AI model comparison

deepseek-ai/DeepSeek-OCR-2 vs deepseek-ai/DeepSeek-V4-Flash

Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.

deepseek-ai/DeepSeek-OCR-2 from deepseek-ai lists limited public specifications. deepseek-ai/DeepSeek-V4-Flash from deepseek-ai lists 1M context, 384K maximum output, $0.14 input per 1M tokens, $0.28 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences
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Specifications

Pricing, limits and capabilities

Specifications for deepseek-ai/DeepSeek-OCR-2 and deepseek-ai/DeepSeek-V4-Flash. Higher limits and lower prices describe these figures only.
Specificationdeepseek-ai/DeepSeek-OCR-2deepseek-ai/DeepSeek-V4-Flash
Providerdeepseek-aideepseek-ai
Listed pricing routedeepseek-aideepseek-ai
Model family——
Accepted inputsimage, texttext
Produced outputstexttext
Context window—1M
Max output—384K
Input price / 1M—$0.14
Output price / 1M—$0.28
Reasoning modeNot documentedDocumented
Tool callingNot documentedDocumented
Image inputDocumentedNot documented
Audio inputNot documentedNot documented
Structured outputNot documentedNot documented
LicenseNot documentedNot documented

Workload guidance

Which model should you choose?

The recorded figures alone do not establish a clear choice. deepseek-ai/DeepSeek-V4-Flash offers downloadable weights; deepseek-ai/DeepSeek-OCR-2 is listed as a proprietary model. Compare licence terms and operating costs before choosing a deployment. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.

Documentation and model profiles

Explore each model’s features, API requirements and licence terms in the sources below.

Questions people ask

It brings together documented inputs and outputs, token limits, deployment terms and available pricing. When both models have source-linked, verified results on a shared benchmark, those results are shown with their individual sources. The comparison is a starting point for evaluating your own workload.

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