

Prices are published by Venice AI. Venice model page ↗

Capabilities

ReasoningFunction callingWeb search

Endpoint metadata

Privacy: private
Quantization: fp8
Maximum completion tokens: 80K
Uncensored: No
Beta: No
Mapping confidence: 100.0%

View model source ↗

All capabilities

Quantization: fp8
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: none, 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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