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Which language model works best your prompt? Compare your text generations across multiple large language models (LLMs) like OpenAI's evolving and latest ChatGPT engines and others like Curie, Ada, Babbage.
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8mo ago
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API
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GPT-4o-mini (openai)
GPT-4.1 (openai)
GPT-4.1 Mini (openai)
GPT-4.1 Nano (openai)
GPT-4.5 (openai)
o4-mini (openai)
o3 (openai)
o3-mini (openai)
o1 (openai)
o1-mini (openai)
GPT-4o (openai)
GPT-4o Audio (openai)
GPT-4o-mini Audio (openai)
DeepSeek R1
Llama 4 Maverick Instruct
Llama 4 Scout Instruct
Llama 3.3 70B
Pixtral Large 24/11
Mistral Large 24/11
Mistral Small 25/01
Gemma 2 9B (Google)
Gemini 2.5 Pro (Google)
Gemini 2.5 Flash (Google)
Gemini 2 Flash Lite (Google)
Gemini 2 Flash (Google)
Claude 4 Sonnet (Anthropic)
Claude 4 Opus (Anthropic)
Claude 3.7 Sonnet (Anthropic)
Llama3 8B CPT SEA-LIONv2.1 Instruct (aisingapore)
Sarvam M (sarvam.ai)
⏩ After
✨ Prompt
⏪ Before
Example POST Request
Log and return variables (Response Only)
FETCH API: Where is ISS?
Firebase RTDB POST (with Cryptohash)
Python Functions
ISDA Soil API
Google Search
Log variables
Save Copilot Data to an External Server Endpoint
Timezone conversion
Current Weather
CryptoJS Sha256 Hashing example
Functions Minimal Web Request
Add Function
Add
messages
string
Template variable
⚙️ Settings
Avoid Repetition
JSON Object
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The maximum number of tokens to generate in the completion. Increase to generate longer responses.
Higher values allow the LLM to take more risks. Try values larger than 1 for more creative applications or 0 to ensure that LLM gives the same answer when given the same user input.
How many answers should the copilot generate? Additional answer outputs increase the cost of each run.
Run cost = 2 credits
Breakdown: 1Cr for GPT-4o-mini (openai) + 1Cr/run
With each run, you agree to Gooey.AI's terms & privacy policy.
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