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BenchLM
Anthropic logo
Model A
Claude Mythos Preview

Anthropic

—

Evidence status unavailable

90% interval unavailable

Claude Mythos Preview 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

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

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.

No workload recommendation clears the current evidence threshold.

Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.

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

  • Long documents

    Prompts that approach the documented context limit

    Not enough matched evidence

    A complete context comparison is not sourced.

    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: rate-fallback

  • 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
Claude Mythos Preview only
1
Hy4 preview only
27
Like-for-like categories
0 / 8

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.

Agentic

Not comparable
Claude Mythos Preview
Not measured
Hy4 preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Coding

Not comparable
Claude Mythos Preview
Not measured
Hy4 preview
65.7
Weighted basis
0 vs 1 rows
Reading
Not comparable

Reasoning

Not comparable
Claude Mythos Preview
Not measured
Hy4 preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
Claude Mythos Preview
Not measured
Hy4 preview
60.4
Weighted basis
0 vs 2 rows
Reading
Not comparable

Math

Not comparable
Claude Mythos Preview
Not measured
Hy4 preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
Claude Mythos Preview
Not measured
Hy4 preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Claude Mythos Preview
Not measured
Hy4 preview
66.2
Weighted basis
0 vs 1 rows
Reading
Not comparable

Instruction following

Not comparable
Claude Mythos Preview
Not measured
Hy4 preview
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.

A shared-evidence shape is not available.

BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.

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

Claude Mythos Preview
$0.0875
Fit state unavailable
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

Claude Mythos Preview
$1.63
Fit state unavailable
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

Claude Mythos Preview
$6.75
Fit state unavailable
Cached input priced at the published list-input rate
Hy4 preview
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable

Claude Mythos Preview has no published cached-input rate, so cached tokens use its listed input rate. 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.

Context window

Maximum documented context; output-token limits may be lower.

Claude Mythos Preview

Not sourced

Documented inputs

Claude Mythos Preview

Not sourced

Hy4 preview

Not sourced

Documented outputs

Claude Mythos Preview

Not sourced

Hy4 preview

Not sourced

Provider availability

Claude Mythos Preview

Not sourced

Hy4 preview

Not sourced

Reasoning profile

Claude Mythos Preview

Reasoning

Hy4 preview

Reasoning

Weight access

Claude Mythos Preview

Proprietary

Hy4 preview

Open Weight

License

Claude Mythos Preview

Proprietary

Hy4 preview

Open Weight

Release date

Claude Mythos Preview

2026-04-07

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
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
A complete documented context comparison is not available.

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 evidence29 rows

Agentic

  • CyberGym

    Claude Mythos Preview83.1%
    Source
    Hy4 preview78.4%
    Source

    Claude Mythos Preview leads this result

  • ExploitGym

    Claude Mythos Preview17.5%
    Source
    Hy4 preview—

    Not directly comparable

  • Terminal-Bench 2.1

    Claude Mythos Preview—
    Hy4 preview85.4%
    Source

    Not directly comparable

  • WideResearch

    Claude Mythos Preview—
    Hy4 preview83.9%
    Source

    Not directly comparable

  • DRACO

    Claude Mythos Preview—
    Hy4 preview77.2%
    Source

    Not directly comparable

  • MCP Atlas

    Claude Mythos Preview—
    Hy4 preview83.7%
    Source

    Not directly comparable

  • Toolathlon-Verified

    Claude Mythos Preview—
    Hy4 preview74.1%
    Source

    Not directly comparable

  • APEX-Agents

    Claude Mythos Preview—
    Hy4 preview37.1%
    Source

    Not directly comparable

  • skillsBench

    Claude Mythos Preview—
    Hy4 preview62.9%
    Source

    Not directly comparable

  • JobBench

    Claude Mythos Preview—
    Hy4 preview61.7%
    Source

    Not directly comparable

  • Agents' Last Exam

    Claude Mythos Preview—
    Hy4 preview22.8%
    Source

    Not directly comparable

  • AutomationBench

    Claude Mythos Preview—
    Hy4 preview32.1%
    Source

    Not directly comparable

  • BankerToolBench

    Claude Mythos Preview—
    Hy4 preview78.6%
    Source

    Not directly comparable

  • HLE w/ tools

    Claude Mythos Preview—
    Hy4 preview55.4%
    Source

    Not directly comparable

Coding

  • Terminal-Bench 2.1

    Claude Mythos Preview—
    Hy4 preview85.4%
    Source

    Not directly comparable

  • SWE-bench Pro

    Claude Mythos Preview—
    Hy4 preview65.7%
    Source

    Not directly comparable

  • SWE Multilingual

    Claude Mythos Preview—
    Hy4 preview82.9%
    Source

    Not directly comparable

  • deepSwe

    Claude Mythos Preview—
    Hy4 preview64.3%
    Source

    Not directly comparable

  • NL2Repo

    Claude Mythos Preview—
    Hy4 preview58.9%
    Source

    Not directly comparable

  • ProgramBench

    Claude Mythos Preview—
    Hy4 preview17.5%
    Source

    Not directly comparable

  • PostTrain Bench

    Claude Mythos Preview—
    Hy4 preview35.6%
    Source

    Not directly comparable

  • sweMarathon

    Claude Mythos Preview—
    Hy4 preview31.9%
    Source

    Not directly comparable

Reasoning

  • CritPt

    Claude Mythos Preview—
    Hy4 preview16.9%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Claude Mythos Preview—
    Hy4 preview92.3%
    Source

    Not directly comparable

  • GPQA-D

    Claude Mythos Preview—
    Hy4 preview92.3%
    Source

    Not directly comparable

  • HLE

    Claude Mythos Preview—
    Hy4 preview55.4%
    Source

    Not directly comparable

  • HLE w/o tools

    Claude Mythos Preview—
    Hy4 preview43.4%
    Source

    Not directly comparable

Math

  • Apex

    Claude Mythos Preview—
    Hy4 preview74.2%
    Source

    Not directly comparable

Multimodal

  • OfficeQA Pro

    Claude Mythos Preview—
    Hy4 preview66.2%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Claude Mythos Preview or Hy4 preview?

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, Claude Mythos Preview 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, Claude Mythos Preview 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, Claude Mythos Preview 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, Claude Mythos Preview or Hy4 preview?

A complete documented context-window comparison is not available.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 28, 2026

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