AI model comparison

LongCat-2.0 vs Mistral Medium 3.5

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

LongCat-2.0 from Meituan lists 1M context, 131.07K maximum output, $0.75 input per 1M tokens, $3.00 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

Meituan

LongCat-2.0

LongCat-2.0 from Meituan: Meituan LongCat-2.0, a reasoning model with tool calling and a 1M-token context window.

Context
1M
Max output
131.07K
Input / 1M tokens
$0.75
Output / 1M tokens
$3.00

Accepts

  • Text 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.

LongCat-2.0

  • Context capacity: 1M
  • Input price: $0.75
  • Output price: $3.00

Mistral Medium 3.5

  • Maximum output: 262.14K

Context capacity

Higher listed limit

LongCat-2.0:1M

Mistral Medium 3.5:256K

LongCat-2.0

Maximum output

Higher listed limit

LongCat-2.0:131.07K

Mistral Medium 3.5:262.14K

Mistral Medium 3.5

Input price

Lower listed token rate

LongCat-2.0:$0.75

Mistral Medium 3.5:$1.50

LongCat-2.0

Output price

Lower listed token rate

LongCat-2.0:$3.00

Mistral Medium 3.5:$7.50

LongCat-2.0

Specifications

Pricing, limits and capabilities

Specifications for LongCat-2.0 and Mistral Medium 3.5. Higher limits and lower prices describe these figures only.
SpecificationLongCat-2.0Mistral Medium 3.5
ProviderMeituanMistral AI
Listed pricing routeMeituanMistral API
Model familylongcatmistral-medium
Accepted inputstexttext, image
Produced outputstexttext
Context window1MHigher256K
Max output131.07K262.14KHigher
Input price / 1M$0.75Lower$1.50
Output price / 1M$3.00Lower$7.50
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputNot documentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseProprietaryModified MIT

Workload guidance

Which model should you choose?

Consider LongCat-2.0 if you need larger context or a lower listed input rate or a lower listed output rate. Consider Mistral Medium 3.5 if you need larger maximum output. Mistral Medium 3.5 offers downloadable weights; LongCat-2.0 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.

Compare a different pair

Search by model or provider to explore another comparison.

Open model comparison