Model comparison
DeepSeek-V3.2-Speciale vs Yi-Lightning
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 37.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in coding, where DeepSeek-V3.2-Speciale leads 40.4 to 27.4.
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.2-Speciale | Yi-Lightning | |
|---|---|---|
| Provider | DeepSeek | 01.AI |
| Noometry Index | 39.7 | 37.1 |
| Released | 2025-12-01 | 2024-12-02 |
| Weights | Open | Proprietary |
| Context window | 128K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.58 | — |
| Output $ / M tokens | $1.68 | — |
| Results tracked | 3 | 18 |
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Category by category
Coding DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 40.4 (#140), Yi-Lightning: 27.4 (#320)
| Benchmark | DeepSeek-V3.2-Speciale | Yi-Lightning |
|---|---|---|
| Aider Polyglot | — | 12.9% |
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1312 |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.9 (#73), Yi-Lightning: 25.9 (#139)
| Benchmark | DeepSeek-V3.2-Speciale | Yi-Lightning |
|---|---|---|
| SimpleBench | 52.6% | — |
| LMArena Hard Prompts | — | 1302 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Yi-Lightning: 36.2 (#172)
| Benchmark | DeepSeek-V3.2-Speciale | Yi-Lightning |
|---|---|---|
| LMArena Math | — | 1300 |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Yi-Lightning: 35.4 (#185)
| Benchmark | DeepSeek-V3.2-Speciale | Yi-Lightning |
|---|---|---|
| LMArena Expert | — | 1286 |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, Yi-Lightning: 42.2 (#196)
| Benchmark | DeepSeek-V3.2-Speciale | Yi-Lightning |
|---|---|---|
| LMArena Non-English | — | 1269 |
| LMArena Chinese | — | 1320 |
| LMArena French | — | 1305 |
| LMArena German | — | 1267 |
| LMArena Japanese | — | 1228 |
| LMArena Korean | — | 1192 |
| LMArena Russian | — | 1255 |
| LMArena Spanish | — | 1315 |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, Yi-Lightning: 67.4 (#196)
| Benchmark | DeepSeek-V3.2-Speciale | Yi-Lightning |
|---|---|---|
| LMArena Instruction Following | — | 1278 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, Yi-Lightning: 39.4 (#181)
| Benchmark | DeepSeek-V3.2-Speciale | Yi-Lightning |
|---|---|---|
| LMArena Longer Query | — | 1297 |
Writing & Preference Yi-Lightning leads
DeepSeek-V3.2-Speciale: 46.0 (#222), Yi-Lightning: 50.2 (#184)
| Benchmark | DeepSeek-V3.2-Speciale | Yi-Lightning |
|---|---|---|
| LMArena Text | — | 1302 |
| LMArena Creative Writing | — | 1280 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1311 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Yi-Lightning?
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 37.1 on the Noometry Index.
Is DeepSeek-V3.2-Speciale or Yi-Lightning better for coding?
DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 40.4 versus 27.4 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.2-Speciale and Yi-Lightning share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Yi-Lightning has 18.