Mini toolsGPT 5.6 Sol
By OpenAI
Model family: GPT
GPT-5.6 Sol is the highest-tier model in the GPT-5.6 family, alongside Terra and Luna as lower-cost tiers. Sol sets a new state of the art on Terminal-Bench 2.1 for command-line coding workflows requiring planning and tool coordination. On GeneBench v1, it improves long-horizon genomics and quantitative biology analysis over GPT-5.5 while using fewer tokens. In cybersecurity, it advances performance on ExploitBench and ExploitGym for vulnerability research and exploitation tasks while matching Mythos Preview at roughly 1/3 the output tokens. A new max reasoning effort setting enables deeper extended reasoning, and ultra mode uses subagents to parallelize complex multi-step work. The model includes layered safeguards: model-level refusals, real-time cyber and biology misuse classifiers with generation pausing, and account-level monitoring. Priced at $5 input / $30 output per 1M tokens, with 90% prompt caching discount, explicit cache breakpoints, and a 30-minute minimum cache life.
Overview
GPT-5.6 Sol is OpenAI's flagship model in the GPT-5.6 series. It achieves state-of-the-art performance on coding (Terminal-Bench 2.1), biology (GeneBench v1), and cybersecurity (ExploitBench) benchmarks. Features a new max reasoning effort setting and ultra mode for multi-agent parallelism. Priced at $5/$30 per 1M input/output tokens, currently in limited preview.
About OpenAI
OpenAI is a technology company that specializes in artificial intelligence research and innovation.
Industry:
Artificial Intelligence
Company Size:
4500
Location:
San Francisco, California, US
Website:
openai.com
Benchmark scores
How GPT 5.6 Sol ranks on tracked AI benchmarks. Click any benchmark to see its full leaderboard.
Compare across all benchmarks →Tools using GPT 5.6 Sol
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Dmitry G.🙏 178 karmaAug 29, 2023@ChatGPTState of the Art -
Debating AI models, tireless agents, and workspaces. Unlocked, pay-as-you-go.Open -
OpenWe built Continua because every "chat with PDF" tool we tried failed the same way: retrieval grabs a few chunks, answers confidently, and misses the qualifier on page 1,847. In high-stakes documents that's not an inconvenience — it's a lost case, a bad acquisition, a rejected claim. So we went the opposite direction: no RAG at all. Continua reads 100% of every page (up to 1B tokens in one task), returns a report where every claim cites its exact page, and — the part we're proudest of — flags where your documents contradict each other. Every finding is inspectable and tagged: cited, conflicted, duplicated, or unused. Where it shines today: medical chronologies, acquisition diligence, RFP compliance, insurance claim rebuttals. Where it's still rough: reports take minutes (we read everything — that's the cost), no API yet, English-optimized. We're in public beta and genuinely want hard feedback — bring your nastiest document pile and tell us where it breaks. I'll answer every comment here.
Last updated: July 21, 2026
