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India Loves Llama, But Flirts with Mistral and Qwen
- Indian AI startup Sarvam AI launches Sarvam-M, a language model built on Mistral, offering improvements on Indian language benchmarks.
- Mistral Small competes with larger models like Llama and Qwen, showing strong performance but faster speed.
- Mistral releases models like Mistral Medium 3, Devstral, Mistral Document AI, and Mistral Saba for South Asian languages.
- Mistral Saba excels in Indic languages, particularly South Indian languages such as Tamil.
- Developers praise Mistral for its speed, quick response time, and efficiency in constrained environments.
- Indian developers prefer Mistral for tasks involving Indic language understanding and generation, comparing it with Llama and Qwen.
- Some developers switch to Llama and Qwen models for research purposes, citing broader coverage of needs.
- Alibaba's Qwen3 models gain popularity, surpassing competitors like Google's Gemini and OpenAI's models on benchmarks.
- Fractal launches Fathom-R1-14B model in India, offering strong mathematical reasoning performance at a lower cost.
- India's AI landscape is evolving towards smarter and faster solutions tailored to address unique challenges.
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