
Cost Efficiency Leaderboard: Best AI Performance Per Dollar
Rankings of AI models by cost efficiency in May 2026, comparing performance per dollar across frontier and budget models. Updated with DeepSeek V4, GPT-5.5, and Kimi K2.6.
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Rankings of AI models by cost efficiency in May 2026, comparing performance per dollar across frontier and budget models. Updated with DeepSeek V4, GPT-5.5, and Kimi K2.6.

NVIDIA's first open omni-modal model: 30B total / 3B active hybrid Mamba-MoE that processes text, images, audio, and video in a single inference loop, with 9x higher throughput than comparable open omni models.

Mistral's first flagship merged model: a dense 128B with configurable reasoning, vision, and 77.6% SWE-Bench Verified, self-hostable on 4 GPUs.

Mistral releases Medium 3.5, a 128B open-weights model that scores 77.6% on SWE-Bench Verified, and pairs it with asynchronous cloud coding agents in Vibe that open pull requests on GitHub while you are away.

DeepSeek V4 ships in two open-weight MoE variants - V4-Pro at 1.6T/49B active and V4-Flash at 284B/13B active - both with 1M-token context and MIT license, released April 24, 2026.

Ideogram 3.0 is Ideogram AI's most capable text-to-image model, leading the field in typography accuracy at ~90-95% and offering production-ready API access at $0.03-$0.09 per image.

GPT-5.5 is OpenAI's first completely retrained base model since GPT-4.5, leading the field on agentic coding and computer use - but the doubled per-token pricing and delayed API access require careful evaluation.

XBOW's benchmarks show GPT-5.5 cuts vulnerability miss rate to 10%, matches Anthropic's restricted Mythos - and is available to all ChatGPT subscribers.

Anthropic's Project Deal experiment found that agents running stronger models consistently closed better transactions - and users represented by weaker agents had no idea.

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