ARC: AI2 Reasoning Challenge
Grade-school science multiple-choice questions partitioned into Easy and Challenge (hard) sets. ARC-Challenge is the standard evaluation variant.
Models ranked
8
tracked on this benchmark
Score band
98.3 – 78.6
best → lowest tracked
Snapshot trend
+10.96
May 28 → Oct 15 · 3 models
Leaderboard
Tracked models ranked by Accuracy (higher is better).
Notes: Cloudflare first-party HF card, Results > Decision Index table ('ARC-Challenge (accuracy)'). Posed as a decision over the benchmark's options in Cloudflare's internal run of the Decision Index 0.2.1 suite, not standard generative eval; not comparable to LLM rows without the variant.
Notes: Cloudflare first-party HF card, Results > Decision Index table ('ARC-Challenge (accuracy)'). Posed as a decision over the benchmark's options in Cloudflare's internal run of the Decision Index 0.2.1 suite, not standard generative eval; not comparable to LLM rows without the variant.
Notes: Cloudflare first-party HF card, Results > Decision Index table ('ARC-Challenge (accuracy)'). Posed as a decision over the benchmark's options in Cloudflare's internal run of the Decision Index 0.2.1 suite, not standard generative eval; not comparable to LLM rows without the variant.
How to read this benchmark
This benchmark scores models where higher is better. Use scores for directional filtering and shortlisting, not universal quality ranking; then validate pricing, context window, provider availability, and fit for your workload.
Trust this score when
- There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
- The model list covers the same version family you can actually deploy today.
- Top candidates overlap with your required routing and feature requirements.
Be cautious when
- There is only one benchmark snapshot or the dataset appears stale.
- The benchmark metric direction is opposite of your decision objective.
- The score difference between options is narrow and likely within implementation variance.
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Last reviewed: Apr 15, 2026