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  4. GLM 5.1
Z AI
Released April 7, 2026

GLM 5.1

GLM-5.1 by Z.ai is a flagship agentic engineering model: a 744B/40B-active MoE with SOTA SWE-Bench Pro results and sustained long-horizon optimization.

Visit Z AIAnnouncement
Inputs
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Outputs
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Model Overview

Capabilities, design details, and architectural traits

GLM 5.1 - Flagship Agentic Engineering Model

GLM-5.1 is Z.ai's next-generation flagship model for agentic engineering: an update to GLM-5 built specifically to stay effective on long-horizon coding and tool-use tasks where earlier models, including GLM-5 itself, tend to plateau.

Defining Characteristics

  • Sustained Long-Horizon Optimization: revisits its own reasoning and revises strategy through repeated iteration, sustaining optimization over hundreds of rounds and thousands of tool calls — performance keeps improving the longer it runs.
  • State-of-the-Art Agentic Coding: achieves SOTA performance on SWE-Bench Pro and leads GLM-5 "by a wide margin" on NL2Repo (repository generation) and Terminal-Bench 2.0 (real-world terminal tasks).
  • DeepSeek Sparse Attention MoE: built on the GLM-5 architecture, which integrates DeepSeek Sparse Attention (DSA) to reduce deployment cost while preserving long-context capacity.

Why It Exists

Built to fix a specific failure mode in prior models, including GLM-5: exhausting familiar techniques early and plateauing on agentic tasks, regardless of how much time or compute they're given.

Benchmark Performance

Independent evaluations · Artificial Analysis

41.0%
Intelligence
55.8%
Coding Index
30.6%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science86.8%
Humanity's Last Exam30.1%
SciCode - Scientific Coding43.8%
Instruction Following76.3%
Long Context Reasoning68.0%
τ²-Bench - Agentic Tasks97.7%
TerminalBench - System Control43.2%
Specs
Context window
203Ktokens
Input pricing
$1.39per 1M tokens
Output pricing
$4.40per 1M tokens
Cached input
$0.26per 1M tokens

Prices in USD.

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderZ AIAnthropicAnthropic
Release DateApril 7, 2026July 24, 2026June 9, 2026
Knowledge Cutoff-May 2026-
Context & Limits
Context Window203K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$1.39
Best Input Pricing
$5$10
Output Pricing
$4.40
Best Output Pricing
$25$50
Modalities
Inputs
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Outputs
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Benchmarks (0-100)
Intelligence Index36.3
63.1
Best Intelligence Index
62.1
Coding Index-
78.0
Best Coding Index
76.5
Agentic Index-
59.2
Best Agentic Index
56.6
GLM 5.1
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

84%
GLM 5.1
GPQA Benchmark
Score: 84%
GLM 5.1
93%
Claude Opus 5
GPQA Benchmark
Score: 93%
Claude Opus 5
93%
Claude Fable 5
GPQA Benchmark
Score: 93%
Claude Fable 5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

28%
GLM 5.1
Humanity's Last Exam
Score: 28%
GLM 5.1
55%
Claude Opus 5
Humanity's Last Exam
Score: 55%
Claude Opus 5
56%
Claude Fable 5
Humanity's Last Exam
Score: 56%
Claude Fable 5

Long Context Reasoning

Logical reasoning over long context windows.

54%
GLM 5.1
Long Context Reasoning
Score: 54%
GLM 5.1
76%
Claude Opus 5
Long Context Reasoning
Score: 76%
Claude Opus 5
77%
Claude Fable 5
Long Context Reasoning
Score: 77%
Claude Fable 5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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