AI model comparison

Qwen Turbo vs GPT-Realtime-2.1

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. GPT-Realtime-2.1 from OpenAI lists 128K context, 32K maximum output, $4.00 input per 1M tokens, $24.00 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
VS

OpenAI

GPT-Realtime-2.1

GPT-Realtime-2.1 from OpenAI: Realtime speech-to-speech model with configurable reasoning, tool use, and robust voice-agent behavior.

Context
128K
Max output
32K
Input / 1M tokens
$4.00
Output / 1M tokens
$24.00

Accepts

  • Text input
  • Audio input
  • Image input

Produces

  • Text output
  • Audio output

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

GPT-Realtime-2.1

  • Maximum output: 32K

Context capacity

Higher listed limit

Qwen Turbo:1M

GPT-Realtime-2.1:128K

Qwen Turbo

Maximum output

Higher listed limit

Qwen Turbo:16.38K

GPT-Realtime-2.1:32K

GPT-Realtime-2.1

Input price

Lower listed token rate

Qwen Turbo:$0.05

GPT-Realtime-2.1:$4.00

Qwen Turbo

Output price

Lower listed token rate

Qwen Turbo:$0.20

GPT-Realtime-2.1:$24.00

Qwen Turbo

Specifications

Pricing, limits and capabilities

Specifications for Qwen Turbo and GPT-Realtime-2.1. Higher limits and lower prices describe these figures only.
SpecificationQwen TurboGPT-Realtime-2.1
ProviderAlibabaOpenAI
Listed pricing routeAlibabaOpenAI
Model familyqwengpt
Accepted inputstexttext, audio, image
Produced outputstexttext, audio
Context window1MHigher128K
Max output16.38K32KHigher
Input price / 1M$0.05Lower$4.00
Output price / 1M$0.20Lower$24.00
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputNot documentedDocumented
Audio inputNot documentedDocumented
Structured outputNot documentedNot documented
LicenseProprietaryProprietary

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 GPT-Realtime-2.1 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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