Gemini 3.8 Flash vs Hy3
Updated October 21, 2026. 44 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
vs boards won of 44 shared
Decision reading
Pick Gemini 3.8 Flash for coding: it scores 70.5 on the Vibe Coding Index against 43.9 for Hy3.
Pick Hy3 when output tokens cost 7.8x less.
Model AGemini 3.8 FlashGoogle70.5/1002 independent benchmarks$2.74 per solved taskModel BHy3Tencent43.9/1001 independent benchmarkNo cost per solved task
- Shared results
- 44
- Gemini 3.8 Flash only
- 82
- Hy3 only
- 0
- 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
Gemini 3.8 Flash
Gemini 3.8 Flash scores 70.5 against 43.9.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Gemini 3.8 Flash has a AA Intelligence Index result, 40.9.
Directional only
Agentic work
AA Agentic Index
No call
Only Gemini 3.8 Flash has a AA Agentic Index result, 40.2.
Directional only
Reasoning
GPQA Diamond
No call
Only Gemini 3.8 Flash has a GPQA Diamond result, 94.4%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.8 Flash has a MMLU Pro result, 90.2%.
Directional only
Web design
Design Arena: websites
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 1301 against 1230.
Same board, both measured
General
Vals Index
No call
Only Gemini 3.8 Flash has a Vals Index result, 56.0%.
Directional only
Long documents
Listed context window
Gemini 3.8 Flash
Gemini 3.8 Flash takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy3
Gemini 3.8 Flash $0.0029, Hy3 $0.0004 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.8 Flash has the number, $2.74.
Directional only
At a glance
- Coding index
- Gemini 3.8 Flash 70.5 from 2 benchmarks, Hy3 43.9 from 1 benchmark.
- Widest category
- Web design, 11.4 points apart on average over 8 shared benchmarks.
- Widest single gap
- LMArena WebDev: HTML: Gemini 3.8 Flash 1616 against Hy3 1487, 18.9 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.8 Flash $4.125 against Hy3 $0.528 per million output tokens, 7.8x apart.
- Context window
- Gemini 3.8 Flash 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 | Gemini 3.8 Flash | Bars | Hy3 | Ties |
|---|---|---|---|---|
| Coding | 7 | 0 | ||
| Reasoning | 5 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 8 | 0 | ||
| General | 18 | 0 | ||
| All shared boards | 44 | 0 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index70
| Benchmark | Gemini 3.8 Flash | Hy3 | Leader |
|---|---|---|---|
| LiveBench coding | 82.2% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena WebDev | 1585 | 1507 | Gemini 3.8 Flash |
| AA Coding Index | 76.3 | Not measured | Only Gemini 3.8 Flash measured |
| LiveCodeBench (Vals AI) | 89.5% | Not measured | Only Gemini 3.8 Flash measured |
| SWE-bench Verified (Vals AI) | 80.0% | Not measured | Only Gemini 3.8 Flash measured |
| Terminal-Bench 4 (Vals AI) | 19.7% | Not measured | Only Gemini 3.8 Flash measured |
| Vibe Code Bench (Vals AI) | 78.7% | Not measured | Only Gemini 3.8 Flash measured |
| Code migration (Vals AI) | 36.5% | Not measured | Only Gemini 3.8 Flash measured |
| ProgramBench (Vals AI) | 1.0% | Not measured | Only Gemini 3.8 Flash measured |
| IOI (Vals AI) | 56.9% | Not measured | Only Gemini 3.8 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | 81.3% | Not measured | Only Gemini 3.8 Flash measured |
| SWE-bench Multimodal (Vals AI) | 40.8% | Not measured | Only Gemini 3.8 Flash measured |
| Vibe Code Bench 1-100 (Vals AI) | 18.8% | Not measured | Only Gemini 3.8 Flash measured |
| SkillsBench (Vals AI) | 58.0% | Not measured | Only Gemini 3.8 Flash measured |
| CyberBench (Vals AI) | 43.8% | Not measured | Only Gemini 3.8 Flash measured |
| SciCode | 56.6% | 48.6% | Gemini 3.8 Flash |
| FrontierCode | 41.2% | Not measured | Only Gemini 3.8 Flash measured |
| FrontierSWE | 19.6% | Not measured | Only Gemini 3.8 Flash measured |
| WeirdML | 84.8% | Not measured | Only Gemini 3.8 Flash measured |
| ALE-Bench | 1269.7 | 838.6 | Gemini 3.8 Flash |
| LMArena Text: coding | 1508 | 1466 | Gemini 3.8 Flash |
| LMArena Text: software and IT | 1507 | 1463 | Gemini 3.8 Flash |
| LMArena WebDev: React | 1577 | 1511 | Gemini 3.8 Flash |
| LMArena WebDev: HTML | 1616 | 1487 | Gemini 3.8 Flash |
| LMArena WebDev: from an image | 1593 | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 13 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Gemini 3.8 Flash | Hy3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 40.9 | Not measured | Only Gemini 3.8 Flash measured |
| Epoch Capabilities Index | 157.4 | Not measured | Only Gemini 3.8 Flash measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index25 boards, none shared
| Benchmark | Gemini 3.8 Flash | Hy3 | Leader |
|---|---|---|---|
| AA Agentic Index | 40.2 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building web apps | 1238 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building full-stack apps | 1244 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building mobile apps | 1236 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building Android apps | 1078 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building Godot games | 1273 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: PowerPoint slides | 1178 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: spreadsheets | 1052 | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench research | 79.1% | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench browser | 64.0% | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench long agentic | 30.1% | Not measured | Only Gemini 3.8 Flash measured |
| SREBench (Vals AI) | 11.1% | Not measured | Only Gemini 3.8 Flash measured |
| Finance Agent (Vals AI) | 61.4% | Not measured | Only Gemini 3.8 Flash measured |
| Tax Agent Bench (Vals AI) | 32.1% | Not measured | Only Gemini 3.8 Flash measured |
| Legal Research Bench (Vals AI) | 38.9% | Not measured | Only Gemini 3.8 Flash measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 12.1% | Not measured | Only Gemini 3.8 Flash measured |
| Excel Modeling Benchmark (Vals AI) | 72.2% | Not measured | Only Gemini 3.8 Flash measured |
| BioMysteryBench (Vals AI) | 62.2% | Not measured | Only Gemini 3.8 Flash measured |
| Terminal-Bench-Science (Vals AI) | 8.6% | Not measured | Only Gemini 3.8 Flash measured |
| Vals Science Index | 35.8% | Not measured | Only Gemini 3.8 Flash measured |
| Time Horizon Index (Vals AI) | 18.8% | Not measured | Only Gemini 3.8 Flash measured |
| CUA-bench (Vals AI) | 4.2% | Not measured | Only Gemini 3.8 Flash measured |
| APEX-Agents | 64.3% | Not measured | Only Gemini 3.8 Flash measured |
| Remote Labor Index | 5.8% | Not measured | Only Gemini 3.8 Flash measured |
| Vending-Bench 2 | $5,094 | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 14 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 3.8 Flash | Hy3 | Leader |
|---|---|---|---|
| GPQA Diamond | 94.4% | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench reasoning | 89.3% | Not measured | Only Gemini 3.8 Flash measured |
| MysteryMechanism (Vals AI) | 36.5% | Not measured | Only Gemini 3.8 Flash measured |
| MMMU Pro (Vals AI) | 89.1% | Not measured | Only Gemini 3.8 Flash measured |
| GPQA Diamond (Artificial Analysis run) | 95.3% | 89.7% | Gemini 3.8 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 47.8% | 33.5% | Gemini 3.8 Flash |
| GPQA Diamond (Epoch AI run) | 95.4% | Not measured | Only Gemini 3.8 Flash measured |
| ARC-AGI | 98.5% | Not measured | Only Gemini 3.8 Flash measured |
| ARC-AGI-2 | 89.2% | Not measured | Only Gemini 3.8 Flash measured |
| Chess puzzles | 58.0% | Not measured | Only Gemini 3.8 Flash measured |
| Mystery game puzzles | 47.0% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: hard prompts | 1509 | 1447 | Gemini 3.8 Flash |
| LMArena Text: expert | 1526 | 1461 | Gemini 3.8 Flash |
| LMArena Text: hard prompts in English | 1504 | 1455 | Gemini 3.8 Flash |
| LMArena Vision: diagrams | 1345 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: homework | 1351 | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 3.8 Flash | Hy3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.9% | Not measured | Only Gemini 3.8 Flash measured |
| FrontierMath, tiers 1 to 3 | 68.4% | Not measured | Only Gemini 3.8 Flash measured |
| FrontierMath, tier 4 | 22.0% | Not measured | Only Gemini 3.8 Flash measured |
| ProofBench | 48.0% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: math | 1532 | 1473 | Gemini 3.8 Flash |
| LMArena Text: mathematical work | 1519 | 1482 | Gemini 3.8 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 3.8 Flash | Hy3 | Leader |
|---|---|---|---|
| MMLU Pro | 90.2% | Not measured | Only Gemini 3.8 Flash measured |
| LegalBench (Vals AI) | 87.0% | Not measured | Only Gemini 3.8 Flash measured |
| TaxEval (Vals AI) | 74.5% | Not measured | Only Gemini 3.8 Flash measured |
| MortgageTax (Vals AI) | 65.3% | Not measured | Only Gemini 3.8 Flash measured |
| MedCode (Vals AI) | 48.1% | Not measured | Only Gemini 3.8 Flash measured |
| SimpleQA Verified | 69.7% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: science | 1523 | 1457 | Gemini 3.8 Flash |
| LMArena Text: medicine and healthcare | 1508 | 1452 | Gemini 3.8 Flash |
| LMArena Text: legal and government | 1497 | 1422 | Gemini 3.8 Flash |
| LMArena Text: business and finance | 1479 | 1424 | Gemini 3.8 Flash |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Gemini 3.8 Flash | Hy3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1301 | 1230 | Gemini 3.8 Flash |
| Design Arena: UI components | 1318 | 1205 | Gemini 3.8 Flash |
| Design Arena: game dev | 1305 | 1208 | Gemini 3.8 Flash |
| Design Arena: data viz | 1269 | 1163 | Gemini 3.8 Flash |
| Design Arena: 3D | 1295 | 1233 | Gemini 3.8 Flash |
| Design Arena: all code categories | 1304 | 1227 | Gemini 3.8 Flash |
| Design Arena: SVG | 1295 | 1199 | Gemini 3.8 Flash |
| Design Arena: ASCII art | 1264 | 1157 | Gemini 3.8 Flash |
| LiveBench design | 72.7% | Not measured | Only Gemini 3.8 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
| Benchmark | Gemini 3.8 Flash | Hy3 | Leader |
|---|---|---|---|
| Vals Index | 56.0% | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench data analysis | 54.0% | Not measured | Only Gemini 3.8 Flash measured |
| Public Benefits Bench (Vals AI) | 65.3% | Not measured | Only Gemini 3.8 Flash measured |
| SAGE (Vals AI) | 35.1% | Not measured | Only Gemini 3.8 Flash measured |
| MedScribe (Vals AI) | 84.5% | Not measured | Only Gemini 3.8 Flash measured |
| Long context reasoning (AA-LCR) | 84.0% | 79.0% | Gemini 3.8 Flash |
| DTBench | 95.7% | Not measured | Only Gemini 3.8 Flash measured |
| LMCA | 52.9% | Not measured | Only Gemini 3.8 Flash measured |
| Surface Evolver Bench | 76.9% | Not measured | Only Gemini 3.8 Flash measured |
| Furniture assembly | 31.7% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text | 1499 | 1438 | Gemini 3.8 Flash |
| LMArena Text: instruction following | 1492 | 1426 | Gemini 3.8 Flash |
| LMArena Text: creative writing | 1488 | 1403 | Gemini 3.8 Flash |
| LMArena Vision | 1315 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: English | 1498 | 1448 | Gemini 3.8 Flash |
| LMArena Text: non-English | 1491 | 1426 | Gemini 3.8 Flash |
| LMArena Text: Chinese | 1553 | 1485 | Gemini 3.8 Flash |
| LMArena Text: German | 1501 | 1449 | Gemini 3.8 Flash |
| LMArena Text: Japanese | 1507 | 1397 | Gemini 3.8 Flash |
| LMArena Text: Korean | 1464 | 1396 | Gemini 3.8 Flash |
| LMArena Text: French | 1496 | 1456 | Gemini 3.8 Flash |
| LMArena Text: Spanish | 1487 | 1457 | Gemini 3.8 Flash |
| LMArena Text: Russian | 1514 | 1432 | Gemini 3.8 Flash |
| LMArena Text: Polish | 1497 | 1447 | Gemini 3.8 Flash |
| LMArena Text: multi-turn | 1503 | 1436 | Gemini 3.8 Flash |
| LMArena Text: longer queries | 1507 | 1442 | Gemini 3.8 Flash |
| LMArena Text: writing and language | 1494 | 1414 | Gemini 3.8 Flash |
| LMArena Text: entertainment and media | 1480 | 1400 | Gemini 3.8 Flash |
| LMArena Vision: English | 1318 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: Chinese | 1416 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: reading text | 1333 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: humor | 1321 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: creative writing | 1299 | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.8 Flash | 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
Gemini 3.8 Flash$0.0029Fits in one request
Hy3$0.0004Fits in one request
Hy3 costs less
Repository review
50K input + 3K output tokens
Gemini 3.8 Flash$0.054Fits in one request
Hy3$0.0082Fits in one request
Hy3 costs less
Agent loop
200K input + 10K output tokens
Gemini 3.8 Flash$0.206Fits in one request
Hy3$0.032Fits in one request
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 | Google Gemini 3.8 Flash | Tencent Hy3 |
|---|---|---|
| Maker | Tencent | |
| Weights | No public weights listed | Open weights |
| Released | September 2, 2026 | July 6, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $0.825 | $0.132 |
| Output $/Mtok | $4.125 | $0.528 |
| Coding index | 70.5 | 43.9 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | $2.74 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.8 Flash better than Hy3 for coding?
Pick Gemini 3.8 Flash for coding: it scores 70.5 on the Vibe Coding Index against 43.9 for Hy3. Pick Hy3 when output tokens cost 7.8x less.
Which is cheaper, Gemini 3.8 Flash or Hy3?
Gemini 3.8 Flash costs $0.825 per million input tokens and $4.125 per million output tokens; Hy3 costs $0.132 and $0.528. Cost per solved task is known for Gemini 3.8 Flash only.
Which has the bigger context window, Gemini 3.8 Flash or Hy3?
Gemini 3.8 Flash, with 1.05M tokens against 262K.
How many benchmarks is the Gemini 3.8 Flash vs Hy3 comparison based on?
44 benchmarks have a result for both models as of October 21, 2026. Gemini 3.8 Flash'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.