GLM 5.1
Z.ai · released Apr 7, 2026
GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on...
Specification
- Context window
- 205K
- Max output
- 131K
- Knowledge cutoff
- Not stated
- Parameters
- 753.9B
- Licence
- mit
- Serving providers
- 18
- Moderated
- No
- Uptime
- 100.0%
Intelligence
41.0
89th percentile
Coding
55.8
Coding Index
Agentic
30.6
Agentic Index
Output speed
67 t/s
Median across providers
Latency
289ms
Time to first token
Cost per task
$0.29
Estimated
Benchmarks
Where the score comes from
The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.
Evaluation scores
Percentage correct · higher is better
- τ²-bench (Telecom)97.7%
- GPQA Diamond86.8%
- IFBench76.3%
- AA-LCR (long context)68.0%
- SciCode43.8%
- Terminal-Bench Hard43.2%
- Humanity's Last Exam30.1%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| τ²-bench (Telecom) | 97.7% |
| GPQA Diamond | 86.8% |
| IFBench | 76.3% |
| AA-LCR (long context) | 68.0% |
| SciCode | 43.8% |
| Terminal-Bench Hard | 43.2% |
| Humanity's Last Exam | 30.1% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- Nex-N2-ProNex AGI41.7
- Inkling SmallThinking Machines41.2
- GPT-5.2-CodexOpenAI41.2
- 41.1
- GLM 5.1Z.ai41.0
- GPT-5.4 MiniOpenAI40.9
- GLM 5Z.ai40.6
- Qwen3.6 PlusQwen40.5
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| Nex-N2-Pro | 41.7 |
| Inkling Small | 41.2 |
| GPT-5.2-Codex | 41.2 |
| Qwen3.6 Max Preview | 41.1 |
| GLM 5.1 | 41.0 |
| GPT-5.4 Mini | 40.9 |
| GLM 5 | 40.6 |
| Qwen3.6 Plus | 40.5 |
Percentile among all indexed models
Pricing
What it costs to run
List prices per million tokens, plus what one representative task works out to.
List price
- Input / 1M tokens
- $0.952
- Output / 1M tokens
- $2.99
- Cached input / 1M
- $0.177
- Blended 3:1
- $1.46
One task, estimated
$0.29
- Input tokens
- 50,000
- Output tokens
- 80,000
- Profile
- Reasoning
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).
Serving providers
- Baidu
- StreamLake
- DigitalOcean
- Chutes
- GMICloud
- Wafer
- DeepInfra
- SiliconFlow
- Crusoe
- Phala
- AtlasCloud
- Alibaba
- Novita
- Nebius
- Parasail
- Friendli
- Z.AI
- Venice
Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.