Back to models
Intelligence Index
Reasoning setting
26.1
Measured · Artificial Analysis v4.3.2- API price from
- $1.40 in / $4.40 out / 1M tokZ.AI · direct API
- Context window
- 202.75K tok
Performance profile
ReasoningArchived source
86.8%
GPQA DiamondCodingArchived source
44.8%
SciCodeCost efficiencyArchived source
25.6pts / $
Intelligence ÷ eval costCapabilities
Context window
Modalities
Reasoning mode
Reasoning trade-offs
Source (opens in a new tab)GLM-5.1
Cost per task (USD)
GLM-5.1Thinking
- Intelligence Index
- 26.1
- Cost / task
- $1.02
- Evaluation time
- 17.9m
Pricing & access
API route
Z.AIAPI
Z.AIAPITier & contextStandard
USD per 1M tokens
- Input
- $1.40
- Output
- $4.40
- Cached input
- $0.26
Run locally
GGUF
Context
Estimated memory
~476.7 GiB
RAM + VRAM
Estimate assumptions
One text chat at the selected context, with a 16-bit cache and app allowance. Operating system and image processing are extra; optimized caches can use less.
512 GiB RAMwithout GPU offload
Memory budgetOne text chat
- Weights
- 432.6 GiB
- Context cache
- 0.8 GiB16-bit cache
- App allowance
- 43.3 GiB
- Download
- 464.5 GB11 files · keep together
- Disk space
- ~516 GB
Get GGUF (opens in a new tab)
Set up in Ollama · Q4_K_M · 8K context
Save the following as Modelfile. The context matches the estimate above.
FROM hf.co/unsloth/GLM-5.1-GGUF:Q4_K_M PARAMETER num_ctx 8192
Then run these commands in your terminal:
ollama create llmcurrent-local -f Modelfile ollama run llmcurrent-local
Ollama import instructions (opens in a new tab) · For LM Studio or Jan, open the app’s model search, enter unsloth/GLM-5.1-GGUF, choose Q4_K_M, and set context to 8,192 tokens in the app’s model settings. Software links above open each app’s setup guide.
Benchmarks
Full leaderboardSource (opens in a new tab)30.1%44.8%2.0%73.7%1,103 Elo
Humanity’s Last Exam
Frontier reasoning- 1Claude Opus 5.5Max61.4%
- 2Claude Fable 5.1Max59.1%
- 3Gemini 4 ArgonHigh57.1%
- 4Claude Sonnet 5.5Max55.0%
- 5GPT-6 AstraMax54.7%
- 6Muse Wonder FullMax53.6%
- 7GPT-6.1 SolMax52.9%
- 8Muse WonderMax50.1%
- 9MiMo-V2.6-ProReasoning49.4%
- 10Muse Spark 1.3Max48.7%
Peers use their best measured result on this benchmark.