GPT-5.6 Sol vs Claude 4.6 Opus
Compare pricing, context windows, and strengths for GPT-5.6 Sol by OpenAI and Claude 4.6 Opus by Anthropic - and see how to put either to work in Appaca.
GPT-5.6 Sol
OpenAI's flagship model for complex professional work, combining frontier reasoning, coding, computer use, and long-horizon agentic performance with greater token efficiency.
View GPT-5.6 SolClaude 4.6 Opus
Anthropic's most intelligent model for building agents and coding, with stronger reliability and precision for long-horizon engineering and enterprise workflows.
View Claude 4.6 OpusGPT-5.6 Sol vs Claude 4.6 Opus at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | GPT-5.6 Sol | Claude 4.6 Opus |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model type | Text | Text |
| Context window | 1.05M tokens | 1M tokens |
| Input price | $5 / 1M tokens | $5 / 1M tokens |
| Output price | $30 / 1M tokens | $25 / 1M tokens |
| Status | Current | Current |
How GPT-5.6 Sol and Claude 4.6 Opus differ
What the numbers mean in practice when choosing between GPT-5.6 Sol and Claude 4.6 Opus.
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Both models cost the same on input: $5 per million tokens.
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Claude 4.6 Opus is 17% cheaper on output tokens ($25 vs $30 per million) - the bigger factor for tools that generate long documents.
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Context windows are close: GPT-5.6 Sol handles 1.05M tokens and Claude 4.6 Opus handles 1M tokens.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
GPT-5.6 Sol
1. Frontier Coding & Agentic Performance
- Scores 88.8% on Terminal-Bench 2.1 and 72.7% on DeepSWE v1.1, with stronger performance across complex terminal workflows and long-horizon engineering.
- Programmatic Tool Calling can coordinate tools, process intermediate results, and adapt workflows with fewer model round trips.
2. Maximum Capability on Demand
- Adds max reasoning effort for difficult tasks that benefit from deeper exploration, checking, and revision.
- Multi-agent ultra coordinates parallel agents for demanding work, reaching 91.9% on Terminal-Bench 2.1 and 92.2% on BrowseComp in OpenAI's evaluations.
3. Strong Computer Use, Design & Knowledge Work
- Scores 62.6% on OSWorld 2.0 and 90.4% on BrowseComp in standard mode.
- Produces more polished interfaces, presentations, documents, and spreadsheets while following reference formats more accurately.
4. Long Context & Broad Tool Support
- Supports a 1.05M-token context window, up to 128K output tokens, and text plus image input.
- Works with web search, file search, image generation, code interpreter, hosted shell, computer use, MCP, and other Responses API tools.
5. Stronger Science, Cybersecurity & Safeguards
- Improves scientific and defensive cybersecurity performance, including 28.7% on GeneBench Pro and 73.5% on ExploitBench.
- Uses layered safeguards, real-time checks, monitoring, and access controls for higher-risk capabilities.
Claude 4.6 Opus
1. Anthropic's top model for coding and agents
- Anthropic positions Opus 4.6 as its most intelligent model for building agents and coding.
- It builds on Opus 4.5 with higher reliability and precision for professional software engineering, complex agentic workflows, and high-stakes enterprise tasks.
2. Strong frontier performance on real agent benchmarks
- Anthropic reports state-of-the-art results across coding and agentic evaluations.
- Public benchmark highlights include 65.4% on Terminal-Bench 2.0, 72.7% on OSWorld, and 90.2% on BigLaw Bench.
3. Best fit for long-horizon, high-context work
- Supports up to a 1M token context window in beta and up to 128K output tokens.
- Designed for long-running tasks that need sustained planning, careful debugging, code review, and strong context retention.
4. Advanced reasoning controls and workflow support
- Supports adaptive thinking and the
effortparameter, including the newmaxeffort level. - Anthropic also introduced fast mode, compaction, and dynamic filtering with web search and web fetch for Opus 4.6-era agent workflows.
Use GPT-5.6 Sol or Claude 4.6 Opus - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by GPT-5.6 Sol or Claude 4.6 Opus - connected to your real data and ready for your whole team. No code, no deployment.
Describe it, and it's built
Tell the Appaca agent the internal tool you need and it builds a working app powered by GPT-5.6 Sol or Claude 4.6 Opus. No code, no API keys, no deployment.
Switch models without rebuilding
Start on GPT-5.6 Sol, test the same tool on Claude 4.6 Opus, and keep whichever performs better - the rest of your app stays exactly as it is.
Automated for the whole team
Schedule tools to run on autopilot - daily digests, weekly reports, real-time triggers - and share them with your whole team from one workspace.
Describe it, and it's built
Tell the Appaca agent what your team needs and it builds a working app powered by GPT-5.6 Sol or Claude 4.6 Opus - connected to the tools you already use.
Related comparisons
See how GPT-5.6 Sol and Claude 4.6 Opus stack up against other models in the directory.
FAQs
Claude 4.6 Opus is generally cheaper: $5 input / $25 output per million tokens, versus $5 / $30 for GPT-5.6 Sol. Actual cost depends on how many tokens your workload reads and writes.
GPT-5.6 Sol has the larger context window at 1.05M tokens, compared to 1M tokens for Claude 4.6 Opus. A larger window means the model can consider more text at once - useful for long contracts, codebases, or months of records.
It depends on the job. Compare the pricing, context window, and strengths above against your workload - and remember the choice isn't permanent. In Appaca you can build a tool on GPT-5.6 Sol, test the same tool on Claude 4.6 Opus, and switch at any time without rebuilding anything.
Yes. Appaca is a no-code AI workspace: describe the internal tool your team needs and the Appaca agent builds it as a working app powered by GPT-5.6 Sol, Claude 4.6 Opus, or any other model in the directory - with a built-in database, team access, and integrations. No API keys to wire up and nothing to deploy.
Build AI tools with GPT-5.6 Sol or Claude 4.6 Opus
Describe the tool your team needs and get a working app powered by the model you choose - with a built-in database, team access, and integrations. No code, no deployment.