GPT 5.6 Sol
OpenAI's flagship GPT 5.6 tier for deep reasoning, terminal coding, biology analysis, and safeguarded cybersecurity work, now ready to run inside hosted MyClaw agents.
What OpenAI Says GPT 5.6 Sol Improves
OpenAI positions GPT 5.6 Sol as its strongest model yet, with early evaluations focused on long-horizon agent work rather than ordinary chat snippets.
Command-Line Coding Workflows
OpenAI says GPT 5.6 Sol sets a new state of the art on Terminal-Bench 2.1, a benchmark for command-line tasks that require planning, iteration, and tool coordination.
Long-Horizon Biology Analysis
On GeneBench v1, OpenAI reports GPT 5.6 Sol improves over GPT-5.5 while using fewer tokens, signaling better efficiency for genomics and quantitative-biology workflows.
Cybersecurity with Safeguards
OpenAI describes GPT 5.6 Sol as its most capable cybersecurity model yet, improving long-horizon vulnerability research while pairing that capability with stronger safety controls.
Command-Line Agent Workflows Reach a New SOTA
OpenAI says GPT 5.6 Sol sets a new state of the art on Terminal-Bench 2.1, a benchmark built around command-line workflows that require planning, iteration, and tool coordination.
The chart highlights GPT 5.6 Sol and GPT 5.6 Sol Ultra at the top of the reported score range, which is exactly the kind of terminal-heavy workload MyClaw agents are built to run with files, commands, and tests in one workspace.
Long-Horizon Biology Work Uses Fewer Tokens
GeneBench v1 evaluates genomics and quantitative-biology workflows over long horizons. OpenAI reports GPT 5.6 Sol improves over GPT-5.5 while using fewer tokens.
For MyClaw users, this points to GPT 5.6 Sol as a fit for research workflows where the agent must read evidence, reason across data, and produce careful technical outputs without wasting context budget.
Security Capability Improves with Better Efficiency
OpenAI describes GPT 5.6 Sol as its most capable cybersecurity model yet. On ExploitBench, GPT 5.6 Sol is competitive with Mythos Preview while using about one third of the output tokens.
This section should be read through OpenAI's defensive framing: code review, vulnerability research, patch development, debugging, security education, and defensive testing.
More Reasoning Lifts Long-Horizon Security Tasks
ExploitGym is a benchmark from UC Berkeley researchers in collaboration with OpenAI and other frontier labs. OpenAI reports strong improvements across GPT 5.6 Sol, GPT 5.6 Terra, and GPT 5.6 Luna as reasoning increases.
In MyClaw, that makes GPT 5.6 Sol most useful for legitimate security agents that need traceable tool use, scoped tasks, and a hosted runtime instead of one-off prompts.
Why GPT 5.6 Sol Belongs Inside a Hosted Agent
GPT 5.6 Sol is compelling when the model can plan, inspect files, run commands, use tools, and keep context across multi-step work. That is exactly the operating surface MyClaw gives your agent.
Repository Repair Loops
Give GPT 5.6 Sol a MyClaw workspace for codebase search, terminal commands, tests, and iterative patches when a task needs more than a single completion.
Research-to-Action Workflows
Pair deep reasoning with browser and file tools so the agent can turn technical research into implementation steps, tickets, or documented decisions.
Defensive Security Work
Use GPT 5.6 Sol for legitimate code review, patch planning, debugging, and defensive testing workflows where safeguards and traceable agent execution both matter.
Subagent-Heavy Planning
OpenAI's ultra mode is designed to go beyond one agent by using subagents. MyClaw gives that style of work a persistent runtime and operational home.
Cost-Aware Model Routing
Keep GPT 5.6 Sol for the hardest reasoning moments while routing everyday tasks to lower-cost models from the same MyClaw model directory.
Always-On Execution
Move from model selection to real work: files, tools, uptime, and hosted agent state without building your own VM and orchestration layer.
Available with Published Per-Token Pricing
GPT 5.6 Sol is now available to run in MyClaw. Use the published token pricing below to plan high-reasoning agent workloads.
Official pricing also lists GPT 5.6 Terra at $2.50 input / $15 output and GPT 5.6 Luna at $1 input / $6 output per 1M tokens. GPT 5.6 adds explicit cache breakpoints and a 30-minute minimum cache life for more predictable prompt caching.
GPT 5.6 Sol vs. Terra vs. Luna
OpenAI presents GPT 5.6 as a generation with three capability tiers. The public details below now separate MyClaw availability from OpenAI surface notes, pricing, caching, and safeguard posture.
| Feature | GPT 5.6 Sol | GPT 5.6 Terra | GPT 5.6 Luna |
|---|---|---|---|
| Official Role | Flagship model for the strongest capability | Balanced model for everyday work | Fast and affordable model |
| Official Positioning | OpenAI's strongest model yet | Near GPT-5.5 performance at 2x lower cost | Strong capability at OpenAI's lowest GPT 5.6 cost |
| Generation Naming | GPT 5.6 identifies the generation; GPT 5.6 Sol identifies the capability tier | GPT 5.6 identifies the generation; GPT 5.6 Terra identifies the capability tier | GPT 5.6 identifies the generation; GPT 5.6 Luna identifies the capability tier |
| MyClaw Availability | Available to run in hosted MyClaw agents | Check the MyClaw model directory for availability updates | Check the MyClaw model directory for availability updates |
| OpenAI Surface Notes | Run in MyClaw now; follow OpenAI announcements for broader ChatGPT, Codex, and API surface details | Follow OpenAI announcements and MyClaw model directory updates for availability details | Follow OpenAI announcements and MyClaw model directory updates for availability details |
| Input Price | $5 / 1M tokens | $2.50 / 1M tokens | $1 / 1M tokens |
| Output Price | $30 / 1M tokens | $15 / 1M tokens | $6 / 1M tokens |
| Cache Write Price | 1.25x the uncached input rate | 1.25x the uncached input rate | 1.25x the uncached input rate |
| Cache Read Price | 90% cached-input discount | 90% cached-input discount | 90% cached-input discount |
| Minimum Cache Lifetime | 30 minutes | 30 minutes | 30 minutes |
| Safeguard Posture | Robust safeguards matched to model capabilities during live agent use | Robust safeguards matched to model capabilities during live agent use | Robust safeguards matched to model capabilities during live agent use |
Explore Similar Agent Models Available in MyClaw
Use these clickable model cards to compare GPT 5.6 Sol with other strong coding, reasoning, and agent-ready models you can evaluate in MyClaw.
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