Claude Opus 4.5 vs Hy3
Hy3 costs 47.3x less per output token than Claude Opus 4.5 ($0.528 vs $25.00 per million). Updated October 22, 2026; 42 benchmarks have a result for both.
Claude Opus 4.5 or Hy3: which to pick
Only Claude Opus 4.5 has a coding score, 44.0 on the Vibe Coding Index; Hy3 has none, so the two cannot be ranked on coding.
Pick Hy3 for output tokens 47.3x cheaper ($0.528 vs $25.00 per million) and a larger context window (262K against 200K tokens).
- Shared results
- 42
- Claude Opus 4.5 only
- 66
- Hy3 only
- 2
- Like-for-like categories
- 6 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Claude Opus 4.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Claude Opus 4.5 has a AA Intelligence Index result, 29.1.
Directional only
Reasoning
GPQA Diamond
No call
Only Claude Opus 4.5 has a GPQA Diamond result, 85.9%.
Directional only
Math
AIME
No call
Only Claude Opus 4.5 has a AIME result, 95.4%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Opus 4.5 has a MMLU Pro result, 87.3%.
Directional only
Web design
Design Arena: websites
Claude Opus 4.5
Claude Opus 4.5 leads, 1247 against 1230.
Same board, both measured
Long documents
Listed context window
Hy3
Hy3 takes 262K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy3
Claude Opus 4.5 $0.018, Hy3 $0.0004 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Opus 4.5 has the number, $1.37.
Directional only
At a glance
- Coding index
- Claude Opus 4.5 44.0 from 3 benchmarks, Hy3 not benchmarked.
- Widest category
- Coding, 4.2 points apart on average over 5 shared benchmarks.
- Widest single gap
- Design Arena: data viz: Claude Opus 4.5 1243 against Hy3 1164, 9.9 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.5 $25.00 against Hy3 $0.528 per million output tokens, 47.3x apart.
- Context window
- Claude Opus 4.5 takes 200K tokens, Hy3 262K.
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.
| Category | Claude Opus 4.5 | Bars | Hy3 | Ties |
|---|---|---|---|---|
| Coding | 3 | 2 | ||
| Reasoning | 3 | 2 | ||
| Math | 0 | 2 | ||
| Knowledge | 2 | 2 | ||
| Web design | 6 | 2 | ||
| General | 15 | 3 | ||
| All shared boards | 29 | 13 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index32
| Benchmark | Claude Opus 4.5 | Hy3 | Leader |
|---|---|---|---|
| SWE-bench Verified | 79.2% | Not measured | Only Claude Opus 4.5 measured |
| SWE-bench (full test set) | 52.6% | Not measured | Only Claude Opus 4.5 measured |
| SWE-bench Multilingual | 70.7% | Not measured | Only Claude Opus 4.5 measured |
| LMArena WebDev | 1494 | 1507 | Hy3 |
| LiveCodeBench (Vals AI) | 83.7% | Not measured | Only Claude Opus 4.5 measured |
| SWE-bench Verified (Vals AI) | 76.4% | Not measured | Only Claude Opus 4.5 measured |
| Vibe Code Bench (Vals AI) | 20.6% | Not measured | Only Claude Opus 4.5 measured |
| LiveCodeBench (Artificial Analysis run) | 87.1% | Not measured | Only Claude Opus 4.5 measured |
| SciCode | Not measured | 48.6% | Only Hy3 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 47.0% | Not measured | Only Claude Opus 4.5 measured |
| Terminal-Bench | 63.1% | Not measured | Only Claude Opus 4.5 measured |
| GSO-Bench | 26.5% | Not measured | Only Claude Opus 4.5 measured |
| WeirdML | 63.7% | Not measured | Only Claude Opus 4.5 measured |
| Cybench | 82.0% | Not measured | Only Claude Opus 4.5 measured |
| ALE-Bench | Not measured | 838.6 | Only Hy3 measured |
| LMArena Text: coding | 1503 | 1466 | Claude Opus 4.5 |
| LMArena Text: software and IT | 1483 | 1463 | Claude Opus 4.5 |
| LMArena WebDev: React | 1478 | 1511 | Hy3 |
| LMArena WebDev: HTML | 1510 | 1487 | Claude Opus 4.5 |
| Neither model has a result on the other 20 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Claude Opus 4.5 | Hy3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.1 | Not measured | Only Claude Opus 4.5 measured |
| Epoch Capabilities Index | 150.1 | Not measured | Only Claude Opus 4.5 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
| Benchmark | Claude Opus 4.5 | Hy3 | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1159 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: agents building full-stack apps | 1156 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: agents building mobile apps | 1189 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: agents building Android apps | 1176 | Not measured | Only Claude Opus 4.5 measured |
| τ²-Bench Telecom | 89.5% | Not measured | Only Claude Opus 4.5 measured |
| METR time horizons | 75.0% | Not measured | Only Claude Opus 4.5 measured |
| Remote Labor Index | 3.8% | Not measured | Only Claude Opus 4.5 measured |
| GDPval | 45.5% | Not measured | Only Claude Opus 4.5 measured |
| BALROG | 43.5% | Not measured | Only Claude Opus 4.5 measured |
| DeepResearch Bench | 54.8% | Not measured | Only Claude Opus 4.5 measured |
| OSWorld | 66.3% | Not measured | Only Claude Opus 4.5 measured |
| Vending-Bench 2 | $4,967 | Not measured | Only Claude Opus 4.5 measured |
| Berkeley Function Calling Leaderboard (BFCL) | 77.5% | Not measured | Only Claude Opus 4.5 measured |
| Neither model has a result on the other 28 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | Claude Opus 4.5 | Hy3 | Leader |
|---|---|---|---|
| GPQA Diamond | 85.9% | Not measured | Only Claude Opus 4.5 measured |
| MMMU Pro (Vals AI) | 83.0% | Not measured | Only Claude Opus 4.5 measured |
| GPQA Diamond (Artificial Analysis run) | 86.6% | 89.7% | Hy3 |
| Humanity's Last Exam (Artificial Analysis run) | 30.1% | 33.5% | Hy3 |
| GPQA Diamond (Epoch AI run) | 86.0% | Not measured | Only Claude Opus 4.5 measured |
| ARC-AGI | 80.0% | Not measured | Only Claude Opus 4.5 measured |
| ARC-AGI-2 | 37.6% | Not measured | Only Claude Opus 4.5 measured |
| SimpleBench | 62.0% | Not measured | Only Claude Opus 4.5 measured |
| Chess puzzles | 14.0% | Not measured | Only Claude Opus 4.5 measured |
| Mystery game puzzles | 22.0% | Not measured | Only Claude Opus 4.5 measured |
| EBR-bench | 14.3% | Not measured | Only Claude Opus 4.5 measured |
| VPCT | 40.0% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: hard prompts | 1476 | 1447 | Claude Opus 4.5 |
| LMArena Text: expert | 1487 | 1461 | Claude Opus 4.5 |
| LMArena Text: hard prompts in English | 1482 | 1455 | Claude Opus 4.5 |
| Kagi LLM Benchmark | 80.2% | Not measured | Only Claude Opus 4.5 measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Opus 4.5 | Hy3 | Leader |
|---|---|---|---|
| AIME | 95.4% | Not measured | Only Claude Opus 4.5 measured |
| MGSM (Vals AI) | 95.2% | Not measured | Only Claude Opus 4.5 measured |
| AA Math Index | 91.3 | Not measured | Only Claude Opus 4.5 measured |
| AIME 2025 (Artificial Analysis run) | 91.3% | Not measured | Only Claude Opus 4.5 measured |
| OTIS Mock AIME | 86.1% | Not measured | Only Claude Opus 4.5 measured |
| FrontierMath, tiers 1 to 3 | 34.4% | Not measured | Only Claude Opus 4.5 measured |
| FrontierMath, tier 4 | 4.9% | Not measured | Only Claude Opus 4.5 measured |
| ProofBench | 36.0% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: math | 1463 | 1473 | Hy3 |
| LMArena Text: mathematical work | 1468 | 1482 | Hy3 |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | Claude Opus 4.5 | Hy3 | Leader |
|---|---|---|---|
| MMLU Pro | 87.3% | Not measured | Only Claude Opus 4.5 measured |
| LegalBench (Vals AI) | 84.6% | Not measured | Only Claude Opus 4.5 measured |
| CaseLaw (Vals AI) | 62.6% | Not measured | Only Claude Opus 4.5 measured |
| CorpFin (Vals AI) | 65.1% | Not measured | Only Claude Opus 4.5 measured |
| TaxEval (Vals AI) | 74.9% | Not measured | Only Claude Opus 4.5 measured |
| MortgageTax (Vals AI) | 68.7% | Not measured | Only Claude Opus 4.5 measured |
| MedQA (Vals AI) | 95.9% | Not measured | Only Claude Opus 4.5 measured |
| MedCode (Vals AI) | 49.2% | Not measured | Only Claude Opus 4.5 measured |
| MMLU Pro (Artificial Analysis run) | 89.5% | Not measured | Only Claude Opus 4.5 measured |
| SimpleQA Verified | 45.7% | Not measured | Only Claude Opus 4.5 measured |
| GeoBench | 75.0% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: science | 1454 | 1457 | Hy3 |
| LMArena Text: medicine and healthcare | 1444 | 1452 | Hy3 |
| LMArena Text: legal and government | 1459 | 1422 | Claude Opus 4.5 |
| LMArena Text: business and finance | 1448 | 1424 | Claude Opus 4.5 |
| FACTS Benchmark Suite | 43.9% | Not measured | Only Claude Opus 4.5 measured |
| Neither model has a result on the other 2 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index62
| Benchmark | Claude Opus 4.5 | Hy3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1247 | 1230 | Claude Opus 4.5 |
| Design Arena: UI components | 1235 | 1204 | Claude Opus 4.5 |
| Design Arena: game dev | 1228 | 1208 | Claude Opus 4.5 |
| Design Arena: data viz | 1243 | 1164 | Claude Opus 4.5 |
| Design Arena: 3D | 1213 | 1232 | Hy3 |
| Design Arena: all code categories | 1242 | 1227 | Claude Opus 4.5 |
| Design Arena: SVG | 1180 | 1200 | Hy3 |
| Design Arena: ASCII art | 1190 | 1152 | Claude Opus 4.5 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index153
| Benchmark | Claude Opus 4.5 | Hy3 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 52.1% | Not measured | Only Claude Opus 4.5 measured |
| MedScribe (Vals AI) | 85.3% | Not measured | Only Claude Opus 4.5 measured |
| IFBench | 58.0% | Not measured | Only Claude Opus 4.5 measured |
| Long context reasoning (AA-LCR) | 77.3% | 79.0% | Hy3 |
| DTBench | 89.9% | Not measured | Only Claude Opus 4.5 measured |
| LMCA | 44.5% | Not measured | Only Claude Opus 4.5 measured |
| CL-bench | 21.1% | Not measured | Only Claude Opus 4.5 measured |
| Furniture assembly | 28.3% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text | 1451 | 1438 | Claude Opus 4.5 |
| LMArena Text: instruction following | 1478 | 1426 | Claude Opus 4.5 |
| LMArena Text: creative writing | 1445 | 1403 | Claude Opus 4.5 |
| LMArena Text: English | 1461 | 1448 | Claude Opus 4.5 |
| LMArena Text: non-English | 1438 | 1426 | Claude Opus 4.5 |
| LMArena Text: Chinese | 1470 | 1485 | Hy3 |
| LMArena Text: German | 1449 | 1449 | Claude Opus 4.5 |
| LMArena Text: Japanese | 1417 | 1397 | Claude Opus 4.5 |
| LMArena Text: Korean | 1424 | 1396 | Claude Opus 4.5 |
| LMArena Text: French | 1471 | 1456 | Claude Opus 4.5 |
| LMArena Text: Spanish | 1457 | 1457 | Claude Opus 4.5 |
| LMArena Text: Russian | 1447 | 1432 | Claude Opus 4.5 |
| LMArena Text: Polish | 1439 | 1447 | Hy3 |
| LMArena Text: multi-turn | 1466 | 1436 | Claude Opus 4.5 |
| LMArena Text: longer queries | 1479 | 1442 | Claude Opus 4.5 |
| LMArena Text: writing and language | 1452 | 1414 | Claude Opus 4.5 |
| LMArena Text: entertainment and media | 1434 | 1400 | Claude Opus 4.5 |
| LMArena Document | 1462 | Not measured | Only Claude Opus 4.5 measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.5 | Hy3 | Leader |
|---|---|---|---|
| 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
Hy3 costs less
Repository review
50K input + 3K output tokens
Hy3 costs less
Agent loop
200K input + 10K output tokens
Hy3 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.
| Specification | Anthropic Claude Opus 4.5 | Tencent Hy3 |
|---|---|---|
| Maker | Anthropic | Tencent |
| Weights | No public weights listed | Open weights |
| Released | November 24, 2025 | July 6, 2026 |
| Context window | 200K | 262K |
| Input $/Mtok | $5.00 | $0.132 |
| Output $/Mtok | $25.00 | $0.528 |
| Coding index | 44.0 | Not benchmarked |
| Independent measurements behind it | 3 | 1 |
| Cost per solved task | $1.37 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.5 better than Hy3 for coding?
Only Claude Opus 4.5 has a coding score, 44.0 on the Vibe Coding Index; Hy3 has none, so the two cannot be ranked on coding. Pick Hy3 for output tokens 47.3x cheaper ($0.528 vs $25.00 per million) and a larger context window (262K against 200K tokens).
Which is cheaper, Claude Opus 4.5 or Hy3?
Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; Hy3 costs $0.132 and $0.528. Cost per solved task is known for Claude Opus 4.5 only.
Which has the bigger context window, Claude Opus 4.5 or Hy3?
Hy3, with 262K tokens against 200K.
How many benchmarks is the Claude Opus 4.5 vs Hy3 comparison based on?
42 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.5's coding index rests on 3 independent benchmarks and Hy3's on 1. Where only one model has a result, the page says so instead of naming a winner.