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o3

Model ● Covered in 13 stories Compare ⇄ + Follow

o3 is OpenAI's reasoning-focused language model trained with reinforcement learning techniques that enable extended test-time computation for problem-solving. Recent deployments show the model being applied to diverse tasks including logical reasoning benchmarks where it achieves 5% accuracy on Sudoku puzzles, hiring decisions where it demonstrates higher bias than human raters, cybersecurity threat detection, code review and generation, and business applications through ChatGPT for Business, with the model representing a shift toward reinforcement learning-based reasoning approaches as alternatives to scaling conventional architectures.

Updated 3 August 2026

Specifications

No specifications recorded yet.

Latest developments

Sakana AI super-powers AI reasoning using Japan’s own Sudoku Puzzles Sakana AI · 33

AI is more likely than humans to form biases when hiring MIT Technology Review AI · 2 weeks ago · 35

Resolving digital threats 100x faster with OpenAI OpenAI Blog · 1 year ago · 33

Driving scalable growth with OpenAI o3, GPT-4.1, and CUA OpenAI Blog · 1 year ago · 2

Addendum to OpenAI o3 and o4-mini system card: OpenAI o3 Operator OpenAI Blog · 1 year ago · 39

Shipping code faster with o3, o4-mini, and GPT-4.1 OpenAI Blog · 1 year ago · 11

Addendum to o3 and o4-mini system card: Codex OpenAI Blog · 1 year ago · 3

AGI is not a milestone AI Snake Oil · 1 year ago · 50

Timeline

Month Quarter Year

2026

Sakana AI's ALE-Agent wins first place in AtCoder Heuristic Contest 058 Benchmark result

2025

OpenAI releases o3 and o4-mini models with advanced reasoning and integrated tool access Model release

24 Jul Resolving digital threats 100x faster with OpenAI
24 Jun Driving scalable growth with OpenAI o3, GPT-4.1, and CUA
23 May Addendum to OpenAI o3 and o4-mini system card: OpenAI o3 Operator
22 May Shipping code faster with o3, o4-mini, and GPT-4.1
16 May Addendum to o3 and o4-mini system card: Codex
1 May AGI is not a milestone
1 May Why We Think
24 Apr New in ChatGPT for Business: April 2025
19 Apr The State of Reinforcement Learning for LLM Reasoning
16 Apr OpenAI o3 and o4-mini System Card
16 Apr Introducing OpenAI o3 and o4-mini

Relationships

Products & technology

OpenAI develops this model · 11 sources
codex-1 derived from this model · 1 source
CodeRabbit integrated with this model · 1 source
Unify integrated with this model · 1 source

Competition

Sakana AI competes with this model · 1 source

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TLDRocket 3 August 2026

The story of AI in August 2026 is one of consolidation meeting enforcement. Alibaba's Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model with a million-token context window, arrives as a direct challenge to OpenAI and Anthropic's frontier offerings—priced at $2 per million input tokens, it's positioning itself as the capable-and-cheaper alternative that China's AI push has long promised. But the more consequential development is structural: enterprises are finally getting the plumbing to actually deploy these models. June, backed by Salesforce's Marc Benioff, raised $20 million to automate AI integration into legacy systems, scanning corporate infrastructure and generating deployment workflows without expensive consultant fees. This solves what's become clear as the real bottleneck—not model capability, but implementation friction in messy, heterogeneous corporate environments.

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