与官方 glm-5.3-flash 高度相似
行为特征与官方 glm-5.3-flash 高度相似,未达确认标准,与 glm-5.3 难以区分。
- Providers
- inferhub.dev
- Claimed model
- glm-5.3-flash
- Plan
- Full check
- Reference
- 104 official models
- Requests
- 23
- Duration
- 8 分钟
01Identity check
Behaviour compared with each official referenceAnswer by answer9 answers: 5 match glm-5.3-flash;another 4 match no model clearly on their own
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.
- glm-5.3-flashClaimed model97%
- glm-5.32%
- claude-fable-5<1%
- hy4-preview<1%
- claude-sonnet-5-5<1%
02Test details
17 items · 13 passed · 4 notes · 0 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 glm-5.3-flash |
| 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 | Inconsistent | Total 91 does not equal the sum 32 |
| B-05 | Output cleanliness | Nothing added | No inserted ads, watermarks or extra notes found |
| Identity check | |||
| C-01 | Independent sampling | 9 / 9 valid | 首轮未能判定,已追加两轮;独立采样均可用于比对 |
| C-02 | Brand consistency | Match | Behavior belongs to the Zhipu GLM family; brand match score 99 |
| C-03 | Model consistency | Below confirmation threshold | 型号一致度 97,与 glm-5.3 难以区分 |
| C-04 | Cross-brand swap check | None found | Similarity to other brands' models totals under 5% |
| Billing & capabilities | |||
| D-01 | Cache billing | Partly works | On average 50% 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 glm-5.3-flash, 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) |
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.
On average 50% of repeated requests were billed at the cache price; the rest at the regular price.
Long documents are sent tier by tier to check whether the whole document is read.
32K / 128K / 400K / 1M: every tier was read in full.
- 32KRead in full · 31.4K received
- 128KRead in full · 120.1K received
- 400KRead in full · 383.6K received
- 1MRead in full · 904.1K received
Token usage check
Reported usage is used; estimates appear only when none is reported.
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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Before you buy AI, check Mozhenzhenglm-5.3-flash verification report
与官方 glm-5.3-flash 高度相似
行为特征与官方 glm-5.3-flash 高度相似,未达确认标准,与 glm-5.3 难以区分。
- Providers
- inferhub.dev
- Claimed model
- glm-5.3-flash
- Plan
- Full check
- Reference
- 104 official models
- Requests
- 23
- Duration
- 8 分钟
01Identity check
Behaviour compared with each official referenceAnswer by answer9 answers: 5 match glm-5.3-flash;another 4 match no model clearly on their own
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.
- glm-5.3-flashClaimed model97%
- glm-5.32%
- claude-fable-5<1%
- hy4-preview<1%
- claude-sonnet-5-5<1%
02Test details
17 items · 13 passed · 4 notes · 0 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 glm-5.3-flash |
| 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 | Inconsistent | Total 91 does not equal the sum 32 |
| B-05 | Output cleanliness | Nothing added | No inserted ads, watermarks or extra notes found |
| Identity check | |||
| C-01 | Independent sampling | 9 / 9 valid | 首轮未能判定,已追加两轮;独立采样均可用于比对 |
| C-02 | Brand consistency | Match | Behavior belongs to the Zhipu GLM family; brand match score 99 |
| C-03 | Model consistency | Below confirmation threshold | 型号一致度 97,与 glm-5.3 难以区分 |
| C-04 | Cross-brand swap check | None found | Similarity to other brands' models totals under 5% |
| Billing & capabilities | |||
| D-01 | Cache billing | Partly works | On average 50% 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 glm-5.3-flash, 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) |
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.
On average 50% of repeated requests were billed at the cache price; the rest at the regular price.
Long documents are sent tier by tier to check whether the whole document is read.
32K / 128K / 400K / 1M: every tier was read in full.
- 32KRead in full · 31.4K received
- 128KRead in full · 120.1K received
- 400KRead in full · 383.6K received
- 1MRead in full · 904.1K received
Token usage check
Reported usage is used; estimates appear only when none is reported.
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
还没有人评论,来写第一条。
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