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AI model comparison

Gemini 1.5 Pro vs Mistral Medium 3.5

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

Gemini 1.5 Pro from Google lists 2M context, 8.19K maximum output, $1.25 input per 1M tokens, $5.00 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 1.5 Pro

Google's long-context multimodal model with up to 2M token windows.

Context
2M
Max output
8.19K
Input / 1M tokens
$1.25
Output / 1M tokens
$5.00
Output speed
65 t/s

Accepts

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

Produces

  • Text output
Full model profileai.google.dev ↗
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
Full model profiledocs.mistral.ai ↗

At a glance

Key differences

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

Gemini 1.5 Pro

  • Context capacity: 2M

Mistral Medium 3.5

  • Maximum output: 262.14K

Context capacity

Higher listed limit

Gemini 1.5 Pro:2M

Mistral Medium 3.5:256K

Gemini 1.5 Pro

Maximum output

Higher listed limit

Gemini 1.5 Pro:8.19K

Mistral Medium 3.5:262.14K

Mistral Medium 3.5

Specifications

Pricing, limits and capabilities

Specifications for Gemini 1.5 Pro and Mistral Medium 3.5. Higher limits and lower prices describe these figures only.
SpecificationGemini 1.5 ProMistral Medium 3.5
ProviderGoogleMistral AI
Listed pricing routeGoogleMistral API
Model familyGemini 1.5mistral-medium
Accepted inputstext, image, audio, videotext, image
Produced outputstexttext
Context window2MHigher256K
Max output8.19K262.14KHigher
Input price / 1M$1.25$1.50
Output price / 1M$5.00$7.50
Output speed65 t/s—
Time to first token0.90s—
Reasoning modeNot documentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputDocumentedNot documented
Structured outputDocumentedDocumented
LicenseProprietaryModified MIT

Workload guidance

Which model should you choose?

Consider Gemini 1.5 Pro if you need larger context. Consider Mistral Medium 3.5 if you need larger maximum output. Mistral Medium 3.5 offers downloadable weights; Gemini 1.5 Pro 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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