AI model comparison

Kimi K3 vs Fugu Ultra

Compare recorded price, context, output limits, speed, latency, capabilities, and input/output support. Every missing value stays visible, and unsourced benchmarks are excluded.

Kimi K3 and Fugu Ultra both come up when teams are choosing a model for production work, and the honest answer usually depends on your workload rather than a leaderboard. This page puts their published specifications side by side — context window, token pricing, supported inputs and outputs — so you can see where they actually differ.

Side-by-sideReviewed by our team

Moonshot AI

Kimi K3

Moonshot's frontier model — 2.8 trillion parameters, a million-token window, and thinking effort you can dial up when the task deserves it.

Context
1.0M
Max output
131.1K
Input / 1M
$3.00
Output / 1M
$15.00
Output speed

Accepts

  • Text input
  • Image input
  • Video input

Produces

  • Text output
VS

Sakana AI

Fugu Ultra

Quality-first multi-agent model for hard research, analysis, and competitions

Context
1M
Max output
1M
Input / 1M
$5.00
Output / 1M
$30.00
Output speed

Accepts

  • Text input
  • Image input

Produces

  • Text output

At a glance

Decision snapshot

This is a directional summary of the values recorded in this directory—not a universal quality verdict. Test the finalists on your own prompts before committing.

Where Kimi K3 leads in recorded data

  • Context capacity: 1.0M
  • Input price: $3.00
  • Output price: $15.00

Where Fugu Ultra leads in recorded data

  • Maximum output: 1M

Context capacity

Higher listed limit

Kimi K3:1.0M

Fugu Ultra:1M

Kimi K3

Maximum output

Higher listed limit

Kimi K3:131.1K

Fugu Ultra:1M

Fugu Ultra

Input price

Lower recorded price

Kimi K3:$3.00

Fugu Ultra:$5.00

Kimi K3

Output price

Lower recorded price

Kimi K3:$15.00

Fugu Ultra:$30.00

Kimi K3

Output speed

Higher recorded throughput

Kimi K3:

Fugu Ultra:

No complete comparison

Time to first token

Lower recorded latency

Kimi K3:

Fugu Ultra:

No complete comparison

Intelligence Index

Higher directory index

Kimi K3:

Fugu Ultra:

No complete comparison

Evidence

Verified shared benchmarks

A score appears only when both records include a verified source. It is not treated as a universal ranking.

These two models haven't been measured on the same benchmark yet, so there's nothing meaningful to chart. Comparing scores from different tests would tell you more about the tests than the models — the specs and pricing above are the better guide here.

Specifications

Pricing, limits and capabilities

SpecificationKimi K3Fugu Ultra
ProviderMoonshot AISakana AI
Model familykimi-k3fugu
Accepted inputstext, image, videotext, image
Produced outputstexttext
Context window1.0MRecorded lead1M
Max output131.1K1MRecorded lead
Intelligence Index
Input price / 1M$3.00Recorded lead$5.00
Output price / 1M$15.00Recorded lead$30.00
Output speed
Time to first token
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputDocumentedDocumented
LicenseOpen weightsProprietary
ReleasedJul 16, 2026Jun 15, 2026

Workload guidance

Which model should you choose?

On the published numbers, Kimi K3 accepts the larger context window and Kimi K3 is cheaper per input token. Which matters more depends on whether your bottleneck is document size or spend — the table above has the exact figures.

Provenance

Sources and data limits

Prices and hosted performance can change. SyncDev records source references and clearly separates documented specifications from measured values; confirm commercial terms with the provider before deployment.

Questions people ask

It compares recorded context and output limits, token prices, output speed, time to first token, Intelligence Index, modality support, tool and structured-output capabilities, release information, and only source-linked benchmarks verified on both records. Missing information is labeled rather than inferred.

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Choose any two approved model records and review them with the same evidence rules.

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