AI model comparison

Qwen3.5 397B-A17B vs google/gemma-4-31B-it

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

Qwen3.5 397B-A17B from Alibaba lists 262.14K context, 65.54K maximum output, $0.60 input per 1M tokens, $3.60 output per 1M tokens. google/gemma-4-31B-it from google lists 262.14K context, 32.77K maximum output. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

Alibaba

Qwen3.5 397B-A17B

Qwen3.5 397B-A17B from Alibaba: Large open Qwen multimodal MoE for visual agents and long technical tasks.

Context
262.14K
Max output
65.54K
Input / 1M tokens
$0.60
Output / 1M tokens
$3.60

Accepts

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

Produces

  • Text output
VS

google

google/gemma-4-31B-it

google/gemma-4-31B-it is a source-linked Hugging Face repository assigned to Image-text-to-text. Its recorded task interface accepts image, text and produces text.

Context
262.14K
Max output
32.77K

Accepts

  • Image input
  • Text 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 397B-A17B

  • Maximum output: 65.54K

Context capacity

Higher listed limit

Qwen3.5 397B-A17B:262.14K

google/gemma-4-31B-it:262.14K

Same value

Maximum output

Higher listed limit

Qwen3.5 397B-A17B:65.54K

google/gemma-4-31B-it:32.77K

Qwen3.5 397B-A17B

Specifications

Pricing, limits and capabilities

Specifications for Qwen3.5 397B-A17B and google/gemma-4-31B-it. Higher limits and lower prices describe these figures only.
SpecificationQwen3.5 397B-A17Bgoogle/gemma-4-31B-it
ProviderAlibabagoogle
Listed pricing routeAlibabagoogle
Model familyqwen—
Accepted inputstext, image, video, audioimage, text
Produced outputstexttext
Context window262.14K262.14K
Max output65.54KHigher32.77K
Input price / 1M$0.60—
Output price / 1M$3.60—
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputDocumentedNot documented
Structured outputDocumentedNot documented
LicenseOpen weightsNot documented

Workload guidance

Which model should you choose?

Consider Qwen3.5 397B-A17B 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.

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