Claude Fable 5.2 from @AnthropicAI on ARC-AGI (Verified): - ARC-AGI-3: 97.7%, $18.6K (provider adapter harness), 81.2%, $21.9K (standard harness) - ARC-AGI-2: 93.8%, $0.98/task - ARC-AGI-1: 98.5%, $0.36/task Fable 5.2 sets a new high score on ARC-AGI-3 in the standard harness.

Inkling 2 Small from @thinkymachines on ARC-AGI (Verified): - ARC-AGI-2: 81.7%, $0.27/task - ARC-AGI-1: 96.5%, $0.08/task It outperforms every open-weight model we've evaluated on both ARC-AGI-1 & ARC-AGI-2. Thinking Machines plans to release its full weights next week.

Plotting ARC-AGI model scores reveals a strong relationship across all three benchmarks. For example, the power curve v2 = v1^4.53 explains about 98% of the variation in ARC-AGI-2 scores. Models tied on ARC-AGI-1 can still differ by over 20 percentage points on ARC-AGI-2.

DeepSeek V4.1 Flash 1017 from @deepseek_ai on ARC-AGI (Verified): - ARC-AGI-2: 78.1%, $0.16/task - ARC-AGI-1: 94.5%, $0.06/task The best ARC-AGI-2 scores for DeepSeek's Flash models rose from 61.4% (V4 Flash 0731) to 72.9% (V4.1 Flash) to 78.1% (V4.1 Flash 1017).

Gemini 4 Argon from @Google on ARC-AGI (Verified): - ARC-AGI-3: 97.5%, $4.8K (provider adapter harness), 49.8%, $5.8K (standard harness) - ARC-AGI-2: 91.3%, $0.32/task - ARC-AGI-1: 98.5%, $0.16/task Google DeepMind is the second frontier AI lab to score above 95% on ARC-AGI-3.

DeepSeek V4.1 Flash from @deepseek_ai on ARC-AGI (Verified): - ARC-AGI-3: 3.3%, $878 (provider adapter harness), 0.9%, $1.2k (standard harness) DeepSeek V4.1 Flash is the first model we've evaluated on ARC-AGI-3 to score above 3% for under $1k in total evaluation cost.

Announcing ARC Prize Research Summit 2026 Research Speaker Kevin Murphy @sirbayes is a research scientist at Google DeepMind and author of the “Probabilistic Machine Learning” textbooks, developing AI that learns causal world models through experimentation.

DeepSeek V4.1 Flash from @deepseek_ai on ARC-AGI (Verified): - ARC-AGI-2: 72.9%, $0.13/task - ARC-AGI-1: 94.5%, $0.07/task DeepSeek V4.1 Flash beats V4 Flash's best scores by 5.5 points on ARC-AGI-1 and 11.5 on ARC-AGI-2, but costs about 250% more per task.

Announcing ARC Prize Research Summit 2026 Keynote Speaker Kenneth Stanley @kenneth0stanley is a pioneer in neuroevolution and open-ended AI, co-creator of NEAT and novelty search, and co-author of “Why Greatness Cannot Be Planned.”

GPT-6.1 Sol from @OpenAI on ARC-AGI (Verified): - ARC-AGI-3: 52.7%, $7.6K (standard harness), 96.4%, $4.4K (provider adapter harness) - ARC-AGI-2: 94.2%, $0.25/task - ARC-AGI-1: 98.5%, $0.06/task Its 96.4% on v3 was comparable to GPT-6 Astra's 99.9% but at a 77% lower cost.

GLM 5.3 Flash from @Zai_org on ARC-AGI (Verified): - ARC-AGI-2: 65.8%, $0.09/task - ARC-AGI-1: 91.0%, $0.04/task GLM 5.3 Flash performs strongly on both benchmarks for under $0.10 per task.

Gemini 3.8 Flash from @Google on ARC-AGI (Verified): - ARC-AGI-3: 10.4%, $4.4K (standard harness), 35.0%, $4.5K (provider adapter harness) - ARC-AGI-2: 89.2%, $0.40/task - ARC-AGI-1: 98.5%, $0.21/task Gemini 3.8 Flash stands out for its low cost and high scores.

ARC Prize 2026 - ARC-AGI-3 Progress Prize - 9 day left $37,500 in prizes are being awarded on *Sept 30th* to the top open source solutions Current standings: 1. Tufa Labs 2. Lord Han Solo 3. NVARC3 Which top 3 will claim the open source prize?

ARC-AGI-4 will be a benchmark for autonomous open-ended innovation. It will continue our commitment to open-source, giving the research community a shared target for progress that benefits all of humanity. Despite rapid model progress, humans still significantly outperform AI at open-ended invention. This is the meta-skill that unlocks progress across every field of technology. Advanced AI capable of scientific innovation will lead to tremendous new technology, knowledge, and understanding. This is a positive-sum future. We are deeply committed to advancing it. Open source is the foundation for that progress. The knowledge behind frontier AI, not just the technology itself, should be broadly distributed among researchers, academics, and organizations. Any coordinated effort by the AI industry to reduce openness or concentrate access to frontier AI would undermine that positive-sum future. We are committed to advancing a future where everyone can contribute to and benefit from AI progress.

GPT-6 Astra by @OpenAI achieves SOTA on ARC-AGI: - Astra scores 63% on ARC-AGI-3, 99% via a new provider adapter harness - It surpasses human performance on 96% of ARC-AGI-3 levels - It builds the most precise symbolic model of novel environments we've seen Our analysis:

New ARC Prize 2026 - ARC-AGI-3 High Score 4.58% by @tufalabs Tufa Labs open-sourced their ARC-AGI-3 solution to claim Milestone Prize #1#. Others quickly built on top of it and pushed the scores higher. Now they’ve reclaimed 1st place.

Join @fchollet, @mikeknoop, and @GregKamradt and the rest of the ARC Prize Foundation team in a forum for researchers advancing this frontier Learn more: Join us: Apply to present:

ARC Prize Research Summit 2026 October 23, 2026 - Boston, MA The ARC Prize community comes together to share new work, challenge ideas, and advance the frontier of machine reasoning towards general intelligence

Gemini 3.7 Flash from @Google on ARC-AGI (Verified): - ARC-AGI-2: 84.6%, $0.25/task - ARC-AGI-1: 95.5%, $0.12/task Gemini 3.7 Flash stands out for its low cost and high scores on ARC-AGI-1 and ARC-AGI-2 relative to other frontier models.