AI model comparison

Qwen/Qwen3.5-9B vs o3

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

Qwen/Qwen3.5-9B from Qwen lists 262.14K context, 262.14K maximum output, $0.04 input per 1M tokens, $0.15 output per 1M tokens. o3 from OpenAI lists 200K context, 100K maximum output, $2.00 input per 1M tokens, $8.00 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

Qwen

Qwen/Qwen3.5-9B

Qwen/Qwen3.5-9B is a source-linked Hugging Face repository assigned to Image-text-to-text. Its recorded task interface accepts image, text and produces text.

Context
262.14K
Max output
262.14K
Input / 1M tokens
$0.04
Output / 1M tokens
$0.15

Accepts

  • Image input
  • Text input

Produces

  • Text output
VS

OpenAI

o3

o3 from OpenAI: Deliberate o-series reasoner for hard math, coding, and multi-step analysis.

Context
200K
Max output
100K
Input / 1M tokens
$2.00
Output / 1M tokens
$8.00

Accepts

  • Text input
  • Image input
  • PDF 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/Qwen3.5-9B

  • Context capacity: 262.14K
  • Maximum output: 262.14K
  • Input price: $0.04
  • Output price: $0.15

Context capacity

Higher listed limit

Qwen/Qwen3.5-9B:262.14K

o3:200K

Qwen/Qwen3.5-9B

Maximum output

Higher listed limit

Qwen/Qwen3.5-9B:262.14K

o3:100K

Qwen/Qwen3.5-9B

Input price

Lower listed token rate

Qwen/Qwen3.5-9B:$0.04

o3:$2.00

Qwen/Qwen3.5-9B

Output price

Lower listed token rate

Qwen/Qwen3.5-9B:$0.15

o3:$8.00

Qwen/Qwen3.5-9B

Specifications

Pricing, limits and capabilities

Specifications for Qwen/Qwen3.5-9B and o3. Higher limits and lower prices describe these figures only.
SpecificationQwen/Qwen3.5-9Bo3
ProviderQwenOpenAI
Listed pricing routeQwenOpenAI
Model family—o
Accepted inputsimage, texttext, image, pdf
Produced outputstexttext
Context window262.14KHigher200K
Max output262.14KHigher100K
Input price / 1M$0.04Lower$2.00
Output price / 1M$0.15Lower$8.00
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseNot documentedProprietary

Workload guidance

Which model should you choose?

Consider Qwen/Qwen3.5-9B if you need larger context or larger maximum output or a lower listed input rate or a lower listed output rate. Qwen/Qwen3.5-9B offers downloadable weights; o3 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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