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A comparison of small 2-10B LLM models on Hindi text using the best of LLaMA3, Gemma and Sarvam 2B
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Examples
API
1y ago
Sarvam 2B • sarvamai [Deprecated] | Llama 3 8B • Meta AI [Redirects to Llama 4 Maverick] | Gemma 7B • Google [Redirects to Gemma 2 9B] | Gemma 2 9B
GLM 5.1
Apertus 70B Instruct • in🇨🇭
Sarvam M • in 🇮🇳
Sarvam 2B • sarvamai [Deprecated]
Qwen 3.7 Max
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
NVIDIA Nemotron 3 Ultra
Kimi K2.6
Mistral Small 4
Mistral Medium 3.5
Mistral Medium 3.1
Mistral Large 3
Ministral 3 14B
MiniMax M3
MiniMax M2.7
Llama 3 8B • Meta AI [Redirects to Llama 4 Maverick]
Dhenu 3 Beta Preview
Gemma 7B • Google [Redirects to Gemma 2 9B]
Gemma 4 31B
Gemma 4 26B
Gemma 2 9B
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
⚙️ Settings
Avoid Repetition
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JSON Object
Run cost = 5 credits
Breakdown: 1Cr for Gemma 2 9B + 1Cr for Gemma 7B • Google [Redirects to Gemma 2 9B] + 1Cr for Llama 3 8B • Meta AI [Redirects to Llama 4 Maverick] + 1Cr for Sarvam 2B • sarvamai [Deprecated] + 1Cr/run
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