WritingmateWritingmate
Model Comparison

Seed 2.1 Turbo vs DeepSeek V3 0324Which Is Better in 2026?

ByteDance Seed: Seed 2.1 Turbo logoByteDance•DeepSeek: DeepSeek V3 0324 logoDeepSeek

Seed 2.1 Turbo vs DeepSeek V3 0324: which should you choose in 2026?

Seed 2.1 Turbo (by ByteDance) and DeepSeek V3 0324 (by DeepSeek) 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.

DeepSeek V3 0324 is about 2.3× cheaper on a blended 3:1 input/output basis ($0.4375 vs $1.00 per 1M tokens).

Seed 2.1 Turbo has the larger context window (262,144 tokens vs 163,840 tokens).

Choose Seed 2.1 Turbo if…

  • • you work with longer documents, transcripts, or codebases
  • • you need a model with explicit reasoning support
  • • you need image inputs

Choose DeepSeek V3 0324 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.

Chat with both models
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 2.1 Turbo and DeepSeek V3 0324 benchmark results
BenchmarkSeed 2.1 TurboDeepSeek V3 0324
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

—
60.0%
www.swebench.com
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 2025-12-28.

Pricing, capabilities, and model facts

Seed 2.1 Turbo and DeepSeek V3 0324 model facts
FeatureSeed 2.1 TurboDeepSeek V3 0324
Context & model facts
DeveloperByteDanceDeepSeek
API providerByteDance SeedDeepSeek
Input context262,144 tokens163,840 tokens
Maximum output262,144 tokens163,840 tokens
Released——
Added to WritingmateAug 12, 2026Mar 24, 2025
LicenseNot availableNot available
Knowledge cutoff—2024-07-31
Capabilities
InputsText, Image, VideoText
OutputsTextText
Provider endpoint accepts tool parametersYesYes
ReasoningYesNo
VisionYesNo
Image GenerationNoNo
Video GenerationNoNo
API pricing
Input (per 1M tokens)$0.50$0.25
Output (per 1M tokens)$2.50$1.00
Blended 3:1 input/output$1.00$0.4375
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 DeepSeek V3 0324 from DeepSeek? Instead of managing separate API keys and subscriptions, get both with Writingmate.

Subscription-plan access for Seed 2.1 Turbo and DeepSeek V3 0324
PlanPriceSeed 2.1 TurboDeepSeek V3 0324AI 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

Seed 2.1 Turbo vs DeepSeek V3 0324 FAQ

Which is better, Seed 2.1 Turbo or DeepSeek V3 0324?

There are not enough shared, protocol-compatible benchmark results to declare a performance leader. DeepSeek V3 0324 is about 2.3× cheaper on a blended 3:1 input/output basis ($0.4375 vs $1.00 per 1M tokens). Seed 2.1 Turbo has the larger context window (262,144 tokens vs 163,840 tokens).

Which model is cheaper to use through an API?

DeepSeek V3 0324 is about 2.3× cheaper on a blended 3:1 input/output basis ($0.4375 vs $1.00 per 1M tokens).

Which model supports more context?

Seed 2.1 Turbo has the larger context window (262,144 tokens vs 163,840 tokens).

Can I switch between Seed 2.1 Turbo and DeepSeek V3 0324?

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.