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AI model comparison

Qwen Turbo vs Gemini 2.0 Flash

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

Qwen Turbo from Alibaba lists 1M context, 16.38K maximum output, $0.05 input per 1M tokens, $0.20 output per 1M tokens. Gemini 2.0 Flash from Google lists 1.05M context, 8.19K maximum output, $0.10 input per 1M tokens, $0.40 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

Qwen Turbo

Qwen Turbo from Alibaba: Efficient Qwen model for fast chat, extraction, and high-volume workloads.

Context
1M
Max output
16.38K
Input / 1M tokens
$0.05
Output / 1M tokens
$0.20

Accepts

  • Text input

Produces

  • Text output
Full model profiledocs.qwencloud.com ↗
VS

Google

Gemini 2.0 Flash

Gemini 2.0 Flash from Google: Earlier Gemini Flash workhorse for responsive multimodal apps and tool use.

Context
1.05M
Max output
8.19K
Input / 1M tokens
$0.10
Output / 1M tokens
$0.40

Accepts

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

Produces

  • Text output
Full model profilegithub.com ↗

At a glance

Key differences

Compare the available figures below, then try both models on the work you need to do.

Qwen Turbo

  • Maximum output: 16.38K
  • Input price: $0.05
  • Output price: $0.20

Gemini 2.0 Flash

  • Context capacity: 1.05M

Context capacity

Higher listed limit

Qwen Turbo:1M

Gemini 2.0 Flash:1.05M

Gemini 2.0 Flash

Maximum output

Higher listed limit

Qwen Turbo:16.38K

Gemini 2.0 Flash:8.19K

Qwen Turbo

Input price

Lower listed token rate

Qwen Turbo:$0.05

Gemini 2.0 Flash:$0.10

Qwen Turbo

Output price

Lower listed token rate

Qwen Turbo:$0.20

Gemini 2.0 Flash:$0.40

Qwen Turbo

Specifications

Pricing, limits and capabilities

Specifications for Qwen Turbo and Gemini 2.0 Flash. Higher limits and lower prices describe these figures only.
SpecificationQwen TurboGemini 2.0 Flash
ProviderAlibabaGoogle
Listed pricing routeAlibabaGoogle
Model familyqwengemini-flash
Accepted inputstexttext, image, audio, video, pdf
Produced outputstexttext
Context window1M1.05MHigher
Max output16.38KHigher8.19K
Input price / 1M$0.05Lower$0.10
Output price / 1M$0.20Lower$0.40
Reasoning modeDocumentedNot documented
Tool callingDocumentedDocumented
Image inputNot documentedDocumented
Audio inputNot documentedDocumented
Structured outputNot documentedDocumented
LicenseProprietaryProprietary

Workload guidance

Which model should you choose?

Consider Qwen Turbo if you need larger maximum output or a lower listed input rate or a lower listed output rate. Consider Gemini 2.0 Flash if you need larger context. 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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