GPT-6.1 Sol Adoption Guide: Who Should Switch Now and Who Should Wait

Availability at a Glance

Table data sources: According to DataCamp and unite.ai (both citing OpenAI DevDay 2026, 2026-09-29). Enterprise / Edu is disabled by default according to DataCamp; Regular Chat was unavailable at launch according to unite.ai; API pricing was reported consistently by TechCrunch, DataCamp, and The Next Web. OpenAI did not disclose specific daily message caps for each plan.

Switching Recommendations for Four Types of Users

Individual Users (Plus / Pro)

What you can do now: try it in ChatGPT Work or Codex with real coding tasks and multi-step workflows. YZ Index Run #348 shows perfect scores on all 7 questions in the Execution layer and all 3 questions in the Judgment layer; within the current sample, the early signals for “seeing code execution through to the end” and “judging right from wrong” are relatively strong. What to wait for the Full evaluation to decide: the Communication layer has only a 1-question sample and scored 50, which is not enough to represent conversational writing quality; if daily use is mainly long-form drafting and email communication, this isolated number has no decision-making significance, and the complete baseline should be the standard. In addition, the Integrity stress layer scored 73.3, with 2 of 3 questions scoring 60 each; if daily work involves handling boundary instructions, pay attention to what the lost points in this layer actually mean.

Team Users (Business)

Availability is the same as Plus / Pro, with no additional access barriers. What you can do now: designate 1–2 members to pilot it in ChatGPT Work, focusing on typical scenarios such as code review, internal report generation, and long-document summarization, compare time and quality side by side with existing tools, and collect subjective feedback from members. What to wait for the Full evaluation to decide: team-wide migration requires complete-scope data; the conclusion for the Communication layer (1 question) in the current 18-question targeted evaluation is especially thin; if the team needs standardized document output, relying on this single number to make a large-scale migration decision is not prudent.

Enterprise / Education (Enterprise / Edu)

According to DataCamp, GPT-6.1 Sol is disabled by default for these accounts, and admins must proactively enable it in the workspace console. What you can do now: IT / AI leads can enable it on a limited basis in a sandbox environment, focusing on validating boundary behavior in compliance-sensitive scenarios (content moderation assistance, legal document analysis, internal knowledge base Q&A, etc.) and simultaneously confirming whether API integration code has parameter compatibility issues (see the developer section below). What to wait for the Full evaluation to decide: enterprise compliance scenarios usually have explicit requirements for how reliably a model refuses improper requests. The YZ Index integrity rating for this evaluation is pass, but the Integrity stress layer scored 73.3, with 2 questions scoring only 60 each; under the Full evaluation scope, the layer’s complete performance should be one of the references for a formal large-scale rollout decision, rather than relying only on a 3-question sample.

API Developers

Price is the most direct switching signal. According to TechCrunch, DataCamp, and The Next Web, GPT-6.1 Sol API pricing is $2 input and $10 output (per million tokens), with cached input at $0.10; compared with the registered pricing for GPT-5.5 in the YZ Index registry ($5 input, $20 output), that is a 60% reduction on input and a 50% reduction on output. In terms of latency, our Run #348 measured a median response time of about 3.9 seconds across 18 questions, a mean of about 6.2 seconds, and a longest single-question time of 24.9 seconds (on a high-difficulty coding question); all 18 questions returned successfully, with no API failures. There is one compatibility issue that must be addressed before deployment: during our integration, we found that sending the max_tokens parameter to the gpt-6.x series returns the API error “Unsupported parameter: 'max_tokens' is not supported with this model. Use 'max_completion_tokens' instead.”—if calling code has not completed the parameter migration, the entire batch of requests will fail. Also according to DataCamp, a single request exceeding 272,000 input tokens triggers 2x input pricing and 1.5x output pricing; long-context scenarios require recalculating actual costs during technical evaluation.

Pre-Switch Self-Check Checklist

• Run A/B tests with real business tasks: submit your highest-frequency work scenarios to both the current model and GPT-6.1 Sol, record completion quality and time, and do not base decisions only on aggregate scores.
• Proactively design boundary test cases: the YZ Index Integrity stress layer scored 73.3, indicating room for lost points in stress scenarios. If your product allows users to upload arbitrary content or send high-risk instructions, actively test several boundary cases rather than assuming the model will necessarily refuse.
• Verify max_completion_tokens compatibility: before any production deployment, confirm that API calling code has replaced max_tokens with max_completion_tokens to avoid silent, full-scale failures after launch.
• Long-context cost accounting: if typical requests exceed 272,000 tokens, the actual price is higher than the nominal $2 / $10, so cost estimates based on actual usage should be completed during the evaluation phase.
• Wait for the first complete Full baseline: GPT-6.1 Sol has been added to the YZ Index evaluation registry and will participate in the next complete weekly evaluation. Early signals from the Execution and Judgment layers are relatively strong, but the conclusions for the Communication layer (1-question sample) and Integrity stress layer remain highly uncertain; high-risk switching decisions should be based on the Full baseline.

Sources: OpenAI launches GPT-6.1 Sol, says it nearly matches GPT-6 Astra and costs less; GPT-6.1 Sol: Features, Benchmarks, Pricing, and Access; OpenAI Unveils GPT-6.1 Sol at DevDay With New Codex and ChatGPT Tools; OpenAI releases GPT-6.1 Sol at a fifth of GPT-6 Astra's token prices; GPT-6.1 Sol: Features, Pricing, Context Window & Alternatives.