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Model Comparison

Seed 1.6 Flash vs Command A+Which Is Better in 2026?

Seed 1.6 Flash vs Command A+: which should you choose in 2026?

Seed 1.6 Flash (by ByteDance) and Command A+ (by Cohere) 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.

At least one model uses context-dependent token-pricing tiers, so the published base rates do not support an unconditional blended price comparison.

Seed 1.6 Flash has the larger context window (262,144 tokens vs 192,000 tokens).

Choose Seed 1.6 Flash if…

  • you work with longer documents, transcripts, or codebases

Choose Command A+ 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.

vs

Performance benchmarks

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

Seed 1.6 Flash and Command A+ benchmark results
BenchmarkSeed 1.6 FlashCommand A+
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 1.6 Flash and Command A+ model facts
    FeatureSeed 1.6 FlashCommand A+
    Context & model facts
    DeveloperByteDanceCohere
    API providerByteDance SeedCohere
    Input context262,144 tokens192,000 tokens
    Maximum output32,768 tokens64,000 tokens
    Released
    Added to WritingmateDec 23, 2025Sep 22, 2026
    LicenseNot availableNot available
    Knowledge cutoff
    Capabilities
    InputsImage, Text, VideoText, Image
    OutputsTextText
    Provider endpoint accepts tool parametersYesYes
    ReasoningYesYes
    VisionYesYes
    Image GenerationNoNo
    Video GenerationNoNo
    API pricing
    Base input (per 1M tokens)$0.075$0.30
    Base output (per 1M tokens)$0.30$1.50
    Higher-context pricing tiers
    • 128,000 prompt tokens$0.10 input · $0.80 output per 1M
    Base rate only
    Price-comparison caveatAt least one model changes token rates above a prompt-token threshold. Base rates are shown, but an unconditional blended price ratio would not be like-for-like.
    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 22, 2026.

    Why Pay for Multiple Subscriptions?

    Comparing Seed 1.6 Flash from ByteDance with Command A+ from Cohere? Instead of managing separate API keys and subscriptions, get both with Writingmate.

    Subscription-plan access for Seed 1.6 Flash and Command A+
    PlanPriceSeed 1.6 FlashCommand A+AI 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 1.6 Flash vs Command A+ FAQ

    Which is better, Seed 1.6 Flash or Command A+?

    There are not enough shared, protocol-compatible benchmark results to declare a performance leader. At least one model uses context-dependent token-pricing tiers, so the published base rates do not support an unconditional blended price comparison. Seed 1.6 Flash has the larger context window (262,144 tokens vs 192,000 tokens).

    Which model is cheaper to use through an API?

    At least one model uses context-dependent token-pricing tiers, so the published base rates do not support an unconditional blended price comparison.

    Which model supports more context?

    Seed 1.6 Flash has the larger context window (262,144 tokens vs 192,000 tokens).

    Can I switch between Seed 1.6 Flash and Command A+?

    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.