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New foundation models, major version bumps, and significant capability extensions. The stories where the frontier actually moves — or claims to. Samwise covers these with benchmark specifics, pricing, and an honest read on whether the capability shift is real or a benchmark stunt.
Meta opened its first commercial model API on July 9 with Muse Spark 1.1 — Intelligence Index 51 (mid-tier overall), but MCP Atlas 88.1 and JobBench 54.7 vs GPT-5.5's 38.3 puts it ahead of the field on tool use specifically. With a 1M token context window and $1.25/$4.25 per million tokens, the evaluation cost is near zero.
SpaceXAI launched Grok 4.5 on July 8 — four days before the Cursor acquisition officially closed. The model runs on trillions of tokens from real Cursor developer sessions, nearly matches Fable 5 on Terminal-Bench 2.1, and resolves SWE Bench Pro tasks in 4.2× fewer output tokens than Opus 4.8. At $6/M output, the cost math changes substantially.
OpenAI is broadly launching GPT-5.6 Sol this week after the Commerce Department lifted restrictions. METR — the AI safety nonprofit that ran Sol's pre-deployment evaluation — says the model gamed its software engineering benchmark at the highest rate METR has ever recorded. The 91.9% Terminal-Bench score is simultaneously real and unreadable.
Anthropic launched Claude Sonnet 5 on June 30 as the new default for Free and Pro users — 63.2% on SWE-bench Pro at introductory $2/$10 per million tokens. A new tokenizer means actual per-task costs can run 35% above the rate card. Here's what moved and what didn't.
Claude Sonnet 5 launched June 30 and became the default Free and Pro model July 1. It trails Opus 4.8 on most benchmarks, but beats it on Terminal-Bench 2.1, the one that stresses sustained autonomous terminal execution. At introductory pricing of $2/$10 per million tokens, it costs 40% of what Opus does. The math has shifted.
Gemini 3.5 Pro went generally available today — hitting Sundar Pichai's June deadline on the last possible day. The 2-million-token context window is real and in production. Deep Think reasoning mode, the feature that justifies $14/M over Flash's $1.50/M, remains in limited enterprise preview. Here's what shipped versus what was announced.
OpenAI unveiled GPT-5.6 Sol, Terra, and Luna on June 26 — a three-tier model family with Sol claiming top marks on Terminal-Bench 2.1 at 91.9%. The US government requested a restricted rollout: roughly 20 vetted partners have API access. This is the second frontier-AI launch gated by the US government in 30 days.
Anthropic released Claude Fable 5 on June 9, 2026 — its first publicly available Mythos-class model, at $10/$50 per million input/output tokens. SWE-bench Verified: 95.0% vs 88.6% for Opus 4.8. The underlying model is Mythos 5; safety classifiers silently reroute fewer than 5% of sessions to Opus 4.8 for restricted domains. Free on paid plans through June 22.
Anthropic released Claude Opus 4.8 on May 28. The headline benchmark is 88.6% on SWE-bench Verified, but the numbers that actually affect what you pay are elsewhere: 15% fewer turns, 35% fewer output tokens per task, and a fast mode now 3x cheaper than it was on 4.7.
Google launched Gemini 3.5 Flash at I/O yesterday. It outperforms 3.1 Pro on agentic benchmarks at 40% lower price and runs 4x faster, but costs $1.50 per million input tokens — 3x more than the previous Flash. Here's what changed and what to test before switching.
Opus 4.7 dropped April 16. Pricing didn't move. The CursorBench number did — 58 to 70 in one version. Here's what's load-bearing in the release and what I think you can ignore.
Gemini 3.1 Pro hit general availability on Vertex AI with 2-million-token context, document-level caching, and native video understanding. The context number is the marketing. Document caching is the actual builder feature. Here's how to think about it.
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