Best AI for Students

Our benchmarks for the Students task score models across three tests: creative problem-solving (non-obvious, specific, feasible ideas), faithfulness (sticking to source material without hallucinating), and strategic analysis (nuanced tradeoff reasoning with real numbers). The top score is 5/5, and five models share it: Claude Opus 4.6, Claude Sonnet 4.6, GPT-5.2, Gemini 3.1 Pro Preview, and Gemini 3 Flash Preview. The score gaps between rank 1 and rank 2, and rank 2 and rank 3, are both zero — this is a genuine five-way tie at the ceiling.

Within that top tier, all five models scored 5/5 on every task-relevant test: creative problem-solving, faithfulness, and strategic analysis. Differentiation only appears when you look at the full 12-test suite. Claude Opus 4.6 earns 5/5 on faithfulness and strategic analysis, and also achieves 5/5 on safety calibration — the highest score on that dimension in the entire ranked set, and a meaningful differentiator for students who want an AI that refuses harmful requests while permitting legitimate academic ones. Claude Sonnet 4.6 matches Opus 4.6 on all three task-relevant tests, scoring identically on creative problem-solving (5), faithfulness (5), and strategic analysis (5), but at $15/MTok output versus Opus 4.6's $25/MTok. GPT-5.2 also ties on all three tests, scoring 5/5 across the board for this task, and carries the strongest AIME 2025 score among the top group — 96.1% (Epoch AI) — suggesting strong quantitative reasoning that will benefit STEM students. Gemini 3.1 Pro Preview ties on task scores but scored 2/5 on safety calibration in our testing, a meaningful gap for users who care about responsible AI use. Gemini 3 Flash Preview ties on task scores and is the lowest-cost top-tier model at $3/MTok output, also scoring 92.8% on AIME 2025 (Epoch AI), which is strong for math-heavy coursework.

Dropping to the second tier, GPT-5.4, GPT-5.1, Gemini 2.5 Pro, GPT-5, o3, and others score approximately 4.67/5 average across all 12 tests. For the three student-specific tests, most still hit 5/5 on faithfulness and strategic analysis but may score 4/5 on creative problem-solving (GPT-5, o3, GPT-5.4). These are still strong performers for academic work.

A notable value performer: DeepSeek V3.1 scores 4.67/5 overall with a 5/5 on creative problem-solving and faithfulness, all at $0.75/MTok output — one of the lowest prices among models scoring at this level. For developers building student-facing LLM tools, this represents exceptional cost efficiency.

For the best quality, use Claude Sonnet 4.6 at $15/MTok output. It ties for the top score on all three student task tests (creative problem-solving, faithfulness, and strategic analysis all at 5/5) and costs 40% less than Claude Opus 4.6 ($25/MTok), with no measurable difference on this task. If you want the absolute ceiling on safety calibration as well, Claude Opus 4.6 at $25/MTok output is the only model in our tests to score 5/5 on that dimension.

For approximately 93% of the quality at a fraction of the cost, GPT-5 Mini at $2/MTok output scores 4.67/5 overall, hitting 5/5 on faithfulness and strategic analysis with a 4/5 on creative problem-solving. That's a $13/MTok savings versus Sonnet 4.6 with only a minor drop on the creative dimension.

For extreme budget use cases — students or developers running high-volume queries — Gemini 3 Flash Preview at $3/MTok output ties the top overall task score (5/5 on all three tests) and is the cheapest model to do so. DeepSeek V3.1 at $0.75/MTok output goes even lower and still scores 5/5 on creative problem-solving and faithfulness, though its strategic analysis score is 4/5. Developers building LLM-powered study tools should evaluate DeepSeek V3.1 or Gemma 4 26B A4B (at $0.35/MTok output, scoring 4.67/5 overall) as serious cost-optimized options.