Claude Opus 5.5 vs GPT-6 Sol: Benchmarks
Blog post from NeuralTrust
Claude Opus 5.5 and GPT-6 Sol, both released in September 2026, offer similar roughly one-million-token context windows and 128K output limits but target different enterprise priorities. Published evidence, including an independent Artificial Analysis Intelligence Index score of 58 versus 48, positions Opus 5.5 as stronger in overall capability, while provider-reported prompt-injection results also favor it, with a 1.0% attack success rate compared with Sol’s 10.1%; however, these security results rely on unpublished attack sets. GPT-6 Sol costs half as much per input and output token and showed substantially lower estimated cost per benchmark task, aided by lower token use, although its long-context surcharge narrows its pricing advantage. Opus uses always-on adaptive reasoning and has broader listed cloud availability, whereas Sol provides more granular effort control and can disable reasoning for simpler function-calling workflows. Because many benchmark figures are vendor-reported, benchmark versions and test conditions differ, and GPT-6.1 Sol has since superseded Sol with claimed agent-workflow improvements, organizations are advised to test both models on their own workloads. A mixed routing approach may assign complex, security-sensitive, or untrusted-content tasks to Opus 5.5 and high-volume, routine tasks to Sol, while retaining common controls such as tool allow-lists, least-privilege access, output inspection, logging, and gateway-based policy enforcement.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Opus 5.5 | 53 | 624 | 118 | 53 | +19% |
| GPT-6.1 Sol | 6 | 250 | 44 | 23 | +1463% |
| Cost per task | 5 | 117 | 53 | 35 | -10% |
| LLM | 2 | 6,548 | 1,236 | 233 | +8% |
| AI Agents | 1 | 6,975 | 1,655 | 268 | +24% |
| GPT-6 Astra | 1 | 330 | 80 | 42 | -47% |
| Gemini 4 Argon | 1 | 338 | 41 | 19 | +33700% |
| Loop engineering | 1 | 67 | 51 | 29 | -30% |
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