DeepSeek V4.1 Flash vs Hy4
Hy4 leads DeepSeek V4.1 Flash on coding, 65.2 to 56.6 on the Vibe Coding Index, and DeepSeek V4.1 Flash costs 1.3x less per output token ($0.96 vs $1.2505 per million). Updated November 5, 2026; 4 benchmarks have a result for both.
vs boards won of 4 shared, 1 tied
DeepSeek V4.1 Flash or Hy4: which to pick
Pick Hy4 for coding: it scores 65.2 on the Vibe Coding Index against 56.6 for DeepSeek V4.1 Flash, though on 2 benchmarks against 4.
Pick DeepSeek V4.1 Flash for output tokens 1.3x cheaper ($0.96 vs $1.2505 per million) and work measured by Vibe Code Bench (Vals AI), where it leads.
Model ADeepSeek V4.1 FlashDeepSeek56.6/1004 independent benchmarksNo cost per solved taskModel BHy4Tencent65.2/1002 independent benchmarksNo cost per solved task
- Shared results
- 4
- DeepSeek V4.1 Flash only
- 92
- 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 56.6.
4 and 2 benchmarks behind the scores
Web design
Design Arena: websites
No call
Only DeepSeek V4.1 Flash has a Design Arena: websites result, 1308.
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
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash $0.0007, Hy4 $0.0010 per turn.
List prices
At a glance
- Coding index
- DeepSeek V4.1 Flash 56.6 from 4 benchmarks, Hy4 65.2 from 2 benchmarks.
- Widest category
- Coding, 15.0 points apart on average over 2 shared benchmarks.
- Widest single gap
- Terminal-Bench 4 (Vals AI): DeepSeek V4.1 Flash 19.7% against Hy4 39.4%, 26.3 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4.1 Flash $0.96 against Hy4 $1.2505 per million output tokens, 1.3x 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 | DeepSeek V4.1 Flash | Bars | Hy4 | Ties |
|---|---|---|---|---|
| Coding | 1 | 1 | ||
| Agentic work | 0 | 1 | 1 tie | |
| All shared boards | 1 | 2 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index11
| Benchmark | DeepSeek V4.1 Flash | Hy4 | Leader |
|---|---|---|---|
| LMArena WebDev | 1619 | Not measured | Only DeepSeek V4.1 Flash measured |
| Terminal-Bench 4 (Vals AI) | 19.7% | 39.4% | Hy4 |
| Vibe Code Bench (Vals AI) | 84.7% | 81.0% | DeepSeek V4.1 Flash |
| Code migration (Vals AI) | 45.6% | Not measured | Only DeepSeek V4.1 Flash measured |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| IOI (Vals AI) | 40.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | 74.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| SWE-bench Multimodal (Vals AI) | 46.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| Vibe Code Bench 1-100 (Vals AI) | 16.4% | Not measured | Only DeepSeek V4.1 Flash measured |
| SkillsBench (Vals AI) | 69.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| CyberBench (Vals AI) | 73.7% | Not measured | Only DeepSeek V4.1 Flash measured |
| SciCode | 51.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| FrontierCode | 43.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| ALE-Bench | 1092.3 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: coding | 1501 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: software and IT | 1496 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev: React | 1629 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev: HTML | 1613 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev: from an image | 1606 | Not measured | Only DeepSeek V4.1 Flash measured |
| GameBench 2 | 67.4 | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 30 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | DeepSeek V4.1 Flash | Hy4 | Leader |
|---|---|---|---|
| Epoch Capabilities Index | 156.5 | Not measured | Only DeepSeek V4.1 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 index01
| Benchmark | DeepSeek V4.1 Flash | Hy4 | Leader |
|---|---|---|---|
| SREBench (Vals AI) | 0.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| Finance Agent (Vals AI) | 53.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| Tax Agent Bench (Vals AI) | 26.6% | 34.4% | Hy4 |
| Legal Research Bench (Vals AI) | 41.4% | 41.4% | Tie |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 12.5% | Only Hy4 measured |
| Excel Modeling Benchmark (Vals AI) | 57.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| BioMysteryBench (Vals AI) | 67.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| Terminal-Bench-Science (Vals AI) | 0.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| Vals Science Index | 29.6% | Not measured | Only DeepSeek V4.1 Flash measured |
| APEX-Agents | 39.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 34 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
| Benchmark | DeepSeek V4.1 Flash | Hy4 | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | 21.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | 39.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| GPQA Diamond (Epoch AI run) | 89.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| ARC-AGI | 94.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| ARC-AGI-2 | 72.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| Chess puzzles | 48.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| Mystery game puzzles | 43.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: hard prompts | 1483 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: expert | 1502 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: hard prompts in English | 1488 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: diagrams | 1297 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: homework | 1307 | Not measured | Only DeepSeek V4.1 Flash measured |
| GoBench | 1707 | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 11 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | DeepSeek V4.1 Flash | Hy4 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| FrontierMath, tiers 1 to 3 | 67.4% | Not measured | Only DeepSeek V4.1 Flash measured |
| FrontierMath, tier 4 | 26.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| ProofBench | 54.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: math | 1481 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: mathematical work | 1484 | Not measured | Only DeepSeek V4.1 Flash measured |
| MathArena | 42.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | DeepSeek V4.1 Flash | Hy4 | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | 83.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| MedCode (Vals AI) | 41.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| SimpleQA Verified | 42.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: science | 1471 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: medicine and healthcare | 1486 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: legal and government | 1446 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: business and finance | 1462 | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 13 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | DeepSeek V4.1 Flash | Hy4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1308 | Not measured | Only DeepSeek V4.1 Flash measured |
| Design Arena: UI components | 1310 | Not measured | Only DeepSeek V4.1 Flash measured |
| Design Arena: game dev | 1330 | Not measured | Only DeepSeek V4.1 Flash measured |
| Design Arena: data viz | 1291 | Not measured | Only DeepSeek V4.1 Flash measured |
| Design Arena: 3D | 1354 | Not measured | Only DeepSeek V4.1 Flash measured |
| Design Arena: all code categories | 1318 | Not measured | Only DeepSeek V4.1 Flash measured |
| Design Arena: SVG | 1241 | Not measured | Only DeepSeek V4.1 Flash measured |
| Design Arena: ASCII art | 1265 | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index32 boards, none shared
| Benchmark | DeepSeek V4.1 Flash | Hy4 | Leader |
|---|---|---|---|
| Vals Index | Not measured | 59.4% | Only Hy4 measured |
| Public Benefits Bench (Vals AI) | 64.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| SAGE (Vals AI) | 85.4% | Not measured | Only DeepSeek V4.1 Flash measured |
| MedScribe (Vals AI) | 85.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| Long context reasoning (AA-LCR) | 84.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| DTBench | 89.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMCA | 47.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| Surface Evolver Bench | 46.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| Furniture assembly | 34.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text | 1465 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: instruction following | 1474 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: creative writing | 1437 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision | 1278 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: English | 1475 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: non-English | 1450 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Chinese | 1502 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: German | 1466 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Japanese | 1428 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Korean | 1432 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: French | 1467 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Spanish | 1458 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Russian | 1467 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Polish | 1458 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: multi-turn | 1460 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: longer queries | 1474 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: writing and language | 1451 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: entertainment and media | 1445 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: English | 1288 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: Chinese | 1327 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: reading text | 1282 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: humor | 1260 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: creative writing | 1275 | Not measured | Only DeepSeek V4.1 Flash 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 | DeepSeek V4.1 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
DeepSeek V4.1 Flash$0.0007Fits in one request
Hy4$0.0010Fits in one request
DeepSeek V4.1 Flash costs less
Repository review
50K input + 3K output tokens
DeepSeek V4.1 Flash$0.013Fits in one request
Hy4$0.025Fits in one request
DeepSeek V4.1 Flash costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4.1 Flash$0.052Fits in one request
Hy4$0.096Fits in one request
DeepSeek V4.1 Flash 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 | DeepSeek V4.1 Flash | Tencent Hy4 |
|---|---|---|
| Maker | DeepSeek | Tencent |
| Weights | Open weights | Open weights |
| Released | September 10, 2026 | November 4, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.21 | $0.417 |
| Output $/Mtok | $0.96 | $1.2505 |
| Coding index | 56.6 | 65.2 |
| Independent measurements behind it | 4 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4.1 Flash better than Hy4 for coding?
Pick Hy4 for coding: it scores 65.2 on the Vibe Coding Index against 56.6 for DeepSeek V4.1 Flash, though on 2 benchmarks against 4. Pick DeepSeek V4.1 Flash for output tokens 1.3x cheaper ($0.96 vs $1.2505 per million) and work measured by Vibe Code Bench (Vals AI), where it leads.
Which is cheaper, DeepSeek V4.1 Flash or Hy4?
DeepSeek V4.1 Flash costs $0.21 per million input tokens and $0.96 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, DeepSeek V4.1 Flash or Hy4?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4.1 Flash vs Hy4 comparison based on?
4 benchmarks have a result for both models as of November 5, 2026. DeepSeek V4.1 Flash's coding index rests on 4 independent benchmarks and Hy4's on 2. Where only one model has a result, the page says so instead of naming a winner.