# DeepSeek-V3.2-Exp vs Hy4 preview

> Hy4 preview is the stronger model overall, scoring 45.3 to 44.3 on the Noometry Index. DeepSeek-V3.2-Exp costs 3.9× less per token, which makes it the better buy when Hy4 preview's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-exp-vs-hy4-preview
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. DeepSeek-V3.2-Exp scores higher in 0 categories and Hy4 preview in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Hy4 preview leads 55.7 to 41.7.
- The biggest single-benchmark swing is ProofBench: 8% for DeepSeek-V3.2-Exp and 75% for Hy4 preview.
- DeepSeek-V3.2-Exp is cheaper at $0.26 / $0.38 per million input/output tokens, against $0.75 / $2.25 for Hy4 preview.
- Hy4 preview accepts more context: 1.05M tokens versus 164K.

## Snapshot

| | DeepSeek-V3.2-Exp | Hy4 preview |
|---|---|---|
| Provider | DeepSeek | Tencent |
| Noometry Index | 44.3 | 45.3 |
| Rank | 78 | 73 |
| Context | 164K | 1.05M |
| Input $/M | $0.26 | $0.75 |
| Output $/M | $0.38 | $2.25 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.2-Exp: 46.5 (#65)
- Hy4 preview: 51.6 (#38)

| Benchmark | DeepSeek-V3.2-Exp | Hy4 preview |
|---|---|---|
| LMArena WebDev | 1362 | 1632 |
| SWE-bench Verified (bash only) | 70% | — |
| Aider Polyglot | 74.2% | — |
| SWE-bench Multilingual | 59% | — |
| SciCode | 38.9% | — |
| WeirdML | 39.5% | — |
| LMArena Coding | 1454 | — |

## Agentic & Tool Use

- DeepSeek-V3.2-Exp: 32.7 (#59)
- Hy4 preview: —

| Benchmark | DeepSeek-V3.2-Exp | Hy4 preview |
|---|---|---|
| Terminal-Bench | 39.6% | — |
| APEX-Agents | 21.3% | — |
| Berkeley Function Calling Leaderboard | 56.7% | — |
| TheAgentCompany | 42.9% | — |
| Vending-Bench 2 | 1,034 | — |

## Reasoning

- DeepSeek-V3.2-Exp: 22.1 (#208)
- Hy4 preview: 31.9 (#79)

| Benchmark | DeepSeek-V3.2-Exp | Hy4 preview |
|---|---|---|
| NYT Connections (extended) | 36.7% | 68.2% |
| ARC-AGI-2 | 4% | — |
| Kagi LLM Benchmark | 52.2% | — |
| ARC-AGI-1 | 57% | — |
| CritPt | 2.9% | — |
| Chess Puzzles | 14% | — |
| Thematic Generalization | 65% | — |
| LMArena Hard Prompts | 1434 | — |
| DTBench | 87.7% | — |
| LMCA | 29.1% | — |
| Epoch Capabilities Index | 146.27 | — |

## Math

- DeepSeek-V3.2-Exp: 41.7 (#87)
- Hy4 preview: 55.7 (#42)

| Benchmark | DeepSeek-V3.2-Exp | Hy4 preview |
|---|---|---|
| ProofBench | 8% | 75% |
| MathArena Final-Answer Competitions | 57.7% | — |
| OTIS Mock AIME 2024-2025 | 87.8% | — |
| LMArena Math | 1435 | — |
| FrontierMath (Feb 2025 set) | 22.1% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- DeepSeek-V3.2-Exp: 51.7 (#66)
- Hy4 preview: —

| Benchmark | DeepSeek-V3.2-Exp | Hy4 preview |
|---|---|---|
| GPQA Diamond | 83.4% | — |
| Vectara Hallucination Rate | 5.3% | — |
| LMArena Expert | 1436 | — |

## Multilingual

- DeepSeek-V3.2-Exp: 52.2 (#90)
- Hy4 preview: —

| Benchmark | DeepSeek-V3.2-Exp | Hy4 preview |
|---|---|---|
| LMArena Non-English | 1409 | — |
| LMArena Chinese | 1461 | — |
| LMArena French | 1433 | — |
| LMArena German | 1440 | — |
| LMArena Japanese | 1374 | — |
| LMArena Korean | 1371 | — |
| LMArena Russian | 1424 | — |
| LMArena Spanish | 1440 | — |

## Instruction Following

- DeepSeek-V3.2-Exp: 74.5 (#93)
- Hy4 preview: —

| Benchmark | DeepSeek-V3.2-Exp | Hy4 preview |
|---|---|---|
| LMArena Instruction Following | 1413 | — |

## Long Context

- DeepSeek-V3.2-Exp: 47.6 (#16)
- Hy4 preview: —

| Benchmark | DeepSeek-V3.2-Exp | Hy4 preview |
|---|---|---|
| Fiction.LiveBench | 83.3% | — |
| CL-bench | 13.2% | — |
| CL-bench Life | 9.5% | — |
| LMArena Longer Query | 1428 | — |

## Writing & Preference

- DeepSeek-V3.2-Exp: 62.4 (#77)
- Hy4 preview: —

| Benchmark | DeepSeek-V3.2-Exp | Hy4 preview |
|---|---|---|
| LMArena Text | 1425 | — |
| LMArena Creative Writing | 1403 | — |
| EQ-Bench Creative Writing | 1515 | — |
| LMArena Multi-Turn | 1427 | — |

## FAQ

### Is DeepSeek-V3.2-Exp better than Hy4 preview?

Hy4 preview is the stronger model overall, scoring 45.3 to 44.3 on the Noometry Index. DeepSeek-V3.2-Exp costs 3.9× less per token, which makes it the better buy when Hy4 preview's lead doesn't matter for your workload.

### Which is cheaper, DeepSeek-V3.2-Exp or Hy4 preview?

DeepSeek-V3.2-Exp is cheaper. It lists at $0.26 per million input tokens and $0.38 per million output tokens; Hy4 preview lists at $0.75 and $2.25.

### Is DeepSeek-V3.2-Exp or Hy4 preview better for coding?

Hy4 preview scores higher on coding benchmarks: 51.6 versus 46.5 in the Noometry coding category.

### Which has the bigger context window?

Hy4 preview does, with 1.05M tokens against 164K.

### How many benchmarks do DeepSeek-V3.2-Exp and Hy4 preview share?

3 benchmarks have published results for both models. DeepSeek-V3.2-Exp has 49 scored results on Noometry and Hy4 preview has 3.