SSyncDev

AI model comparison

Qwen Turbo vs Step 3.7 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. Step 3.7 Flash from StepFun lists 256K context, 256K maximum output, $0.185 input per 1M tokens, $1.11 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

StepFun

Step 3.7 Flash

Step 3.7 Flash from StepFun: Newer StepFun flash model for faster agents, coding, and multimodal prompts.

Context
256K
Max output
256K
Input / 1M tokens
$0.185
Output / 1M tokens
$1.11

Accepts

  • Text input
  • Image input
  • Video 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

  • Context capacity: 1M
  • Input price: $0.05
  • Output price: $0.20

Step 3.7 Flash

  • Maximum output: 256K

Context capacity

Higher listed limit

Qwen Turbo:1M

Step 3.7 Flash:256K

Qwen Turbo

Maximum output

Higher listed limit

Qwen Turbo:16.38K

Step 3.7 Flash:256K

Step 3.7 Flash

Input price

Lower listed token rate

Qwen Turbo:$0.05

Step 3.7 Flash:$0.185

Qwen Turbo

Output price

Lower listed token rate

Qwen Turbo:$0.20

Step 3.7 Flash:$1.11

Qwen Turbo

Specifications

Pricing, limits and capabilities

Specifications for Qwen Turbo and Step 3.7 Flash. Higher limits and lower prices describe these figures only.
SpecificationQwen TurboStep 3.7 Flash
ProviderAlibabaStepFun
Listed pricing routeAlibabaStepFun
Model familyqwen—
Accepted inputstexttext, image, video
Produced outputstexttext
Context window1MHigher256K
Max output16.38K256KHigher
Input price / 1M$0.05Lower$0.185
Output price / 1M$0.20Lower$1.11
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputNot documentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedNot documented
LicenseProprietaryOpen weights

Workload guidance

Which model should you choose?

Consider Qwen Turbo if you need larger context or a lower listed input rate or a lower listed output rate. Consider Step 3.7 Flash if you need larger maximum output. Step 3.7 Flash offers downloadable weights; Qwen Turbo 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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