Posts tagged with #gemini-3-5-pro from the Contra Collective team.
GPT-5.5, Gemini 3.5 Pro, and Opus 4.8 compared on SimpleQA factuality and hallucination rate. Correct answers, wrong answers, and abstention behavior, plus why the model that answers the most is not the model you want when a wrong answer is expensive, tested July 2026.
GPT-5.5, Claude Opus 4.8, and Gemini 3.5 Pro compared on text to SQL using BIRD and Spider 2.0. Execution accuracy, schema handling on wide databases, dialect quirks, and cost per correct query, with a clear read on which model to put behind a natural language analytics feature in July 2026.
Claude Opus 4.8 Vision, GPT 5.5 Vision, and Gemini 3.5 Pro compared on document understanding. DocVQA, ChartQA, form extraction accuracy, latency, and cost per extracted field on a real invoice, contract, and financial statement workload in 2026.
Gemini 3.5 Pro vs Claude Opus 4.8 on Terminal-Bench 2. Resolve rate, step budget, latency, and cost per resolved task that decide which frontier model wins for a terminal native coding agent in 2026.
Claude Opus 4.8 vs Gemini 3.5 Pro on Aider Polyglot, per language pass rate, cost per task, and where each model wins for production multi language coding workloads.
Claude Fable 5 launched on June 9, 2026, with a 1 million token context window matching what Gemini 3.5 Pro shipped at its February release. For engineering teams building document Q&A, codebase analysis, or multi document reasoning pipelines, the headline context window is the easy comparison. What actually matters is whether the model can reason across that context, not just retrieve from it.