9 models in this directory cost 50¢ or less per million input tokens. DeepSeek V4-Pro is the most capable of them ($0.435/1M), Mistral Small 3.1 is the absolute cheapest at $0.1/1M, and GPT-5.6 Luna gives you the largest context window (1.05M tokens) at this price level.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
DeepSeek V4-Pro is the safest overall answer here when you want the strongest default instead of the lowest list price.
Mistral: Mistral Nemo is the lower-cost option to start with when you still need useful output at scale.
Gemini 3.1 Flash is the better pick when response speed matters more than maximum reasoning depth.
DeepSeek V3 is the most capable model under 50¢/1M — $0.27/1M input, $1.1/1M output, 128K context.
Mistral Small 3.1 is the absolute cheapest at $0.1/1M input — 100x cheaper than Claude Fable 5.
DeepSeek V3 is the strongest budget coding pick (coding score 87/100).
Choose DeepSeek V3 as your budget default — the best capability-per-dollar in this price band.
Choose Mistral Small 3.1 for very high-volume tasks like classification, tagging, and extraction.
Route hard tasks to a premium model and keep everything else here — a two-tier setup usually cuts spend 60–80%.
Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.
Google / Budget / Aug 15, 2026
Best cheap AI for broad day-to-day work — now with 1M context.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You need premium reasoning depth or the highest coding benchmark scores.
The fastest way to see where the recommendation shifts when your priority changes.
GPT-4o-class coding quality at under $0.30/1M — the best value in the directory.
Best cheap AI for broad day-to-day work — now with 1M context.
OpenAI's fastest, cheapest option for everyday high-volume tasks.
Best open-weight long-context option for self-hosted pipelines.
Ultra-cheap multimodal model for massive-volume, low-complexity pipelines.
80.6% SWE-bench Verified (self-reported) — reported as tied with Gemini 3.1 Pro
93.5% LiveCodeBench and Codeforces 3206 — elite competitive-coding results
1M context with 384K max output at $0.87/1M output — an order of magnitude cheaper than closed frontier models
Independent harnesses report much lower agentic scores than the self-reported numbers; trails GPT-5.6 and Opus-class on hard agentic evals
Peak-hour surge pricing doubles rates, a price increase is announced, and it's text-only (no vision)
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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DeepSeek V4-Pro — $0.435/1M input tokens with the highest capability average in this price band. Best open-weights flagship — near-frontier coding at a tenth of the price.
Mistral Small 3.1 at $0.1/1M input and $0.3/1M output. It handles ultra-high-volume classification well despite the price.
DeepSeek V4-Pro, with a coding score of 93/100 at $0.435/1M input.
Budget models trail flagships on hard reasoning, nuanced writing, and complex multi-step coding. Claude Fable 5, the current capability leader, scores 99/100 on average vs 86/100 for DeepSeek V4-Pro — use cheap models for volume, not for your hardest work.
Yes — usually 3–5x more. DeepSeek V4-Pro charges $0.435/1M input but $0.87/1M output, so long responses drive the real bill. Our API cost calculator models both sides.