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curl https://aihubmix.cyou/v1/messages \-H "x-api-key: sk-***" \-H "anthropic-version: 2023-06-01" \-H "content-type: application/json" \-d '{"model": "claude-opus-4-7", "max_tokens": 1024,"messages": [{"role":"user","content":"Hi"}]}' # claude-sonnet-4-7 / claude-haiku-4-7



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Discover apps using AIHubMix. Eligible usage receives 10% off, excluding Claude models.Model Rankings
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Recent Blog Posts
What Is Mistral Large 4? A Trillion-Parameter Specialist from Europe
Mistral Large 4 is Mistral AI's new flagship. It has about one trillion parameters, it is trained from scratch in Europe, and its open weights are due at the end of October 2026. It isn't the smartest model available. What makes it notable is that it leads in a few areas where closed flagships either refuse or fall behind: defensive security work, locating objects in images, and legal research agents. Mistral released it on October 6, 2026 as a public preview. Its nickname is "Le Chonk". This
Migrating from Claude Haiku 4.5 to 5.5: Five 400 Errors and the Quiet Changes
Changing claude-haiku-4-5 to claude-haiku-5-5 is the smallest part of this migration. Five request patterns that worked on Haiku 4.5 now return a 400 error, and several more changes fail no request but alter what you get back, what it costs, or how the model behaves inside an agent. Anthropic says existing Haiku 4.5 prompts should work well on Haiku 5.5 without changes. The request code around those prompts is a different story. This post lists each problem as you'll meet it: what you'll see,
Claude Haiku 5.5 Pricing: The 100K Line Behind the 90% Cut
Claude Haiku 5.5 costs $0.10 per million input tokens and $0.50 per million output tokens, a tenth of Haiku 4.5's $1 and $5. That holds for prompts up to 100,000 tokens. Above that line, the whole request is billed at $0.50 and $2.50, which is half of Haiku 4.5's price rather than a tenth. Anthropic puts the typical saving at around 75%, not 90%, and the difference comes from three things this post works through: where your prompts fall relative to the 100K line, how many thinking tokens the d



