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Model Comparison

Fugu Ultra v2 vs Hy3 previewWhich Is Better in 2026?

Fugu Ultra v2 vs Hy3 preview: which should you choose in 2026?

Fugu Ultra v2 (by Sakana AI) and Hy3 preview (by Tencent) are compared below. Here is how they stack up on benchmarks, price, and capabilities, and which one to pick in 2026.

There are not enough shared, protocol-compatible benchmark results to declare a performance leader.

At least one model uses context-dependent token-pricing tiers, so the published base rates do not support an unconditional blended price comparison.

Fugu Ultra v2 has the larger context window (1,000,000 tokens vs 262,144 tokens).

Choose Fugu Ultra v2 if…

  • you work with longer documents, transcripts, or codebases
  • you need image inputs

Choose Hy3 preview if…

  • your own prompt tests favor its output; shared comparable evidence does not identify a unique advantage

The benchmark count includes only results measured with a matching benchmark version and protocol. Arena scores are shown separately. Missing, preliminary, and incompatible data is not treated as a controlled win. Published point-score comparisons are labeled separately when protocol details are incomplete. For text-output models, the verdict also compares token pricing and context windows.

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Performance benchmarks

Every value links to its source. A dash means that no reviewed result is available for that exact model and protocol.

Fugu Ultra v2 and Hy3 preview benchmark results
BenchmarkFugu Ultra v2Hy3 preview
AutomationBench-AA

A 657-task benchmark of multi-step work across simulated SaaS applications in six business domains. The Artificial Analysis protocol reports a guardrail-aware score and is distinct from both the public Zapier split and the unrelated dynamic AutoBench framework.

Guardrail-aware score

BrowseComp

A benchmark of difficult, verifiable information-seeking questions designed to measure an agent's ability to locate hard-to-find facts through web browsing.

Accuracy

OSWorld-Verified

A verified computer-use benchmark in which multimodal agents operate desktop applications and are graded from the resulting environment state.

Mean task reward

SWE-Bench Verified

A human-validated subset of real GitHub issues used to measure whether a coding agent can produce repository patches that resolve the associated tests.

Resolved

Terminal-Bench 2.1

Version 2.1 of the benchmark for completing realistic tasks in terminal environments. Harness, resource limits, and attempt count are part of the protocol.

Mean task success

AutoBench

A dynamic LLM evaluation framework in which models generate questions, answer them, and participate in reciprocal peer assessment. AutoBench is distinct from Zapier's AutomationBench.

Weighted peer-assessment score

GPQA Diamond

The highest-quality subset of Graduate-Level Google-Proof Q&A, designed to test expert-level scientific reasoning in biology, physics, and chemistry.

Accuracy

Humanity's Last Exam

A 2,500-question expert-level benchmark spanning dozens of academic fields. Tool-assisted and no-tools results are separate protocols and must not be merged.

Accuracy

Benchmark sources

    Reviewed evidence last updated 2026-08-09.

    Pricing, capabilities, and model facts

    Fugu Ultra v2 and Hy3 preview model facts
    FeatureFugu Ultra v2Hy3 preview
    Context & model facts
    DeveloperSakana AITencent
    API providerSakanaTencent
    Input context1,000,000 tokens262,144 tokens
    Maximum output128,000 tokens235,929 tokens
    Released
    Added to WritingmateSep 11, 2026Apr 22, 2026
    LicenseNot availableNot available
    Knowledge cutoff2026-08-28
    Capabilities
    InputsText, Image, FileText
    OutputsTextText
    Provider endpoint accepts tool parametersYesYes
    ReasoningYesYes
    VisionYesNo
    Image GenerationNoNo
    Video GenerationNoNo
    API pricing
    Base input (per 1M tokens)$5.00$0.18
    Base output (per 1M tokens)$30.00$0.60
    Higher-context pricing tiers
    • 272,000 prompt tokens$10.00 input · $45.00 output per 1M
    Base rate only
    Price-comparison caveatAt least one model changes token rates above a prompt-token threshold. Base rates are shown, but an unconditional blended price ratio would not be like-for-like.
    API performance
    p95 latencyNot measuredNot measured
    Output throughputNot measuredNot measured
    Writingmate shows API performance only when both models have enough observations from the same measurement window, prompt profile, and provider. Third-party latency values are not copied into this table.

    Data sources

    • Writingmate model catalog (pricing, limits, and availability)

    Catalog data last updated Sep 11, 2026.

    Why Pay for Multiple Subscriptions?

    Comparing Fugu Ultra v2 from Sakana AI with Hy3 preview from Tencent? Instead of managing separate API keys and subscriptions, get both with Writingmate.

    Subscription-plan access for Fugu Ultra v2 and Hy3 preview
    PlanPriceFugu Ultra v2Hy3 previewAI ImagesAI Video
    Writingmate Pro
    Most popular
    $20/moUltimate requiredIncludedNano Banana Pro, FLUX.2, DALL-E & moreSora 2, VEO 3.1
    Writingmate Ultimate
    Power users
    $60/moIncludedIncludedNano Banana Pro, FLUX.2, DALL-E & moreSora 2, VEO 3.1

    Fugu Ultra v2 vs Hy3 preview FAQ

    Which is better, Fugu Ultra v2 or Hy3 preview?

    There are not enough shared, protocol-compatible benchmark results to declare a performance leader. At least one model uses context-dependent token-pricing tiers, so the published base rates do not support an unconditional blended price comparison. Fugu Ultra v2 has the larger context window (1,000,000 tokens vs 262,144 tokens).

    Which model is cheaper to use through an API?

    At least one model uses context-dependent token-pricing tiers, so the published base rates do not support an unconditional blended price comparison.

    Which model supports more context?

    Fugu Ultra v2 has the larger context window (1,000,000 tokens vs 262,144 tokens).

    Can I switch between Fugu Ultra v2 and Hy3 preview?

    Yes. Use the model selector on this page to open any current Writingmate model comparison. You can also run the same prompt with both models in Writingmate.