Skip to main content
BenchLM

Claude Sonnet 5.5 vs Hy4 preview

Updated September 28, 2026. Rank says Claude Sonnet 5.5 is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

Share or export
Share on XLinkedInSocial cardCSVJSON

Decision reading

Claude Sonnet 5.5 has the higher public score estimate, 80.49 versus 60.26, but the 90% score intervals overlap. Treat that as a lead, not a settled winner. 9 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A
Anthropic logo

Anthropic

80.49/100

Estimated · Public rank #5

90% interval 69.0–92.0

Model B
Tencent logo

Tencent

60.26/100

Estimated · Public rank #45

90% interval 50.4–70.1

Shared results
9
Claude Sonnet 5.5 only
38
Hy4 preview only
20
Like-for-like categories
0 / 8
Estimated: Claude Sonnet 5.5 and Hy4 previewHow the comparison works

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

    Claude Sonnet 5.5 is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.

    Confidence: limited
  • Agentic work

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

    Not enough matched evidence

    Hy4 preview is scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.

    Confidence: limited
  • Long documents

    Prompts that approach the documented context limit

    No clear pick

    The documented context windows are equal.

    Confidence: documented
  • 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

Which one for a specific job

Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

79.6Claude Sonnet 5.560.4Hy4 preview

Directional only · BenchAlign v5.7

Claude Sonnet 5.5 scores higher, but at least one score rests on Estimated evidence or a different benchmark set. Directional only, no winner.

Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.

Same basis rules as the category table below

What is actually comparable

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

3 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

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.

Bars run 0–100 on each benchmark’s normalized display scale

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.7 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Agentic

Directional only
Claude Sonnet 5.5
66.1
Supported · #10/111
Hy4 preview
52.9
Estimated · #34/111
Basis
BenchAlign v5.7 lane · 11 vs 14 public rows
Reading
Directional only

Coding

Directional only
Claude Sonnet 5.5
79.6
Estimated · #3/136
Hy4 preview
60.4
Supported · #16/136
Basis
BenchAlign v5.7 lane · 9 vs 8 public rows
Reading
Directional only

Knowledge

Directional only
Claude Sonnet 5.5
80.9
Supported · #6/160
Hy4 preview
62.4
Estimated · #32/160
Basis
BenchAlign v5.7 lane · 16 vs 4 public rows
Reading
Directional only

Reasoning

Not comparable
Claude Sonnet 5.5
79.2
#7/27
Hy4 preview
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Claude Sonnet 5.5
83.3
Unranked · 7 rankable rows
Hy4 preview
84.9
Unranked · 1 rankable row
Basis
Provisional lane · 1 vs 1 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Claude Sonnet 5.5
Not ranked
Hy4 preview
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Claude Sonnet 5.5
Not ranked
Hy4 preview
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Claude Sonnet 5.5
Not ranked
Hy4 preview
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.7) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Supported evidence per lane · bars run 0–100Methodology

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 Sonnet 5.5
$0.007
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

Claude Sonnet 5.5
$0.13
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

Claude Sonnet 5.5
$0.18
Fits in one request
Hy4 preview
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable

Hy4 preview has no comparable published API token rate.

Cached input falls back to the list input rate only where a cached rate is unpublished

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.

Claude Sonnet 5.5

$0.2 per 1M cached input tokens

Claude API pricing

Hy4 preview

No comparable hosted API rate

Tencent Hy4 preview model card

Reasoning profile

Claude Sonnet 5.5

Reasoning

Hy4 preview

Reasoning

Weight access

Claude Sonnet 5.5

Proprietary

Hy4 preview

Open Weight

License

Claude Sonnet 5.5

Proprietary

Hy4 preview

Open Weight

Release date

Claude Sonnet 5.5

2026-09-28

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
Claude Sonnet 5.5 has the higher public score estimate, 80.49 versus 60.26, but the 90% score intervals overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Both models list 1M.
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Claude Sonnet 5.5 or Hy4 preview?

Claude Sonnet 5.5 has the higher public score estimate, 80.49 versus 60.26, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, Claude Sonnet 5.5 or Hy4 preview?

Claude Sonnet 5.5 scores higher for coding on the public lane, 79.6 to 60.4. Claude Sonnet 5.5 is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, Claude Sonnet 5.5 or Hy4 preview?

Claude Sonnet 5.5 scores higher for agentic tasks on the public lane, 66.1 to 52.9. Hy4 preview is scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which costs less, Claude Sonnet 5.5 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 Sonnet 5.5 or Hy4 preview?

Both models list the same context window, 1M.

Benchmark evidence

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

Browse raw public benchmark evidence67 rows

Agentic

  • Terminal-Bench 4.0

    Claude Sonnet 5.570.60%
    Source
    Hy4 preview—

    Not directly comparable

  • HLE w/ tools

    Claude Sonnet 5.564.5%
    Source
    Hy4 preview55.4%
    Source

    Claude Sonnet 5.5 leads this result

  • DRACO

    Claude Sonnet 5.587.0%
    Source
    Hy4 preview77.2%
    Source

    Claude Sonnet 5.5 leads this result

  • Terminal-Bench-Science 0.1

    Claude Sonnet 5.559.9%
    Source
    Hy4 preview—

    Not directly comparable

  • LAB all-pass (Harvey held-out)

    Claude Sonnet 5.510.0%
    Source
    Hy4 preview—

    Not directly comparable

  • LAB criterion-pass (Harvey held-out)

    Claude Sonnet 5.593.1%
    Source
    Hy4 preview—

    Not directly comparable

  • Toolathlon Verified Pass@3

    Claude Sonnet 5.585.2%
    Source
    Hy4 preview—

    Not directly comparable

  • Toolathlon Verified Pass³

    Claude Sonnet 5.568.5%
    Source
    Hy4 preview—

    Not directly comparable

  • Toolathlon Verified avg. turns

    Claude Sonnet 5.531.6 turns
    Source
    Hy4 preview—

    Not directly comparable

  • AutomationBench (Zapier 1.0.6)

    Claude Sonnet 5.544.7%
    Source
    Hy4 preview—

    Not directly comparable

  • Toolathlon-Verified

    Claude Sonnet 5.577.8%
    Source
    Hy4 preview74.1%
    Source

    Claude Sonnet 5.5 leads this result

  • Terminal-Bench 2.1

    Claude Sonnet 5.5—
    Hy4 preview85.4%
    Source

    Not directly comparable

  • CyberGym

    Claude Sonnet 5.5—
    Hy4 preview78.4%
    Source

    Not directly comparable

  • WideResearch

    Claude Sonnet 5.5—
    Hy4 preview83.9%
    Source

    Not directly comparable

  • MCP Atlas

    Claude Sonnet 5.5—
    Hy4 preview83.7%
    Source

    Not directly comparable

  • APEX-Agents

    Claude Sonnet 5.5—
    Hy4 preview37.1%
    Source

    Not directly comparable

  • skillsBench

    Claude Sonnet 5.5—
    Hy4 preview62.9%
    Source

    Not directly comparable

  • JobBench

    Claude Sonnet 5.5—
    Hy4 preview61.7%
    Source

    Not directly comparable

  • Agents' Last Exam

    Claude Sonnet 5.5—
    Hy4 preview22.8%
    Source

    Not directly comparable

  • AutomationBench

    Claude Sonnet 5.5—
    Hy4 preview32.1%
    Source

    Not directly comparable

  • BankerToolBench

    Claude Sonnet 5.5—
    Hy4 preview78.6%
    Source

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    Claude Sonnet 5.5—
    Hy4 preview55.1%
    Source

    Not directly comparable

Coding

  • FrontierCode 1.1 Main

    Claude Sonnet 5.546.2%
    Source
    Hy4 preview—

    Not directly comparable

  • cursorBench40

    Claude Sonnet 5.555.5%
    Source
    Hy4 preview—

    Not directly comparable

  • SWE-bench Pro

    Claude Sonnet 5.581.3%
    Source
    Hy4 preview65.7%
    Source

    Claude Sonnet 5.5 leads this result

  • SWE Multilingual

    Claude Sonnet 5.590.3%
    Source
    Hy4 preview82.9%
    Source

    Claude Sonnet 5.5 leads this result

  • SWE Multimodal

    Claude Sonnet 5.554.3%
    Source
    Hy4 preview—

    Not directly comparable

  • DeepSWE

    Claude Sonnet 5.571.0%
    Source
    Hy4 preview64.3%
    Source

    Claude Sonnet 5.5 leads this result

  • FrontierCode 1.1 Extended

    Claude Sonnet 5.559.1%
    Source
    Hy4 preview—

    Not directly comparable

  • ProgramBench

    Claude Sonnet 5.579.7%
    Source
    Hy4 preview17.5%
    Source

    Claude Sonnet 5.5 leads this result

  • FrontierSWE v2

    Claude Sonnet 5.561.9%
    Source
    Hy4 preview—

    Not directly comparable

  • Terminal-Bench 2.1

    Claude Sonnet 5.5—
    Hy4 preview85.4%
    Source

    Not directly comparable

  • NL2Repo

    Claude Sonnet 5.5—
    Hy4 preview58.9%
    Source

    Not directly comparable

  • PostTrain Bench

    Claude Sonnet 5.5—
    Hy4 preview35.6%
    Source

    Not directly comparable

  • sweMarathon

    Claude Sonnet 5.5—
    Hy4 preview31.9%
    Source

    Not directly comparable

Reasoning

  • CritPt

    Claude Sonnet 5.5—
    Hy4 preview16.9%
    Source

    Not directly comparable

Multimodal

  • Chartography (no tools)

    Claude Sonnet 5.561.6%
    Source
    Hy4 preview—

    Not directly comparable

  • Chartography (tools)

    Claude Sonnet 5.590.2%
    Source
    Hy4 preview—

    Not directly comparable

  • BenchCAD Vision2Code (no tools)

    Claude Sonnet 5.50.747
    Source
    Hy4 preview—

    Not directly comparable

  • BenchCAD Vision2Code (tools)

    Claude Sonnet 5.50.963
    Source
    Hy4 preview—

    Not directly comparable

  • Biomedical image analysis

    Claude Sonnet 5.572.2%
    Source
    Hy4 preview—

    Not directly comparable

  • OfficeQA

    Claude Sonnet 5.576.9%
    Source
    Hy4 preview—

    Not directly comparable

  • OfficeQA Pro

    Claude Sonnet 5.565.6%
    Source
    Hy4 preview66.2%
    Source

    Hy4 preview leads this result

Knowledge

  • HealthBench (raw)

    Claude Sonnet 5.569.4%
    Source
    Hy4 preview—

    Not directly comparable

  • HealthBench (length-adjusted)

    Claude Sonnet 5.565.4%
    Source
    Hy4 preview—

    Not directly comparable

  • HealthBench Professional (raw)

    Claude Sonnet 5.577.1%
    Source
    Hy4 preview—

    Not directly comparable

  • HealthBench Professional

    Claude Sonnet 5.569.2%
    Source
    Hy4 preview—

    Not directly comparable

  • BioMysteryBench (human-solvable)

    Claude Sonnet 5.589.2%
    Source
    Hy4 preview—

    Not directly comparable

  • BioMysteryBench (human-difficult)

    Claude Sonnet 5.544.7%
    Source
    Hy4 preview—

    Not directly comparable

  • SpatialBench Verified

    Claude Sonnet 5.572.5%
    Source
    Hy4 preview—

    Not directly comparable

  • SingleCellBench

    Claude Sonnet 5.559.1%
    Source
    Hy4 preview—

    Not directly comparable

  • Protein Design

    Claude Sonnet 5.551.0%
    Source
    Hy4 preview—

    Not directly comparable

  • Morphology-to-molecule matching

    Claude Sonnet 5.525.0%
    Source
    Hy4 preview—

    Not directly comparable

  • Medicinal chemistry

    Claude Sonnet 5.565.3%
    Source
    Hy4 preview—

    Not directly comparable

  • Protein Design library ranking

    Claude Sonnet 5.554.8%
    Source
    Hy4 preview—

    Not directly comparable

  • De novo protein-binder design

    Claude Sonnet 5.582.3%
    Source
    Hy4 preview—

    Not directly comparable

  • Protocols (troubleshooting)

    Claude Sonnet 5.567.3%
    Source
    Hy4 preview—

    Not directly comparable

  • Protocols (understanding)

    Claude Sonnet 5.566.6%
    Source
    Hy4 preview—

    Not directly comparable

  • HLE w/o tools

    Claude Sonnet 5.556.9%
    Source
    Hy4 preview43.4%
    Source

    Claude Sonnet 5.5 leads this result

  • GPQA

    Claude Sonnet 5.5—
    Hy4 preview92.3%
    Source

    Not directly comparable

  • GPQA-D

    Claude Sonnet 5.5—
    Hy4 preview92.3%
    Source

    Not directly comparable

  • HLE

    Claude Sonnet 5.5—
    Hy4 preview55.4%
    Source

    Not directly comparable

Multilingual

  • GMMLU

    Claude Sonnet 5.592.1%
    Source
    Hy4 preview—

    Not directly comparable

  • MILU

    Claude Sonnet 5.591.6%
    Source
    Hy4 preview—

    Not directly comparable

Math

  • ArXivMath Aug. 2026 (no tools)

    Claude Sonnet 5.586.8%
    Source
    Hy4 preview—

    Not directly comparable

  • ArXivMath Aug. 2026 (tools)

    Claude Sonnet 5.595.2%
    Source
    Hy4 preview—

    Not directly comparable

  • Apex

    Claude Sonnet 5.5—
    Hy4 preview74.2%
    Source

    Not directly comparable

67 public results · 9 shared

Watch Claude Sonnet 5.5 vs Hy4 preview

One weekly email when material rank, price, or benchmark evidence changes make this matchup worth revisiting.

Read a sample issue

Join 2,000+ readers.

Last updated September 28, 2026