AI model comparison

Qwen3.7 Plus vs Mistral Small 4

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

Qwen3.7 Plus from Alibaba lists 1M context, 64K maximum output, $0.50 input per 1M tokens, $3.00 output per 1M tokens. Mistral Small 4 from Mistral AI lists 256K context, 256K maximum output, $0.15 input per 1M tokens, $0.60 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

Alibaba

Qwen3.7 Plus

Qwen3.7 Plus from Alibaba: Multimodal Qwen workhorse for long-context agents, visual inputs, and coding.

Context
1M
Max output
64K
Input / 1M tokens
$0.50
Output / 1M tokens
$3.00

Accepts

  • Text input
  • Image input
  • Video input

Produces

  • Text output
VS

Mistral AI

Mistral Small 4

Mistral Small 4 combines instruction-following, reasoning and coding in an Apache-2.0 open-weight model released.

Context
256K
Max output
256K
Input / 1M tokens
$0.15
Output / 1M tokens
$0.60

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.

Qwen3.7 Plus

  • Context capacity: 1M

Mistral Small 4

  • Maximum output: 256K
  • Input price: $0.15
  • Output price: $0.60

Context capacity

Higher listed limit

Qwen3.7 Plus:1M

Mistral Small 4:256K

Qwen3.7 Plus

Maximum output

Higher listed limit

Qwen3.7 Plus:64K

Mistral Small 4:256K

Mistral Small 4

Input price

Lower listed token rate

Qwen3.7 Plus:$0.50

Mistral Small 4:$0.15

Mistral Small 4

Output price

Lower listed token rate

Qwen3.7 Plus:$3.00

Mistral Small 4:$0.60

Mistral Small 4

Specifications

Pricing, limits and capabilities

Specifications for Qwen3.7 Plus and Mistral Small 4. Higher limits and lower prices describe these figures only.
SpecificationQwen3.7 PlusMistral Small 4
ProviderAlibabaMistral AI
Listed pricing routeAlibabaMistral API
Model familyqwenmistral-small
Accepted inputstext, image, videotext, image
Produced outputstexttext
Context window1MHigher256K
Max output64K256KHigher
Input price / 1M$0.50$0.15Lower
Output price / 1M$3.00$0.60Lower
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseProprietaryApache-2.0

Workload guidance

Which model should you choose?

Consider Qwen3.7 Plus if you need larger context. Consider Mistral Small 4 if you need larger maximum output or a lower listed input rate or a lower listed output rate. Mistral Small 4 offers downloadable weights; Qwen3.7 Plus 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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