Identity mismatchSubstitution detected
Does not match the claimed model gpt-5.6-luna
行为特征与官方 gpt-5.6-luna 明显不符。
Brand consistency2/100
Model match score (gpt-5.6-luna)1/100
Checks11/17 Passed
- Providers
- xyuapi
- Claimed model
- gpt-5.6-luna
- Plan
- Full check
- Reference
- 103 official models
- Requests
- 20
- Duration
- 8 分钟
01Identity check
Behaviour compared with each official referenceIndependent sample A采样 AValidIndependent sample B采样 BInvalidIndependent sample C采样 CInvalidIndependent sample D采样 DInvalidIndependent sample E采样 EValidIndependent sample F采样 FValidReference103 official models · 3/6 Valid
Answer by answer3 answers: 0 match gpt-5.6-luna；another 3 match no model clearly on their own
Similarity to official modelsTop 5
These answers are not close to any official model on file. The percentages below only rank them against each other and do not mean the answers resemble any of these models.
- qwen3-max84%
- qwen3.8-max5%
- qwen-max2%
- deepseek-v4-pro1%
- qwen-turbo1%
02Test details
17 items · 11 passed · 5 notes · 1 failed| No. | Check | Result | Methodology |
|---|---|---|---|
| Connectivity & auth | |||
| A-01 | Endpoint reachable | Passed | The endpoint responds normally |
| A-02 | Key authentication | Passed | API key is valid and allowed to make calls |
| A-03 | Model on sale | Passed | The model list includes gpt-5.6-luna |
| API conformance | |||
| B-01 | Basic call | Passed | Returns the expected content as instructed |
| B-02 | Response structure | Meets the spec | All OpenAI-compatible fields are present |
| B-03 | Model ID echoed back | Match | The model ID in the response matches the request |
| B-04 | Usage record | Complete and consistent | Input, output and total are all present, and the total equals the sum |
| B-05 | Output cleanliness | Nothing added | No inserted ads, watermarks or extra notes found |
| Identity check | |||
| C-01 | Independent sampling | 3 / 6 valid | 首轮未能判定，已追加一轮；部分采样结果不可用于比对 |
| C-02 | Brand consistency | Pending review | Brand match score 2; below the decision threshold |
| C-03 | Model consistency | Mismatch | 型号一致度 1，与官方 gpt-5.6-luna 明显不同 |
| C-04 | Cross-brand swap check | Cannot be identified | Not close to any official model on file, so the substitute's vendor cannot be told |
| Billing & capabilities | |||
| D-01 | Cache billing | Partly works | On average 58% of repeated requests were billed at the cache price; the rest at the regular price. |
| D-02 | Context length | 1M passed | 32K / 128K / 400K / 1M: every tier was read in full. |
| D-03 | Streaming output | Normal | Streamed content is complete |
| D-04 | Tool use | Supported | Returns the correct function name and arguments |
| D-05 | Structured output | Did not follow the schema | The response did not follow the required JSON schema |
03Which apps can connect
Tried once per app with gpt-5.6-luna, the way each app connectsUsing this test’s address, key and model, we test responses and tool calls in each app’s API format. We do not launch the apps or test installation, sign-in or complete tasks.
| Software | Result | Methodology |
|---|---|---|
| Codex | Connects | Replied normally and called the toolConnected the way Codex does (OpenAI Responses format) |
| Cherry Studio, Chatbox, LobeChat, Open WebUI, Cline | Connects | Replied normally and called the toolConnected the way Cherry Studio and similar apps do (OpenAI-compatible format) |
Cache billing check
The same long content was sent 5 times: the 1st is billed at the regular price, and from the 2nd on the repeated part should be billed at the cache price.
Cache billing ratio58.0%
Partly works
On average 58% of repeated requests were billed at the cache price; the rest at the regular price.
Usage this run29.0KCached tokens13.3KNon-cached tokens15.7KAverage per run5.8K
Usage reportedReportedCache billingHappenedResultPartly works
Cache share by testThis is only the cache share the endpoint reported; the real discount is on the bill
Context length check
Long documents are sent tier by tier to check whether the whole document is read.
Verified up to 1M
32K / 128K / 400K / 1M: every tier was read in full.
Reference windowVerified up to 1MThe model center has no reference context window for this model yet.Tested context lengths32K / 128K / 400K / 1MTested from short to long, stopping at the first failure.
- 32KRead in full · 28.2K received
- 128KRead in full · 120.6K received
- 400KRead in full · 375.6K received
- 1MRead in full · 923.2K received
Token usage check
Reported usage is used; estimates appear only when none is reported.
Reported usage1.5MThe actual usage reported by the API; this page goes by it.Estimated usage1.3M-1.8MEstimated from this test's requests.DeviationWithin the estimateThe reported usage is within the estimated range.Usage checkMatches the estimateFigures are as reported by the API; your bill is authoritative.
Method: independent samples from the tested endpoint are compared against reference samples collected from official channels; billing, context and capability items come from real calls. API keys, request bodies and raw model output are not stored.
This report reflects the endpoint at the time of testing.
Reviews
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Mozhenzhen verification report · Measured with real calls
gpt-5.6-luna verification report
Identity mismatchSubstitution detected
Does not match the claimed model gpt-5.6-luna
行为特征与官方 gpt-5.6-luna 明显不符。
Brand consistency2/100
Model match score (gpt-5.6-luna)1/100
Checks11/17 Passed
- Providers
- xyuapi
- Claimed model
- gpt-5.6-luna
- Plan
- Full check
- Reference
- 103 official models
- Requests
- 20
- Duration
- 8 分钟
01Identity check
Behaviour compared with each official referenceIndependent sample A采样 AValidIndependent sample B采样 BInvalidIndependent sample C采样 CInvalidIndependent sample D采样 DInvalidIndependent sample E采样 EValidIndependent sample F采样 FValidReference103 official models · 3/6 Valid
Answer by answer3 answers: 0 match gpt-5.6-luna；another 3 match no model clearly on their own
Similarity to official modelsTop 5
These answers are not close to any official model on file. The percentages below only rank them against each other and do not mean the answers resemble any of these models.
- qwen3-max84%
- qwen3.8-max5%
- qwen-max2%
- deepseek-v4-pro1%
- qwen-turbo1%
02Test details
17 items · 11 passed · 5 notes · 1 failed| No. | Check | Result | Methodology |
|---|---|---|---|
| Connectivity & auth | |||
| A-01 | Endpoint reachable | Passed | The endpoint responds normally |
| A-02 | Key authentication | Passed | API key is valid and allowed to make calls |
| A-03 | Model on sale | Passed | The model list includes gpt-5.6-luna |
| API conformance | |||
| B-01 | Basic call | Passed | Returns the expected content as instructed |
| B-02 | Response structure | Meets the spec | All OpenAI-compatible fields are present |
| B-03 | Model ID echoed back | Match | The model ID in the response matches the request |
| B-04 | Usage record | Complete and consistent | Input, output and total are all present, and the total equals the sum |
| B-05 | Output cleanliness | Nothing added | No inserted ads, watermarks or extra notes found |
| Identity check | |||
| C-01 | Independent sampling | 3 / 6 valid | 首轮未能判定，已追加一轮；部分采样结果不可用于比对 |
| C-02 | Brand consistency | Pending review | Brand match score 2; below the decision threshold |
| C-03 | Model consistency | Mismatch | 型号一致度 1，与官方 gpt-5.6-luna 明显不同 |
| C-04 | Cross-brand swap check | Cannot be identified | Not close to any official model on file, so the substitute's vendor cannot be told |
| Billing & capabilities | |||
| D-01 | Cache billing | Partly works | On average 58% of repeated requests were billed at the cache price; the rest at the regular price. |
| D-02 | Context length | 1M passed | 32K / 128K / 400K / 1M: every tier was read in full. |
| D-03 | Streaming output | Normal | Streamed content is complete |
| D-04 | Tool use | Supported | Returns the correct function name and arguments |
| D-05 | Structured output | Did not follow the schema | The response did not follow the required JSON schema |
03Which apps can connect
Tried once per app with gpt-5.6-luna, the way each app connectsUsing this test’s address, key and model, we test responses and tool calls in each app’s API format. We do not launch the apps or test installation, sign-in or complete tasks.
| Software | Result | Methodology |
|---|---|---|
| Codex | Connects | Replied normally and called the toolConnected the way Codex does (OpenAI Responses format) |
| Cherry Studio, Chatbox, LobeChat, Open WebUI, Cline | Connects | Replied normally and called the toolConnected the way Cherry Studio and similar apps do (OpenAI-compatible format) |
Cache billing check
The same long content was sent 5 times: the 1st is billed at the regular price, and from the 2nd on the repeated part should be billed at the cache price.
Cache billing ratio58.0%
Partly works
On average 58% of repeated requests were billed at the cache price; the rest at the regular price.
Usage this run29.0KCached tokens13.3KNon-cached tokens15.7KAverage per run5.8K
Usage reportedReportedCache billingHappenedResultPartly works
Cache share by testThis is only the cache share the endpoint reported; the real discount is on the bill
Context length check
Long documents are sent tier by tier to check whether the whole document is read.
Verified up to 1M
32K / 128K / 400K / 1M: every tier was read in full.
Reference windowVerified up to 1MThe model center has no reference context window for this model yet.Tested context lengths32K / 128K / 400K / 1MTested from short to long, stopping at the first failure.
- 32KRead in full · 28.2K received
- 128KRead in full · 120.6K received
- 400KRead in full · 375.6K received
- 1MRead in full · 923.2K received
Token usage check
Reported usage is used; estimates appear only when none is reported.
Reported usage1.5MThe actual usage reported by the API; this page goes by it.Estimated usage1.3M-1.8MEstimated from this test's requests.DeviationWithin the estimateThe reported usage is within the estimated range.Usage checkMatches the estimateFigures are as reported by the API; your bill is authoritative.
Method: independent samples from the tested endpoint are compared against reference samples collected from official channels; billing, context and capability items come from real calls. API keys, request bodies and raw model output are not stored.
This report reflects the endpoint at the time of testing.
Reviews
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