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Which language model works best for your prompt? What are the biases inherent in each? Compare the latest models from Google, Deepseek, OpenAI, Mistral, Meta, OpenAI and Anthropic with more LLMs being added each month. If you are looking for local language models we now also host Sarvam and SEA-LION!
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Examples
API
9mo ago
GPT-5
GLM 5.1
Apertus 70B Instruct • in🇨🇭
Sarvam M • in 🇮🇳
Qwen3.6 Plus
o4-mini Thinking
o4-mini
o3
GPT-Realtime-Mini
GPT-Realtime 2
GPT-Realtime 1.5
GPT OSS 20B • in 🇬🇧
GPT-OSS-120b
GPT-5 Chat
GPT-5.5 (Thinking)
GPT-5.4 Nano
GPT-5.4 Mini
GPT-5.4
GPT 5.2 Thinking
GPT-4o Mini
GPT-4o
Kimi K2.6
Mistral Small 4
Mistral Medium 3.1
Mistral Large 3
Ministral 3 14B
MiniMax M2.7
Dhenu 3 Beta Preview
Gemma 4 31B
Gemma 4 26B
Gemini Live (Voice Only)
Gemini 3 Flash
Gemini 3.5 Flash
Gemini 3.1 Pro Preview
Gemini 3.1 Live (Voice Only)
Gemini 3.1 Flash-Lite
DeepSeek V4 Pro
Claude 4.8 Opus
Claude 4.7 Opus
Claude 4.6 Sonnet
SEA-LION v4
Llama3 8B CPT SEA-LIONv2.1 Instruct
AgriLLM Qwen-3 30B
language
string
text
⚙️ Settings
Avoid Repetition
———
JSON Object
Low
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High
Run cost = 2 credits
Breakdown: 1Cr for GPT-5 + 1Cr/run
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