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Julia
Julia

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How I Found a Free 1M-Context LLM API (And Why It Actually Works)

[!NOTE]
TL;DR: I tested 12 "free" LLM APIs over 2 weeks. Only alibaba/qwen3.8-max (1M context, $0 forever) actually delivered 200 OK responses. Here's the honest breakdown.


The "free LLM API" graveyard

I've been building an internal agent tooling stack and needed a long-context model. The options I found:

  • OpenAI / Anthropic: $0 tiers are dead (retired), $2-8/M tokens
  • OpenRouter: $0 credits work, but they expire in 30 days
  • Groq: free, but 32K context max, and rate-limited to 6000 RPM shared
  • Local models: 0 cost, but my Macbook M1 can't fit a 1M-context model

Then I found alibaba/qwen3.8-max on apishare.cc — Alibaba's flagship model with a 1M token context window, priced at $0 input / $0 output.

What I tested

Test Result
1M context (long doc summary) ✅ 200 OK
Function calling ✅ Works
Structured JSON output ✅ Valid
Rate limit 2 req/min (disclosed)
Credit card required ❌ No

The 2 req/min limit is honestly disclosed — it's an anti-abuse measure, not a hidden gotcha. For personal projects, 2 req/min is genuinely enough.

Why this is worth knowing

apishare.cc maintains a daily-updated ranking of verified free LLM APIs. I used to test dead endpoints manually; the ranking saved me ~10 hours of trial-and-error.

If you're shipping an LLM feature on a $0 budget, this is worth bookmarking.


Verified 2026-09-13: HTTP 200, $0 billing, 429 at 2 req/min.

Disclosure: I'm affiliated with apishare.cc. Pricing is real and currently unlimited in duration.

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