AI model comparison

Claude Opus 4.7 vs Qwen/Qwen3.6-27B

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

Claude Opus 4.7 from Anthropic lists 1M context, 128K maximum output, $5.00 input per 1M tokens, $25.00 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

Anthropic

Claude Opus 4.7

Claude Opus 4.7 from Anthropic: Stronger Opus tier for advanced software work and high-stakes reasoning.

Context
1M
Max output
128K
Input / 1M tokens
$5.00
Output / 1M tokens
$25.00

Accepts

  • Text input
  • Image input
  • PDF 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.

Claude Opus 4.7

  • Context capacity: 1M
  • Maximum output: 128K

Context capacity

Higher listed limit

Claude Opus 4.7:1M

Qwen/Qwen3.6-27B:196.61K

Claude Opus 4.7

Maximum output

Higher listed limit

Claude Opus 4.7:128K

Qwen/Qwen3.6-27B:65.54K

Claude Opus 4.7

Specifications

Pricing, limits and capabilities

Specifications for Claude Opus 4.7 and Qwen/Qwen3.6-27B. Higher limits and lower prices describe these figures only.
SpecificationClaude Opus 4.7Qwen/Qwen3.6-27B
ProviderAnthropicQwen
Listed pricing routeAnthropicQwen
Model familyclaude-opus—
Accepted inputstext, image, pdfimage, text
Produced outputstexttext
Context window1MHigher196.61K
Max output128KHigher65.54K
Input price / 1M$5.00—
Output price / 1M$25.00—
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedNot documented
LicenseProprietaryNot documented

Workload guidance

Which model should you choose?

Consider Claude Opus 4.7 if you need larger context or larger maximum output. Qwen/Qwen3.6-27B offers downloadable weights; Claude Opus 4.7 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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