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Model Comparison

Ling 3.0 Flash Fin vs Hy3Which Is Better in 2026?

inclusionAI•Tencent: Hy3 logoTencent

Ling 3.0 Flash Fin vs Hy3: which should you choose in 2026?

Ling 3.0 Flash Fin (by inclusionAI) and Hy3 (by Tencent) 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 Ling 3.0 Flash Fin if…

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

Choose Hy3 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.

Ling 3.0 Flash Fin and Hy3 benchmark results
BenchmarkLing 3.0 Flash FinHy3
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

——
Arena preference scores
Arena (Text)

Human preference score

—
1455 ±8
Arena (Code/WebDev)

Human preference score for code and web development

—
1511 ±11

Benchmark sources

Reviewed evidence last updated 2026-08-09. Arena data last refreshed Sep 4, 2026.

Pricing, capabilities, and model facts

Ling 3.0 Flash Fin and Hy3 model facts
FeatureLing 3.0 Flash FinHy3
Context & model facts
DeveloperinclusionAITencent
API providerinclusionAITencent
Input context262,144 tokens262,144 tokens
Maximum output235,929 tokens128,000 tokens
Released——
Added to WritingmateAug 27, 2026Jul 6, 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)$0.06$0.132
Base output (per 1M tokens)$0.18$0.528
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 27, 2026.

Why Pay for Multiple Subscriptions?

Comparing Ling 3.0 Flash Fin from inclusionAI with Hy3 from Tencent? Instead of managing separate API keys and subscriptions, get both with Writingmate.

Subscription-plan access for Ling 3.0 Flash Fin and Hy3
PlanPriceLing 3.0 Flash FinHy3AI 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

Ling 3.0 Flash Fin vs Hy3 FAQ

Which is better, Ling 3.0 Flash Fin or Hy3?

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 Ling 3.0 Flash Fin and Hy3?

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.