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Model Comparison

Seed 2.1 Turbo vs Qwen3 VL 8B InstructWhich Is Better in 2026?

Seed 2.1 Turbo vs Qwen3 VL 8B Instruct: which should you choose in 2026?

Seed 2.1 Turbo (by ByteDance) and Qwen3 VL 8B Instruct (by Qwen) 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.

Qwen3 VL 8B Instruct is about 5.0× cheaper on a blended 3:1 input/output basis ($0.2015 vs $1.00 per 1M tokens).

Choose Seed 2.1 Turbo if…

  • you need a model with explicit reasoning support

Choose Qwen3 VL 8B Instruct 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.

Seed 2.1 Turbo and Qwen3 VL 8B Instruct benchmark results
BenchmarkSeed 2.1 TurboQwen3 VL 8B Instruct
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

    Seed 2.1 Turbo and Qwen3 VL 8B Instruct model facts
    FeatureSeed 2.1 TurboQwen3 VL 8B Instruct
    Context & model facts
    DeveloperByteDanceQwen
    API providerByteDance SeedQwen
    Input context262,144 tokens262,144 tokens
    Maximum output262,144 tokens32,768 tokens
    Released
    Added to WritingmateAug 12, 2026Oct 14, 2025
    LicenseNot availableNot available
    Knowledge cutoff
    Capabilities
    InputsText, Image, VideoImage, Text
    OutputsTextText
    Provider endpoint accepts tool parametersYesYes
    ReasoningYesNo
    VisionYesYes
    Image GenerationNoNo
    Video GenerationNoNo
    API pricing
    Input (per 1M tokens)$0.50$0.117
    Output (per 1M tokens)$2.50$0.455
    Blended 3:1 input/output$1.00$0.2015
    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 12, 2026.

    Why Pay for Multiple Subscriptions?

    Comparing Seed 2.1 Turbo from ByteDance with Qwen3 VL 8B Instruct from Qwen? Instead of managing separate API keys and subscriptions, get both with Writingmate.

    Subscription-plan access for Seed 2.1 Turbo and Qwen3 VL 8B Instruct
    PlanPriceSeed 2.1 TurboQwen3 VL 8B InstructAI 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

    Seed 2.1 Turbo vs Qwen3 VL 8B Instruct FAQ

    Which is better, Seed 2.1 Turbo or Qwen3 VL 8B Instruct?

    There are not enough shared, protocol-compatible benchmark results to declare a performance leader. Qwen3 VL 8B Instruct is about 5.0× cheaper on a blended 3:1 input/output basis ($0.2015 vs $1.00 per 1M tokens).

    Which model is cheaper to use through an API?

    Qwen3 VL 8B Instruct is about 5.0× cheaper on a blended 3:1 input/output basis ($0.2015 vs $1.00 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 Seed 2.1 Turbo and Qwen3 VL 8B Instruct?

    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.