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Model Comparison

DeepSeek V4 Pro 0813 vs GLM 5.3Which Is Better in 2026?

DeepSeek: DeepSeek V4 Pro 0813 logoDeepSeek•
Z.AI

DeepSeek V4 Pro 0813 vs GLM 5.3: which should you choose in 2026?

DeepSeek V4 Pro 0813 (by DeepSeek) and GLM 5.3 (by Z.AI) 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.

Choose DeepSeek V4 Pro 0813 if…

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

Choose GLM 5.3 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.

DeepSeek V4 Pro 0813 and GLM 5.3 benchmark results
BenchmarkDeepSeek V4 Pro 0813GLM 5.3
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

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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

    DeepSeek V4 Pro 0813 and GLM 5.3 model facts
    FeatureDeepSeek V4 Pro 0813GLM 5.3
    Context & model facts
    DeveloperDeepSeekZ.AI
    API providerDeepSeekZ.ai
    Input context1,048,576 tokens1,048,576 tokens
    Maximum output384,000 tokens131,072 tokens
    Released——
    Added to WritingmateAug 12, 2026Aug 18, 2026
    LicenseNot availableNot available
    Knowledge cutoff——
    Capabilities
    InputsTextText
    OutputsTextText
    Provider endpoint accepts tool parametersYesYes
    ReasoningYesYes
    VisionNoNo
    Image GenerationNoNo
    Video GenerationNoNo
    API pricing
    Base input (per 1M tokens)$1.32$1.40
    Base output (per 1M tokens)$3.96$4.40
    Higher-context pricing tiersBase rate onlyBase 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 Aug 18, 2026.

    Why Pay for Multiple Subscriptions?

    Comparing DeepSeek V4 Pro 0813 from DeepSeek with GLM 5.3 from Z.AI? Instead of managing separate API keys and subscriptions, get both with Writingmate.

    Subscription-plan access for DeepSeek V4 Pro 0813 and GLM 5.3
    PlanPriceDeepSeek V4 Pro 0813GLM 5.3AI 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

    DeepSeek V4 Pro 0813 vs GLM 5.3 FAQ

    Which is better, DeepSeek V4 Pro 0813 or GLM 5.3?

    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.

    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?

    The published context windows are close enough that this page does not treat the difference as a material advantage.

    Can I switch between DeepSeek V4 Pro 0813 and GLM 5.3?

    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.