GPT-5.6 Sol review navigator
Official benchmarks, independent analysis, and community reports about GPT-5.6 Sol, clearly separated from Tabbit's own testing.
Official
2 source-checked resourcesGPT-5.6: Frontier Intelligence That Scales Flexibly to Ambitious Goals
Release notes for the GPT-5.6 series, including official results for Sol on Agents’ Last Exam, the Artificial Analysis Intelligence Index, coding, knowledge work, and safety evaluations, as well as model positioning, ultra mode, and pricing information.。
OpenAI GPT‑5.6 System Card: Safety, Prompt Injection, and Agent Boundaries
Model: GPT‑5.6 Sol, Terra, and Luna, compared with recent models including GPT‑5.5. Scope: Production challenge prompts, image inputs, destructive actions, computer-use confirmation, connector/search/function-call prompt injection, health, hallucinations, Alig。
Media
6 source-checked resourcesGPT-5.6 benchmarks across Intelligence, Speed and Cost
Third-party benchmarks record GPT-5.6 Sol's performance on the Intelligence Index and Coding Agent Index, comparing its scores, cost per task, and latency with models including Claude Fable 5.。
OpenAI GPT-5.6 Sol and Terra: Benchmark
Focusing on coding agents and code review, CodeRabbit evaluates Sol's ability to follow through on long tasks, identify issues in code reviews, and manage cost, as well as its differences from Claude Fable 5 and Sonnet 5.。
GPT-5.6 Sol Ascends for Token Efficiency; How Does It Stack Up Against Other Models?
The article draws on real-world use of ChatGPT Plus/Pro and Artificial Analysis data to discuss Sol’s token efficiency, quick and deep response modes, and the fact that it does not lead every evaluation.。
Vibe Check: GPT-5.6 Sol Is Our Favorite Model to Collaborate With
Every’s long-term record of collaborating with Sol, focusing on its performance with email, meetings, marketing content, information retrieval, ongoing tasks, and changes of direction, and comparing it with Fable 5’s delegation-oriented workflow.。
A Short Review of GPT 5.6 Sol. Nearly as capable as Claude Fable 5…
The author reused the prompts, methodology, and 100,000-line code-porting task from the Fable 5 evaluation to document Sol’s performance on a financial-planning app, browser testing, user experience, and domain decisions.。
METR: GPT‑5.6 Sol Pre-deployment Independent Evaluation and Cheating-Rate Boundaries
Model and interface: OpenAI provided the final GPT‑5.6 Sol checkpoint, a railfree version, and a raw chain-of-thought API.。
Community
9 source-checked resourcesI compared grok 4.6 and gpt 5.6 sol
Comparing Grok 4.6 extra high with GPT-5.6 Sol medium in Cursor using the same backend plan and starting point, the poster found Sol better at handling financial edge cases, race-condition risks, and test quality, giving it an approximate 60/40 result.。
GPT-5.6 Sol is the first AI that has actually felt useful to me as a screenwriter
A screenwriter shares their experience using Sol to discuss a second screenplay draft line by line, work through character psychology, subtext, pacing, and clue checks, emphasizing that it questions choices that weaken a scene instead of simply agreeing.。
ITSMBench Results for Lynkr
Lynkr published ITSMBench results obtained by calling GPT-5.6 Sol through pi: 89 enterprise IT service-desk tasks, Pass@1/Pass@2, cost, prompt-cache hit rate, and a breakdown by task family, along with a discussion of the limitations of binary scoring.。
GLM 5.3 just outplayed GPT-5.6 Sol at its own game — for 20× less.
A comparison of the playable browser games produced by GLM 5.3, GPT-5.6 Sol, and Opus 5 under the same /design prompt; Sol's interface was good, but the game was unplayable, and it cost more than the other two.。
Box Complex Work Eval: GPT‑5.6 Sol's Quantitative Enterprise Document Tasks
Benchmark: Box Complex Work Eval, covering real document-driven tasks across twelve industries. Task types: Reading source documents, checking numbers, due diligence, identifying errors in expert outputs, and quantitative analysis.。
Nate Herk: Blind Creative Build and API Cost Comparison of GPT‑5.6 Sol and Fable 5
Agent build: The same /goal prompt with complete creative freedom; Fable ran in Claude Code, Sol in Codex; the author reviewed the results blind before revealing the models.。
Matthew Berman: GPT‑5.6 Sol's Long-Horizon Goals, Browser, and Reasoning-Tier Experience
Duration of use: The author says he has used Sol continuously in-house for the past two months; the page's translated text displays cumulative usage of “more than 2.5 billion tokens,” but that figure is not currently expanded in verifiable original English on 。
SlopCodeBench: Fable 5, GPT‑5.6 Sol, and Kimi K3 Long-Horizon Coding Reproduction Experiment
Benchmark: SlopCodeBench. The tasks do not reveal all requirements at once; they add requirements progressively across multiple checkpoints to test the risk of codebase degradation over time.。
Reddit Codex Pro 20x: Measuring the GPT‑5.6 Sol Standard-Mode Allowance
Account: One Codex Pro 20x account, using only GPT‑5.6 Sol Standard. Measurement: The author used a CLI they wrote with Codex to count local tokens and cross-checked the results against a corrected version of ccusage; the two results matched.。
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Official benchmarks, independent analysis, and community reports about GPT-5.6 Sol, clearly separated from Tabbit's own testing.