AI model comparison

DeepSeek V4 Flash 0731 vs Gemma 4 E2B IT

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

DeepSeek V4 Flash 0731 from DeepSeek lists 1M context, 384K maximum output, $0.1596 input per 1M tokens, $0.399 output per 1M tokens. Gemma 4 E2B IT from Google lists 131.07K context, 8.19K maximum output, $0.02 input per 1M tokens, $0.10 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

DeepSeek

DeepSeek V4 Flash 0731

DeepSeek V4 Flash 0731 from DeepSeek: Official DeepSeek V4 Flash release with enhanced agentic capabilities and integrated DSpark speculative decoding.

Context
1M
Max output
384K
Input / 1M tokens
$0.1596
Output / 1M tokens
$0.399

Accepts

  • Text input

Produces

  • Text output
VS

Google

Gemma 4 E2B IT

Gemma 4 E2B IT from Google: Open Gemma instruction model for efficient chat and self-hosted deployments.

Context
131.07K
Max output
8.19K
Input / 1M tokens
$0.02
Output / 1M tokens
$0.10

Accepts

  • Text input
  • Image input
  • Audio input

Produces

  • Text output

At a glance

Key differences

Compare the available figures below, then try both models on the work you need to do.

DeepSeek V4 Flash 0731

  • Context capacity: 1M
  • Maximum output: 384K

Gemma 4 E2B IT

  • Input price: $0.02
  • Output price: $0.10

Context capacity

Higher listed limit

DeepSeek V4 Flash 0731:1M

Gemma 4 E2B IT:131.07K

DeepSeek V4 Flash 0731

Maximum output

Higher listed limit

DeepSeek V4 Flash 0731:384K

Gemma 4 E2B IT:8.19K

DeepSeek V4 Flash 0731

Input price

Lower listed token rate

DeepSeek V4 Flash 0731:$0.1596

Gemma 4 E2B IT:$0.02

Gemma 4 E2B IT

Output price

Lower listed token rate

DeepSeek V4 Flash 0731:$0.399

Gemma 4 E2B IT:$0.10

Gemma 4 E2B IT

Specifications

Pricing, limits and capabilities

Specifications for DeepSeek V4 Flash 0731 and Gemma 4 E2B IT. Higher limits and lower prices describe these figures only.
SpecificationDeepSeek V4 Flash 0731Gemma 4 E2B IT
ProviderDeepSeekGoogle
Listed pricing routeDeepSeekGoogle
Model familydeepseek-flashgemma
Accepted inputstexttext, image, audio
Produced outputstexttext
Context window1MHigher131.07K
Max output384KHigher8.19K
Input price / 1M$0.1596$0.02Lower
Output price / 1M$0.399$0.10Lower
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputNot documentedDocumented
Audio inputNot documentedDocumented
Structured outputDocumentedDocumented
LicenseMITOpen weights

Workload guidance

Which model should you choose?

Consider DeepSeek V4 Flash 0731 if you need larger context or larger maximum output. Consider Gemma 4 E2B IT if you need a lower listed input rate or a lower listed output rate. 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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