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Pricing 101: Token Math & Cost-Per-Completion ExplainedPublished on 2026.01.13 by DeepInfraPricing 101: Token Math & Cost-Per-Completion Explained

LLM pricing can feel opaque until you translate it into a few simple numbers: input tokens, output tokens, and price per million. Every request you send—system prompt, chat history, RAG context, tool-call JSON—counts as input; everything the model writes back counts as output. Once you know those two counts, the cost of a completion is […]

From Precision to Quantization: A Practical Guide to Faster, Cheaper LLMsPublished on 2026.01.13 by DeepInfraFrom Precision to Quantization: A Practical Guide to Faster, Cheaper LLMs

Large language models live and die by numbers—literally trillions of them. How finely we store those numbers (their precision) determines how much memory a model needs, how fast it runs, and sometimes how good its answers are. This article walks from the basics to the deep end: we’ll start with how computers even store a […]

Nemotron 3 Nano vs GPT-OSS-20B: Performance, Benchmarks & DeepInfra ResultsPublished on 2026.01.13 by DeepInfraNemotron 3 Nano vs GPT-OSS-20B: Performance, Benchmarks & DeepInfra Results

The open-source LLM landscape is becoming increasingly diverse, with models optimized for reasoning, throughput, cost-efficiency, and real-world agentic applications. Two models that stand out in this new generation are NVIDIA’s Nemotron 3 Nano and OpenAI’s GPT-OSS-20B, both of which offer strong performance while remaining openly available and deployable across cloud and edge systems. Although both […]

Nemotron 3 Nano Explained: NVIDIA’s Efficient Small LLM and Why It MattersPublished on 2026.01.13 by DeepInfraNemotron 3 Nano Explained: NVIDIA’s Efficient Small LLM and Why It Matters

The open-source LLM space has exploded with models competing across size, efficiency, and reasoning capability. But while frontier models dominate headlines with enormous parameter counts, a different category has quietly become essential for real-world deployment: small yet high-performance models optimized for edge devices, private on-prem systems, and cost-sensitive applications. NVIDIA’s Nemotron family brings together open […]

GLM-4.6 vs DeepSeek-V3.2: Performance, Benchmarks & DeepInfra ResultsPublished on 2026.01.13 by DeepInfraGLM-4.6 vs DeepSeek-V3.2: Performance, Benchmarks & DeepInfra Results

The open-source LLM ecosystem has evolved rapidly, and two models stand out as leaders in capability, efficiency, and practical usability: GLM-4.6, Zhipu AI’s high-capacity reasoning model with a 200k-token context window, and DeepSeek-V3.2, a sparsely activated Mixture-of-Experts architecture engineered for exceptional performance per dollar. Both models are powerful. Both are versatile. Both are widely adopted […]

LLM API Provider Performance KPIs 101: TTFT, Throughput & End-to-End GoalsPublished on 2026.01.13 by DeepInfraLLM API Provider Performance KPIs 101: TTFT, Throughput & End-to-End Goals

Fast, predictable responses turn a clever demo into a dependable product. If you’re building on an LLM API provider like DeepInfra, three performance ideas will carry you surprisingly far: time-to-first-token (TTFT), throughput, and an explicit end-to-end (E2E) goal that blends speed, reliability, and cost into something users actually feel. This beginner-friendly guide explains each KPI […]