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Model Comparison

Gemini Omni 1.2 Flash vs Muse Spark OpenWhich Is Better in 2026?

Google: Gemini Omni 1.2 Flash logoGoogle•Meta: Muse Spark Open logoMeta

Gemini Omni 1.2 Flash vs Muse Spark Open: which should you choose in 2026?

Gemini Omni 1.2 Flash (by Google) and Muse Spark Open (by Meta) 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.

Choose Gemini Omni 1.2 Flash if…

  • • you need video generation

Choose Muse Spark Open 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.

Gemini Omni 1.2 Flash and Muse Spark Open benchmark results
BenchmarkGemini Omni 1.2 FlashMuse Spark Open
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

    Gemini Omni 1.2 Flash and Muse Spark Open model facts
    FeatureGemini Omni 1.2 FlashMuse Spark Open
    Context & model facts
    DeveloperGoogleMeta
    API providerGoogleMeta
    Input context131,072 tokens1,048,576 tokens
    Maximum output65,536 tokens943,718 tokens
    Released——
    Added to WritingmateNov 5, 2026Oct 15, 2026
    LicenseNot availableNot available
    Knowledge cutoff——
    Capabilities
    InputsText, Image, VideoText, Image, Video, File, Audio
    OutputsText, VideoText
    Provider endpoint accepts tool parametersNoYes
    ReasoningYesYes
    VisionYesYes
    Image GenerationNoNo
    Video GenerationYesNo
    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 Nov 5, 2026.

    Why Pay for Multiple Subscriptions?

    Comparing Gemini Omni 1.2 Flash from Google with Muse Spark Open from Meta? Instead of managing separate API keys and subscriptions, get both with Writingmate.

    Subscription-plan access for Gemini Omni 1.2 Flash and Muse Spark Open
    PlanPriceGemini Omni 1.2 FlashMuse Spark OpenAI ImagesAI Video
    Writingmate Pro
    Most popular
    		$20/moIncludedIncludedNano Banana Pro, FLUX.2, DALL-E & moreVEO 3.1, Kling 3.0
    Writingmate Ultimate
    Power users
    		$60/moIncludedIncludedNano Banana Pro, FLUX.2, DALL-E & moreVEO 3.1, Kling 3.0
    View Plans & Pricing

    Gemini Omni 1.2 Flash vs Muse Spark Open FAQ

    Which is better, Gemini Omni 1.2 Flash or Muse Spark Open?

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

    Which model is cheaper to use through an API?

    A comparable blended token price is not available for both models. Check the API pricing rows for the values that are currently published.

    Which model supports more context?

    Comparable context-window data is not available for both models.

    Can I switch between Gemini Omni 1.2 Flash and Muse Spark Open?

    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.