GLM 5.3 Prime
z-ai/glm-5.3-prime- Z.ai
- Family · GLM 5 Prime
- Text → Text
- Reasoning · adjustable
- Tools
Not on OSMEXO yet
Spec & list price
Context1M
Max output128K
Input / 1M$2.80
Output / 1M$8.803.1× input
Usage
Tokens / day3.5B▼ 22% 7d
Usage rank#137
Requests / day41.0K
Tool calls / req0.58
Per request · 30 days
Avg input83.6K5.6× median
Avg output1.0K1.5× median
Cache hit95%1.4× median
Reasoning share73%1.3× median
Tool-call failures1.6%0.9× median
Consumption
Peak 18.9B 7 OctLow 3.5B 1 NovRank today #137
News & trends
Trending · 14 days
- Kimi k3.1 vs Sonnet 5.5 vs GLM 5.3 Prime vs Mistral Large 44 views
- GPT-6 Astra vs GPT-6.1 Sol vs Qwen3.8 Max Prime vs GLM 5.3 Prime : 100 fois plus cher pour rien ?18 views
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
Speed
Output speed#60/334101 tok/s1.6× faster than median
First token#1290.82 s1.3× quicker than median
Technical details
- Reasoning
- on · max
- Tokenizer
- Other
- Moderation
- none
Reasoning effort
- max · default
- high
- low
Request parameters 16
- tools
- tool_choice
- response_format
- reasoning
- reasoning_effort
- include_reasoning
- temperature
- top_p
- top_k
- max_tokens
+6 more
- stop
- seed
- frequency_penalty
- logprobs
- presence_penalty
- top_logprobs
When to use
Best for
- Very long context tool-calling agents
- Reasoning with adjustable effort
- Large document and code analysis
Think twice for
- Image input
- Structured-output pipelines
- Cheapest high-volume chat
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