Model comparison
DeepSeek-V3.2-Exp vs Hy4 preview
DeepSeek-V3.2-Exp and Hy4 preview score almost the same on the Noometry Index (44.9 vs 44.6), so choose on price, context window or the category you care about most.
Last verified . 3 shared benchmarks.
DeepSeek
TencentSummary
- 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 54.5 to 40.8.
- 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 $0.83 / $2.50 for Hy4 preview.
- Hy4 preview accepts more context: 1.05M tokens versus 164K.
Side by side
| DeepSeek-V3.2-Exp | Hy4 preview | |
|---|---|---|
| Provider | DeepSeek | Tencent |
| Noometry Index | 44.9 | 44.6 |
| Released | 2025-09-29 | 2026-08-28 |
| Weights | Open | Open |
| Context window | 164K | 1.05M |
| Max output | 66K | 64K |
| Input $ / M tokens | $0.26 | $0.83 |
| Output $ / M tokens | $0.38 | $2.50 |
| Results tracked | 48 | 3 |
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Category by category
Coding Hy4 preview leads
DeepSeek-V3.2-Exp: 46.4 (#61), Hy4 preview: 51.4 (#36)
| Benchmark | DeepSeek-V3.2-Exp | Hy4 preview |
|---|---|---|
| LMArena WebDev | 1362 | 1633 |
| 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 Not comparable
DeepSeek-V3.2-Exp: 37.9 (#31), Hy4 preview: —
| Benchmark | DeepSeek-V3.2-Exp | Hy4 preview |
|---|---|---|
| Terminal-Bench | 39.6% | — |
| Berkeley Function Calling Leaderboard | 56.7% | — |
| TheAgentCompany | 42.9% | — |
| Vending-Bench 2 | 1,034 | — |
Reasoning Hy4 preview leads
DeepSeek-V3.2-Exp: 22.0 (#185), Hy4 preview: 30.6 (#75)
| 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 | 1433 | — |
| DTBench | 87.7% | — |
| LMCA | 29.1% | — |
| Epoch Capabilities Index | 146.28 | — |
Math Hy4 preview leads
DeepSeek-V3.2-Exp: 40.8 (#75), Hy4 preview: 54.5 (#37)
| 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 Not comparable
DeepSeek-V3.2-Exp: 51.6 (#61), Hy4 preview: —
| Benchmark | DeepSeek-V3.2-Exp | Hy4 preview |
|---|---|---|
| GPQA Diamond | 83.4% | — |
| Vectara Hallucination Rate | 5.3% | — |
| LMArena Expert | 1436 | — |
Multilingual Not comparable
DeepSeek-V3.2-Exp: 52.4 (#85), Hy4 preview: —
| Benchmark | DeepSeek-V3.2-Exp | Hy4 preview |
|---|---|---|
| LMArena Non-English | 1409 | — |
| LMArena Chinese | 1461 | — |
| LMArena French | 1435 | — |
| LMArena German | 1440 | — |
| LMArena Japanese | 1377 | — |
| LMArena Korean | 1372 | — |
| LMArena Russian | 1423 | — |
| LMArena Spanish | 1441 | — |
Instruction Following Not comparable
DeepSeek-V3.2-Exp: 74.7 (#89), Hy4 preview: —
| Benchmark | DeepSeek-V3.2-Exp | Hy4 preview |
|---|---|---|
| LMArena Instruction Following | 1413 | — |
Long Context Not comparable
DeepSeek-V3.2-Exp: 47.6 (#15), 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 Not comparable
DeepSeek-V3.2-Exp: 62.5 (#73), 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 | — |
Frequently asked questions
Is DeepSeek-V3.2-Exp better than Hy4 preview?
DeepSeek-V3.2-Exp and Hy4 preview score almost the same on the Noometry Index (44.9 vs 44.6), so choose on price, context window or the category you care about most.
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 $0.83 and $2.50.
Is DeepSeek-V3.2-Exp or Hy4 preview better for coding?
Hy4 preview scores higher on coding benchmarks: 51.4 versus 46.4 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 48 scored results on Noometry and Hy4 preview has 3.