AI model comparison

Qwen/Qwen3-14B vs Qwen/Qwen3-8B

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

Qwen/Qwen3-14B from Qwen lists 131.07K context, 8.19K maximum output, $0.35 input per 1M tokens, $1.40 output per 1M tokens. Qwen/Qwen3-8B from Qwen lists 131.07K context, 8.19K maximum output, $0.18 input per 1M tokens, $0.70 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences
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Qwen

Qwen/Qwen3-8B

Qwen/Qwen3-8B is a source-linked Hugging Face repository assigned to Text generation. Its recorded task interface accepts text and produces text.

Context
131.07K
Max output
8.19K
Input / 1M tokens
$0.18
Output / 1M tokens
$0.70

Accepts

  • 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.

Qwen/Qwen3-8B

  • Input price: $0.18
  • Output price: $0.70

Context capacity

Higher listed limit

Qwen/Qwen3-14B:131.07K

Qwen/Qwen3-8B:131.07K

Same value

Maximum output

Higher listed limit

Qwen/Qwen3-14B:8.19K

Qwen/Qwen3-8B:8.19K

Same value

Input price

Lower listed token rate

Qwen/Qwen3-14B:$0.35

Qwen/Qwen3-8B:$0.18

Qwen/Qwen3-8B

Output price

Lower listed token rate

Qwen/Qwen3-14B:$1.40

Qwen/Qwen3-8B:$0.70

Qwen/Qwen3-8B

Specifications

Pricing, limits and capabilities

Specifications for Qwen/Qwen3-14B and Qwen/Qwen3-8B. Higher limits and lower prices describe these figures only.
SpecificationQwen/Qwen3-14BQwen/Qwen3-8B
ProviderQwenQwen
Listed pricing routeQwenQwen
Model family——
Accepted inputstexttext
Produced outputstexttext
Context window131.07K131.07K
Max output8.19K8.19K
Input price / 1M$0.35$0.18Lower
Output price / 1M$1.40$0.70Lower
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputNot documentedNot documented
Audio inputNot documentedNot documented
Structured outputNot documentedNot documented
LicenseNot documentedNot documented

Workload guidance

Which model should you choose?

Consider Qwen/Qwen3-8B if you need a lower listed input rate or a lower listed output rate. 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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