AI model comparison

Qwen3.5 9B vs Mistral Medium 3.5

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

Qwen3.5 9B from Alibaba lists 262.14K context, 65.54K maximum output, $0.04 input per 1M tokens, $0.15 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

Alibaba

Qwen3.5 9B

Qwen3.5 9B from Alibaba: Qwen instruction model for multilingual chat, reasoning, and tool use.

Context
262.14K
Max output
65.54K
Input / 1M tokens
$0.04
Output / 1M tokens
$0.15

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.

Qwen3.5 9B

  • Context capacity: 262.14K
  • Input price: $0.04
  • Output price: $0.15

Mistral Medium 3.5

  • Maximum output: 262.14K

Context capacity

Higher listed limit

Qwen3.5 9B:262.14K

Mistral Medium 3.5:256K

Qwen3.5 9B

Maximum output

Higher listed limit

Qwen3.5 9B:65.54K

Mistral Medium 3.5:262.14K

Mistral Medium 3.5

Input price

Lower listed token rate

Qwen3.5 9B:$0.04

Mistral Medium 3.5:$1.50

Qwen3.5 9B

Output price

Lower listed token rate

Qwen3.5 9B:$0.15

Mistral Medium 3.5:$7.50

Qwen3.5 9B

Specifications

Pricing, limits and capabilities

Specifications for Qwen3.5 9B and Mistral Medium 3.5. Higher limits and lower prices describe these figures only.
SpecificationQwen3.5 9BMistral Medium 3.5
ProviderAlibabaMistral AI
Listed pricing routeAlibabaMistral API
Model familyqwenmistral-medium
Accepted inputstext, image, videotext, image
Produced outputstexttext
Context window262.14KHigher256K
Max output65.54K262.14KHigher
Input price / 1M$0.04Lower$1.50
Output price / 1M$0.15Lower$7.50
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputDocumentedDocumented
LicenseOpen weightsModified MIT

Workload guidance

Which model should you choose?

Consider Qwen3.5 9B 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. 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