WritingmateWritingmate
Model Comparison

Gemini 3.1 Flash Lite vs MiMo-V2.5Which Is Better in 2026?

Gemini 3.1 Flash Lite vs MiMo-V2.5: which should you choose in 2026?

Gemini 3.1 Flash Lite (by Google) and MiMo-V2.5 (by Xiaomi) 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.

MiMo-V2.5 is about 3.2× cheaper on a blended 3:1 input/output basis ($0.18 vs $0.56 per 1M tokens).

Choose Gemini 3.1 Flash Lite if…

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

Choose MiMo-V2.5 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.

vs

Performance benchmarks

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

Gemini 3.1 Flash Lite and MiMo-V2.5 benchmark results
BenchmarkGemini 3.1 Flash LiteMiMo-V2.5
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

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

    Gemini 3.1 Flash Lite and MiMo-V2.5 model facts
    FeatureGemini 3.1 Flash LiteMiMo-V2.5
    Context & model facts
    DeveloperGoogleXiaomi
    API providerGoogleXiaomi
    Input context1,048,576 tokens1,050,000 tokens
    Maximum output65,536 tokens131,072 tokens
    Released
    Added to WritingmateMay 7, 2026Apr 22, 2026
    License
    Knowledge cutoff
    Capabilities
    InputsText, Image, Video, File, AudioText, Audio, Image, Video
    OutputsTextText
    Tool useYesYes
    ReasoningYesYes
    VisionYesYes
    Image GenerationNoNo
    Video GenerationNoNo
    API pricing
    Input (per 1M tokens)$0.25$0.14
    Output (per 1M tokens)$1.50$0.28
    Blended 3:1 input/output$0.56$0.18
    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 May 7, 2026.

    Why Pay for Multiple Subscriptions?

    Comparing Gemini 3.1 Flash Lite from Google with MiMo-V2.5 from Xiaomi? Instead of managing separate API keys and subscriptions, get both with Writingmate.

    Subscription-plan access for Gemini 3.1 Flash Lite and MiMo-V2.5
    PlanPriceGemini 3.1 Flash LiteMiMo-V2.5AI 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

    Gemini 3.1 Flash Lite vs MiMo-V2.5 FAQ

    Which is better, Gemini 3.1 Flash Lite or MiMo-V2.5?

    There are not enough shared, protocol-compatible benchmark results to declare a performance leader. MiMo-V2.5 is about 3.2× cheaper on a blended 3:1 input/output basis ($0.18 vs $0.56 per 1M tokens).

    Which model is cheaper to use through an API?

    MiMo-V2.5 is about 3.2× cheaper on a blended 3:1 input/output basis ($0.18 vs $0.56 per 1M tokens).

    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 Gemini 3.1 Flash Lite and MiMo-V2.5?

    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.