AI model comparison

Gemma 4 26B A4B IT vs Qwen/Qwen3.6-27B

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

Gemma 4 26B A4B IT from Google lists 262.14K context, 32.77K maximum output, $0.07 input per 1M tokens, $0.34 output per 1M tokens. Qwen/Qwen3.6-27B from Qwen lists 196.61K context, 65.54K maximum output. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

Google

Gemma 4 26B A4B IT

Gemma 4 26B A4B IT from Google: Open Gemma instruction model for efficient chat and self-hosted deployments.

Context
262.14K
Max output
32.77K
Input / 1M tokens
$0.07
Output / 1M tokens
$0.34

Accepts

  • Text input
  • Image input

Produces

  • Text output
VS

Qwen

Qwen/Qwen3.6-27B

Qwen/Qwen3.6-27B is a source-linked Hugging Face repository assigned to Image-text-to-text. Its recorded task interface accepts image, text and produces text.

Context
196.61K
Max output
65.54K

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.

Gemma 4 26B A4B IT

  • Context capacity: 262.14K

Qwen/Qwen3.6-27B

  • Maximum output: 65.54K

Context capacity

Higher listed limit

Gemma 4 26B A4B IT:262.14K

Qwen/Qwen3.6-27B:196.61K

Gemma 4 26B A4B IT

Maximum output

Higher listed limit

Gemma 4 26B A4B IT:32.77K

Qwen/Qwen3.6-27B:65.54K

Qwen/Qwen3.6-27B

Specifications

Pricing, limits and capabilities

Specifications for Gemma 4 26B A4B IT and Qwen/Qwen3.6-27B. Higher limits and lower prices describe these figures only.
SpecificationGemma 4 26B A4B ITQwen/Qwen3.6-27B
ProviderGoogleQwen
Listed pricing routeGoogleQwen
Model familygemma—
Accepted inputstext, imageimage, text
Produced outputstexttext
Context window262.14KHigher196.61K
Max output32.77K65.54KHigher
Input price / 1M$0.07—
Output price / 1M$0.34—
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputDocumentedNot documented
LicenseOpen weightsNot documented

Workload guidance

Which model should you choose?

Consider Gemma 4 26B A4B IT if you need larger context. Consider Qwen/Qwen3.6-27B 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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