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Model Comparison

Qwen3.8 Omni Flash vs Space Bunny AlphaWhich Is Better in 2026?

Qwen: Qwen3.8 Omni Flash logoQwen•
Stealth

Qwen3.8 Omni Flash vs Space Bunny Alpha: which should you choose in 2026?

Qwen3.8 Omni Flash (by Qwen) and Space Bunny Alpha (by Stealth) 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.

Space Bunny Alpha has no token charge in the catalog; the other model costs $0.23 per 1M tokens on a blended 3:1 input/output basis.

Choose Qwen3.8 Omni Flash if…

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

Choose Space Bunny Alpha if…

  • • lower blended API cost matters for your workload

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.

Qwen3.8 Omni Flash and Space Bunny Alpha benchmark results
BenchmarkQwen3.8 Omni FlashSpace Bunny Alpha
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

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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

    Qwen3.8 Omni Flash and Space Bunny Alpha model facts
    FeatureQwen3.8 Omni FlashSpace Bunny Alpha
    Context & model facts
    DeveloperQwenStealth
    API providerQwenSpace Bunny Alpha
    Input context1,000,000 tokens1,000,000 tokens
    Maximum output131,072 tokens524,288 tokens
    Released——
    Added to WritingmateSep 21, 2026Sep 23, 2026
    LicenseNot availableNot available
    Knowledge cutoff——
    Capabilities
    InputsText, Image, Audio, VideoText, Image, Video
    OutputsTextText
    Provider endpoint accepts tool parametersYesYes
    ReasoningYesYes
    VisionYesYes
    Image GenerationNoNo
    Video GenerationNoNo
    API pricing
    Input (per 1M tokens)$0.15$0.00
    Output (per 1M tokens)$0.47$0.00
    Blended 3:1 input/output$0.23$0.00
    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 23, 2026.

    Why Pay for Multiple Subscriptions?

    Comparing Qwen3.8 Omni Flash from Qwen with Space Bunny Alpha from Stealth? Instead of managing separate API keys and subscriptions, get both with Writingmate.

    Subscription-plan access for Qwen3.8 Omni Flash and Space Bunny Alpha
    PlanPriceQwen3.8 Omni FlashSpace Bunny AlphaAI ImagesAI Video
    Writingmate Pro
    Most popular
    		$20/moIncludedIncludedNano 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
    View Plans & Pricing

    Qwen3.8 Omni Flash vs Space Bunny Alpha FAQ

    Which is better, Qwen3.8 Omni Flash or Space Bunny Alpha?

    There are not enough shared, protocol-compatible benchmark results to declare a performance leader. Space Bunny Alpha has no token charge in the catalog; the other model costs $0.23 per 1M tokens on a blended 3:1 input/output basis.

    Which model is cheaper to use through an API?

    Space Bunny Alpha has no token charge in the catalog; the other model costs $0.23 per 1M tokens on a blended 3:1 input/output basis.

    Which model supports more context?

    The published context windows are close enough that this page does not treat the difference as a material advantage.

    Can I switch between Qwen3.8 Omni Flash and Space Bunny Alpha?

    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.