Haiku 5.5 vs GPT-6 Luna: same $0.10/$0.50 price under 100K tokens, different long-prompt tiers, Anthropic's benchmarks, and per-effort cost data.

Haiku 5.5 vs Haiku 4.5: 90% cheaper up to 100K tokens, 1M context, and five breaking changes that return 400s. Before/after JSON fixes inside.

Call the Nano Banana 2.1 API (gemini-nano-banana-2.1): first image in curl, Python and JS, 2K/4K, editing, multi-turn, grounding and cost per image.

Gemini 4 Argon vs Gemini 3.8 Flash: price, output limits, shared benchmarks and the cost of one call. Ship on Flash now or wait for Argon?

MCP Events explained: how ChatGPT subscribes to your MCP server with events/subscribe, Standard Webhooks signing, the 256 KiB limit, and tests in Apidog.

OpenAI Agents API tutorial: create a session in curl, pick a sandbox, add MCP tools and subagents, and handle computer-use approvals. Pricing and limits.

GPT-6.1 Sol vs Claude Sonnet 5.5: same $2/$10 price, launched a day apart, no shared benchmark. Specs, vendor claims, and how to test both yourself.

Sonnet 5.5 vs Sonnet 5: same $2/$10 price, far higher scores, and five breaking changes that return 400s. Exact errors and before/after JSON fixes.

Claude Sonnet 5.5 benchmarks: 70.6% Terminal-Bench 4.0, 81.3 SWE-Bench Pro, AA index 56. Who ran each test, what effort costs, how to run your own eval.

Call Grok 4.7 via api.x.ai/v1/responses: model id grok-4.7, $2/$6 pricing, reasoning effort, encrypted reasoning, caching, tools, and rate limits.

Qwen-Image-2.1 (open weights, research license, native transparency) vs Qwen Image 3.0 (hosted API, $0.03 per image, dense text): license, cost, capabilities, and a decision table.

What GPT-6 Luna actually costs at scale: worked cost-per-million-request math for high-QPS classification, 200k-token retrieval and a 12M record backfill, with the 90% cached-read discount applied.

Anthropic reports 85% fewer successful boundary-circumvention attempts on Claude Opus 5.5. What that measures, what it misses, and how to test your own API.

A full test-generation pass over a 42-endpoint OpenAPI spec costs about $0.29 on GPT-6 Luna at $0.10/$0.50, or under $0.10 with prompt caching. The per-spec arithmetic, the request shape, the latency to budget for, and the two failure modes.

OpenAI's agentic software factory diagram, explained box by box: what's shipped in Codex today, what's internal only, and where CI decides if the loop is safe.