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Model Comparison

Olmo 3 32B Think vs Seed 2.1 TurboWhich Is Better in 2026?

AllenAI•ByteDance Seed: Seed 2.1 Turbo logoByteDance

Olmo 3 32B Think vs Seed 2.1 Turbo: which should you choose in 2026?

Olmo 3 32B Think (by AllenAI) and Seed 2.1 Turbo (by ByteDance) 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.

Olmo 3 32B Think is about 4.2× cheaper on a blended 3:1 input/output basis ($0.2375 vs $1.00 per 1M tokens).

Seed 2.1 Turbo has the larger context window (262,144 tokens vs 65,536 tokens).

Choose Olmo 3 32B Think if…

  • • lower blended API cost matters for your workload

Choose Seed 2.1 Turbo if…

  • • you work with longer documents, transcripts, or codebases
  • • you need image inputs

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.

Olmo 3 32B Think and Seed 2.1 Turbo benchmark results
BenchmarkOlmo 3 32B ThinkSeed 2.1 Turbo
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

——
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

    Olmo 3 32B Think and Seed 2.1 Turbo model facts
    FeatureOlmo 3 32B ThinkSeed 2.1 Turbo
    Context & model facts
    DeveloperAllenAIByteDance
    API providerAllenAIByteDance Seed
    Input context65,536 tokens262,144 tokens
    Maximum output65,536 tokens262,144 tokens
    Released——
    Added to WritingmateNov 21, 2025Aug 12, 2026
    LicenseNot availableNot available
    Knowledge cutoff——
    Capabilities
    InputsTextText, Image, Video
    OutputsTextText
    Provider endpoint accepts tool parametersNoYes
    ReasoningYesYes
    VisionNoYes
    Image GenerationNoNo
    Video GenerationNoNo
    API pricing
    Input (per 1M tokens)$0.15$0.50
    Output (per 1M tokens)$0.50$2.50
    Blended 3:1 input/output$0.2375$1.00
    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 Aug 12, 2026.

    Why Pay for Multiple Subscriptions?

    Comparing Olmo 3 32B Think from AllenAI with Seed 2.1 Turbo from ByteDance? Instead of managing separate API keys and subscriptions, get both with Writingmate.

    Subscription-plan access for Olmo 3 32B Think and Seed 2.1 Turbo
    PlanPriceOlmo 3 32B ThinkSeed 2.1 TurboAI 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

    Olmo 3 32B Think vs Seed 2.1 Turbo FAQ

    Which is better, Olmo 3 32B Think or Seed 2.1 Turbo?

    There are not enough shared, protocol-compatible benchmark results to declare a performance leader. Olmo 3 32B Think is about 4.2× cheaper on a blended 3:1 input/output basis ($0.2375 vs $1.00 per 1M tokens). Seed 2.1 Turbo has the larger context window (262,144 tokens vs 65,536 tokens).

    Which model is cheaper to use through an API?

    Olmo 3 32B Think is about 4.2× cheaper on a blended 3:1 input/output basis ($0.2375 vs $1.00 per 1M tokens).

    Which model supports more context?

    Seed 2.1 Turbo has the larger context window (262,144 tokens vs 65,536 tokens).

    Can I switch between Olmo 3 32B Think and Seed 2.1 Turbo?

    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.