AI model comparison

Qwen3.5 Plus vs Fugu Ultra

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

Qwen3.5 Plus from Alibaba lists 1M context, 65.54K maximum output, $0.40 input per 1M tokens, $2.40 output per 1M tokens. Fugu Ultra from Sakana AI lists 1M context, $5.00 input per 1M tokens, $30.00 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

Qwen3.5 Plus

Qwen3.5 Plus from Alibaba: Qwen vision-language model for visual reasoning, documents, and agent tasks.

Context
1M
Max output
65.54K
Input / 1M tokens
$0.40
Output / 1M tokens
$2.40

Accepts

  • Text input
  • Image input
  • Video input

Produces

  • Text output
VS

Sakana AI

Fugu Ultra

Fugu Ultra from Sakana AI: Quality-first multi-agent model for hard research, analysis, and competitions.

Context
1M
Input / 1M tokens
$5.00
Output / 1M tokens
$30.00

Accepts

  • Text input
  • Image 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.

Qwen3.5 Plus

  • Input price: $0.40
  • Output price: $2.40

Context capacity

Higher listed limit

Qwen3.5 Plus:1M

Fugu Ultra:1M

Same value

Input price

Lower listed token rate

Qwen3.5 Plus:$0.40

Fugu Ultra:$5.00

Qwen3.5 Plus

Output price

Lower listed token rate

Qwen3.5 Plus:$2.40

Fugu Ultra:$30.00

Qwen3.5 Plus

Specifications

Pricing, limits and capabilities

Specifications for Qwen3.5 Plus and Fugu Ultra. Higher limits and lower prices describe these figures only.
SpecificationQwen3.5 PlusFugu Ultra
ProviderAlibabaSakana AI
Listed pricing routeAlibabaSakana AI
Model familyqwenfugu
Accepted inputstext, image, videotext, image
Produced outputstexttext
Context window1M1M
Max output65.54K—
Input price / 1M$0.40Lower$5.00
Output price / 1M$2.40Lower$30.00
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseProprietaryProprietary

Workload guidance

Which model should you choose?

Consider Qwen3.5 Plus 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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