Posts tagged with #frontier-models 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.
Gemini 3.5 Pro and GPT-5.5 compared on Aider Polyglot and LiveCodeBench for real coding work. Pass rates, edit format reliability, context handling, and cost per solved task, with a clear read on which model to route your coding agent to in July 2026.
Cursor vs Windsurf vs Zed on the Aider Polyglot benchmark. Pass rate, edit format quality, latency, and cost per resolved task that decide which agentic IDE belongs on a production engineering team 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 Sonnet 4.6 on SWE-Bench Verified. Resolve rate, agent step budget, latency, and the cost per resolved issue that decides which model belongs in a production coding agent.
Claude Sonnet 4.6 vs GPT-5.5 on LiveCodeBench. Pass rate on contamination free recent problems, latency, cost per resolved problem, and where each model wins for algorithmic coding workloads.
Claude Haiku 4.5 vs Gemini 3.5 Flash on SWE-Bench Verified. Pass rate, cost per resolved issue, latency, and where each model wins for production coding agents at the cheap tier.
Claude Sonnet 4.6 vs Fable 5 on GPQA Diamond, per domain pass rate, cost per task, and where each model wins for production reasoning workloads at the mid tier.
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 Opus 4.8 vs Claude Fable 5 on Terminal-Bench 2.0, cost per task, tool use reliability, and where each Anthropic model wins for production agent workloads.
Grok 4.3 vs GPT-5.5 on SWE-Bench Pro, Aider Polyglot, and a real coding agent workload. Pass rates, latency, cost per task, and where each model wins.
Claude Fable 5 and Grok 4.3 are the two model lines that matter most for agentic coding in mid 2026. Anthropic's Fable line is the long horizon planning sibling to Opus, optimized for multi step agent tasks and trained on a different mix than the standard Claude reasoning models. Grok 4.3 is xAI's coding focused refresh of the Grok 4 line, with a meaningful jump on code generation benchmarks and a price drop that puts it in a different competitive bracket than Grok 4.