GPQA DiamondVerified
86.8%
GPQA Diamond (AA run)
Models / Zhipu
GLM-5.1
GLM · Released 2026-04-07
Z.ai's April 2026 flagship for long-horizon agentic engineering. Official docs list text input/output, 200K context, 128K maximum output, function calling, structured output, context caching, MCP, and open weights under the MIT license.
Long-horizon coding and autonomous agent model for Claude Code/OpenClaw-style workflows when you want open weights from the GLM line.
Composite55
Context200K
Input / 1M—
Output / 1M—
Knowledge cutoffopen
Output speed60 t/s
Statussolid
Family profile
Best published score in each covered benchmark family.
60/100 avg
- Reasoning
- 87
- Math
- 33
- Coding
- 45
- Agentic
- 62
- Long context
- 74
5 tested benchmark families
Editor's note
GLM-5.1 is the GLM tool to watch for long autonomous coding runs. Z.ai's own benchmark claims are strong, but we keep the tool at solid until independent score rows are imported into VerdictPal's ledger.Benchmark placements
Per-benchmark positions
Where GLM-5.1 places on each public benchmark source that publishes a row. Rank counts every model with a latest row in the same test — not a universal quality score.
| Benchmark | Family | Rank | Score | Source | Date |
|---|---|---|---|---|---|
| FrontierMath | Math | #14/ 15 | 33 | Epoch AI FrontierMath Tiers 1-3 (v2) CSV | 2026-08-15 |
| Terminal-Bench | Agentic | #51/ 167 | 62 | Artificial Analysis | 2026-09-28 |
| SciCode | Coding | #67/ 97 | 45 | Artificial Analysis | 2026-09-28 |
| GPQA Diamond | Reasoning | #77/ 184 | 87 | Artificial Analysis | 2026-09-28 |
| Humanity's Last Exam | Reasoning | #82/ 186 | 30 | Artificial Analysis | 2026-09-28 |
| AA-LCR | Long context | #98/ 184 | 74 | Artificial Analysis | 2026-09-28 |
| AA output speed | Performance | #101/ 195 | Artificial Analysis | 2026-10-12 |
Family context
Strongest rows in each family
The three highest-scoring models with pages in each capability family. Where GLM-5.1 shows up, it's highlighted.
ReasoningGLM-5.1 · 87
- 196
- 295
- 395
MathGLM-5.1 · 33
- 152
- 252
- 350
CodingGLM-5.1 · 45
- 174
- 273
- 370
AgenticGLM-5.1 · 62
- 191
- 289
- 389
Long contextGLM-5.1 · 74
- 189
- 286
- 385
Newest receipts
7 recentLast 120 days
Benchmark rows added to the public ledger for GLM-5.1 in the last 120 days. Older rows live in the full table below.
| Benchmark | Family | Score | Source | Days ago |
|---|---|---|---|---|
| AA output speed | Performance | 60 t/s | Artificial Analysis | 10 |
| AA-LCR | Long context | 73.67% | Artificial Analysis | 24 |
| GPQA Diamond | Reasoning | 86.8% | Artificial Analysis | 24 |
| Humanity's Last Exam | Reasoning | 30.1% | Artificial Analysis | 24 |
| SciCode | Coding | 44.8% | Artificial Analysis | 24 |
| Terminal-Bench | Agentic | 61.8% | Artificial Analysis | 24 |
| FrontierMath | Math | 33.45% | Epoch AI FrontierMath Tiers 1-3 (v2) CSV | 68 |
Family coverage
Best score per family
A high composite that hides a weak family is a trap. These bars surface the families where this model hasn't been publicly tested, and where it leads.
Price vs. performance
Where GLM-5.1 sits on the scatter
Hover any dot for name, score, and input price. Keyboard: tab through the top twelve, or use the ranking below.
AnthropicOpenAIGoogleAlibabaMetaZhipuxAIDeepSeekMiniMaxXiaomiMoonshotOtherMeituanMistralNVIDIACohere
Full benchmark ledger
Every catalog benchmark for GLM-5.1. Scores link to the original source; gaps mean no public row exists yet.
7 of 13 catalog benchmarks have a sourced row for GLM-5.1.
Reasoning
Humanity's Last ExamVerified
30.1%
HLE (AA run)
Math
FrontierMathVerified
33.45%
FrontierMath Tiers 1-3 (v2) best Epoch run
Coding
SciCodeVerified
44.8%
SciCode (AA run)
Agentic
Terminal-BenchVerified
61.8%
Terminal-Bench v2.1 (AA run)
Long context
AA-LCRVerified
73.67%
AA-LCR (AA run)
Performance
AA output speedVerified
60 t/s
Median output tokens/s (1k prompt, default provider)
Changelog
Version history
- Released GLM-5.1 with 200K context, 128K max output, long-horizon coding focus, and MIT-licensed open weights.
Sources
Where the numbers come from
- GLM-5.1 docs· checked 2026-06-14
- GLM-5.1 announcement· checked 2026-06-14
- GLM-5.1 on Hugging Face· checked 2026-06-14
- Artificial Analysis comparison· checked 2026-06-14
Questions this model page answers
Every answer below is assembled from the dated fields on this page. Nothing is written separately for search.
What is GLM-5.1?
GLM-5.1 is a Zhipu model: Z.ai's April 2026 flagship for long-horizon agentic engineering. Official docs list text input/output, 200K context, 128K maximum output, function calling, structured output, context caching, MCP, and open weights under the MIT license.
What is GLM-5.1 for?
Long-horizon coding and autonomous agent model for Claude Code/OpenClaw-style workflows when you want open weights from the GLM line.
What does GLM-5.1 cost?
GLM-5.1 lists — input and — output per 1M tokens. Pricing last checked 2026-06-14.
How large is the GLM-5.1 context window?
GLM-5.1 publishes a 200K token context window.
What is the VerdictPal status of GLM-5.1?
GLM-5.1 carries Solid status on the model atlas.
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