GPT-4 vs Hy3
Updated October 21, 2026. 29 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Hy3 for coding: it scores 43.9 on the Vibe Coding Index against 22.4 for GPT-4.
GPT-4 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
- Shared results
- 29
- GPT-4 only
- 16
- Hy3 only
- 15
- Like-for-like categories
- 5 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
Hy3
Hy3 scores 43.9 against 22.4.
One benchmark behind each score
Intelligence
AA Intelligence Index
No call
Only GPT-4 has a AA Intelligence Index result, 6.7.
Directional only
Web design
Design Arena: websites
No call
Only Hy3 has a Design Arena: websites result, 1230.
Directional only
Long documents
Listed context window
Hy3
Hy3 takes 262K tokens against 8K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy3
GPT-4 $0.060, Hy3 $0.0004 per turn.
List prices
At a glance
- Coding index
- GPT-4 22.4 from 1 benchmark, Hy3 43.9 from 1 benchmark.
- Widest category
- Reasoning, 47.3 points apart on average over 4 shared benchmarks.
- Widest single gap
- GPQA Diamond (Artificial Analysis run): GPT-4 34.9% against Hy3 89.7%, 54.8 points apart on a 0 to 100 scale.
- Output price
- GPT-4 $60.00 against Hy3 $0.528 per million output tokens, 113.6x apart.
- Context window
- GPT-4 takes 8K 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-4 | Bars | Hy3 | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Reasoning | 0 | 4 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 17 | ||
| All shared boards | 0 | 29 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index02
| Benchmark | GPT-4 | Hy3 | Leader |
|---|---|---|---|
| SWE-bench Verified | 22.4% | Not measured | Only GPT-4 measured |
| SWE-bench Lite | 39.7% | Not measured | Only GPT-4 measured |
| SWE-bench (full test set) | 12.5% | Not measured | Only GPT-4 measured |
| LMArena WebDev | Not measured | 1507 | Only Hy3 measured |
| AA Coding Index | 13.1 | Not measured | Only GPT-4 measured |
| SciCode | Not measured | 48.6% | Only Hy3 measured |
| ALE-Bench | Not measured | 838.6 | Only Hy3 measured |
| LMArena Text: coding | 1209 | 1466 | Hy3 |
| LMArena Text: software and IT | 1195 | 1463 | Hy3 |
| LMArena WebDev: React | Not measured | 1511 | Only Hy3 measured |
| LMArena WebDev: HTML | Not measured | 1487 | Only Hy3 measured |
| Neither model has a result on the other 27 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | GPT-4 | Hy3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 6.7 | Not measured | Only GPT-4 measured |
| Epoch Capabilities Index | 125.7 | Not measured | Only GPT-4 measured |
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4 | Hy3 | Leader |
|---|---|---|---|
| Neither model has a result on 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | GPT-4 | Hy3 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 34.9% | 89.7% | Hy3 |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 33.5% | Only Hy3 measured |
| BIG-Bench Hard | 75.1% | Not measured | Only GPT-4 measured |
| LMArena Text: hard prompts | 1200 | 1447 | Hy3 |
| LMArena Text: expert | 1149 | 1461 | Hy3 |
| LMArena Text: hard prompts in English | 1209 | 1455 | Hy3 |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GPT-4 | Hy3 | Leader |
|---|---|---|---|
| GSM8K | 92.0% | Not measured | Only GPT-4 measured |
| LMArena Text: math | 1230 | 1473 | Hy3 |
| LMArena Text: mathematical work | 1228 | 1482 | Hy3 |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | GPT-4 | Hy3 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 56.2% | Not measured | Only GPT-4 measured |
| MMLU | 86.4% | Not measured | Only GPT-4 measured |
| AI2 Reasoning Challenge | 96.3% | Not measured | Only GPT-4 measured |
| LMArena Text: science | 1177 | 1457 | Hy3 |
| LMArena Text: medicine and healthcare | 1145 | 1452 | Hy3 |
| LMArena Text: legal and government | 1191 | 1422 | Hy3 |
| LMArena Text: business and finance | 1145 | 1424 | Hy3 |
| Neither model has a result on the other 10 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | GPT-4 | Hy3 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1230 | Only Hy3 measured |
| Design Arena: UI components | Not measured | 1205 | Only Hy3 measured |
| Design Arena: game dev | Not measured | 1208 | Only Hy3 measured |
| Design Arena: data viz | Not measured | 1163 | Only Hy3 measured |
| Design Arena: 3D | Not measured | 1233 | Only Hy3 measured |
| Design Arena: all code categories | Not measured | 1227 | Only Hy3 measured |
| Design Arena: SVG | Not measured | 1199 | Only Hy3 measured |
| Design Arena: ASCII art | Not measured | 1157 | Only Hy3 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index017
| Benchmark | GPT-4 | Hy3 | Leader |
|---|---|---|---|
| IFBench | 33.2% | Not measured | Only GPT-4 measured |
| Long context reasoning (AA-LCR) | Not measured | 79.0% | Only Hy3 measured |
| DTBench | 62.7% | Not measured | Only GPT-4 measured |
| LMCA | 17.1% | Not measured | Only GPT-4 measured |
| HellaSwag | 95.3% | Not measured | Only GPT-4 measured |
| WinoGrande | 87.5% | Not measured | Only GPT-4 measured |
| LMArena Text | 1206 | 1438 | Hy3 |
| LMArena Text: instruction following | 1201 | 1426 | Hy3 |
| LMArena Text: creative writing | 1191 | 1403 | Hy3 |
| LMArena Text: English | 1220 | 1448 | Hy3 |
| LMArena Text: non-English | 1194 | 1426 | Hy3 |
| LMArena Text: Chinese | 1184 | 1485 | Hy3 |
| LMArena Text: German | 1198 | 1449 | Hy3 |
| LMArena Text: Japanese | 1137 | 1397 | Hy3 |
| LMArena Text: Korean | 1087 | 1396 | Hy3 |
| LMArena Text: French | 1220 | 1456 | Hy3 |
| LMArena Text: Spanish | 1197 | 1457 | Hy3 |
| LMArena Text: Russian | 1195 | 1432 | Hy3 |
| LMArena Text: Polish | 1265 | 1447 | Hy3 |
| LMArena Text: multi-turn | 1206 | 1436 | Hy3 |
| LMArena Text: longer queries | 1190 | 1442 | Hy3 |
| LMArena Text: writing and language | 1219 | 1414 | Hy3 |
| LMArena Text: entertainment and media | 1184 | 1400 | Hy3 |
| Neither model has a result on the other 23 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4 | 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-4 | Tencent Hy3 |
|---|---|---|
| Maker | OpenAI | Tencent |
| Weights | No public weights listed | Open weights |
| Released | May 28, 2023 | July 6, 2026 |
| Context window | 8K | 262K |
| Input $/Mtok | $30.00 | $0.132 |
| Output $/Mtok | $60.00 | $0.528 |
| Coding index | 22.4 | 43.9 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-4 better than Hy3 for coding?
Pick Hy3 for coding: it scores 43.9 on the Vibe Coding Index against 22.4 for GPT-4. GPT-4 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, GPT-4 or Hy3?
GPT-4 costs $30.00 per million input tokens and $60.00 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-4 or Hy3?
Hy3, with 262K tokens against 8K.
How many benchmarks is the GPT-4 vs Hy3 comparison based on?
29 benchmarks have a result for both models as of October 21, 2026. GPT-4's coding index rests on 1 independent benchmark and Hy3's on 1. Where only one model has a result, the page says so instead of naming a winner.