Workhorse shootout: Gemini 3.7 Flash, GPT-5.6 Luna, Sonnet 5
Google shipped gemini-3.7-flash as generally available on 13 August 2026 at an introductory $0.75/$3.75 per million tokens, two weeks after OpenAI cut GPT-5.6 Luna by 80 percent and days after Anthropic locked Claude Sonnet 5 at $2/$10 permanently. We compare the three workhorse models on list price, context, Azure availability and EU residency, and show why cost per completed task beats cost per token.
LLM cost planning autumn 2026: Sonnet 5 stays at $2/$10
Anthropic has cancelled the Claude Sonnet 5 price increase scheduled for 1 September 2026, making the introductory $2 input / $10 output per million tokens the permanent standard price. For teams running Claude on Azure through Microsoft Foundry, that removes a planned 50% jump from autumn budgets and reshapes the mid-tier price comparison against GPT-5.6 Terra and Gemini 3.1 Pro.
Claude Opus 5 for long-running agents: the cost math
Claude Opus 5 launched on 24 July 2026 at $5/$25 per million tokens with a 1M context window and day-one availability in Microsoft Foundry. For long-running agents the per-token price is the wrong unit: we work through cost per completed task against Sonnet 5 and GPT-5.6 Sol, and flag the EU data-residency caveat Swedish Azure teams need to check first.
Claude Sonnet 5 in Microsoft 365 Copilot: EU tenant guide
Anthropic's Claude Sonnet 5 started rolling out in Microsoft 365 Copilot on 2 July 2026, beginning with Copilot Cowork and Copilot in PowerPoint, and for EU tenants it is a governance decision rather than a feature update. The Anthropic subprocessor arrangement changed in May 2026, the models run outside the EU Data Boundary, and Swedish admins now face concrete choices about tenant settings, pilot scoping and DPIA updates.
Claude Sonnet 5 vs Opus 4.8 vs GPT-5.5: agent cost math
Anthropic launched Claude Sonnet 5 on 30 June 2026 at an introductory 2/10 dollars per million tokens, posting 63.2% on SWE-bench Pro and near-Opus agentic performance at 40-60% of the cost per task. We run the cost math against Opus 4.8 and GPT-5.5, set out a routing framework for when the cheap model wins, and draw the continuity lesson from the eighteen-day Fable and Mythos export-control pause.