AI Inference Guide: Every Model, Provider, and Price Compared
The definitive comparison of every major AI inference option -- from API services to local deployment. Filter by modality, find alternatives to any model, compare pricing, and check VRAM requirements.
By Jose Nobile | 2026-04-20 | 25 min read
Introduction
The AI inference landscape in April 2026 is vast and fragmented. Dozens of providers offer hundreds of models across text, code, image, video, speech, and music generation. Prices change weekly. New models launch daily. Keeping track of what is available, what it costs, and whether you can run it locally is a full-time job.
This guide solves that problem. Use the Interactive Model Finder below to filter by category, sort by price or quality, and instantly find alternatives to any model -- complete with relative quality scores, price comparisons, and local deployment requirements. Below that, you will find comprehensive tables for API providers, subscription services, local deployment software, VRAM requirements, and quality rankings.
All pricing data reflects publicly listed rates as of April 2026. Prices are per million tokens (MTok) for text models, per image for image generators, per minute for audio, and per second for video. Rankings use normalized scores from Artificial Analysis, LMSYS Arena, HumanEval, and MMLU.
Fine-tuning and inference are converging. Tools like Unsloth now serve as both fine-tuning frameworks and inference engines -- you can train a LoRA/QLoRA adapter with GRPO or DPO, export to GGUF or vLLM, and run the result locally with the same tool. Unsloth provides free Google Colab notebooks for Gemma 4 that run on a T4 GPU with just 8 GB of VRAM, training 1.5x faster and using 50% less memory than standard methods. For production deployment, fine-tuned LoRA adapters can be served on Cloudflare Workers AI (open beta, supports Mistral/Gemma/Llama base models) or through vLLM and Ollama. See the training guide for fine-tuning services.
Tip: Click any model card to expand its detail panel with providers, GPU performance, engine compatibility, benchmarks, and alternatives.
April 2026 highlights: Claude Opus 4.7 launched April 16 with an xhigh effort level, task budgets for autonomous workloads, and 2,576px vision -- at the same $5/$25 per MTok pricing as Opus 4.6. OpenAI shipped GPT-5.4 (March 5) with built-in computer use and a 33% reduction in factual errors; GPT-5.4 Thinking leads LMSYS Arena. Anthropic eliminated long-context surcharges on March 13 -- a 900K-token Opus request now costs the same per-token rate as a 9K-token request. The Anthropic advisor tool (beta, April 9) pairs Sonnet as executor with Opus as advisor, scoring 74.8% on SWE-bench Multilingual while costing 11.9% less than Opus solo. Enterprise billing shifted to pure usage-based on April 16, ending bundled-token seat deals.
Interactive Model Finder
Filter by category, sort by any metric, and click any card to see detailed providers, GPU performance, engine compatibility, and alternatives.
Composite = average score across enabled benchmarks. Toggle benchmarks to see how rankings change.
API Providers Comparison
Click any model in the finder to see every API provider, pricing, cache discounts, and free tiers side by side.
Subscription Services
The finder includes full subscription tier details -- token economics, value ratios, and model access -- for ChatGPT, Claude, Gemini, Perplexity, and more.
Local Deployment Options
Filter by "Localhost Only" in the finder to see every model you can run locally, with engine compatibility (Ollama, vLLM, llama.cpp, LM Studio, and more).
VRAM Requirements
Sort by VRAM in the finder to see memory requirements at Q4, Q8, and FP16 for every local model, with recommended GPU pairings.
GPU Buying & Rental Guide
Click any model card to see GPU performance data, consumer GPU pricing, and cloud rental rates from every major provider.
Model Performance by GPU
Each model card's detail panel shows real-world tok/s benchmarks across consumer and datacenter GPUs.
Rankings
Use the benchmark toggles in the finder to see rankings from LMSYS Arena, HumanEval, SWE-bench, MMLU-Pro, GPQA Diamond, and more. Toggle individual benchmarks to see how composite scores change.