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  • Quickstart
    • 🧭Documentation Map
    • Setting Up
    • Supported SDKs
  • API REFERENCES
    • 📒All Model IDs
    • Text Models (LLM)
      • AI21 Labs
        • jamba-1-5-mini
      • Alibaba Cloud
        • qwen-max
        • qwen-plus
        • qwen-turbo
        • Qwen2-72B-Instruct
        • Qwen2.5-7B-Instruct-Turbo
        • Qwen2.5-72B-Instruct-Turbo
        • Qwen2.5-Coder-32B-Instruct
        • Qwen-QwQ-32B
      • Anthracite
        • magnum-v4
      • Anthropic
        • Claude 3 Haiku
        • Claude 3.5 Haiku
        • Claude 3 Opus
        • Claude 3 Sonnet
        • Claude 3.5 Sonnet
        • Claude 3.7 Sonnet
      • Cohere
        • command-r-plus
      • DeepSeek
        • DeepSeek V3
        • DeepSeek R1
      • Google
        • gemini-pro
        • gemini-1.5-flash
        • gemini-1.5-pro
        • gemini-2.0-flash-exp
        • gemini-2.0-flash-thinking-exp-01-21
        • gemini-2.0-flash
        • gemini-2.5-pro-exp
        • gemini-2.5-pro-preview
        • gemma-2
        • gemma-3
      • Gryphe
        • MythoMax-L2-13b-Lite
      • Meta
        • Llama-3-chat-hf
        • Llama-3-8B-Instruct-Lite
        • Llama-3.1-8B-Instruct-Turbo
        • Llama-3.1-70B-Instruct-Turbo
        • Llama-3.1-405B-Instruct-Turbo
        • Llama-3.2-11B-Vision-Instruct-Turbo
        • Llama-3.2-90B-Vision-Instruct-Turbo
        • Llama-Vision-Free
        • Llama-3.2-3B-Instruct-Turbo
        • Llama-3.3-70B-Instruct-Turbo
        • Llama-4-scout
        • Llama-4-maverick
      • MiniMax
        • text-01
        • abab6.5s-chat
      • Mistral AI
        • codestral-2501
        • mistral-nemo
        • mistral-tiny
        • Mistral-7B-Instruct
        • Mixtral-8x22B-Instruct
        • Mixtral-8x7B-Instruct
      • NVIDIA
        • Llama-3.1-Nemotron-70B-Instruct-HF
        • llama-3.1-nemotron-70b
      • NeverSleep
        • llama-3.1-lumimaid
      • NousResearch
        • Nous-Hermes-2-Mixtral-8x7B-DPO
      • OpenAI
        • gpt-3.5-turbo
        • gpt-4
        • gpt-4-preview
        • gpt-4-turbo
        • gpt-4o
        • gpt-4o-mini
        • gpt-4o-audio-preview
        • gpt-4o-mini-audio-preview
        • gpt-4o-search-preview
        • gpt-4o-mini-search-preview
        • o1
        • o1-mini
        • o1-preview
        • o3-mini
        • gpt-4.5-preview
        • gpt-4.1
        • gpt-4.1-mini
        • gpt-4.1-nano
      • xAI
        • grok-beta
        • grok-3-beta
        • grok-3-mini-beta
    • Image Models
      • Flux
        • flux-pro
        • flux-pro/v1.1
        • flux-pro/v1.1-ultra
        • flux-realism
        • flux/dev
        • flux/dev/image-to-image
        • flux/schnell
      • Google
        • imagen-3.0
      • OpenAI
        • dall-e-2
        • dall-e-3
      • RecraftAI
        • recraft-v3
      • Stability AI
        • stable-diffusion-v3-medium
        • stable-diffusion-v35-large
    • Video Models
      • Alibaba Cloud
        • Wan 2.1 (Text-to-Video)
      • Google
        • Veo2 (Image-to-Video)
        • Veo2 (Text-to-Video)
      • Kling AI
        • v1-standard/image-to-video
        • v1-standard/text-to-video
        • v1-pro/image-to-video
        • v1-pro/text-to-video
        • v1.6-standard/text-to-video
        • v1.6-standart/image-to-video
        • v1.6-pro/image-to-video
        • v1.6-pro/text-to-video
      • Luma AI
        • Text-to-Video v2
        • Text-to-Video v1 (legacy)
      • MiniMax
        • video-01
        • video-01-live2d
      • Runway
        • gen3a_turbo
        • gen4_turbo
    • Music Models
      • MiniMax
        • minimax-music [legacy]
        • music-01
      • Stability AI
        • stable-audio
    • Voice/Speech Models
      • Speech-to-Text
        • stt [legacy]
        • Deepgram
          • nova-2
        • OpenAI
          • whisper-base
          • whisper-large
          • whisper-medium
          • whisper-small
          • whisper-tiny
      • Text-to-Speech
        • Deepgram
          • aura
    • Content Moderation Models
      • Meta
        • Llama-Guard-3-11B-Vision-Turbo
        • LlamaGuard-2-8b
        • Meta-Llama-Guard-3-8B
    • 3D-Generating Models
      • Stability AI
        • triposr
    • Vision Models
      • Image Analysis
      • OCR: Optical Character Recognition
        • Google
          • Google OCR
        • Mistral AI
          • mistral-ocr-latest
      • OFR: Optical Feature Recognition
    • Embedding Models
      • Anthropic
        • voyage-2
        • voyage-code-2
        • voyage-finance-2
        • voyage-large-2
        • voyage-large-2-instruct
        • voyage-law-2
        • voyage-multilingual-2
      • BAAI
        • bge-base-en
        • bge-large-en
      • Google
        • textembedding-gecko
        • text-multilingual-embedding-002
      • OpenAI
        • text-embedding-3-large
        • text-embedding-3-small
        • text-embedding-ada-002
      • Together AI
        • m2-bert-80M-retrieval
  • Solutions
    • Bagoodex
      • AI Search Engine
        • Find Links
        • Find Images
        • Find Videos
        • Find the Weather
        • Find a Local Map
        • Get a Knowledge Structure
    • OpenAI
      • Assistants
        • Assistant API
        • Thread API
        • Message API
        • Run and Run Step API
        • Events
  • Use Cases
  • Capabilities
    • Completion and Chat Completion
    • Code Generation
    • Function Calling
    • Thinking / Reasoning
    • Vision in Text Models (Image-To-Text)
    • Web Search
    • Features of Anthropic Models
    • Model comparison
  • FAQ
    • Can I use API in Python?
    • Can I use API in NodeJS?
    • What are the Pro Models?
    • How to use the Free Tier?
    • Are my requests cropped?
    • Can I call API in the asynchronous mode?
    • OpenAI SDK doesn't work?
  • Errors and Messages
    • General Info
    • Errors with status code 4xx
    • Errors with status code 5xx
  • Glossary
    • Concepts
  • Integrations
    • 🧩Our Integration List
    • Langflow
    • LiteLLM
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  1. FAQ

Are my requests cropped?

Apilaplas API has a parameter called max_tokens. Usually, this parameter can be crucial if your requests are large and can lead to text cropping. This parameter controls the maximum number of input and output tokens combined that your model will use inside your request and can save your tokens if the generation is larger than you expect. Try to adjust it and see the result.

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Last updated 1 month ago