Claude Haiku 5.5 is cheap. Keep its jobs small
Haiku 5.5 starts at $0.10 input, but long prompts cost five times more. I explain the tokenizer change and where this model fits beside Sonnet.
pricing
Every article tagged pricing, newest first.
Muse Wonder Full isn't the model in the API
Meta's best Muse Wonder results belong to Full, available through Muse Code subscriptions. I separate model access, benchmark settings and the API bill.
Claude Sonnet 5.5: maximum effort can cost more than Opus
Sonnet 5.5 keeps its token prices and generates output faster. Independent tests show why maximum effort can make the cheaper model cost more per task.
GPT-6.1 Sol gets close to Astra at a lower task cost
Independent tests put Sol 6.1 close to Astra at a much lower cost per task. I compare the evidence, API rates and the first Reddit reactions.
GPT-6 Sol and Luna: the price cut is the upgrade
GPT-6 Sol and Luna cut API prices while independent benchmarks show smaller gains. I compare the scores, ChatGPT access, and mixed first reports on Reddit.
Opus 5.5 improves coding. Task cost is less clear
Opus 5.5 gains ground in independent coding tests and cuts token prices. I compare the task costs, effort settings, and first Reddit reports on daily use.
Claude Code weekly limits fell 16.7%. Here's why
Claude Code's promotion ended on 14 September. I explain the smaller weekly allowance, the 25% versus 16.7% calculation and what five-hour warnings mean.
DeepSeek V4.1 Flash: low API prices, huge open weights
DeepSeek V4.1 Flash activates 8B parameters on input, but its full weights are enormous. I explain the API prices, coding scores and server requirements.
Codex resets were a marketing stunt. The problem was real
OpenAI reset Codex usage five times in ten days while Sol drained limits faster than expected. I think the free refills helped hide the real usage problem.
DeepSeek V4 Flash lost all 9 benchmarks to Opus 4.8
V4 Flash costs $0.14 in and $0.28 out per million tokens. I checked whether its 97 to 99 percent discount makes DeepSeek's benchmark losses worth it.
Kimi K3 matches GPT-5.6. It takes 4.6 times as long
Kimi K3 ties GPT-5.6 medium but takes 4.6 times as long. GLM-5.2 is cheap per token yet costly per task. I checked where both models still win.