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BenchLM
DeepSeek logo
Model A
DeepSeek V3

DeepSeek

44.57/100

Supported · Public rank #174

90% interval 25.5–63.7

DeepSeek V3 vs Hy4 preview

Updated August 28, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Tencent logo
Model B
Hy4 preview

Tencent

79.16/100

Estimated · Public rank #7

90% interval 69.3–89.0

Decision reading

Hy4 preview has the higher public score, 79.16 versus 44.57, and the 90% score intervals do not overlap.

1 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

  • Long documents

    Prompts that approach the documented context limit

    Hy4 preview

    Hy4 preview has the larger documented context window.

    Confidence: documented

Show secondary and unsupported calls

  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Chat turn cost

    1K fresh input + 500 output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Not enough matched evidence

    The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. DeepSeek V3 does not fit this workload in one request. Hy4 preview has no comparable published API token rate.

    Confidence: listed-rates

  • Repository review cost

    50K fresh input + 3K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

Shared results
1
DeepSeek V3 only
5
Hy4 preview only
27
Like-for-like categories
0 / 8

1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.

Knowledge

Directional only
DeepSeek V3
72.7
Hy4 preview
60.4
Weighted basis
2 vs 2 rows
Reading
Directional only

Agentic

Not comparable
DeepSeek V3
Not measured
Hy4 preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Coding

Not comparable
DeepSeek V3
38.9
Hy4 preview
65.7
Weighted basis
2 vs 1 rows
Reading
Not comparable

Reasoning

Not comparable
DeepSeek V3
Not measured
Hy4 preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Math

Not comparable
DeepSeek V3
1.7
Hy4 preview
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
DeepSeek V3
Not measured
Hy4 preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
DeepSeek V3
Not measured
Hy4 preview
66.2
Weighted basis
0 vs 1 rows
Reading
Not comparable

Instruction following

Not comparable
DeepSeek V3
86.1
Hy4 preview
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

DeepSeek V3
$0.00082
Fits in one request
Hy4 preview
Self-hosted; infrastructure cost varies
Fits in one request

Hy4 preview has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

DeepSeek V3
$0.0168
Fits in one request
Hy4 preview
Self-hosted; infrastructure cost varies
Fits in one request

Hy4 preview has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

DeepSeek V3
$0.0304
Does not fit in one request
Hy4 preview
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable

DeepSeek V3 does not fit this workload in one request. Hy4 preview has no comparable published API token rate.

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

DeepSeek V3

$0.07 per 1M cached input tokens

Hy4 preview

No comparable hosted API rate

Tencent Hy4 preview model card

Documented inputs

DeepSeek V3

Not sourced

Hy4 preview

Not sourced

Documented outputs

DeepSeek V3

Not sourced

Hy4 preview

Not sourced

Provider availability

DeepSeek V3

Not sourced

Hy4 preview

Not sourced

Reasoning profile

DeepSeek V3

Non-Reasoning

Hy4 preview

Reasoning

Weight access

DeepSeek V3

Open Weight

Hy4 preview

Open Weight

License

DeepSeek V3

Open Weight

Hy4 preview

Open Weight

Release date

DeepSeek V3

2024-12-26

Hy4 preview

2026-08-28

If you already use one of these models
Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
Hy4 preview has the higher public score, 79.16 versus 44.57, and the 90% score intervals do not overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Hy4 preview has the larger documented window (1M).

Run the same representative tasks against both endpoints before changing production traffic.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

DeepSeek V3
API / mo$1,028
Self-host / mo$18,221
Break-even1.2B/day
Hy4 preview
API / mo$0
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Model the full break-even

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence33 rows

Agentic

  • Terminal-Bench 2.1

    DeepSeek V3—
    Hy4 preview85.4%
    Source

    Not directly comparable

  • CyberGym

    DeepSeek V3—
    Hy4 preview78.4%
    Source

    Not directly comparable

  • WideResearch

    DeepSeek V3—
    Hy4 preview83.9%
    Source

    Not directly comparable

  • DRACO

    DeepSeek V3—
    Hy4 preview77.2%
    Source

    Not directly comparable

  • MCP Atlas

    DeepSeek V3—
    Hy4 preview83.7%
    Source

    Not directly comparable

  • Toolathlon-Verified

    DeepSeek V3—
    Hy4 preview74.1%
    Source

    Not directly comparable

  • APEX-Agents

    DeepSeek V3—
    Hy4 preview37.1%
    Source

    Not directly comparable

  • skillsBench

    DeepSeek V3—
    Hy4 preview62.9%
    Source

    Not directly comparable

  • JobBench

    DeepSeek V3—
    Hy4 preview61.7%
    Source

    Not directly comparable

  • Agents' Last Exam

    DeepSeek V3—
    Hy4 preview22.8%
    Source

    Not directly comparable

  • AutomationBench

    DeepSeek V3—
    Hy4 preview32.1%
    Source

    Not directly comparable

  • BankerToolBench

    DeepSeek V3—
    Hy4 preview78.6%
    Source

    Not directly comparable

  • HLE w/ tools

    DeepSeek V3—
    Hy4 preview55.4%
    Source

    Not directly comparable

Coding

  • LiveCodeBench

    DeepSeek V337.6%
    Source
    Hy4 preview—

    Not directly comparable

  • SWE-bench Verified

    DeepSeek V342%
    Source
    Hy4 preview—

    Not directly comparable

  • Terminal-Bench 2.1

    DeepSeek V3—
    Hy4 preview85.4%
    Source

    Not directly comparable

  • SWE-bench Pro

    DeepSeek V3—
    Hy4 preview65.7%
    Source

    Not directly comparable

  • SWE Multilingual

    DeepSeek V3—
    Hy4 preview82.9%
    Source

    Not directly comparable

  • deepSwe

    DeepSeek V3—
    Hy4 preview64.3%
    Source

    Not directly comparable

  • NL2Repo

    DeepSeek V3—
    Hy4 preview58.9%
    Source

    Not directly comparable

  • ProgramBench

    DeepSeek V3—
    Hy4 preview17.5%
    Source

    Not directly comparable

  • PostTrain Bench

    DeepSeek V3—
    Hy4 preview35.6%
    Source

    Not directly comparable

  • sweMarathon

    DeepSeek V3—
    Hy4 preview31.9%
    Source

    Not directly comparable

Reasoning

  • CritPt

    DeepSeek V3—
    Hy4 preview16.9%
    Source

    Not directly comparable

Knowledge

  • GPQA

    DeepSeek V359.1%
    Source
    Hy4 preview92.3%
    Source

    Hy4 preview leads this result

  • MMLU-Pro

    DeepSeek V375.9%
    Source
    Hy4 preview—

    Not directly comparable

  • GPQA-D

    DeepSeek V3—
    Hy4 preview92.3%
    Source

    Not directly comparable

  • HLE

    DeepSeek V3—
    Hy4 preview55.4%
    Source

    Not directly comparable

  • HLE w/o tools

    DeepSeek V3—
    Hy4 preview43.4%
    Source

    Not directly comparable

Math

  • FrontierMath v2 (Tiers 1-3)

    DeepSeek V31.724%
    Source
    Hy4 preview—

    Not directly comparable

  • Apex

    DeepSeek V3—
    Hy4 preview74.2%
    Source

    Not directly comparable

Multimodal

  • OfficeQA Pro

    DeepSeek V3—
    Hy4 preview66.2%
    Source

    Not directly comparable

Instruction following

  • IFEval

    DeepSeek V386.1%
    Source
    Hy4 preview—

    Not directly comparable

Frequently asked questions

Which is better, DeepSeek V3 or Hy4 preview?

Hy4 preview has the higher public score, 79.16 versus 44.57, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.

Which is better for coding, DeepSeek V3 or Hy4 preview?

The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.

Which is better for agentic tasks, DeepSeek V3 or Hy4 preview?

The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.

Which costs less, DeepSeek V3 or Hy4 preview?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, DeepSeek V3 or Hy4 preview?

Hy4 preview has the larger documented context window: 1M, compared with 128K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 28, 2026

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