AI model comparison

Gemini Deep Research Preview vs Mistral Medium 3.5

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

Gemini Deep Research Preview from Google lists 1.05M context, 65.54K maximum output, $2.00 input per 1M tokens, $12.00 output per 1M tokens. Mistral Medium 3.5 from Mistral AI lists 256K context, 262.14K maximum output, $1.50 input per 1M tokens, $7.50 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

Google

Gemini Deep Research Preview

Gemini Deep Research Preview from Google: Agentic model for autonomous multi-step research, synthesis, and cited reports.

Context
1.05M
Max output
65.54K
Input / 1M tokens
$2.00
Output / 1M tokens
$12.00

Accepts

  • Text input
  • Image input
  • Video input
  • Audio input
  • PDF input

Produces

  • Text output
  • Image output
VS

Mistral AI

Mistral Medium 3.5

Mistral Medium 3.5 is an open-weight multimodal model for coding and agent applications, released.

Context
256K
Max output
262.14K
Input / 1M tokens
$1.50
Output / 1M tokens
$7.50

Accepts

  • Text input
  • Image 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.

Gemini Deep Research Preview

  • Context capacity: 1.05M

Mistral Medium 3.5

  • Maximum output: 262.14K
  • Input price: $1.50
  • Output price: $7.50

Context capacity

Higher listed limit

Gemini Deep Research Preview:1.05M

Mistral Medium 3.5:256K

Gemini Deep Research Preview

Maximum output

Higher listed limit

Gemini Deep Research Preview:65.54K

Mistral Medium 3.5:262.14K

Mistral Medium 3.5

Input price

Lower listed token rate

Gemini Deep Research Preview:$2.00

Mistral Medium 3.5:$1.50

Mistral Medium 3.5

Output price

Lower listed token rate

Gemini Deep Research Preview:$12.00

Mistral Medium 3.5:$7.50

Mistral Medium 3.5

Specifications

Pricing, limits and capabilities

Specifications for Gemini Deep Research Preview and Mistral Medium 3.5. Higher limits and lower prices describe these figures only.
SpecificationGemini Deep Research PreviewMistral Medium 3.5
ProviderGoogleMistral AI
Listed pricing routeGoogleMistral API
Model familygemini-promistral-medium
Accepted inputstext, image, video, audio, pdftext, image
Produced outputstext, imagetext
Context window1.05MHigher256K
Max output65.54K262.14KHigher
Input price / 1M$2.00$1.50Lower
Output price / 1M$12.00$7.50Lower
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputDocumentedNot documented
Structured outputNot documentedDocumented
LicenseProprietaryModified MIT

Workload guidance

Which model should you choose?

Consider Gemini Deep Research Preview if you need larger context. Consider Mistral Medium 3.5 if you need larger maximum output or a lower listed input rate or a lower listed output rate. Mistral Medium 3.5 offers downloadable weights; Gemini Deep Research Preview 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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