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Claude Opus 4.7 vs Hy4

Claude Opus 4.7 leads Hy4 on coding, 67.5 to 65.2 on the Vibe Coding Index, and Hy4 costs 20.0x less per output token ($1.2505 vs $25.00 per million). Updated November 5, 2026; 3 benchmarks have a result for both.

Claude Opus 4.7Anthropic
Coding
67.5
Overall
74.4
Output $/M
$25.00
0
Hy4Tencent
Coding
65.2
Overall
No data
Output $/M
$1.2505
3
vs boards won of 3 shared

Claude Opus 4.7 or Hy4: which to pick

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 65.2 for Hy4.

Pick Hy4 for output tokens 20.0x cheaper ($1.2505 vs $25.00 per million) and a larger context window (1.05M against 1M tokens).

Shared results
3
Claude Opus 4.7 only
108
Hy4 only
3
Like-for-like categories
2 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Claude Opus 4.7 67.5 from 4 benchmarks, Hy4 65.2 from 2 benchmarks.
Widest category
Coding, 10.0 points apart on average over 1 shared benchmark.
Widest single gap
Tax Agent Bench (Vals AI): Claude Opus 4.7 23.7% against Hy4 34.4%, 10.7 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against Hy4 $1.2505 per million output tokens, 20.0x apart.
Context window
Claude Opus 4.7 takes 1M tokens, Hy4 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryClaude Opus 4.7BarsHy4Ties
Coding01
Agentic work02
All shared boards03
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Claude Opus 4.7 and Hy4
BenchmarkClaude Opus 4.7Hy4Leader
LMArena WebDev1558Not measuredOnly Claude Opus 4.7 measured
AA Coding Index73.6Not measuredOnly Claude Opus 4.7 measured
LiveCodeBench (Vals AI)85.1%Not measuredOnly Claude Opus 4.7 measured
SWE-bench Verified (Vals AI)82.0%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench 4 (Vals AI)Not measured39.4%Only Hy4 measured
Vibe Code Bench (Vals AI)71.0%81.0%Hy4
Code migration (Vals AI)43.9%Not measuredOnly Claude Opus 4.7 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench 2.1 (Vals AI)68.5%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench Hard (Artificial Analysis run)54.5%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench80.2%Not measuredOnly Claude Opus 4.7 measured
FrontierCode38.5%Not measuredOnly Claude Opus 4.7 measured
GSO-Bench44.1%Not measuredOnly Claude Opus 4.7 measured
WeirdML76.4%Not measuredOnly Claude Opus 4.7 measured
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: coding1519Not measuredOnly Claude Opus 4.7 measured
LMArena Text: software and IT1516Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: React1560Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: HTML1554Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: from an image1577Not measuredOnly Claude Opus 4.7 measured
SWE Atlas: Codebase QnA40.3%Not measuredOnly Claude Opus 4.7 measured
SWE Atlas: Refactoring48.6%Not measuredOnly Claude Opus 4.7 measured
SWE Atlas: Test Writing38.5%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench 2.080.2%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench 2.168.9%Not measuredOnly Claude Opus 4.7 measured
ProgramBench0.0%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 24 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Claude Opus 4.7 and Hy4
BenchmarkClaude Opus 4.7Hy4Leader
Epoch Capabilities Index157.6Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Claude Opus 4.7 and Hy4
BenchmarkClaude Opus 4.7Hy4Leader
AA Agentic Index38.6Not measuredOnly Claude Opus 4.7 measured
Finance Agent (Vals AI)51.5%Not measuredOnly Claude Opus 4.7 measured
Tax Agent Bench (Vals AI)23.7%34.4%Hy4
Legal Research Bench (Vals AI)38.5%41.4%Hy4
Harvey's Legal Agent Benchmark (Vals AI)Not measured12.5%Only Hy4 measured
Excel Modeling Benchmark (Vals AI)63.7%Not measuredOnly Claude Opus 4.7 measured
τ²-Bench Telecom88.6%Not measuredOnly Claude Opus 4.7 measured
APEX-Agents49.2%Not measuredOnly Claude Opus 4.7 measured
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
Vending-Bench 2$10,937Not measuredOnly Claude Opus 4.7 measured
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
MCP Atlas79.1%Not measuredOnly Claude Opus 4.7 measured
τ³-Banking40.2%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 30 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
Reasoning benchmarks for Claude Opus 4.7 and Hy4
BenchmarkClaude Opus 4.7Hy4Leader
GPQA Diamond90.2%Not measuredOnly Claude Opus 4.7 measured
MMMU Pro (Vals AI)85.5%Not measuredOnly Claude Opus 4.7 measured
GPQA Diamond (Artificial Analysis run)91.4%Not measuredOnly Claude Opus 4.7 measured
Humanity's Last Exam (Artificial Analysis run)42.3%Not measuredOnly Claude Opus 4.7 measured
GPQA Diamond (Epoch AI run)90.2%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI93.5%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI-275.8%Not measuredOnly Claude Opus 4.7 measured
SimpleBench61.7%Not measuredOnly Claude Opus 4.7 measured
Chess puzzles41.0%Not measuredOnly Claude Opus 4.7 measured
Mystery game puzzles28.0%Not measuredOnly Claude Opus 4.7 measured
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts1506Not measuredOnly Claude Opus 4.7 measured
LMArena Text: expert1520Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts in English1508Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: diagrams1336Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.7 measured
Kagi LLM Benchmark80.7%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 7 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Math benchmarks for Claude Opus 4.7 and Hy4
BenchmarkClaude Opus 4.7Hy4Leader
AIME96.3%Not measuredOnly Claude Opus 4.7 measured
OTIS Mock AIME97.8%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tiers 1 to 370.2%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tier 431.7%Not measuredOnly Claude Opus 4.7 measured
ProofBench54.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: math1499Not measuredOnly Claude Opus 4.7 measured
LMArena Text: mathematical work1510Not measuredOnly Claude Opus 4.7 measured
MathArena20.1%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 6 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
Knowledge benchmarks for Claude Opus 4.7 and Hy4
BenchmarkClaude Opus 4.7Hy4Leader
MMLU Pro89.9%Not measuredOnly Claude Opus 4.7 measured
LegalBench (Vals AI)85.3%Not measuredOnly Claude Opus 4.7 measured
CaseLaw (Vals AI)68.4%Not measuredOnly Claude Opus 4.7 measured
CorpFin (Vals AI)66.1%Not measuredOnly Claude Opus 4.7 measured
TaxEval (Vals AI)75.3%Not measuredOnly Claude Opus 4.7 measured
MortgageTax (Vals AI)70.3%Not measuredOnly Claude Opus 4.7 measured
MedCode (Vals AI)54.9%Not measuredOnly Claude Opus 4.7 measured
SimpleQA Verified51.7%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: science1508Not measuredOnly Claude Opus 4.7 measured
LMArena Text: medicine and healthcare1495Not measuredOnly Claude Opus 4.7 measured
LMArena Text: legal and government1504Not measuredOnly Claude Opus 4.7 measured
LMArena Text: business and finance1490Not measuredOnly Claude Opus 4.7 measured
FACTS Benchmark Suite35.8%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 7 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Claude Opus 4.7 and Hy4
BenchmarkClaude Opus 4.7Hy4Leader
Neither model has a result on 9 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index35 boards, none shared
General benchmarks for Claude Opus 4.7 and Hy4
BenchmarkClaude Opus 4.7Hy4Leader
Vals IndexNot measured59.4%Only Hy4 measured
MedScribe (Vals AI)83.0%Not measuredOnly Claude Opus 4.7 measured
Vals Multimodal Index67.4%Not measuredOnly Claude Opus 4.7 measured
IFBench58.6%Not measuredOnly Claude Opus 4.7 measured
Long context reasoning (AA-LCR)78.7%Not measuredOnly Claude Opus 4.7 measured
DTBench94.7%Not measuredOnly Claude Opus 4.7 measured
LMCA52.2%Not measuredOnly Claude Opus 4.7 measured
Furniture assembly33.3%Not measuredOnly Claude Opus 4.7 measured
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text1490Not measuredOnly Claude Opus 4.7 measured
LMArena Text: instruction following1498Not measuredOnly Claude Opus 4.7 measured
LMArena Text: creative writing1486Not measuredOnly Claude Opus 4.7 measured
LMArena Vision1317Not measuredOnly Claude Opus 4.7 measured
LMArena Text: English1496Not measuredOnly Claude Opus 4.7 measured
LMArena Text: non-English1480Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Chinese1531Not measuredOnly Claude Opus 4.7 measured
LMArena Text: German1497Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Japanese1473Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Korean1464Not measuredOnly Claude Opus 4.7 measured
LMArena Text: French1503Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Spanish1494Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Russian1494Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Polish1490Not measuredOnly Claude Opus 4.7 measured
LMArena Text: multi-turn1505Not measuredOnly Claude Opus 4.7 measured
LMArena Text: longer queries1505Not measuredOnly Claude Opus 4.7 measured
LMArena Text: writing and language1492Not measuredOnly Claude Opus 4.7 measured
LMArena Text: entertainment and media1474Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: English1322Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: Chinese1371Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: reading text1327Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: humor1309Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: recognizing things1278Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: creative writing1326Not measuredOnly Claude Opus 4.7 measured
LMArena Document1495Not measuredOnly Claude Opus 4.7 measured
EQ-Bench 41293Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.7 and Hy4
BenchmarkClaude Opus 4.7Hy4Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Claude Opus 4.7$0.018Fits in one request
Hy4$0.0010Fits in one request

Hy4 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.7$0.325Fits in one request
Hy4$0.025Fits in one request

Hy4 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.7$1.25Fits in one request
Hy4$0.096Fits in one request

Hy4 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Claude Opus 4.7 and Hy4
SpecificationAnthropic Claude Opus 4.7Tencent Hy4
MakerAnthropicTencent
WeightsNo public weights listedOpen weights
ReleasedApril 16, 2026November 4, 2026
Context window1M1.05M
Input $/Mtok$5.00$0.417
Output $/Mtok$25.00$1.2505
Coding index67.565.2
Independent measurements behind it42
Cost per solved task$2.95Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than Hy4 for coding?

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 65.2 for Hy4. Pick Hy4 for output tokens 20.0x cheaper ($1.2505 vs $25.00 per million) and a larger context window (1.05M against 1M tokens).

Which is cheaper, Claude Opus 4.7 or Hy4?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; Hy4 costs $0.417 and $1.2505. Cost per solved task is known for Claude Opus 4.7 only.

Which has the bigger context window, Claude Opus 4.7 or Hy4?

Hy4, with 1.05M tokens against 1M.

How many benchmarks is the Claude Opus 4.7 vs Hy4 comparison based on?

3 benchmarks have a result for both models as of November 5, 2026. Claude Opus 4.7's coding index rests on 4 independent benchmarks and Hy4's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-opus-4-7-vs-tencent-hy4">LLMBenchmark.ai, Claude Opus 4.7 vs Hy4</a></p>