DeepSeek V3.2 vs Hy3 preview
Hy3 preview leads DeepSeek V3.2 on the Artificial Analysis Intelligence Index, 25.3 to 21.5, and Hy3 preview costs 1.5x less per output token ($0.60 vs $0.88 per million). Updated October 22, 2026; 35 benchmarks have a result for both.
DeepSeek V3.2 or Hy3 preview: which to pick
Only DeepSeek V3.2 has a coding score, 30.0 on the Vibe Coding Index; Hy3 preview has none, so the two cannot be ranked on coding.
Pick Hy3 preview for output tokens 1.5x cheaper ($0.60 vs $0.88 per million) and a larger context window (262K against 164K tokens).
- Shared results
- 35
- DeepSeek V3.2 only
- 40
- Hy3 preview only
- 1
- 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
Only DeepSeek V3.2 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Hy3 preview
Hy3 preview leads, 25.3 against 21.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Hy3 preview has a AA Agentic Index result, 24.1.
Directional only
Reasoning
GPQA Diamond
No call
Only DeepSeek V3.2 has a GPQA Diamond result, 80.3%.
Directional only
Math
AIME
No call
Only DeepSeek V3.2 has a AIME result, 84.6%.
Directional only
Knowledge
MMLU Pro
No call
Only DeepSeek V3.2 has a MMLU Pro result, 84.9%.
Directional only
Web design
Design Arena: websites
No call
Only DeepSeek V3.2 has a Design Arena: websites result, 1175.
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 V3.2 $0.0007, Hy3 preview $0.0005 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only DeepSeek V3.2 has the number, $0.99.
Directional only
At a glance
- Coding index
- DeepSeek V3.2 30.0 from 3 benchmarks, Hy3 preview not benchmarked.
- Widest category
- General, 4.7 points apart on average over 15 shared benchmarks.
- Widest single gap
- AA Coding Index: DeepSeek V3.2 44.2 against Hy3 preview 58.8, 14.6 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3.2 $0.88 against Hy3 preview $0.60 per million output tokens, 1.5x apart.
- Context window
- DeepSeek V3.2 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 V3.2 | Bars | Hy3 preview | Ties |
|---|---|---|---|---|
| Coding | 6 | 1 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 3 | 2 | ||
| Math | 1 | 1 | ||
| Knowledge | 3 | 1 | ||
| General | 14 | 1 | ||
| All shared boards | 27 | 8 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index61
| Benchmark | DeepSeek V3.2 | Hy3 preview | Leader |
|---|---|---|---|
| SWE-bench Verified | 70.0% | Not measured | Only DeepSeek V3.2 measured |
| SWE-bench Multilingual | 59.0% | Not measured | Only DeepSeek V3.2 measured |
| LMArena WebDev | 1362 | 1357 | DeepSeek V3.2 |
| AA Coding Index | 44.2 | 58.8 | Hy3 preview |
| LiveCodeBench (Vals AI) | 80.7% | Not measured | Only DeepSeek V3.2 measured |
| SWE-bench Verified (Vals AI) | 67.6% | Not measured | Only DeepSeek V3.2 measured |
| Vibe Code Bench (Vals AI) | 5.1% | Not measured | Only DeepSeek V3.2 measured |
| LiveCodeBench (Artificial Analysis run) | 86.2% | Not measured | Only DeepSeek V3.2 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 35.6% | 34.1% | DeepSeek V3.2 |
| Terminal-Bench | 39.6% | Not measured | Only DeepSeek V3.2 measured |
| LMArena Text: coding | 1453 | 1421 | DeepSeek V3.2 |
| LMArena Text: software and IT | 1449 | 1423 | DeepSeek V3.2 |
| LMArena WebDev: React | 1350 | 1349 | DeepSeek V3.2 |
| LMArena WebDev: HTML | 1371 | 1356 | DeepSeek V3.2 |
| Neither model has a result on the other 25 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3.2 | Hy3 preview | Leader |
|---|---|---|---|
| AA Intelligence Index | 21.5 | 25.3 | Hy3 preview |
| Epoch Capabilities Index | 146.1 | Not measured | Only DeepSeek V3.2 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3.2 | Hy3 preview | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 24.1 | Only Hy3 preview measured |
| τ²-Bench Telecom | 90.6% | 92.7% | Hy3 preview |
| APEX-Agents | 21.3% | Not measured | Only DeepSeek V3.2 measured |
| Vending-Bench 2 | $1,034 | Not measured | Only DeepSeek V3.2 measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | DeepSeek V3.2 | Hy3 preview | Leader |
|---|---|---|---|
| GPQA Diamond | 80.3% | Not measured | Only DeepSeek V3.2 measured |
| GPQA Diamond (Artificial Analysis run) | 84.0% | 86.7% | Hy3 preview |
| Humanity's Last Exam (Artificial Analysis run) | 24.6% | 27.8% | Hy3 preview |
| ARC-AGI | 57.0% | Not measured | Only DeepSeek V3.2 measured |
| ARC-AGI-2 | 4.0% | Not measured | Only DeepSeek V3.2 measured |
| LMArena Text: hard prompts | 1434 | 1413 | DeepSeek V3.2 |
| LMArena Text: expert | 1436 | 1422 | DeepSeek V3.2 |
| LMArena Text: hard prompts in English | 1446 | 1416 | DeepSeek V3.2 |
| Neither model has a result on the other 14 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | DeepSeek V3.2 | Hy3 preview | Leader |
|---|---|---|---|
| AIME | 84.6% | Not measured | Only DeepSeek V3.2 measured |
| MGSM (Vals AI) | 86.0% | Not measured | Only DeepSeek V3.2 measured |
| AA Math Index | 92.0 | Not measured | Only DeepSeek V3.2 measured |
| AIME 2025 (Artificial Analysis run) | 92.0% | Not measured | Only DeepSeek V3.2 measured |
| LMArena Text: math | 1435 | 1424 | DeepSeek V3.2 |
| LMArena Text: mathematical work | 1440 | 1442 | Hy3 preview |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | DeepSeek V3.2 | Hy3 preview | Leader |
|---|---|---|---|
| MMLU Pro | 84.9% | Not measured | Only DeepSeek V3.2 measured |
| LegalBench (Vals AI) | 76.1% | Not measured | Only DeepSeek V3.2 measured |
| CaseLaw (Vals AI) | 55.4% | Not measured | Only DeepSeek V3.2 measured |
| CorpFin (Vals AI) | 51.0% | Not measured | Only DeepSeek V3.2 measured |
| TaxEval (Vals AI) | 68.2% | Not measured | Only DeepSeek V3.2 measured |
| MedQA (Vals AI) | 93.9% | Not measured | Only DeepSeek V3.2 measured |
| MMLU Pro (Artificial Analysis run) | 86.2% | Not measured | Only DeepSeek V3.2 measured |
| LMArena Text: science | 1446 | 1416 | DeepSeek V3.2 |
| LMArena Text: medicine and healthcare | 1440 | 1405 | DeepSeek V3.2 |
| LMArena Text: legal and government | 1425 | 1430 | Hy3 preview |
| LMArena Text: business and finance | 1410 | 1397 | DeepSeek V3.2 |
| Neither model has a result on the other 7 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | DeepSeek V3.2 | Hy3 preview | Leader |
|---|---|---|---|
| Design Arena: websites | 1175 | Not measured | Only DeepSeek V3.2 measured |
| Design Arena: UI components | 1146 | Not measured | Only DeepSeek V3.2 measured |
| Design Arena: game dev | 1131 | Not measured | Only DeepSeek V3.2 measured |
| Design Arena: data viz | 1158 | Not measured | Only DeepSeek V3.2 measured |
| Design Arena: 3D | 1132 | Not measured | Only DeepSeek V3.2 measured |
| Design Arena: all code categories | 1163 | Not measured | Only DeepSeek V3.2 measured |
| Design Arena: SVG | 1032 | Not measured | Only DeepSeek V3.2 measured |
| Design Arena: ASCII art | 1083 | Not measured | Only DeepSeek V3.2 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index141
| Benchmark | DeepSeek V3.2 | Hy3 preview | Leader |
|---|---|---|---|
| IFBench | 60.7% | 63.1% | Hy3 preview |
| Long context reasoning (AA-LCR) | 73.3% | 64.7% | DeepSeek V3.2 |
| DTBench | 85.6% | Not measured | Only DeepSeek V3.2 measured |
| LMCA | 28.8% | Not measured | Only DeepSeek V3.2 measured |
| CL-bench | 12.4% | Not measured | Only DeepSeek V3.2 measured |
| CL-bench Life | 7.4% | Not measured | Only DeepSeek V3.2 measured |
| LMArena Text | 1425 | 1401 | DeepSeek V3.2 |
| LMArena Text: instruction following | 1413 | 1383 | DeepSeek V3.2 |
| LMArena Text: creative writing | 1400 | 1339 | DeepSeek V3.2 |
| LMArena Text: English | 1439 | 1409 | DeepSeek V3.2 |
| LMArena Text: non-English | 1409 | 1390 | DeepSeek V3.2 |
| LMArena Text: Chinese | 1455 | 1435 | DeepSeek V3.2 |
| LMArena Text: German | 1413 | Not measured | Only DeepSeek V3.2 measured |
| LMArena Text: Japanese | 1374 | Not measured | Only DeepSeek V3.2 measured |
| LMArena Text: Korean | 1370 | Not measured | Only DeepSeek V3.2 measured |
| LMArena Text: French | 1429 | 1425 | DeepSeek V3.2 |
| LMArena Text: Spanish | 1424 | 1399 | DeepSeek V3.2 |
| LMArena Text: Russian | 1424 | 1399 | DeepSeek V3.2 |
| LMArena Text: Polish | 1419 | Not measured | Only DeepSeek V3.2 measured |
| LMArena Text: multi-turn | 1427 | 1411 | DeepSeek V3.2 |
| LMArena Text: longer queries | 1428 | 1402 | DeepSeek V3.2 |
| LMArena Text: writing and language | 1407 | 1370 | DeepSeek V3.2 |
| LMArena Text: entertainment and media | 1395 | 1352 | DeepSeek V3.2 |
| Neither model has a result on the other 23 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3.2 | 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 V3.2 | Tencent Hy3 preview |
|---|---|---|
| Maker | DeepSeek | Tencent |
| Weights | Open weights | Open weights |
| Released | December 1, 2025 | April 22, 2026 |
| Context window | 164K | 262K |
| Input $/Mtok | $0.29 | $0.18 |
| Output $/Mtok | $0.88 | $0.60 |
| Coding index | 30.0 | Not benchmarked |
| Independent measurements behind it | 3 | 1 |
| Cost per solved task | $0.99 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V3.2 better than Hy3 preview for coding?
Only DeepSeek V3.2 has a coding score, 30.0 on the Vibe Coding Index; Hy3 preview has none, so the two cannot be ranked on coding. Pick Hy3 preview for output tokens 1.5x cheaper ($0.60 vs $0.88 per million) and a larger context window (262K against 164K tokens).
Which is cheaper, DeepSeek V3.2 or Hy3 preview?
DeepSeek V3.2 costs $0.29 per million input tokens and $0.88 per million output tokens; Hy3 preview costs $0.18 and $0.60. Cost per solved task is known for DeepSeek V3.2 only.
Which has the bigger context window, DeepSeek V3.2 or Hy3 preview?
Hy3 preview, with 262K tokens against 164K.
How many benchmarks is the DeepSeek V3.2 vs Hy3 preview comparison based on?
35 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3.2's coding index rests on 3 independent benchmarks and Hy3 preview's on 1. Where only one model has a result, the page says so instead of naming a winner.