GLM 4.5
z-ai/glm-4.5- Z.ai
- Family · GLM 4
- Released 28 Jul 2025
- Open weights
- Text → Text
- Tools
Not on OSMEXO yet
Spec & list price
Context128K
Max output96K
Input / 1M$0.60
Output / 1M$2.203.7× input
Scores · standing
Intelligence12.8#200/489
Usage
Tokens / day150.1M▲ 52% 7d
Usage rank#283
Requests / day10.0K
Tool calls / req0.21
Per request · 30 days
Avg input13.1K0.9× median
Avg output1.1K1.6× median
Cache hit76%about median
Reasoning share65%1.1× median
Tool-call failures0.7%0.4× median
Consumption
Peak 568.9M 6 OctLow 96.3M 23 OctRank today #283
News & trends
2 mentions this weekGLM 4 family · videos, posts, articles · 30 days
Trending · 14 days · GLM 4 family
- DeepSeek 4.1 is the second model to be ranked in Bad. Where would you rank GLM 4.7?21 upvotes
- Stuck between GLM 4.7, 4.6, and Kimi K2.5. Also, which provider should I use between OpenRouter and DeepInfra?49 upvotes
News · latest from Z.ai
- Hermes and REA and GLM 5.3 = Reverse engineering TikTok app for less than $20scraping.club · 29 Oct
- GLM-5.3 Sometimes Considers How Train-Time Actions Shape Future Behaviorlesswrong.com · 27 Oct
- Cross-request KV cache exposure in the GLM-5.3 Workers AI model (155 responses)blog.cloudflare.com · 26 Oct
- ReplaySSM: Rethinking State Storage for Faster Hybrid-Model DecodingNVIDIA · 12 Oct
Benchmarks
bar = share of the top score · Benchmark data: Artificial AnalysisSpeed · median across providers, latest day
Output speed#305/33427 tok/s2.4× slower than median
First token#3084.01 s3.9× longer than median
#20 cheapest of 28 with a similar score
Value
Intelligence Index
Blended price per 1M tokens (log)
Family progress
Intelligence Index
- Family releases22.2
Technical details
- Tokenizer
- Other
- Knowledge cutoff
- 2024-12-31
- License
- MIT
- Parameters
- 358B
- Moderation
- none
- Downloads · likes
- 106.0K · 1.4K
Request parameters 9
- tools
- tool_choice
- response_format
- reasoning
- include_reasoning
- temperature
- top_p
- top_k
- max_tokens
Interesting facts
- 1.5× the output room of similar models (98.3K against a 65.5K median).
- Weekdays average 215.7M tokens a day against 241.9M on weekends.
When to use
Best for
- Math and science problem solving
- Coding assistants
- Tool-calling agents
- Self-hosted open-weight deployments
Think twice for
- Image understanding
- New projects (newer family members exist)
- Strict structured-output pipelines
- Hardest terminal-style agent runs
Research papers
Same family
GLM 4- 18.5
- 22.2
Alternatives
other vendors · similar capability- 13.1
- 15.6
- 10.2
- 13.7
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