OpenAI · GPT-5.6 Sol · July 2026

GPT-5.6 Sol — flagship for the hardest reasoning, coding, and security research

  • Million-token context
  • Extra-long single replies
  • Maximum-depth reasoning
  • ultra multi-agent speedups
GPT-5.6 Sol

What is GPT-5.6 Sol?

GPT-5.6 Sol is OpenAI’s GPT-5.6 flagship tier, released in July 2026 for broader availability. It takes the heaviest work in the family: hard reasoning, multi-step coding, quantitative biology, and long-horizon security research agents. Versus GPT-5.5, OpenAI reports higher completion and a stronger performance–efficiency frontier on Terminal-Bench, GeneBench, ExploitBench, and related evals. The same generation also ships balanced Terra and speed-oriented Luna—don’t treat them as Sol. On iMini Agent, pick GPT-5.6 Sol to use it.

Vendor
OpenAI
Released
July 2026
Context
1M tokens
Max output
128K tokens
Deep reasoning
Includes max depth · ultra available
Best as
Flagship go-to on the OpenAI depth stack

What’s new versus GPT-5.5

Depth ceiling, long-horizon agent completion, terminal software engineering, and clear tiering—what to check before making Sol your OpenAI depth workhorse.

Maximum-depth reasoning available

GPT-5.6 adds a maximum-depth tier that gives hard tasks more room to reason. For tight constraints, tough evals, and high failure cost, turn depth up first, then ship.

Stronger long-horizon agent completion

On multi-step flows such as terminal coding, long genomics jobs, and vulnerability research, OpenAI reports gains over GPT-5.5—and in some settings reaches similar or better results with fewer output tokens.

ultra multi-agent speedups

ultra can schedule sub-agents in one job to push complex work in parallel—suited to repo-scale changes, long migrations, and engineering loads that need split verification.

Clearer roles inside the family

Sol takes the heaviest jobs; Terra targets near–GPT-5.5 day-to-day load; Luna takes high-turnover, low-cost drafts. Pick by task weight first, then prompts and workflow.

Official evaluations

Results OpenAI published with GPT-5.6. The shared x-axis is output-token volume, covering agent workflows, coding, retrieval, knowledge work, and security research.

Agents' Last Exam: long-horizon professional workflow score
Agents' Last Exam covers long-horizon professional workflows across 55 industries. GPT-5.6 Sol sets a new high at 53.6—13.1 points above Claude Fable 5—while using clearly fewer output tokens. That’s the core case for handing long jobs to Sol.
Artificial Analysis Intelligence Index v4.1 composite intelligence index
Third-party Artificial Analysis composite intelligence index. At matched output volume, Sol’s curve sits above GPT-5.5 and Claude Opus 4.8—higher useful yield per token, not just more tokens spent.
Artificial Analysis Coding Agent Index v1.1 coding-agent index
Third-party coding-agent index. Sol leads at 80, 2.8 points above Claude Fable 5 (77.2), with less than half the output tokens. For day-to-day coding, Terra (77.4) already sits above Fable 5.
Terminal-Bench 2.1: command-line software engineering tasks
Terminal-Bench 2.1 measures real command-line software engineering: plan, iterate, coordinate tools. Sol hits a record 88.8%; Ultra mode (4 agents in parallel) reaches 91.9%. The prior best was Claude Mythos 5 at 88%.
BrowseComp: multi-step web retrieval and verification
BrowseComp measures multi-step web retrieval and fact-checking. Sol’s curve converges above 90%, so complex verification jobs can run end to end—not just dump a pile of links.
GDPval-AA v2: real knowledge-work Elo
GDPval-AA v2 uses Elo for real knowledge-work quality. Sol’s curve stays above GPT-5.5 and same-generation peers throughout—higher quality ceiling for research reports and table-heavy work.
ExploitBench: vulnerability research capability
ExploitBench measures long-horizon security research. Sol approaches Claude Mythos Preview with roughly one-third the output tokens—one reason OpenAI lists security research among Sol’s three flagship scenarios.
GeneBench Pro: biological science reasoning
GeneBench Pro measures long-horizon biological science reasoning. Sol beats GPT-5.5 with less output—scientific long-reasoning jobs also benefit from this generation’s efficiency.

Three common workflows

GPT-5.6 Sol is built for high failure cost and work that must hold a goal for a long time.

Multi-step coding & terminal agents

For multi-step coding, test repair, and repo-scale changes in a command-line environment. Pin success checks and abort conditions so the agent can finish changes in a long thread.

Security research & hard-constraint review

For vulnerability research, injection-defense checks, and security flows that need strict verification. Focus on clear findings, impact, and reproducible steps.

Long-material reasoning & decision memos

For collapsing long specs and multi-source material into a decision page: problem, options, recommendation, and risks. Suited to professional work with hard numbers and explicit constraints.

How to choose vs GPT-5.6 Terra and Claude Opus 5

All three are current workhorses. The differences are depth ceiling, tiering within a family, and which product stack you already run.

DimensionGPT-5.6 SolGPT-5.6 TerraClaude Opus 5
Context1M tokensSame long-context tier in GPT-5.61M tokens
ReasoningMax depth · ultra availableBalanced depth, efficiency-orientedThinking built in, tunable
Coding / agentsHeaviest OpenAI long-horizon coding & agentsDay-to-day coding & high-volume workPrimary go-to for long-horizon coding & multi-step agents
Long tool runsFlagship depth + ultra multi-agentMore balanced throughput and completionStronger goal holding and completion
Speed postureCompletion quality and depth firstFaster, leaner everyday primaryCompletion quality and stability first
Prefer whenNew heaviest reasoning, coding, and security-style long jobsNear–GPT-5.5 quality without stepping up to SolTeam already standardized on Claude

Using GPT-5.6 Sol on iMini

Free quota, model naming, key specs, and how it differs from GPT-5.6 Terra and Claude Opus 5.

Use GPT-5.6 Sol free on iMini Agent

Million-token context, maximum-depth reasoning, ultra to accelerate hard jobs.

Open GPT-5.6 Sol

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