#Local Inference — Kunal Ganglani

Llama 3 70B vs Qwen 3 32B (2026): Which Local LLM Actually Wins for Coding?

Llama 3 70B vs Qwen 3 32B: Which Local LLM Wins for Coding?

Qwen 3 32B wins for coding tasks and hardware-constrained setups; Llama 3 70B wins for ecosystem maturity, English-first workloads, and production integrations. Here's how to choose.

Phi-3 vs Gemma 3 in 2026: Which Small LLM Wins for Edge Inference?

AI and Machine Learning

Phi-3 vs Gemma 3: Which Small LLM Fits Edge Inference?

Phi-3 wins for ultra-constrained edge devices and Windows/Azure pipelines; Gemma 3 wins for multimodal tasks, Raspberry Pi deployments, and open-ecosystem flexibility. Here's the definitive breakdown.

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Gemma 12B vs GPT-4o Mini vs Claude Haiku: Local or API? I ran Gemma's 12B model locally via Ollama and compared it against GPT-4o Mini and Claude Haiku on real dev tasks — here's when the free… 7 min read
Mixtral 8x22B vs Llama 3 70B: MoE vs Dense for Production Mixtral 8x22B wins for throughput-hungry, cost-sensitive production APIs where sparse MoE compute matters. 11 min read
Gemma 3 vs Llama 3: Which Open Model Fits Your Hardware? Llama 3 wins for ecosystem depth, community tooling, and large-scale deployments; Gemma 3 wins for hardware efficiency, multimodal tasks… 12 min read