1. Opencode (Free)

Opencode offers several free models through their Zen API endpoint, including Muse Spark 1.2 Contributor Free (a strong general-purpose model Meta recently open-sourced), along with free tiers of MiMo-V2.5, Ling 3.0 Flash Fin, and NVIDIA's Nemotron 3 series. To set it up, configure your client to use the Opencode Zen endpoint and select from the available free models. These are offered for a limited time while providers collect feedback.

1. Alibaba Cloud Model Studio (Free tier)

Sign up for an Alibaba Cloud account and activate Model Studio. New users get 1 million free tokens per model, valid for 90 days. This includes access to Qwen3.8-Max, their current flagship, which is priced at 2.00/6.00 dollars per million tokens after the free quota. Note that the free quota is per model and can't be transferred between models.

1. OpenRouter (Free tier)

OpenRouter provides free access to a rotating catalog of models. As of August 2026, this includes NVIDIA Nemotron 3 Ultra, Ling 3.0 Flash, Poolside Laguna, and others. The free catalog changes frequently models get added and delisted so it's useful for experimentation but not ideal for production workflows that need guaranteed availability.

1. Watch for stealth drops

Sometimes labs release models anonymously for free testing before the official launch. A recent example: Ox Alpha, which dropped for free on OpenRouter and OpenCode in August 2026 and was later revealed to be GLM-5.3-Flash from Z.ai (Zhipu). Following AI communities on Reddit, X, or Discord is the best way to catch these.

1. DeepSeek API (Very cheap)

If you do need to pay, DeepSeek is the most cost-effective frontier API. As of August 2026, V4 Flash costs 0.22 per million input tokens and 0.66 per million output tokens (off-peak). At current exchange rates, ₱92–95 (about 1.60 USD) gets you several million tokens, not just one million. Plan your prompts carefully to minimize token waste. Use Alipay via Gcash to buy it.

I assume you guys are competent enough to follow the official setup docs for each platform, or just use AI to help you configure them.

hey i am currently employed but would like to earn more on the side. looking into freelancing, it seems like there are TOO many people. the market is crazy. is it still worth fighting for my spot in freelance? what other options do i have for side income?

For those using Codex, Claude Code, or similar AI coding tools, what do you think about developers who can't afford them and have to rely on free resources while building applications from scratch?

When one developer can afford powerful AI coding tools and another can't, is that an unfair advantage—or simply a difference in productivity?

Personally, I still use AI, but mainly for research, asking questions, and getting small code snippets so I can understand how something works. I don't use AI coding agents to build entire applications for me, so my development process is much slower.

Could building this way lead to a deeper understanding of the fundamentals, or does the speed advantage of AI-assisted development outweigh that?

I'm curious about both sides, especially from people who have experienced both approaches.

If AI can dramatically increase how quickly someone can build software, does not being able to afford it mean you're genuinely falling behind—or can someone who learns and builds mostly from scratch still compete on equal footing?