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Quick answers about AI API pricing, models, and cost optimization.
DeepSeek V4 Flash at $0.14 per million input tokens and $0.28 per million output tokens is currently the cheapest capable LLM API in 2026. For ultra-budget tasks, GPT-5 Nano offers $0.05/$0.40 per 1M tokens. Compare all 150+ models on CheapAPI.dev.
GPT-5 API costs $1.25 per million input tokens and $10.00 per million output tokens. GPT-5.5 costs $5.00/$30.00, and GPT-5 Nano is just $0.05/$0.40. Batch API offers 50% discount. See all OpenAI pricing on CheapAPI.dev.
Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens. Claude Opus 4.7 is $5.00/$25.00. Claude Haiku 4.5 is the cheapest at $1.00/$5.00. Anthropic also offers 50% batch discount and 90% prompt caching discount.
DeepSeek V4 Flash is the cheapest at $0.14/$0.28 per 1M tokens. Claude Sonnet 4.6 ($3/$15) and GPT-5 ($1.25/$10) cover mainstream workloads. For 1M input + 1M output: DeepSeek costs $0.42, GPT-5 costs $11.25, Claude Sonnet costs $18.00. Full comparison at CheapAPI.dev.
Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens. Gemini 2.5 Flash-Lite is cheaper at $0.10/$0.40. Gemini 2.5 Pro is $1.25/$10.00. Google offers generous free tiers.
Five proven strategies: 1) Use cheaper models for simple tasks (model routing saves 60-80%). 2) Enable prompt caching for 75-90% discount on repeated context. 3) Use batch API for 50% off non-urgent requests. 4) Cap max_tokens to avoid over-generation. 5) Switch from flagship to mid-tier models where quality is sufficient.