GPT-6.1 Sol vs Hy3
Updated October 21, 2026. 37 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick GPT-6.1 Sol for coding: it scores 88.7 on the Vibe Coding Index against 43.9 for Hy3.
Pick Hy3 when output tokens cost 18.9x less, or when what matters is LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.
- Shared results
- 37
- GPT-6.1 Sol only
- 58
- Hy3 only
- 7
- Like-for-like categories
- 6 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
GPT-6.1 Sol
GPT-6.1 Sol scores 88.7 against 43.9.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only GPT-6.1 Sol has a AA Intelligence Index result, 51.8.
Directional only
Web design
Design Arena: websites
GPT-6.1 Sol
GPT-6.1 Sol leads, 1321 against 1230.
Same board, both measured
General
Vals Index
No call
Only GPT-6.1 Sol has a Vals Index result, 63.9%.
Directional only
Long documents
Listed context window
GPT-6.1 Sol
GPT-6.1 Sol takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy3
GPT-6.1 Sol $0.0070, Hy3 $0.0004 per turn.
List prices
At a glance
- Coding index
- GPT-6.1 Sol 88.7 from 2 benchmarks, Hy3 43.9 from 1 benchmark.
- Widest category
- Coding, 20.5 points apart on average over 7 shared benchmarks.
- Widest single gap
- ALE-Bench: GPT-6.1 Sol 2743.8 against Hy3 838.6, 63.5 points apart on a 0 to 100 scale.
- Output price
- GPT-6.1 Sol $10.00 against Hy3 $0.528 per million output tokens, 18.9x apart.
- Context window
- GPT-6.1 Sol takes 1.05M 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 | GPT-6.1 Sol | Bars | Hy3 | Ties |
|---|---|---|---|---|
| Coding | 7 | 0 | ||
| Reasoning | 4 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 2 | 2 | ||
| Web design | 6 | 0 | ||
| General | 13 | 1 | ||
| All shared boards | 34 | 3 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index70
| Benchmark | GPT-6.1 Sol | Hy3 | Leader |
|---|---|---|---|
| LiveBench coding | 96.0% | Not measured | Only GPT-6.1 Sol measured |
| LMArena WebDev | 1753 | 1507 | GPT-6.1 Sol |
| Terminal-Bench 4 (Vals AI) | 55.0% | Not measured | Only GPT-6.1 Sol measured |
| Vibe Code Bench (Vals AI) | 88.9% | Not measured | Only GPT-6.1 Sol measured |
| Code migration (Vals AI) | 65.1% | Not measured | Only GPT-6.1 Sol measured |
| ProgramBench (Vals AI) | 3.0% | Not measured | Only GPT-6.1 Sol measured |
| IOI (Vals AI) | 96.9% | Not measured | Only GPT-6.1 Sol measured |
| SWE-bench Multimodal (Vals AI) | 43.5% | Not measured | Only GPT-6.1 Sol measured |
| CyberBench (Vals AI) | 39.3% | Not measured | Only GPT-6.1 Sol measured |
| SciCode | 55.8% | 48.6% | GPT-6.1 Sol |
| FrontierCode | 50.2% | Not measured | Only GPT-6.1 Sol measured |
| ALE-Bench | 2743.8 | 838.6 | GPT-6.1 Sol |
| LMArena Text: coding | 1478 | 1466 | GPT-6.1 Sol |
| LMArena Text: software and IT | 1476 | 1463 | GPT-6.1 Sol |
| LMArena WebDev: React | 1754 | 1511 | GPT-6.1 Sol |
| LMArena WebDev: HTML | 1800 | 1487 | GPT-6.1 Sol |
| LMArena WebDev: from an image | 1702 | Not measured | Only GPT-6.1 Sol measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | GPT-6.1 Sol | Hy3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 51.8 | Not measured | Only GPT-6.1 Sol measured |
| Epoch Capabilities Index | 168.4 | Not measured | Only GPT-6.1 Sol measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
| Benchmark | GPT-6.1 Sol | Hy3 | Leader |
|---|---|---|---|
| Design Arena: agents building mobile apps | 1190 | Not measured | Only GPT-6.1 Sol measured |
| Design Arena: spreadsheets | 1250 | Not measured | Only GPT-6.1 Sol measured |
| LiveBench research | 83.5% | Not measured | Only GPT-6.1 Sol measured |
| LiveBench browser | 88.0% | Not measured | Only GPT-6.1 Sol measured |
| LiveBench long agentic | 73.0% | Not measured | Only GPT-6.1 Sol measured |
| SREBench (Vals AI) | 50.8% | Not measured | Only GPT-6.1 Sol measured |
| Finance Agent (Vals AI) | 52.0% | Not measured | Only GPT-6.1 Sol measured |
| Tax Agent Bench (Vals AI) | 21.8% | Not measured | Only GPT-6.1 Sol measured |
| Legal Research Bench (Vals AI) | 38.5% | Not measured | Only GPT-6.1 Sol measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 6.3% | Not measured | Only GPT-6.1 Sol measured |
| Excel Modeling Benchmark (Vals AI) | 70.8% | Not measured | Only GPT-6.1 Sol measured |
| BioMysteryBench (Vals AI) | 79.6% | Not measured | Only GPT-6.1 Sol measured |
| Terminal-Bench-Science (Vals AI) | 52.9% | Not measured | Only GPT-6.1 Sol measured |
| Vals Science Index | 59.6% | Not measured | Only GPT-6.1 Sol measured |
| Robo-bench (Vals AI) | 28.3% | Not measured | Only GPT-6.1 Sol measured |
| APEX-Agents | 60.0% | Not measured | Only GPT-6.1 Sol measured |
| SpireClimb | 24.7% | Not measured | Only GPT-6.1 Sol measured |
| Neither model has a result on the other 22 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | GPT-6.1 Sol | Hy3 | Leader |
|---|---|---|---|
| LiveBench reasoning | 92.6% | Not measured | Only GPT-6.1 Sol measured |
| MysteryMechanism (Vals AI) | 46.4% | Not measured | Only GPT-6.1 Sol measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 89.7% | Only Hy3 measured |
| Humanity's Last Exam (Artificial Analysis run) | 52.9% | 33.5% | GPT-6.1 Sol |
| GPQA Diamond (Epoch AI run) | 95.4% | Not measured | Only GPT-6.1 Sol measured |
| ARC-AGI | 98.5% | Not measured | Only GPT-6.1 Sol measured |
| ARC-AGI-2 | 94.2% | Not measured | Only GPT-6.1 Sol measured |
| Chess puzzles | 68.0% | Not measured | Only GPT-6.1 Sol measured |
| Mystery game puzzles | 80.0% | Not measured | Only GPT-6.1 Sol measured |
| EBR-bench | 54.3% | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: hard prompts | 1463 | 1447 | GPT-6.1 Sol |
| LMArena Text: expert | 1489 | 1461 | GPT-6.1 Sol |
| LMArena Text: hard prompts in English | 1465 | 1455 | GPT-6.1 Sol |
| LMArena Vision: diagrams | 1306 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Vision: homework | 1356 | Not measured | Only GPT-6.1 Sol measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-6.1 Sol | Hy3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | Not measured | Only GPT-6.1 Sol measured |
| FrontierMath, tiers 1 to 3 | 93.7% | Not measured | Only GPT-6.1 Sol measured |
| FrontierMath, tier 4 | 100.0% | Not measured | Only GPT-6.1 Sol measured |
| ProofBench | 99.0% | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: math | 1489 | 1473 | GPT-6.1 Sol |
| LMArena Text: mathematical work | 1513 | 1482 | GPT-6.1 Sol |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | GPT-6.1 Sol | Hy3 | Leader |
|---|---|---|---|
| MedCode (Vals AI) | 48.8% | Not measured | Only GPT-6.1 Sol measured |
| SimpleQA Verified | 73.9% | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: science | 1444 | 1457 | Hy3 |
| LMArena Text: medicine and healthcare | 1433 | 1452 | Hy3 |
| LMArena Text: legal and government | 1471 | 1422 | GPT-6.1 Sol |
| LMArena Text: business and finance | 1445 | 1424 | GPT-6.1 Sol |
| Neither model has a result on the other 11 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | GPT-6.1 Sol | Hy3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1321 | 1230 | GPT-6.1 Sol |
| Design Arena: UI components | 1321 | 1205 | GPT-6.1 Sol |
| Design Arena: game dev | 1389 | 1208 | GPT-6.1 Sol |
| Design Arena: data viz | 1278 | 1163 | GPT-6.1 Sol |
| Design Arena: 3D | 1461 | 1233 | GPT-6.1 Sol |
| Design Arena: all code categories | 1345 | 1227 | GPT-6.1 Sol |
| Design Arena: SVG | Not measured | 1199 | Only Hy3 measured |
| Design Arena: ASCII art | Not measured | 1157 | Only Hy3 measured |
| LiveBench design | 82.1% | Not measured | Only GPT-6.1 Sol measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index131
| Benchmark | GPT-6.1 Sol | Hy3 | Leader |
|---|---|---|---|
| Vals Index | 63.9% | Not measured | Only GPT-6.1 Sol measured |
| LiveBench data analysis | 82.7% | Not measured | Only GPT-6.1 Sol measured |
| Public Benefits Bench (Vals AI) | 59.3% | Not measured | Only GPT-6.1 Sol measured |
| SAGE (Vals AI) | 46.5% | Not measured | Only GPT-6.1 Sol measured |
| MedScribe (Vals AI) | 86.5% | Not measured | Only GPT-6.1 Sol measured |
| Long context reasoning (AA-LCR) | 84.0% | 79.0% | GPT-6.1 Sol |
| DTBench | 96.5% | Not measured | Only GPT-6.1 Sol measured |
| LMCA | 62.8% | Not measured | Only GPT-6.1 Sol measured |
| Furniture assembly | 80.0% | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text | 1443 | 1438 | GPT-6.1 Sol |
| LMArena Text: instruction following | 1466 | 1426 | GPT-6.1 Sol |
| LMArena Text: creative writing | 1425 | 1403 | GPT-6.1 Sol |
| LMArena Vision | 1288 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Text: English | 1450 | 1448 | GPT-6.1 Sol |
| LMArena Text: non-English | 1433 | 1426 | GPT-6.1 Sol |
| LMArena Text: Chinese | 1487 | 1485 | GPT-6.1 Sol |
| LMArena Text: German | Not measured | 1449 | Only Hy3 measured |
| LMArena Text: Japanese | Not measured | 1397 | Only Hy3 measured |
| LMArena Text: Korean | Not measured | 1396 | Only Hy3 measured |
| LMArena Text: French | 1460 | 1456 | GPT-6.1 Sol |
| LMArena Text: Spanish | 1439 | 1457 | Hy3 |
| LMArena Text: Russian | 1457 | 1432 | GPT-6.1 Sol |
| LMArena Text: Polish | Not measured | 1447 | Only Hy3 measured |
| LMArena Text: multi-turn | 1442 | 1436 | GPT-6.1 Sol |
| LMArena Text: longer queries | 1458 | 1442 | GPT-6.1 Sol |
| LMArena Text: writing and language | 1444 | 1414 | GPT-6.1 Sol |
| LMArena Text: entertainment and media | 1426 | 1400 | GPT-6.1 Sol |
| LMArena Vision: English | 1274 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Vision: reading text | 1289 | Not measured | Only GPT-6.1 Sol measured |
| LMArena Vision: creative writing | 1301 | Not measured | Only GPT-6.1 Sol measured |
| Neither model has a result on the other 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6.1 Sol | 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 | OpenAI GPT-6.1 Sol | Tencent Hy3 |
|---|---|---|
| Maker | OpenAI | Tencent |
| Weights | No public weights listed | Open weights |
| Released | September 29, 2026 | July 6, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $2.00 | $0.132 |
| Output $/Mtok | $10.00 | $0.528 |
| Coding index | 88.7 | 43.9 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-6.1 Sol better than Hy3 for coding?
Pick GPT-6.1 Sol for coding: it scores 88.7 on the Vibe Coding Index against 43.9 for Hy3. Pick Hy3 when output tokens cost 18.9x less, or when what matters is LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.
Which is cheaper, GPT-6.1 Sol or Hy3?
GPT-6.1 Sol costs $2.00 per million input tokens and $10.00 per million output tokens; Hy3 costs $0.132 and $0.528. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-6.1 Sol or Hy3?
GPT-6.1 Sol, with 1.05M tokens against 262K.
How many benchmarks is the GPT-6.1 Sol vs Hy3 comparison based on?
37 benchmarks have a result for both models as of October 21, 2026. GPT-6.1 Sol's coding index rests on 2 independent benchmarks and Hy3's on 1. Where only one model has a result, the page says so instead of naming a winner.