Announcements, tutorials, model analysis, and product updates from AIHubMix.
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GLM-5.3 Prime vs GLM-5.3: Is 2× the Price Worth the Speed?GLM-5.3 Prime is not a new model. It runs the same GLM-5.3 weights in a faster serving mode: Alibaba Cloud Model Studio's Prime mode, which promises 1.5 to 2 times the output speed of the standard API. The answers should be the same quality. What you pay extra for is tokens per second. On AIHubMix, glm-5.3-prime costs $2.35 per million input tokens and $8.23 per million output tokens, about 2.1× what GLM-5.3 costs today. The short answer: * Worth it when a person or an agent loop sits waiti
AI Halloween Photo Templates: 24 Looks for Selfies, Couples, Pets and Shops24 ready-made AI Halloween photo looks on AIHubMix for costumes, couples, pets and shops. Pick one, open it in the Playground with the prompt filled in, and add your photo.
Claude Code settings.json and Environment Variables: Base URL, Auth Token and ModelClaude Code takes its configuration from JSON settings files and from environment variables. To run it through a gateway instead of Anthropic's API, you need two variables, ANTHROPIC_BASE_URL and a token, and usually a model. The variables are simple. What confuses people is where to put them, because the same variable can sit in your shell profile, in several settings.json files and in VS Code's settings. This guide starts with a setup that works, then explains where the files live, which val
MiniMax M3.1 Flash vs DeepSeek V4.1 Flash vs Claude Haiku 5.5: One Bug Fix, Three BillsThree cheap coding models shipped within four weeks of each other: DeepSeek V4.1 Flash (with its 1017 update), Claude Haiku 5.5, and MiniMax M3.1 Flash, which spent its first week as the anonymous Space Bunny. All three have a 1M-token context window and cost between $0.10 and $0.17 per million input tokens. So which one should you use for routine coding? AIHubMix gave all three the same bug fix, three times each, through one API key. Each model fixed the bug correctly every time, but the bill
MiniMax M3.1 Flash Effort Levels: Why the Default Cost 7× Low on the Same Bug FixMiniMax M3.1 Flash has five thinking levels and no off switch. If you don't pick a level, the model picks the deepest one for you. MiniMax's text generation guide says effort "defaults to max when omitted." That default is expensive in a way that's easy to miss. AIHubMix ran the same two-bug fix at every level. The default used about 10× the thinking tokens of low and took about 6× as long, and every run at every level passed all 215 tests. The model's thinking cost rose with the effort settin
Moving Off MiniMax M2.5/M2.7 Before Nov 18: Fixing M3.1 Flash's "requires adaptive thinking" 400MiniMax is retiring M2.5 and M2.7 on 18 November 2026, and the switch has already started. Since 19 October, the two older families have been closed to new users, and plan requests that name them are served by M3.1 Flash. If you're on pay-as-you-go, you have four weeks to change the model ID yourself. Most M2.7 code runs on M3.1 Flash unchanged. The trouble comes from one design choice: M3.1 Flash always thinks, and it thinks at the deepest level unless you say otherwise. That produces one lou
MiniMax M3.1 Flash Is Space Bunny: What Changed from M2.7 and M3, and What It CostsIn late September, a model with no maker's name on it topped OpenRouter's daily chart, ahead of DeepSeek V4.1 Flash, and stayed OpenCode's most-used model for five days straight. It was listed as Space Bunny Alpha, and it was free. That model was MiniMax M3.1 Flash. As of 19 October 2026 you can call it per token on AIHubMix as minimax-m3.1-flash, at $0.165 per million input tokens and $0.66 per million output tokens. The short version: * It replaces M2.7. Starting 19 October, MiniMax sends
How to Set Up Codex config.toml: Custom API, Proxy, and Common ErrorsCodex keeps its settings in one file, config.toml: which model to use, which API to call, and how much the agent may do without asking. The format changed several times in 2026, and many guides from earlier in the year show settings that now stop Codex from starting. This guide gives you a working config first, then the parts most people change: profiles, project settings, the sandbox, and a proxy. At the end is a list of the errors you're likely to see, with what each one means. Checked again
DeepSeek V4.1 Flash 1017 vs V4 Pro: Is the Flash Enough Now?DeepSeek's lineup has an odd shape this autumn. V4 Pro 0813 is the bigger, pricier model: at peak hours its output costs $3.96 per 1M tokens, 3.3 times the Flash's $1.20. But the Flash has been retrained twice since Pro's August release, and the October 17 update, V4.1 Flash 1017, now outscores Pro on every agentic and coding benchmark DeepSeek publishes for both. So is there any coding or agent task left where Pro is worth the premium? By DeepSeek's own numbers, very few. Pro keeps a narrow l
DeepSeek V4.1 Flash 1017 vs Claude Haiku 5.5: Which Cheap Model for Terminal Coding Agents?Ten days apart, the two cheapest serious agent models of October 2026 arrived from opposite directions. Anthropic shipped Claude Haiku 5.5 on October 7 at $0.10 input and $0.50 output per 1M tokens, pitched as the subagent that sits under Sonnet and Opus. DeepSeek answered on October 17 with V4.1 Flash 1017, an update aimed squarely at end-to-end coding work. The decision comes down to one task: a terminal coding session in Claude Code, where the agent reads files, runs tests, and edits code o
Migrating to DeepSeek V4.1 Flash 1017: The reasoning_content 400, the Silent Alias Swap, and Peak-Hour BillingMost migrations start with changing a model name. DeepSeek V4.1 Flash 1017 did it the other way round: on October 17, 2026, DeepSeek kept the name deepseek-flash and changed the model behind it. Anyone calling deepseek-flash, deepseek-v4-flash, or deepseek-v4-flash-vision-exp on DeepSeek's API was moved over without touching a line of code. On AIHubMix the new checkpoint has its own ID, deepseek-v4.1-flash-1017, so you choose when to move. Either way, these are the problems to check: Prob