Spending $2.5k/month on Sonnet/Opus — worth switching more to GPT-5.5/Codex?
Summary
A user discusses optimizing $2.5k/month spending on AI APIs, comparing Anthropic's Sonnet/Opus with GPT-5.5/Codex for coding and business tasks, seeking community advice on cost-quality tradeoffs.
Similar Articles
GPT-5.5 may burn fewer tokens, but it always burns more cash
OpenAI's GPT-5.5 costs 49–92% more than GPT-5.4 in practice despite claimed token efficiency improvements, while Anthropic's Claude Opus 4.7 also raised effective costs by 12–27% for longer prompts, reflecting a broader trend of rising frontier model prices as both companies face massive projected losses.
@philipkiely: On sample workloads: Opus 4.8 -> Kimi 2.7 Code | 82% savings GPT 5.5 -> GLM 5.2 | 77% savings Gemini 3.5 Flash -> Nemot…
A tweet from Philip Kiely highlights cost savings by switching from closed-source AI models to open-source alternatives, using Baseten's ROI calculator tool.
Claude code vs Codex
The user seeks a value comparison between Claude Code and OpenAI Codex $20 subscriptions, sharing their personal workflow involving Haiku, Sonnet, Qwen, and DeepSeek.
@orca_build: Anthropic’s new Opus 4.8 scores 3.6% lower than GPT 5.5 on Terminal-Bench 2.1… …but it’s noticeably better at UI tasks.…
Anthropic's Opus 4.8 scores 3.6% lower than GPT 5.5 on Terminal-Bench 2.1 but excels at UI tasks; Orca's orchestration enables Codex to delegate UI tasks to Claude Code.
@doublenickk: > 20 free daily tokens covers a full working session on GPT 5.5 or GLM > Opus 4.7 handles 2-3 serious architecture task…
A tweet highlights that 20 free daily tokens from Tembo provide full access to GPT 5.5 and GLM, and Opus 4.7 handles architecture tasks at zero cost, matching paid tools' output.