GLM 5.1
GLM 5.1: Balanced text generation for everyday tasks.
A tradução deste card ainda não está disponível; parte do conteúdo aparece em inglês.
- Janela de contexto (tokens)
- 200.000
- Inteligência
- 26.1
- Código
- 55.8
- Velocidade
- —–
- Custo/tarefa
- $0.025
GLM 5.1 is a text-focused AI model designed for a wide range of everyday writing and reasoning tasks. It delivers solid performance across general intelligence and coding benchmarks, making it a dependable choice for users who need consistent results without specialized tuning.
This model is best suited for tasks like drafting emails, summarizing articles, generating creative content, and assisting with basic programming questions. Its moderate speed and low cost make it practical for high-volume or budget-conscious projects.
What sets GLM 5.1 apart is its straightforward approach: it prioritizes reliability and accessibility over extreme specialization. It's an excellent entry point for users exploring AI-assisted creation or those who need a no-fuss tool for common text-based workflows.
- Drafting emails and messages
- Summarizing long documents
- Generating blog post ideas
- Answering general knowledge questions
- Writing simple code snippets
GLM 5.1 scores 41 on the intelligence index, indicating solid capability for everyday reasoning and comprehension tasks.
With a coding index of 55.8, it can assist with basic programming tasks and explain code concepts clearly.
At a reference cost of $0.0270 per typical task, it offers good value for routine text generation needs.
- Keep prompts clear and specific to get the most relevant responses.
- Use short, direct questions for best results in Q&A scenarios.
- Break down complex requests into smaller steps for better accuracy.
- Review and edit outputs for tone and accuracy before final use.
- Not suitable for complex multi-step reasoning or expert-level tasks.
- Output speed is extremely slow at 0 tokens per second, making real-time interactions impractical.
- May produce generic or less creative responses compared to specialized models.
Create a 5-point outline for a blog post about starting a small garden.
Turn this paragraph about photosynthesis into simple bullet-point notes.
Suggest a quick dinner recipe using chicken, rice, and broccoli.
A number that makes output reproducible; using the same seed and parameters gives the same result.
A list of sequences that will stop generation when encountered, useful for controlling output format.
Limits word choices to a cumulative probability; lower values (e.g., 0.5) produce more predictable text, higher values (e.g., 0.9) allow more variety.
Sets the maximum length of the generated response in tokens (roughly 0.75 words per token).
Controls randomness: lower values (e.g., 0.2) make output more focused, higher values (e.g., 0.8) make it more creative.
Os preços exibidos são o que você paga na Muitto. Sem surpresas.
What kind of tasks is GLM 5.1 best for?
It's best for everyday writing, summarization, and basic coding help.
Is GLM 5.1 good for creative writing?
It can generate creative content but may lack the flair of models specialized for storytelling.
How does GLM 5.1 compare to other text models?
It offers balanced performance at a low cost, making it a practical choice for routine tasks.