Is deepseek-v4-pro genuine? Standard check result

Report ID MZZR2026070805093260DC93Generated at 2026/07/08 13:09

Highly matched

deepseek-v4-pro 本次标准验真结果：Highly matched（100/100）。本轮主要检测项均已Passed。

100Model consistency score

All primary checks passed in this run.

Tested byMozhenzhen

Tested modelDeepSeek V4 Pro

ProvidersConeverse AI

Requests108

Duration1 min 8 sec

Identity verdictVerified

ReferenceMozhenzhen's own test standard

A newer test record is availableThis report preserves the result at the time of testing and remains valid as a record. You can also view the newer report。

Token usage check

Reported usage is used; estimates appear only when none is reported.

Reported usage1.4MThe actual usage reported by the API; this page goes by it.Estimated usage1.7MEstimated from this test's requests.Deviation16% belowThe reported usage is below the estimate, possibly because of how tokens are counted or compressed.Usage checkBelow the estimateFigures are as reported by the API; your bill is authoritative.

Token cache usage test

Several runs in a row to see whether repeated content is billed at the cheaper cache rate; 0% means no cache discount this time.

Total 5 request

Share billed at the cache rate94.5%

Cache discount applied consistently

Every run was billed at the cache rate, so long chats save real money.

Usage this run13.5KCached tokens12.8KNon-cached tokens744Average per run2.7K

Usage reportedReportedCache billingHappenedResultNormal

Cache share by testThis is only the cache share the endpoint reported; the real discount is on the bill

Long-context test

We test how much it can read at once, then compare that with the officially stated length.

7 tiers

Verified up to 1M

All tested context tiers (32K / 64K / 100K / 200K / 400K / 800K / 1M) returned reliably.

Reference windowReference window 1MModel-center context window; available lengths may vary by provider.Tested context lengths32K / 64K / 100K / 200K / 400K / 800K / 1MTests begin at the longest generated context and step down to verify stable, correct responses.

Results for this test

Review API availability, model identity, response completeness, and other checks separately.

Scoring breakdown

Highly matched100/100

All primary checks passed in this run.

Can you call it, and is the model listed15 / 15

No deductions

Does the API respond properly15 / 15

No deductions

Is it the model it claims to be20 / 20

No deductions

Does it answer like the official model20 / 20

No deductions

Is usage and billing reasonable15 / 15

No deductions

Will it keep working15 / 15

No deductions

Test details

Expand any row for details; anything private has been removed.

20 checks

Model list visibility

deepseek-v4-pro is visible in the API model list.

Passed

Test details

This test ran 85 times; result: Passed.

Basic call probe

The basic API call succeeded and returned a recognizable response.

Passed

Test details

This test ran 1 times; result: Passed.

Model self-identification

Asked the model to identify itself; all 1 responses matched the expected name.

Passed

Test details

This test ran 1 times: 1 passed.
This test used 523 tokens

指令跟随

用几道题看它的回答水平像不像官方模型。 1 次都对。

Passed

Test details

This test ran 1 times: 1 passed.
This test used 46 tokens

JSON 结构

用几道题看它的回答水平像不像官方模型。 1 次都对。

Passed

Test details

This test ran 1 times: 1 passed.
This test used 57 tokens

标签结构复述

按官方接口的标准调用，看返回是否规范。 1 次都对。

Passed

Test details

This test ran 1 times: 1 passed.
This test used 98 tokens

隐藏提示词边界

用几道题看它的回答水平像不像官方模型。 1 次都对。

Passed

Test details

This test ran 1 times: 1 passed.
This test used 72 tokens

品牌边界

Asked the model to identify itself; all 1 responses matched the expected name.

Passed

Test details

This test ran 1 times: 1 passed.
This test used 114 tokens

用量数据是否完整

核对它报回来的用量和缓存计费。 1 次都对。

Passed

Test details

This test ran 1 times: 1 passed.
This test used 58 tokens

DeepSeek 推理边界

Asked the model to identify itself; all 1 responses matched the expected name.

Passed

Test details

This test ran 1 times: 1 passed.
This test used 122 tokens

模型代码锚定

Asked the model to identify itself; all 1 responses matched the expected name.

Passed

Test details

This test ran 1 times: 1 passed.
This test used 124 tokens

Model-family test: series and tier identification

Asked the model to identify itself; all 1 responses matched the expected name.

Passed

Test details

This test ran 1 times: 1 passed.
This test used 110 tokens

连问 5 次，重复内容有没有按缓存价计费

针对这个模型再做一项专门检测。 5 次都对。

Passed

Test details

This test ran 5 times: 5 passed.
This test used 13.5K tokens
of which 12.8K tokens were billed at the cache price

32K 上下文能力实测

32K 长度的内容能稳定读完，这就是本次上下文实测的依据。

Passed

Test details

This test ran 1 times: 1 passed.
Content length used: 32K
This test used 17.5K tokens
of which 17.3K tokens were billed at the cache price

64K 上下文能力实测

64K 长度的内容能稳定读完，这就是本次上下文实测的依据。

Passed

Test details

This test ran 1 times: 1 passed.
Content length used: 64K
This test used 34.9K tokens
of which 34.6K tokens were billed at the cache price

100K 上下文能力实测

100K 长度的内容能稳定读完，这就是本次上下文实测的依据。

Passed

Test details

This test ran 1 times: 1 passed.
Content length used: 100K
This test used 53.5K tokens
of which 53.4K tokens were billed at the cache price

200K 上下文能力实测

200K 长度的内容能稳定读完，这就是本次上下文实测的依据。

Passed

Test details

This test ran 1 times: 1 passed.
Content length used: 200K
This test used 107.0K tokens
of which 106.8K tokens were billed at the cache price

400K 上下文能力实测

400K 长度的内容能稳定读完，这就是本次上下文实测的依据。

Passed

Test details

This test ran 1 times: 1 passed.
Content length used: 400K
This test used 213.7K tokens
of which 213.5K tokens were billed at the cache price

800K 上下文能力实测

800K 长度的内容能稳定读完，这就是本次上下文实测的依据。

Passed

Test details

This test ran 1 times: 1 passed.
Content length used: 800K
This test used 427.3K tokens
of which 427.0K tokens were billed at the cache price

1M 上下文能力实测

1M 长度的内容能稳定读完，这就是本次上下文实测的依据。

Passed

Test details

This test ran 1 times: 1 passed.
Content length used: 1M
This test used 550.6K tokens
of which 550.3K tokens were billed at the cache price

Reviews

还没有人评论，来写第一条。

发表评论

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Mozhenzhen verification report · Measured with real calls

Is deepseek-v4-pro genuine? Standard check result

Report ID:MZZR2026070805093260DC93Generated at：2026/07/08 13:09

Provider details AI model details

A newer test record is availableThis report preserves the result at the time of testing and remains valid as a record. You can also view the newer report。

Model consistency score

Highly matched

deepseek-v4-pro 本次标准验真结果：Highly matched（100/100）。本轮主要检测项均已Passed。

Tested byMozhenzhen

Tested modelDeepSeek V4 Pro

ProvidersConeverse AI

Requests108

Duration1 min

Identity verdictVerified

ReferenceMozhenzhen's own test standard

Token usage check

Reported usage is used; estimates appear only when none is reported.

Token cache usage test

Several runs in a row to see whether repeated content is billed at the cheaper cache rate; 0% means no cache discount this time.

Total 5 request

Share billed at the cache rate94.5%

Cache discount applied consistently

Every run was billed at the cache rate, so long chats save real money.

Usage this run13.5KCached tokens12.8KNon-cached tokens744Average per run2.7K

Usage reportedReportedCache billingHappenedResultNormal

Cache share by testThis is only the cache share the endpoint reported; the real discount is on the bill

Long-context test

We test how much it can read at once, then compare that with the officially stated length.

7 tiers

Verified up to 1M

All tested context tiers (32K / 64K / 100K / 200K / 400K / 800K / 1M) returned reliably.

Results for this test

Review API availability, model identity, response completeness, and other checks separately.

Scoring breakdown

Highly matched100/100

All primary checks passed in this run.

Can you call it, and is the model listed15 / 15

No deductions

Does the API respond properly15 / 15

No deductions

Is it the model it claims to be20 / 20

No deductions

Does it answer like the official model20 / 20

No deductions

Is usage and billing reasonable15 / 15

No deductions

Will it keep working15 / 15

No deductions

Test details

Expand any row for details; anything private has been removed

20 checks

Model list visibility

deepseek-v4-pro is visible in the API model list.

Passed

Test details

This test ran 85 times; result: Passed.

Basic call probe

The basic API call succeeded and returned a recognizable response.

Passed

Test details

This test ran 1 times; result: Passed.

Model self-identification

Asked the model to identify itself; all 1 responses matched the expected name.

Passed

Test details

This test ran 1 times: 1 passed.
This test used 523 tokens

指令跟随

用几道题看它的回答水平像不像官方模型。 1 次都对。

Passed

Test details

This test ran 1 times: 1 passed.
This test used 46 tokens

JSON 结构

用几道题看它的回答水平像不像官方模型。 1 次都对。

Passed

Test details

This test ran 1 times: 1 passed.
This test used 57 tokens

标签结构复述

按官方接口的标准调用，看返回是否规范。 1 次都对。

Passed

Test details

This test ran 1 times: 1 passed.
This test used 98 tokens

隐藏提示词边界

用几道题看它的回答水平像不像官方模型。 1 次都对。

Passed

Test details

This test ran 1 times: 1 passed.
This test used 72 tokens

品牌边界

Asked the model to identify itself; all 1 responses matched the expected name.

Passed

Test details

This test ran 1 times: 1 passed.
This test used 114 tokens

用量数据是否完整

核对它报回来的用量和缓存计费。 1 次都对。

Passed

Test details

This test ran 1 times: 1 passed.
This test used 58 tokens

DeepSeek 推理边界

Asked the model to identify itself; all 1 responses matched the expected name.

Passed

Test details

This test ran 1 times: 1 passed.
This test used 122 tokens

模型代码锚定

Asked the model to identify itself; all 1 responses matched the expected name.

Passed

Test details

This test ran 1 times: 1 passed.
This test used 124 tokens

Model-family test: series and tier identification

Asked the model to identify itself; all 1 responses matched the expected name.

Passed

Test details

This test ran 1 times: 1 passed.
This test used 110 tokens

连问 5 次，重复内容有没有按缓存价计费

针对这个模型再做一项专门检测。 5 次都对。

Passed

Test details

This test ran 5 times: 5 passed.
This test used 13.5K tokens
of which 12.8K tokens were billed at the cache price

32K 上下文能力实测

32K 长度的内容能稳定读完，这就是本次上下文实测的依据。

Passed

Test details

This test ran 1 times: 1 passed.
Content length used: 32K
This test used 17.5K tokens
of which 17.3K tokens were billed at the cache price

64K 上下文能力实测

64K 长度的内容能稳定读完，这就是本次上下文实测的依据。

Passed

Test details

This test ran 1 times: 1 passed.
Content length used: 64K
This test used 34.9K tokens
of which 34.6K tokens were billed at the cache price

100K 上下文能力实测

100K 长度的内容能稳定读完，这就是本次上下文实测的依据。

Passed

Test details

This test ran 1 times: 1 passed.
Content length used: 100K
This test used 53.5K tokens
of which 53.4K tokens were billed at the cache price

200K 上下文能力实测

200K 长度的内容能稳定读完，这就是本次上下文实测的依据。

Passed

Test details

This test ran 1 times: 1 passed.
Content length used: 200K
This test used 107.0K tokens
of which 106.8K tokens were billed at the cache price

400K 上下文能力实测

400K 长度的内容能稳定读完，这就是本次上下文实测的依据。

Passed

Test details

This test ran 1 times: 1 passed.
Content length used: 400K
This test used 213.7K tokens
of which 213.5K tokens were billed at the cache price

800K 上下文能力实测

800K 长度的内容能稳定读完，这就是本次上下文实测的依据。

Passed

Test details

This test ran 1 times: 1 passed.
Content length used: 800K
This test used 427.3K tokens
of which 427.0K tokens were billed at the cache price

1M 上下文能力实测

1M 长度的内容能稳定读完，这就是本次上下文实测的依据。

Passed

Test details

This test ran 1 times: 1 passed.
Content length used: 1M
This test used 550.6K tokens
of which 550.3K tokens were billed at the cache price

Reviews

还没有人评论，来写第一条。