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BenchLM
Tencent logo
Model A
Hy4 preview

Tencent

79.16/100

Estimated · Public rank #7

90% interval 69.3–89.0

Hy4 preview vs Ornith-1.0-9B

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

Model B
Ornith-1.0-9B

DeepReinforce AI

—

Evidence status unavailable

90% interval unavailable

Decision reading

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.

3 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

    The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.

    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

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

    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
3
Hy4 preview only
25
Ornith-1.0-9B only
4
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.

Coding

Directional only
Hy4 preview
65.7
Ornith-1.0-9B
59.2
Weighted basis
1 vs 2 rows
Reading
Directional only

Agentic

Not comparable
Hy4 preview
Not measured
Ornith-1.0-9B
43.1
Weighted basis
0 vs 1 rows
Reading
Not comparable

Reasoning

Not comparable
Hy4 preview
Not measured
Ornith-1.0-9B
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
Hy4 preview
60.4
Ornith-1.0-9B
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Math

Not comparable
Hy4 preview
Not measured
Ornith-1.0-9B
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
Hy4 preview
Not measured
Ornith-1.0-9B
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Hy4 preview
66.2
Ornith-1.0-9B
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Instruction following

Not comparable
Hy4 preview
Not measured
Ornith-1.0-9B
Not measured
Weighted basis
0 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

Hy4 preview
Self-hosted; infrastructure cost varies
Fits in one request
Ornith-1.0-9B
Self-hosted; infrastructure cost varies
Fits in one request

Hy4 preview has no comparable published API token rate. Ornith-1.0-9B has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Hy4 preview
Self-hosted; infrastructure cost varies
Fits in one request
Ornith-1.0-9B
Self-hosted; infrastructure cost varies
Fits in one request

Hy4 preview has no comparable published API token rate. Ornith-1.0-9B has no comparable published API token rate.

Cache-heavy agent loop

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

Hy4 preview
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable
Ornith-1.0-9B
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable

Hy4 preview has no comparable published API token rate. Ornith-1.0-9B 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.

Hy4 preview

No comparable hosted API rate

Tencent Hy4 preview model card

Ornith-1.0-9B

No comparable hosted API rate

Documented inputs

Hy4 preview

Not sourced

Ornith-1.0-9B

Not sourced

Documented outputs

Hy4 preview

Not sourced

Ornith-1.0-9B

Not sourced

Provider availability

Hy4 preview

Not sourced

Ornith-1.0-9B

Not sourced

Reasoning profile

Hy4 preview

Reasoning

Ornith-1.0-9B

Reasoning

Weight access

Hy4 preview

Open Weight

Ornith-1.0-9B

Open Weight

License

Hy4 preview

Open Weight

Ornith-1.0-9B

Open Weight

Release date

Hy4 preview

2026-08-28

Ornith-1.0-9B

2026-06-01

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
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
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.

Benchmark evidence

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

Browse raw public benchmark evidence32 rows

Agentic

  • Terminal-Bench 2.1

    Hy4 preview85.4%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • CyberGym

    Hy4 preview78.4%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • WideResearch

    Hy4 preview83.9%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • DRACO

    Hy4 preview77.2%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • MCP Atlas

    Hy4 preview83.7%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • Toolathlon-Verified

    Hy4 preview74.1%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • APEX-Agents

    Hy4 preview37.1%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • skillsBench

    Hy4 preview62.9%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • JobBench

    Hy4 preview61.7%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • Agents' Last Exam

    Hy4 preview22.8%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • AutomationBench

    Hy4 preview32.1%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • BankerToolBench

    Hy4 preview78.6%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • HLE w/ tools

    Hy4 preview55.4%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • Terminal-Bench 2.0

    Hy4 preview—
    Ornith-1.0-9B43.1%
    Source

    Not directly comparable

  • Claw-Eval

    Hy4 preview—
    Ornith-1.0-9B63.1%
    Source

    Not directly comparable

Coding

  • Terminal-Bench 2.1

    Hy4 preview85.4%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • SWE-bench Pro

    Hy4 preview65.7%
    Source
    Ornith-1.0-9B42.9%
    Source

    Hy4 preview leads this result

  • SWE Multilingual

    Hy4 preview82.9%
    Source
    Ornith-1.0-9B52%
    Source

    Hy4 preview leads this result

  • deepSwe

    Hy4 preview64.3%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • NL2Repo

    Hy4 preview58.9%
    Source
    Ornith-1.0-9B27.2%
    Source

    Hy4 preview leads this result

  • ProgramBench

    Hy4 preview17.5%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • PostTrain Bench

    Hy4 preview35.6%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • sweMarathon

    Hy4 preview31.9%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • SWE-bench Verified

    Hy4 preview—
    Ornith-1.0-9B69.4%
    Source

    Not directly comparable

  • Terminal-Bench 2.0

    Hy4 preview—
    Ornith-1.0-9B43.1%
    Source

    Not directly comparable

Reasoning

  • CritPt

    Hy4 preview16.9%
    Source
    Ornith-1.0-9B—

    Not directly comparable

Knowledge

  • GPQA

    Hy4 preview92.3%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • GPQA-D

    Hy4 preview92.3%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • HLE

    Hy4 preview55.4%
    Source
    Ornith-1.0-9B—

    Not directly comparable

  • HLE w/o tools

    Hy4 preview43.4%
    Source
    Ornith-1.0-9B—

    Not directly comparable

Math

  • Apex

    Hy4 preview74.2%
    Source
    Ornith-1.0-9B—

    Not directly comparable

Multimodal

  • OfficeQA Pro

    Hy4 preview66.2%
    Source
    Ornith-1.0-9B—

    Not directly comparable

Frequently asked questions

Which is better, Hy4 preview or Ornith-1.0-9B?

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Hy4 preview or Ornith-1.0-9B?

The current coding averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, Hy4 preview or Ornith-1.0-9B?

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, Hy4 preview or Ornith-1.0-9B?

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, Hy4 preview or Ornith-1.0-9B?

Hy4 preview has the larger documented context window: 1M, compared with 256K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 28, 2026

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