LLM7
- Free allowance
- No key required for the ids probed; /v1/models lists 68 ids, none with a zero price
- Verdict
- caveatusable, with a named limit or an unprobed read path
- Cost
- free tier
- Identity
- anonymousno card, no phone
- Binding limit
- request-rateunpublished. One 429 with retry_after 1 was observed on codestral-latest on 2026-10-22 after the same call answered; no rate-limit header is returned; free token (issued at dash.llm7.io): 1 request per second, 60 requests per minute...
- Evidence
- measured6 sources; a live request was made and its output kept
- Freshness
- stale on 2026-11-28checked 2026-10-28 (live); stale on 2026-11-28
| Free tier | no key required for the ids probed; /v1/models lists 68 ids, none with a zero price unit tokens; metered on request-count; the catalogue carries a per-model pricing object in USD per 1M tokens and every one is above zero, which makes the free access a quota rather than a price |
|---|---|
| Price | none stated |
| Limits |
no rate-limit header was returned on a live call, and the ceiling was not probed by provoking 429s, which would spend an allowance belonging to someone else's service. |
| Identity | anonymous no Authorization header sent and none required for the calls that answered. |
| Egress | not published |
| Interface | rest endpoint: https://api.llm7.io/v1/chat/completions |
| Tooling | any OpenAI-compatible client; curl against POST {base}/chat/completions |
| Composes with | pairs with a free-standing agent; the undocumented rate ceiling is the scarce link, because a retry loop is needed and the ceiling it loops against is not published |
| Reliability | one id was refused with 429 'Rate limit exceeded. Retry after 1 seconds' in the second run after answering in the first, eight minutes apart |
| Notes | The cleanest available ordering in the sweep: nemotron-3-nano:30b measured 53.12 and 86.43 tok/s and codestral-latest 127.60 and a 429. The two ids recorded as listed-but-refusing, GLM-5.3-Flash and DeepSeek-V4-Flash-0731, do not appear in /v1/models at all; the catalogue carries glm-5.3 and deepseek-v4-flash:0731, so a 400 on the unpublished slug proves nothing about the catalogue's honesty. |
| Evidence note | measured four ids were called twice. The answer rate is third-party; No quota is published, so the ceiling is measured only as 'it answered now'. |
| Parsed numbers |
|
Evidence 6
| date | source | what it proved |
|---|---|---|
| 2026-10-22 | probe: https://api.llm7.io/v1/chat/completions | nemotron-3-nano:30b answered 200 with the model echoed and the needle present, 67 completion tokens, 672 ms in run 1 and 631 ms in run 2; codestral-latest answered in run 1 and returned 429 rate_limit_exceeded in run 2 |
| 2026-10-22 | api.llm7.io/v1/models | 68 model ids each carrying a pricing object with input, output and cached_input in USD per 1M tokens; no id is priced at zero; glm-5.3 and deepseek-v4-flash:0731 are listed, while the two slugs the sweep sent, GLM-5.3-Flash and DeepSeek-V4-Flash-0731, are absent |
| 2026-10-28 | llm7.io/ | the free-token limits are 1 request per second, 60 per minute, 250 per hour and 100,000 tokens per day |
| 2026-10-28 | docs.llm7.io/limits | the first-party limits table for /v1/chat/completions lists a Free token row (1 per second, 60 per minute, 250 per hour) and a Pro row, and no anonymous or keyless row |
| 2026-10-28 | llm7.io/ | the documented free token is issued at dash.llm7.io against an email address; the keyless call is not documented |
| 2026-10-28 | probe: https://api.llm7.io/v1/chat/completions | one POST with no Authorization header for nemotron-3-nano:30b answered 200 and echoed model nemotron-3-nano:30b; content was empty with a reasoning field and finish_reason length at max_tokens 64; no rate-limit header was returned (headers: server cloudflare, x-llm-gateway-cache MISS, x-request-id) |
Unknown values 3
- egress metered: egress metering was not published
- per object cap stated: the field does not apply to this kind of offer
- retention stated: the field does not apply to this kind of offer
Corrections
- 2026-10-22 Corrected on 2026-10-22: inference/llm7, inference/ovh-ai-endpoints