GPT-6 Luna vs Hy4
Hy4 leads GPT-6 Luna on coding, 65.2 to 57.4 on the Vibe Coding Index, and GPT-6 Luna costs 2.5x less per output token ($0.50 vs $1.2505 per million). Updated November 5, 2026; 6 benchmarks have a result for both.
GPT-6 Luna or Hy4: which to pick
Pick Hy4 for coding: it scores 65.2 on the Vibe Coding Index against 57.4 for GPT-6 Luna, though on 2 benchmarks against 5.
Pick GPT-6 Luna for output tokens 2.5x cheaper ($0.50 vs $1.2505 per million) and a larger context window (1.05M against 1.05M tokens).
- Shared results
- 6
- GPT-6 Luna only
- 102
- Hy4 only
- 0
- Like-for-like categories
- 3 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
Hy4
Hy4 scores 65.2 against 57.4.
5 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only GPT-6 Luna has a AA Intelligence Index result, 27.9.
Directional only
Web design
Design Arena: websites
No call
Only GPT-6 Luna has a Design Arena: websites result, 1268.
Directional only
General
Vals Index
Hy4
Hy4 leads, 59.4% against 52.3%.
Same board, both measured
Long documents
Listed context window
GPT-6 Luna
GPT-6 Luna takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-6 Luna
GPT-6 Luna $0.0003, Hy4 $0.0010 per turn.
List prices
At a glance
- Coding index
- GPT-6 Luna 57.4 from 5 benchmarks, Hy4 65.2 from 2 benchmarks.
- Widest category
- Coding, 17.5 points apart on average over 2 shared benchmarks.
- Widest single gap
- Terminal-Bench 4 (Vals AI): GPT-6 Luna 13.6% against Hy4 39.4%, 34.3 points apart on a 0 to 100 scale.
- Output price
- GPT-6 Luna $0.50 against Hy4 $1.2505 per million output tokens, 2.5x apart.
- Context window
- GPT-6 Luna takes 1.05M 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.
| Category | GPT-6 Luna | Bars | Hy4 | Ties |
|---|---|---|---|---|
| Coding | 1 | 1 | ||
| Agentic work | 0 | 3 | ||
| General | 0 | 1 | ||
| All shared boards | 1 | 5 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index11
| Benchmark | GPT-6 Luna | Hy4 | Leader |
|---|---|---|---|
| LiveBench coding | 84.5% | Not measured | Only GPT-6 Luna measured |
| LMArena WebDev | 1579 | Not measured | Only GPT-6 Luna measured |
| Terminal-Bench 4 (Vals AI) | 13.6% | 39.4% | Hy4 |
| Vibe Code Bench (Vals AI) | 81.7% | 81.0% | GPT-6 Luna |
| Code migration (Vals AI) | 42.5% | Not measured | Only GPT-6 Luna measured |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only GPT-6 Luna measured |
| IOI (Vals AI) | 55.6% | Not measured | Only GPT-6 Luna measured |
| Terminal-Bench 2.1 (Vals AI) | 73.0% | Not measured | Only GPT-6 Luna measured |
| SWE-bench Multimodal (Vals AI) | 37.5% | Not measured | Only GPT-6 Luna measured |
| CyberBench (Vals AI) | 76.3% | Not measured | Only GPT-6 Luna measured |
| SciCode | 54.6% | Not measured | Only GPT-6 Luna measured |
| FrontierCode | 42.4% | Not measured | Only GPT-6 Luna measured |
| MirrorCode | 26.7% | Not measured | Only GPT-6 Luna measured |
| ALE-Bench | 1576.9 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: coding | 1437 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: software and IT | 1425 | Not measured | Only GPT-6 Luna measured |
| LMArena WebDev: React | 1575 | Not measured | Only GPT-6 Luna measured |
| LMArena WebDev: HTML | 1595 | Not measured | Only GPT-6 Luna measured |
| LMArena WebDev: from an image | 1571 | Not measured | Only GPT-6 Luna measured |
| GameBench 2 | 55.8 | Not measured | Only GPT-6 Luna measured |
| Terminal-Bench 4.0 | 16.4% | Not measured | Only GPT-6 Luna measured |
| Neither model has a result on the other 29 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | GPT-6 Luna | Hy4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 27.9 | Not measured | Only GPT-6 Luna measured |
| Epoch Capabilities Index | 156.7 | Not measured | Only GPT-6 Luna measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | GPT-6 Luna | Hy4 | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1164 | Not measured | Only GPT-6 Luna measured |
| Design Arena: agents building full-stack apps | 1154 | Not measured | Only GPT-6 Luna measured |
| Design Arena: agents building mobile apps | 1123 | Not measured | Only GPT-6 Luna measured |
| LiveBench research | 43.5% | Not measured | Only GPT-6 Luna measured |
| LiveBench browser | 70.3% | Not measured | Only GPT-6 Luna measured |
| LiveBench long agentic | 30.9% | Not measured | Only GPT-6 Luna measured |
| SREBench (Vals AI) | 2.7% | Not measured | Only GPT-6 Luna measured |
| Finance Agent (Vals AI) | 49.9% | Not measured | Only GPT-6 Luna measured |
| Tax Agent Bench (Vals AI) | 19.9% | 34.4% | Hy4 |
| Legal Research Bench (Vals AI) | 30.3% | 41.4% | Hy4 |
| Harvey's Legal Agent Benchmark (Vals AI) | 4.2% | 12.5% | Hy4 |
| Excel Modeling Benchmark (Vals AI) | 68.5% | Not measured | Only GPT-6 Luna measured |
| BioMysteryBench (Vals AI) | 61.5% | Not measured | Only GPT-6 Luna measured |
| Terminal-Bench-Science (Vals AI) | 4.3% | Not measured | Only GPT-6 Luna measured |
| Vals Science Index | 28.4% | Not measured | Only GPT-6 Luna measured |
| APEX-Agents | 44.3% | Not measured | Only GPT-6 Luna measured |
| SpireClimb | 0.0% | Not measured | Only GPT-6 Luna measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
| Benchmark | GPT-6 Luna | Hy4 | Leader |
|---|---|---|---|
| LiveBench reasoning | 81.8% | Not measured | Only GPT-6 Luna measured |
| MysteryMechanism (Vals AI) | 19.4% | Not measured | Only GPT-6 Luna measured |
| Humanity's Last Exam (Artificial Analysis run) | 38.5% | Not measured | Only GPT-6 Luna measured |
| GPQA Diamond (Epoch AI run) | 90.5% | Not measured | Only GPT-6 Luna measured |
| ARC-AGI | 86.7% | Not measured | Only GPT-6 Luna measured |
| ARC-AGI-2 | 59.3% | Not measured | Only GPT-6 Luna measured |
| Chess puzzles | 36.0% | Not measured | Only GPT-6 Luna measured |
| Mystery game puzzles | 7.0% | Not measured | Only GPT-6 Luna measured |
| LMArena Text: hard prompts | 1408 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: expert | 1441 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: hard prompts in English | 1410 | Not measured | Only GPT-6 Luna measured |
| LMArena Vision: diagrams | 1245 | Not measured | Only GPT-6 Luna measured |
| LMArena Vision: homework | 1261 | Not measured | Only GPT-6 Luna measured |
| GoBench | 1120 | Not measured | Only GPT-6 Luna measured |
| Neither model has a result on the other 10 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | GPT-6 Luna | Hy4 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.9% | Not measured | Only GPT-6 Luna measured |
| FrontierMath, tiers 1 to 3 | 78.9% | Not measured | Only GPT-6 Luna measured |
| FrontierMath, tier 4 | 56.1% | Not measured | Only GPT-6 Luna measured |
| ProofBench | 64.0% | Not measured | Only GPT-6 Luna measured |
| LMArena Text: math | 1410 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: mathematical work | 1429 | Not measured | Only GPT-6 Luna measured |
| Neither model has a result on the other 8 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | GPT-6 Luna | Hy4 | Leader |
|---|---|---|---|
| MedCode (Vals AI) | 44.7% | Not measured | Only GPT-6 Luna measured |
| SimpleQA Verified | 41.4% | Not measured | Only GPT-6 Luna measured |
| LMArena Text: science | 1387 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: medicine and healthcare | 1355 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: legal and government | 1396 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: business and finance | 1384 | Not measured | Only GPT-6 Luna measured |
| FACTS Benchmark Suite | 62.3% | Not measured | Only GPT-6 Luna measured |
| PRBench Legal | 42.9% | Not measured | Only GPT-6 Luna measured |
| Neither model has a result on the other 12 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | GPT-6 Luna | Hy4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1268 | Not measured | Only GPT-6 Luna measured |
| Design Arena: UI components | 1291 | Not measured | Only GPT-6 Luna measured |
| Design Arena: game dev | 1261 | Not measured | Only GPT-6 Luna measured |
| Design Arena: data viz | 1212 | Not measured | Only GPT-6 Luna measured |
| Design Arena: 3D | 1213 | Not measured | Only GPT-6 Luna measured |
| Design Arena: all code categories | 1266 | Not measured | Only GPT-6 Luna measured |
| Design Arena: SVG | 1246 | Not measured | Only GPT-6 Luna measured |
| Design Arena: ASCII art | 1159 | Not measured | Only GPT-6 Luna measured |
| LiveBench design | 82.5% | Not measured | Only GPT-6 Luna measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-6 Luna | Hy4 | Leader |
|---|---|---|---|
| Vals Index | 52.3% | 59.4% | Hy4 |
| LiveBench data analysis | 73.4% | Not measured | Only GPT-6 Luna measured |
| Public Benefits Bench (Vals AI) | 57.6% | Not measured | Only GPT-6 Luna measured |
| SAGE (Vals AI) | 83.4% | Not measured | Only GPT-6 Luna measured |
| MedScribe (Vals AI) | 83.7% | Not measured | Only GPT-6 Luna measured |
| Long context reasoning (AA-LCR) | 83.3% | Not measured | Only GPT-6 Luna measured |
| DTBench | 90.1% | Not measured | Only GPT-6 Luna measured |
| LMCA | 44.5% | Not measured | Only GPT-6 Luna measured |
| Furniture assembly | 44.2% | Not measured | Only GPT-6 Luna measured |
| LMArena Text | 1389 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: instruction following | 1406 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: creative writing | 1362 | Not measured | Only GPT-6 Luna measured |
| LMArena Vision | 1216 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: English | 1394 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: non-English | 1380 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: Chinese | 1430 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: German | 1378 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: Japanese | 1368 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: Korean | 1356 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: French | 1406 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: Spanish | 1391 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: Russian | 1390 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: Polish | 1380 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: multi-turn | 1393 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: longer queries | 1407 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: writing and language | 1383 | Not measured | Only GPT-6 Luna measured |
| LMArena Text: entertainment and media | 1362 | Not measured | Only GPT-6 Luna measured |
| LMArena Vision: English | 1204 | Not measured | Only GPT-6 Luna measured |
| LMArena Vision: Chinese | 1266 | Not measured | Only GPT-6 Luna measured |
| LMArena Vision: reading text | 1225 | Not measured | Only GPT-6 Luna measured |
| LMArena Vision: creative writing | 1205 | Not measured | Only GPT-6 Luna measured |
| Neither model has a result on the other 17 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6 Luna | Hy4 | 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
GPT-6 Luna costs less
Repository review
50K input + 3K output tokens
GPT-6 Luna costs less
Agent loop
200K input + 10K output tokens
GPT-6 Luna 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 Luna | Tencent Hy4 |
|---|---|---|
| Maker | OpenAI | Tencent |
| Weights | No public weights listed | Open weights |
| Released | September 22, 2026 | November 4, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.10 | $0.417 |
| Output $/Mtok | $0.50 | $1.2505 |
| Coding index | 57.4 | 65.2 |
| Independent measurements behind it | 5 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-6 Luna better than Hy4 for coding?
Pick Hy4 for coding: it scores 65.2 on the Vibe Coding Index against 57.4 for GPT-6 Luna, though on 2 benchmarks against 5. Pick GPT-6 Luna for output tokens 2.5x cheaper ($0.50 vs $1.2505 per million) and a larger context window (1.05M against 1.05M tokens).
Which is cheaper, GPT-6 Luna or Hy4?
GPT-6 Luna costs $0.10 per million input tokens and $0.50 per million output tokens; Hy4 costs $0.417 and $1.2505. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-6 Luna or Hy4?
GPT-6 Luna, with 1.05M tokens against 1.05M.
How many benchmarks is the GPT-6 Luna vs Hy4 comparison based on?
6 benchmarks have a result for both models as of November 5, 2026. GPT-6 Luna's coding index rests on 5 independent benchmarks and Hy4's on 2. Where only one model has a result, the page says so instead of naming a winner.