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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, SwissAI 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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3mo ago
GLM-5 | Apertus 70B Instruct • in🇨🇭 | GPT-OSS-120b | GPT-5.4 | Kimi K2.5 | Gemini 3.1 Flash-Lite | DeepSeek V3.2 | Claude 4.6 Sonnet
GLM 5.1
GLM-5
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
Kimi K2.5
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
DeepSeek V3.2
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
product
string
⚙️ Settings
Avoid Repetition
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JSON Object
Low
Medium
High
Run cost = 8 credits
Breakdown: 1Cr for Apertus 70B Instruct • in🇨🇭 + 1Cr for Claude 4.6 Sonnet + 1Cr for DeepSeek V3.2 + 1Cr for Gemini 3.1 Flash-Lite + 1Cr for GLM-5 + 1Cr for GPT-5.4 + 1Cr for GPT-OSS-120b + 1Cr/run
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