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🎁 Trials (no card when possible) · no card · not offered in mainland China · live — last verified by a probe on 2026-11-01 · hpc-ai.com · back to the whole list
OpenAI-compatible inference with $2 of signup credit, or $4 in total with the vendor invite code, before any deposit
The free offer is a budget for model usage across the catalog. See Limits for its conditions and Connect for API details, where available.
Standard signup grant: $2 once per account
Signup grant with invite code: $4 once per account (Use invite code HPCAI-MAPI)
L0 before first deposit: 5 requests/minute per account per model; for zai-org/glm-5.3-flash, moonshotai/kimi-k2.7-code, zai-org/glm-5.3, deepseek/deepseek-v4-flash, anthropic/claude-fable-5, anthropic/claude-opus-4.7, anthropic/claude-opus-4.8, anthropic/claude-opus-5, moonshotai/kimi-k3, openai/gpt-5.5, openai/gpt-oss-120b, qwen/qwen3.8-2.4t-a95b, qwen/qwen3.8-max, zai-org/glm-5.2, anthropic/claude-opus-4.6, xiaomi/mimo-v2.5-pro, xiaomi/mimo-v2.5, moonshotai/kimi-k2.6, nvidia/nemotron-3-ultra-550b-a55b, minimax/minimax-m3, qwen/qwen-3.5-397b-a17b, qwen/qwen-3.5-35b-a3b, qwen/qwen-3.5-27b
Standard L0 models: 2,000,000 tokens/minute per account per model; for zai-org/glm-5.3-flash, moonshotai/kimi-k2.7-code, zai-org/glm-5.3, deepseek/deepseek-v4-flash, anthropic/claude-fable-5, anthropic/claude-opus-4.7, anthropic/claude-opus-4.8, anthropic/claude-opus-5, moonshotai/kimi-k3, openai/gpt-5.5, openai/gpt-oss-120b, qwen/qwen3.8-2.4t-a95b, qwen/qwen3.8-max, zai-org/glm-5.2, xiaomi/mimo-v2.5-pro, xiaomi/mimo-v2.5, moonshotai/kimi-k2.6, nvidia/nemotron-3-ultra-550b-a55b, minimax/minimax-m3, qwen/qwen-3.5-397b-a17b, qwen/qwen-3.5-35b-a3b, qwen/qwen-3.5-27b
L0: Claude Opus 4.6: 10,000,000 tokens/minute per account per model; for anthropic/claude-opus-4.6
The invite-code grant is the total signup balance, not an extra amount added to the standard grant; supplies are limited. Credit spends at model list prices. L0 applies before the first deposit; spending alone does not promote an account to L1. Claude Opus 4.6 has a higher token rate than the other positive-RPM L0 models; DeepSeek V4 Pro has zero L0 RPM. No card requirement or credit expiry is published.
Not offered in mainland China (source, read 2026-10-19). That leaves out 5.9% of the developers GitHub counts, beyond the countries under comprehensive US embargo (Innovation Graph, 2026 Q1). In the vendor’s words: “The Services are not offered or made available to customers or users located in Mainland China.”.
What you send is not used to train models. In the vendor’s words: “No customer request data is used for model training unless explicitly agreed otherwise.” (source).
https://api.hpc-ai.com/inference/v1HPC_AI_API_KEY — get one at https://www.hpc-ai.com/models-console/api-keyconfigs/codex/hpc-ai.config.toml — copy it to ~/.codex/, then codex -p hpc-ai; set up on the lane by the vendor’s own page, https://www.hpc-ai.com/doc/docs/Model-APIs/Integration/Codex/: “Codex CLI and the Codex IDE extension share the same config.toml layers”zai-org/glm-5.3-flash, moonshotai/kimi-k2.7-code, minimax/minimax-m3Try it from your terminal with your key in HPC_AI_API_KEY — it goes from your machine to the vendor and nowhere else:
curl -s https://api.hpc-ai.com/inference/v1/chat/completions \
-H "Authorization: Bearer $HPC_AI_API_KEY" \
-H 'Content-Type: application/json' \
-d '{"model":"zai-org/glm-5.3-flash","messages":[{"role":"user","content":"2+2? MAKE NO MISTAKES."}]}'
Do you offer a free trial for users? and in free credits. New accounts using the invite code in the page’s own data; ids checked in https://www.hpc-ai.com/api/maas/v1/modelsEach line is a change to what this page publishes, dated the day it reached the list, in UTC.
2026-09-17 — Added: OpenAI-compatible APIs over 24 models, GLM 5.3 Flash, Kimi K3 and MiniMax M3 among them, with $2 of free credit for every user — $4 with the vendor’s invite code — at 5 requests a minute until a first depositGenerated from registry.yaml on 2026-11-02 and re-verified twice a week; the full list, the Atom feed and the machinery are at https://github.com/mvalentsev/awesome-free-ai-coding.