Resources / Guide · 12 min read
How to Choose an LLM in 2026
A no-vendor-loyalty guide to picking between Claude, GPT, Gemini, Llama, and the open-source pack.
Stop picking the model first
Pick the workflow. Build the eval set. Then run the same prompts against three or four models and let the numbers decide. The "best model" question has no answer; the "best model for this job" question has data.
When Claude wins
Long-context reasoning, writing in a specific voice, careful instruction-following on long, structured prompts. Anthropic’s lineup punches above its weight on anything that needs nuance.
When GPT wins
Tool use, coding, multimodal tasks, the broadest ecosystem. If you need agents that call APIs reliably, OpenAI’s tool-calling is still the best in class.
When Gemini wins
Massive context windows, native Google integration, multimodal at low cost. Underrated for ingest-heavy workloads.
When open-source wins
When you cannot send data outside your VPC, or your volume makes per-token pricing brutal, or you need to fine-tune. Llama, Mistral, and Qwen all ship workable production models.
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