GPT-6 Luna is the best AI for studying on a budget. At $0.10/$0.50 per million tokens it is cheap enough for daily review sessions, and its 1.05M-token window holds a semester of notes, so practice questions can draw on everything you have covered. For visual material — diagrams, slides, lecture recordings — Gemini 3.8 Flash reads images and video directly. When a topic is genuinely hard, a stronger model such as Claude Sonnet 5.5 explains it better.
The safest studying default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
GPT-6 Luna is the strongest answer here for studying — pick it when quality of output matters more than the $0.10/1M/1M input you pay for it.
Claude Sonnet 5.5 is the cheaper way in for studying, at $2.00/1M/1M input against GPT-6 Luna's $0.10/1M/1M.
Gemini 3.8 Flash is the fastest of these for studying — worth it when latency is what the reader notices, not the last few points of reasoning depth.
GPT-6 Luna is the best daily study companion on a budget, with room for a whole course's notes.
Gemini 3.8 Flash is better when your material is slides, diagrams or recorded lectures.
A stronger model is worth it when the material is dense enough that better explanations save real time.
Use GPT-6 Luna for flashcards, quizzes and quick explanations.
Use Gemini 3.8 Flash or Gemini 3.1 Pro for lecture videos, giant notes and textbooks.
Use Claude Sonnet 5.5 when the subject is technical and a wrong explanation would cost you.
Switch the scoring lens to see whether the studying answer changes when cost, speed, or long-document depth leads the decision.
Anthropic / Balanced / Oct 10, 2026
Near-Opus 5.5 quality on scoped work at half the price.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
The work is long, ambiguous and multi-step — Anthropic positions Opus 5.5 for exactly that — or you need the lowest possible price, where Haiku 5.5 costs a twentieth as much.
Where the studying recommendation shifts once you weigh price or latency differently.
OpenAI's budget tier at half the old price.
Google's fast agentic workhorse — strong coding at Flash pricing.
Best for research and deep document analysis — 2M context at the best premium price.
Near-Opus 5.5 quality on scoped work at half the price.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| GPT-6 LunaOpenAI | $0.10/1M | $0.50/1M | $2.00 | 1.1M tokens | Very fast | 84 | 82 | 80 |
| Gemini 3.8 FlashGoogle | $0.75/1M | $3.75/1M | $15 | 1M tokens | Very fast | 92 | 86 | 89 |
| Gemini 3.1 ProGoogle | $2.00/1M | $12.00/1M | $44 | 2M tokens | Balanced | 80 | 82 | 99 |
| Claude Sonnet 5.5Anthropic | $2.00/1M | $10.00/1M | $40 | 1M tokens | Fast | 98 | 98 | 95 |
Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.
Why each one is on the shortlist for studying, what it is genuinely good at, and where we would steer you away from it.
The default answer for studying — 84/100 on the coding axis, and the model we would start with unless the price below rules it out.
OpenAI's September 22, 2026 low-cost reasoning model, replacing GPT-5.6 Luna at $0.10/$0.50 per 1M — half the predecessor's price, with the same 1.05M context.
You are choosing a budget model from scratch — Claude Haiku 5.5 costs the same and scores higher on Artificial Analysis's index.
A cheaper Luna rather than a smarter one. At $0.10/$0.50 it matches Claude Haiku 5.5 on price, but independent scoring puts Haiku 5.5 slightly ahead; choose Luna when you are already on the OpenAI stack.
Full pricing, benchmark table and release notes on the GPT-6 Luna page.
The fastest model in this shortlist for studying. Pick it when turnaround is what your readers or users notice.
Google's September 2, 2026 Flash model, positioned as the agentic workhorse of the Gemini 3 family — stronger coding and terminal work than 3.7 Flash at the same $0.75/$3.75 price.
You need long single responses (65K output cap) or your workload is output-heavy enough that its verbosity erases the per-token saving.
The fastest capable model in its price range. Gemini 3.8 Flash is the pick for multimodal and terminal-heavy agent work on a budget; just measure cost per task, not per token, because it writes a lot.
Full pricing, benchmark table and release notes on the Gemini 3.8 Flash page.
Also worth a look for studying, at 80/100 on the coding axis.
Best for research and deep document analysis — 2M context at the best premium price. Full Gemini 3.1 Pro review →
Where most budgets should land for studying — balanced-tier pricing, and still 98/100 on the coding axis.
Near-Opus 5.5 quality on scoped work at half the price. Full Claude Sonnet 5.5 review →
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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For studying, GPT-6 Luna (OpenAI) is our pick. OpenAI's budget tier at half the old price. It costs $0.1/1M input and $0.5/1M output tokens, with a 1.05M-token context window — enough headroom for all but the largest studying jobs. Gemini 3.8 Flash is the closest alternative if it doesn't fit your setup.
Because the work it is built for overlaps closely with studying: summarization, extraction and tagging at very high volume and routine steps inside agent pipelines where a Sol-tier model would be overkill. A cheaper Luna rather than a smarter one. At $0.10/$0.50 it matches Claude Haiku 5.5 on price, but independent scoring puts Haiku 5.5 slightly ahead; choose Luna when you are already on the OpenAI stack.
On a moderate month — 10M input and 2M output tokens — GPT-6 Luna runs about $2.00 at list price, with no batch or caching discounts applied, so treat that as a ceiling. It is also the cheapest option among the models compared here, so for studying there is no cost argument for dropping to something weaker.
Artificial Analysis scores it 38 on its Intelligence Index, behind Claude Haiku 5.5 (43) and Gemini 3.8 Flash (41). Prompts above 272K input tokens are billed at a higher rate. Avoid it if you are choosing a budget model from scratch — Claude Haiku 5.5 costs the same and scores higher on Artificial Analysis's index. None of that rules it out for studying on its own — but if one of those limits maps onto how you actually work, take the alternative on this page seriously rather than defaulting to the top pick.