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Model Comparison

Hy-MT2-30B-A3B vs Hy3 previewWhich Is Better in 2026?

Tencent: Hy-MT2-30B-A3B logoTencent•Tencent: Hy3 preview logoTencent

Hy-MT2-30B-A3B vs Hy3 preview: which should you choose in 2026?

Hy-MT2-30B-A3B (by Tencent) 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.

Hy-MT2-30B-A3B is about 2.2× cheaper on a blended 3:1 input/output basis ($0.12925 vs $0.285 per 1M tokens).

Hy3 preview has the larger context window (262,144 tokens vs 8,192 tokens).

Choose Hy-MT2-30B-A3B if…

  • • lower blended API cost matters for your workload

Choose Hy3 preview if…

  • • you work with longer documents, transcripts, or codebases
  • • you need a model with explicit reasoning support

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.

Hy-MT2-30B-A3B and Hy3 preview benchmark results
BenchmarkHy-MT2-30B-A3BHy3 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

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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

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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

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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

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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

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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

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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

    Hy-MT2-30B-A3B and Hy3 preview model facts
    FeatureHy-MT2-30B-A3BHy3 preview
    Context & model facts
    DeveloperTencentTencent
    API providerTencentTencent
    Input context8,192 tokens262,144 tokens
    Maximum output4,096 tokens—
    Released——
    Added to WritingmateAug 20, 2026Apr 22, 2026
    LicenseNot availableNot available
    Knowledge cutoff——
    Capabilities
    InputsTextText
    OutputsTextText
    Provider endpoint accepts tool parametersNoYes
    ReasoningNoYes
    VisionNoNo
    Image GenerationNoNo
    Video GenerationNoNo
    API pricing
    Input (per 1M tokens)$0.074$0.18
    Output (per 1M tokens)$0.295$0.60
    Blended 3:1 input/output$0.12925$0.285
    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 Aug 20, 2026.

    Hy-MT2-30B-A3B vs Hy3 preview FAQ

    Which is better, Hy-MT2-30B-A3B or Hy3 preview?

    There are not enough shared, protocol-compatible benchmark results to declare a performance leader. Hy-MT2-30B-A3B is about 2.2× cheaper on a blended 3:1 input/output basis ($0.12925 vs $0.285 per 1M tokens). Hy3 preview has the larger context window (262,144 tokens vs 8,192 tokens).

    Which model is cheaper to use through an API?

    Hy-MT2-30B-A3B is about 2.2× cheaper on a blended 3:1 input/output basis ($0.12925 vs $0.285 per 1M tokens).

    Which model supports more context?

    Hy3 preview has the larger context window (262,144 tokens vs 8,192 tokens).

    Can I switch between Hy-MT2-30B-A3B 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.