Z.ai: GLM 5.1

Public pricingIntelligence 79/100Large memoryगहरी सोचटूल उपयोग

Z.ai: GLM 5.1 एक टेक्स्ट मॉडल है, जिसे कोडिंग, डिबगिंग और तकनीकी कार्य के लिए बनाया गया है। यह मजबूत coding प्रदर्शन, 203K tokens का context और संतुलित लागत profile जोड़कर coding, debugging, and technical writing में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

Input

$1.05/1M

Output

$3.50/1M

Cached

$0.53/1M

Batch

$0.70/1M

Calculate your GLM 5.1 bill.

Set your workload — see cost at your exact volume.

What would GLM 5.1 cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

GLM 5.1 at a glance.

Memory

202,752

tokens

Max reply

65,535

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

—

Released

Apr 2026

Training cutoff

Dec 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aime_2025

    95.3

  • gpqa_diamond

    86.2

  • swe_bench_verified

    58.4

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick GLM 5.1

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

GLM 5.1 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, GLM 5.1 costs roughly $219 per month. Input is $1.05 /1M tokens and output is $3.50 /1M tokens.
GLM 5.1 has a 202,752-token context window (large memory — an entire book or large codebase). That means you can fit about 38,016 words of input and history in a single call.
Beyond text generation, GLM 5.1 supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
GLM 5.1 was released in April 2026, with training data cut off around December 2025.
Models in a similar class include GLM 5 Turbo, GLM 5V Turbo, GLM 4.6. The "Similar models" section below this FAQ links into each.

Still unsure?

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