Gemini 3.7 Flash vs Hy4
Hy4 leads Gemini 3.7 Flash on coding, 65.2 to 54.0 on the Vibe Coding Index, and Hy4 costs 3.0x less per output token ($1.2505 vs $3.75 per million). Updated November 5, 2026; 4 benchmarks have a result for both.
vs boards won of 4 shared
Gemini 3.7 Flash or Hy4: which to pick
Pick Hy4 for coding: it scores 65.2 on the Vibe Coding Index against 54.0 for Gemini 3.7 Flash, though on 2 benchmarks against 5.
Gemini 3.7 Flash is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Model AGemini 3.7 FlashGoogle54.0/1005 independent benchmarks$1.78 per solved taskModel BHy4Tencent65.2/1002 independent benchmarksNo cost per solved task
- Shared results
- 4
- Gemini 3.7 Flash only
- 106
- Hy4 only
- 2
- 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.
Coding
Vibe Coding Index, six public coding benchmarks
Hy4
Hy4 scores 65.2 against 54.0.
5 and 2 benchmarks behind the scores
Agentic work
AA Agentic Index
No call
Only Gemini 3.7 Flash has a AA Agentic Index result, 35.2.
Directional only
Reasoning
GPQA Diamond
No call
Only Gemini 3.7 Flash has a GPQA Diamond result, 93.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.7 Flash has a MMLU Pro result, 90.1%.
Directional only
Web design
Design Arena: websites
No call
Only Gemini 3.7 Flash has a Design Arena: websites result, 1303.
Directional only
General
Vals Index
No call
Only Hy4 has a Vals Index result, 59.4%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy4
Gemini 3.7 Flash $0.0026, Hy4 $0.0010 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.7 Flash has the number, $1.78.
Directional only
At a glance
- Coding index
- Gemini 3.7 Flash 54.0 from 5 benchmarks, Hy4 65.2 from 2 benchmarks.
- Widest category
- Coding, 23.5 points apart on average over 2 shared benchmarks.
- Widest single gap
- Terminal-Bench 4 (Vals AI): Gemini 3.7 Flash 12.1% against Hy4 39.4%, 36.4 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.7 Flash $3.75 against Hy4 $1.2505 per million output tokens, 3.0x apart.
- Context window
- Both take 1.05M tokens.
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 | Gemini 3.7 Flash | Bars | Hy4 | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Agentic work | 0 | 2 | ||
| All shared boards | 0 | 4 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
| Benchmark | Gemini 3.7 Flash | Hy4 | Leader |
|---|---|---|---|
| LMArena WebDev | 1590 | Not measured | Only Gemini 3.7 Flash measured |
| AA Coding Index | 76.1 | Not measured | Only Gemini 3.7 Flash measured |
| LiveCodeBench (Vals AI) | 88.7% | Not measured | Only Gemini 3.7 Flash measured |
| SWE-bench Verified (Vals AI) | 80.8% | Not measured | Only Gemini 3.7 Flash measured |
| Terminal-Bench 4 (Vals AI) | 12.1% | 39.4% | Hy4 |
| Vibe Code Bench (Vals AI) | 70.4% | 81.0% | Hy4 |
| Code migration (Vals AI) | 34.8% | Not measured | Only Gemini 3.7 Flash measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.7 Flash measured |
| IOI (Vals AI) | 67.8% | Not measured | Only Gemini 3.7 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | 77.5% | Not measured | Only Gemini 3.7 Flash measured |
| SkillsBench (Vals AI) | 65.9% | Not measured | Only Gemini 3.7 Flash measured |
| CyberBench (Vals AI) | 43.8% | Not measured | Only Gemini 3.7 Flash measured |
| SciCode | 59.8% | Not measured | Only Gemini 3.7 Flash measured |
| FrontierCode | 43.6% | Not measured | Only Gemini 3.7 Flash measured |
| FrontierSWE | 20.3% | Not measured | Only Gemini 3.7 Flash measured |
| MirrorCode | 41.1% | Not measured | Only Gemini 3.7 Flash measured |
| ALE-Bench | 904.3 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: coding | 1500 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: software and IT | 1499 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena WebDev: React | 1586 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena WebDev: HTML | 1591 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena WebDev: from an image | 1599 | Not measured | Only Gemini 3.7 Flash measured |
| SciCode | 13.8% | Not measured | Only Gemini 3.7 Flash measured |
| Terminal-Bench 4.0 | 11.2% | Not measured | Only Gemini 3.7 Flash measured |
| ProgramBench | 0.0% | Not measured | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 25 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Gemini 3.7 Flash | Hy4 | Leader |
|---|---|---|---|
| Epoch Capabilities Index | 158.4 | Not measured | Only Gemini 3.7 Flash 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
| Benchmark | Gemini 3.7 Flash | Hy4 | Leader |
|---|---|---|---|
| AA Agentic Index | 35.2 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building web apps | 1207 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building full-stack apps | 1207 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building mobile apps | 1231 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building Android apps | 1240 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building Godot games | 1264 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building games | 1181 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: spreadsheets | 1148 | Not measured | Only Gemini 3.7 Flash measured |
| SREBench (Vals AI) | 4.6% | Not measured | Only Gemini 3.7 Flash measured |
| Finance Agent (Vals AI) | 59.0% | Not measured | Only Gemini 3.7 Flash measured |
| Tax Agent Bench (Vals AI) | 22.8% | 34.4% | Hy4 |
| Legal Research Bench (Vals AI) | 34.6% | 41.4% | Hy4 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 12.5% | Only Hy4 measured |
| Excel Modeling Benchmark (Vals AI) | 71.3% | Not measured | Only Gemini 3.7 Flash measured |
| Terminal-Bench-Science (Vals AI) | 7.1% | Not measured | Only Gemini 3.7 Flash measured |
| APEX-Agents | 67.8% | Not measured | Only Gemini 3.7 Flash measured |
| Remote Labor Index | 5.0% | Not measured | Only Gemini 3.7 Flash 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 | Gemini 3.7 Flash | Hy4 | Leader |
|---|---|---|---|
| GPQA Diamond | 93.9% | Not measured | Only Gemini 3.7 Flash measured |
| MMMU Pro (Vals AI) | 89.0% | Not measured | Only Gemini 3.7 Flash measured |
| GPQA Diamond (Artificial Analysis run) | 94.5% | Not measured | Only Gemini 3.7 Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | 47.9% | Not measured | Only Gemini 3.7 Flash measured |
| GPQA Diamond (Epoch AI run) | 94.8% | Not measured | Only Gemini 3.7 Flash measured |
| ARC-AGI | 95.5% | Not measured | Only Gemini 3.7 Flash measured |
| ARC-AGI-2 | 84.6% | Not measured | Only Gemini 3.7 Flash measured |
| Chess puzzles | 66.0% | Not measured | Only Gemini 3.7 Flash measured |
| Mystery game puzzles | 37.0% | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: hard prompts | 1497 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: expert | 1514 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: hard prompts in English | 1489 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Vision: diagrams | 1329 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Vision: homework | 1320 | Not measured | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 10 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Gemini 3.7 Flash | Hy4 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 97.2% | Not measured | Only Gemini 3.7 Flash measured |
| FrontierMath, tiers 1 to 3 | 71.6% | Not measured | Only Gemini 3.7 Flash measured |
| FrontierMath, tier 4 | 36.6% | Not measured | Only Gemini 3.7 Flash measured |
| ProofBench | 58.0% | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: math | 1507 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: mathematical work | 1501 | Not measured | Only Gemini 3.7 Flash measured |
| MathArena | 25.7% | Not measured | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
| Benchmark | Gemini 3.7 Flash | Hy4 | Leader |
|---|---|---|---|
| MMLU Pro | 90.1% | Not measured | Only Gemini 3.7 Flash measured |
| LegalBench (Vals AI) | 87.3% | Not measured | Only Gemini 3.7 Flash measured |
| TaxEval (Vals AI) | 74.7% | Not measured | Only Gemini 3.7 Flash measured |
| MortgageTax (Vals AI) | 66.7% | Not measured | Only Gemini 3.7 Flash measured |
| MedCode (Vals AI) | 53.4% | Not measured | Only Gemini 3.7 Flash measured |
| SimpleQA Verified | 69.2% | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: science | 1511 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: medicine and healthcare | 1497 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: legal and government | 1497 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: business and finance | 1480 | Not measured | Only Gemini 3.7 Flash measured |
| FACTS Benchmark Suite | 65.4% | Not measured | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 9 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Gemini 3.7 Flash | Hy4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1303 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: UI components | 1294 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: game dev | 1319 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: data viz | 1316 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: 3D | 1305 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: all code categories | 1306 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: SVG | 1283 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: ASCII art | 1276 | Not measured | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index29 boards, none shared
| Benchmark | Gemini 3.7 Flash | Hy4 | Leader |
|---|---|---|---|
| Vals Index | Not measured | 59.4% | Only Hy4 measured |
| MedScribe (Vals AI) | 83.9% | Not measured | Only Gemini 3.7 Flash measured |
| Long context reasoning (AA-LCR) | 83.0% | Not measured | Only Gemini 3.7 Flash measured |
| DTBench | 96.8% | Not measured | Only Gemini 3.7 Flash measured |
| LMCA | 50.4% | Not measured | Only Gemini 3.7 Flash measured |
| Furniture assembly | 26.7% | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text | 1489 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: instruction following | 1486 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: creative writing | 1487 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Vision | 1314 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: English | 1485 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: non-English | 1486 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: Chinese | 1554 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: German | 1515 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: Japanese | 1514 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: Korean | 1484 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: French | 1495 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: Spanish | 1489 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: Russian | 1513 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: Polish | 1504 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: multi-turn | 1485 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: longer queries | 1494 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: writing and language | 1490 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: entertainment and media | 1475 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Vision: English | 1309 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Vision: Chinese | 1394 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Vision: reading text | 1322 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Vision: humor | 1299 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Vision: creative writing | 1312 | Not measured | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 19 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.7 Flash | 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
Gemini 3.7 Flash$0.0026Fits in one request
Hy4$0.0010Fits in one request
Hy4 costs less
Repository review
50K input + 3K output tokens
Gemini 3.7 Flash$0.049Fits in one request
Hy4$0.025Fits in one request
Hy4 costs less
Agent loop
200K input + 10K output tokens
Gemini 3.7 Flash$0.188Fits 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.
| Specification | Google Gemini 3.7 Flash | Tencent Hy4 |
|---|---|---|
| Maker | Tencent | |
| Weights | No public weights listed | Open weights |
| Released | August 13, 2026 | November 4, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.75 | $0.417 |
| Output $/Mtok | $3.75 | $1.2505 |
| Coding index | 54.0 | 65.2 |
| Independent measurements behind it | 5 | 2 |
| Cost per solved task | $1.78 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.7 Flash better than Hy4 for coding?
Pick Hy4 for coding: it scores 65.2 on the Vibe Coding Index against 54.0 for Gemini 3.7 Flash, though on 2 benchmarks against 5. Gemini 3.7 Flash is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, Gemini 3.7 Flash or Hy4?
Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Hy4 costs $0.417 and $1.2505. Cost per solved task is known for Gemini 3.7 Flash only.
Which has the bigger context window, Gemini 3.7 Flash or Hy4?
Neither: both take 1.05M tokens.
How many benchmarks is the Gemini 3.7 Flash vs Hy4 comparison based on?
4 benchmarks have a result for both models as of November 5, 2026. Gemini 3.7 Flash'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.