AI model comparison

MiniMax-M3 vs Mistral Medium 3.5

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

MiniMax-M3 from MiniMax lists 1.05M context, 512K maximum output, $0.30 input per 1M tokens, $1.20 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

MiniMax

MiniMax-M3

MiniMax-M3 from MiniMax: MiniMax multimodal model for long-context coding, perception, and agent planning.

Context
1.05M
Max output
512K
Input / 1M tokens
$0.30
Output / 1M tokens
$1.20

Accepts

  • Text input
  • Image input
  • Video input

Produces

  • Text 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.

MiniMax-M3

  • Context capacity: 1.05M
  • Maximum output: 512K
  • Input price: $0.30
  • Output price: $1.20

Context capacity

Higher listed limit

MiniMax-M3:1.05M

Mistral Medium 3.5:256K

MiniMax-M3

Maximum output

Higher listed limit

MiniMax-M3:512K

Mistral Medium 3.5:262.14K

MiniMax-M3

Input price

Lower listed token rate

MiniMax-M3:$0.30

Mistral Medium 3.5:$1.50

MiniMax-M3

Output price

Lower listed token rate

MiniMax-M3:$1.20

Mistral Medium 3.5:$7.50

MiniMax-M3

Specifications

Pricing, limits and capabilities

Specifications for MiniMax-M3 and Mistral Medium 3.5. Higher limits and lower prices describe these figures only.
SpecificationMiniMax-M3Mistral Medium 3.5
ProviderMiniMaxMistral AI
Listed pricing routeMiniMaxMistral API
Model familyminimaxmistral-medium
Accepted inputstext, image, videotext, image
Produced outputstexttext
Context window1.05MHigher256K
Max output512KHigher262.14K
Input price / 1M$0.30Lower$1.50
Output price / 1M$1.20Lower$7.50
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseOpen weightsModified MIT

Workload guidance

Which model should you choose?

Consider MiniMax-M3 if you need larger context or larger maximum output or 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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