DeepSeek V3.1 Terminus vs Hy3 preview
Hy3 preview leads DeepSeek V3.1 Terminus on the Artificial Analysis Intelligence Index, 25.3 to 14.8, and Hy3 preview costs 1.7x less per output token ($0.60 vs $1.0142 per million). Updated October 22, 2026; 28 benchmarks have a result for both.
DeepSeek V3.1 Terminus or Hy3 preview: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick DeepSeek V3.1 Terminus for work measured by AA Coding Index or Terminal-Bench Hard (Artificial Analysis run), where it leads.
- Shared results
- 28
- DeepSeek V3.1 Terminus only
- 17
- Hy3 preview only
- 8
- Like-for-like categories
- 7 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
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Hy3 preview
Hy3 preview leads, 25.3 against 14.8.
Same board, both measured
Agentic work
AA Agentic Index
Hy3 preview
Hy3 preview leads, 24.1 against 6.8.
Same board, both measured
Web design
Design Arena: websites
No call
Only DeepSeek V3.1 Terminus has a Design Arena: websites result, 1187.
Directional only
Long documents
Listed context window
Hy3 preview
Hy3 preview takes 262K tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy3 preview
DeepSeek V3.1 Terminus $0.0008, Hy3 preview $0.0005 per turn.
List prices
At a glance
- Coding index
- DeepSeek V3.1 Terminus not benchmarked, Hy3 preview not benchmarked.
- Widest category
- Agentic work, 36.4 points apart on average over 2 shared benchmarks.
- Widest single gap
- τ²-Bench Telecom: DeepSeek V3.1 Terminus 37.1% against Hy3 preview 92.7%, 55.6 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3.1 Terminus $1.0142 against Hy3 preview $0.60 per million output tokens, 1.7x apart.
- Context window
- DeepSeek V3.1 Terminus takes 164K tokens, Hy3 preview 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 | DeepSeek V3.1 Terminus | Bars | Hy3 preview | Ties |
|---|---|---|---|---|
| Coding | 2 | 2 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 2 | ||
| Reasoning | 2 | 2 | ||
| Math | 0 | 1 | ||
| Knowledge | 4 | 0 | ||
| General | 10 | 2 | ||
| All shared boards | 18 | 10 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index22
| Benchmark | DeepSeek V3.1 Terminus | Hy3 preview | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1357 | Only Hy3 preview measured |
| AA Coding Index | 43.5 | 58.8 | Hy3 preview |
| LiveCodeBench (Artificial Analysis run) | 79.8% | Not measured | Only DeepSeek V3.1 Terminus measured |
| SciCode | 38.0% | Not measured | Only DeepSeek V3.1 Terminus measured |
| Terminal-Bench Hard (Artificial Analysis run) | 31.8% | 34.1% | Hy3 preview |
| ALE-Bench | 745.2 | Not measured | Only DeepSeek V3.1 Terminus measured |
| LMArena Text: coding | 1425 | 1421 | DeepSeek V3.1 Terminus |
| LMArena Text: software and IT | 1426 | 1423 | DeepSeek V3.1 Terminus |
| LMArena WebDev: React | Not measured | 1349 | Only Hy3 preview measured |
| LMArena WebDev: HTML | Not measured | 1356 | Only Hy3 preview measured |
| Neither model has a result on the other 29 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3.1 Terminus | Hy3 preview | Leader |
|---|---|---|---|
| AA Intelligence Index | 14.8 | 25.3 | Hy3 preview |
| 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 | DeepSeek V3.1 Terminus | Hy3 preview | Leader |
|---|---|---|---|
| AA Agentic Index | 6.8 | 24.1 | Hy3 preview |
| τ²-Bench Telecom | 37.1% | 92.7% | Hy3 preview |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | DeepSeek V3.1 Terminus | Hy3 preview | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 79.2% | 86.7% | Hy3 preview |
| Humanity's Last Exam (Artificial Analysis run) | 16.4% | 27.8% | Hy3 preview |
| LMArena Text: hard prompts | 1426 | 1413 | DeepSeek V3.1 Terminus |
| LMArena Text: expert | Not measured | 1422 | Only Hy3 preview measured |
| LMArena Text: hard prompts in English | 1432 | 1416 | DeepSeek V3.1 Terminus |
| Kagi LLM Benchmark | 57.4% | Not measured | Only DeepSeek V3.1 Terminus measured |
| Neither model has a result on the other 16 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3.1 Terminus | Hy3 preview | Leader |
|---|---|---|---|
| AA Math Index | 89.7 | Not measured | Only DeepSeek V3.1 Terminus measured |
| AIME 2025 (Artificial Analysis run) | 89.7% | Not measured | Only DeepSeek V3.1 Terminus measured |
| LMArena Text: math | 1402 | 1424 | Hy3 preview |
| LMArena Text: mathematical work | Not measured | 1442 | Only Hy3 preview measured |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | DeepSeek V3.1 Terminus | Hy3 preview | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 85.1% | Not measured | Only DeepSeek V3.1 Terminus measured |
| LMArena Text: science | 1451 | 1416 | DeepSeek V3.1 Terminus |
| LMArena Text: medicine and healthcare | 1468 | 1405 | DeepSeek V3.1 Terminus |
| LMArena Text: legal and government | 1457 | 1430 | DeepSeek V3.1 Terminus |
| LMArena Text: business and finance | 1414 | 1397 | DeepSeek V3.1 Terminus |
| Neither model has a result on the other 13 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | DeepSeek V3.1 Terminus | Hy3 preview | Leader |
|---|---|---|---|
| Design Arena: websites | 1187 | Not measured | Only DeepSeek V3.1 Terminus measured |
| Design Arena: UI components | 1182 | Not measured | Only DeepSeek V3.1 Terminus measured |
| Design Arena: game dev | 1131 | Not measured | Only DeepSeek V3.1 Terminus measured |
| Design Arena: data viz | 1168 | Not measured | Only DeepSeek V3.1 Terminus measured |
| Design Arena: 3D | 1141 | Not measured | Only DeepSeek V3.1 Terminus measured |
| Design Arena: all code categories | 1175 | Not measured | Only DeepSeek V3.1 Terminus measured |
| Design Arena: SVG | 1065 | Not measured | Only DeepSeek V3.1 Terminus measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index102
| Benchmark | DeepSeek V3.1 Terminus | Hy3 preview | Leader |
|---|---|---|---|
| IFBench | 57.0% | 63.1% | Hy3 preview |
| Long context reasoning (AA-LCR) | 69.3% | 64.7% | DeepSeek V3.1 Terminus |
| DTBench | 81.3% | Not measured | Only DeepSeek V3.1 Terminus measured |
| LMCA | 28.6% | Not measured | Only DeepSeek V3.1 Terminus measured |
| LMArena Text | 1419 | 1401 | DeepSeek V3.1 Terminus |
| LMArena Text: instruction following | 1404 | 1383 | DeepSeek V3.1 Terminus |
| LMArena Text: creative writing | 1403 | 1339 | DeepSeek V3.1 Terminus |
| LMArena Text: English | 1429 | 1409 | DeepSeek V3.1 Terminus |
| LMArena Text: non-English | 1408 | 1390 | DeepSeek V3.1 Terminus |
| LMArena Text: Chinese | Not measured | 1435 | Only Hy3 preview measured |
| LMArena Text: French | Not measured | 1425 | Only Hy3 preview measured |
| LMArena Text: Spanish | Not measured | 1399 | Only Hy3 preview measured |
| LMArena Text: Russian | 1435 | 1399 | DeepSeek V3.1 Terminus |
| LMArena Text: Polish | 1427 | Not measured | Only DeepSeek V3.1 Terminus measured |
| LMArena Text: multi-turn | 1411 | 1411 | Hy3 preview |
| LMArena Text: longer queries | 1422 | 1402 | DeepSeek V3.1 Terminus |
| LMArena Text: writing and language | 1409 | 1370 | DeepSeek V3.1 Terminus |
| LMArena Text: entertainment and media | 1391 | 1352 | DeepSeek V3.1 Terminus |
| Neither model has a result on the other 28 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3.1 Terminus | Hy3 preview | 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 preview costs less
Repository review
50K input + 3K output tokens
Hy3 preview costs less
Agent loop
200K input + 10K output tokens
Hy3 preview 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 V3.1 Terminus | Tencent Hy3 preview |
|---|---|---|
| Maker | DeepSeek | Tencent |
| Weights | Open weights | Open weights |
| Released | September 22, 2025 | April 22, 2026 |
| Context window | 164K | 262K |
| Input $/Mtok | $0.3063 | $0.18 |
| Output $/Mtok | $1.0142 | $0.60 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V3.1 Terminus better than Hy3 preview for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3.1 Terminus for work measured by AA Coding Index or Terminal-Bench Hard (Artificial Analysis run), where it leads.
Which is cheaper, DeepSeek V3.1 Terminus or Hy3 preview?
DeepSeek V3.1 Terminus costs $0.3063 per million input tokens and $1.0142 per million output tokens; Hy3 preview costs $0.18 and $0.60. Cost per solved task is known for neither of them.
Which has the bigger context window, DeepSeek V3.1 Terminus or Hy3 preview?
Hy3 preview, with 262K tokens against 164K.
How many benchmarks is the DeepSeek V3.1 Terminus vs Hy3 preview comparison based on?
28 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3.1 Terminus's coding index rests on 0 independent benchmarks and Hy3 preview's on 1. Where only one model has a result, the page says so instead of naming a winner.