Practical guides on token costs, API pricing comparisons, and cost optimization strategies for developers building with large language models.
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Comprehensive pricing analysis comparing DeepSeek V4.1 Flash ($0.15/M), Claude Sonnet 5 ($2.00/M), and GPT-4.1 ($2.00/M) with real-world prompt caching and agentic cost modeling.
TypeSafe AI's Jev brings $0.042/M input, 100% free output tokens, and sub-100ms decision latency — highlighting why the Jevons Paradox is exploding 2026 AI token volume.
Google's Gemini 3.8 Live brings native speech-to-speech AI at $3/M audio in and $12/M audio out (~$0.014/min). Full minute math, background thinking, and OpenAI Realtime comparison inside.
DeepSeek's new V4.1 Flash model delivers 1.05M context, native multimodal vision, and disruptive $0.15/M pricing ($0.003/M cache hit). Full pricing tiers and benchmarks inside.
Both cost $10/M input and $50/M output — but Claude Fable 5.1's 97.5% caching discount makes it 4× cheaper for RAG and agent workloads. Full pricing breakdown inside.
We ranked 15+ LLM APIs by cost-per-token for real production workloads. Gemini Flash, DeepSeek, and GPT-4o mini lead — but the winner depends on your use case.
A step-by-step guide to estimating input tokens, output tokens, and total monthly API spend for any LLM provider — with real formulas and worked examples.
From Batch API discounts to GPT-4o mini routing and prompt caching — these six strategies can cut your OpenAI API spend by more than half without sacrificing quality.
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