Compare LLM models

• GPT-5.6 Sol vs Claude Opus 5The flagship from each provider, and what the difference costs.$5.00 vs $5.00 per 1M input
• GPT-5.6 Terra vs Claude Sonnet 5The mid-tier option from each provider, where most production work lands.$2.00 vs $2.00 per 1M input
• GPT-5.6 Luna vs Claude Haiku 4.5The cheapest current model from each provider, for high-volume work.$0.20 vs $1.00 per 1M input
• Claude Opus 5 vs Claude Sonnet 5Whether the Opus tier earns its price over Sonnet.$5.00 vs $2.00 per 1M input
• GPT-5.6 Sol vs GPT-5.6 TerraHow far down the GPT-5.6 range you can go before it costs you.$5.00 vs $2.00 per 1M input
• GPT-4o vs GPT-4o miniThe classic cost-versus-capability split inside one family.$2.50 vs $0.15 per 1M input
• GPT-4 Turbo vs GPT-5.6 SolWhat migrating off a retiring model actually changes.$10.00 vs $5.00 per 1M input
• GPT-4o vs GPT-5.6 TerraWhether moving to the current generation is cheaper as well as newer.$2.50 vs $2.00 per 1M input
• GPT-4o vs Claude Sonnet 5The comparison most teams are actually choosing between.$2.50 vs $2.00 per 1M input
• GPT-4o vs Claude Opus 5A familiar workhorse against the most capable model on the list.$2.50 vs $5.00 per 1M input
• Claude Sonnet 5 vs Claude Haiku 4.5Where the drop from Sonnet to Haiku stops being worth the saving.$2.00 vs $1.00 per 1M input
• Claude Opus 5 vs Claude Haiku 4.5The widest price gap between two models from one provider.$5.00 vs $1.00 per 1M input
• GPT-4.1 vs GPT-4oTwo OpenAI models a generation apart, and which one a long prompt favours.$2.00 vs $2.50 per 1M input
• GPT-4.1 vs GPT-5.6 TerraWhether the current mid-tier is worth moving to from GPT-4.1.$2.00 vs $2.00 per 1M input
• GPT-3.5 Turbo vs GPT-5.6 LunaWhere to go when the cheapest old model is switched off.$0.50 vs $0.20 per 1M input
• GPT-4 Turbo vs GPT-4oThe other migration off GPT-4 Turbo, without changing generation.$10.00 vs $2.50 per 1M input
• GPT-5.6 Luna vs GPT-4o miniThe two cheapest OpenAI options, where volume makes the gap matter.$0.20 vs $0.15 per 1M input
• Gemini 3.1 Pro vs GPT-5.6 TerraTwo flagship-adjacent models priced identically on input, and where the bills diverge.$2.00 vs $2.00 per 1M input
• Gemini 3.1 Pro vs Claude Opus 5Google's flagship against Anthropic's, including the long-prompt surcharge only one of them charges.$2.00 vs $5.00 per 1M input
• Gemini 3.1 Pro vs GPT-5.6 SolThe two most capable models here, and what the flagship tier costs at each vendor.$2.00 vs $5.00 per 1M input
• Gemini 3.6 Flash vs GPT-4oThe fast tier from each provider, which is where most everyday API traffic actually goes.$1.50 vs $2.50 per 1M input
• Gemini 3.6 Flash vs Claude Sonnet 5The mid-tier choice between Google and Anthropic.$1.50 vs $2.00 per 1M input
• Gemini 3.1 Flash-Lite vs GPT-5.6 LunaThe cheapest current model from each of Google and OpenAI, for high-volume work.$0.25 vs $0.20 per 1M input
• Gemini 3.1 Flash-Lite vs Claude Haiku 4.5Budget against budget, where the per-token gap decides the whole bill.$0.25 vs $1.00 per 1M input
• Gemini 3.1 Pro vs Gemini 3.6 FlashThe two Gemini models people actually search for, and how far Flash gets you.$2.00 vs $1.50 per 1M input
• Gemini 3.6 Flash vs Gemini 2.5 FlashWhether the newer Flash earns five times the price of the one it replaced.$1.50 vs $0.30 per 1M input
• Gemini 3.1 Flash-Lite vs Gemini 2.5 FlashTwo Gemini models priced within a nickel of each other, a generation apart.$0.25 vs $0.30 per 1M input

These pairs are chosen rather than generated. Every combination of the models here would be more than fifty pages, most of them answering a question nobody asks — so any pair not listed can be compared directly in the full table, which prices all of them against the same prompt at once.