Model comparison
DeepSeek-V3.2-Speciale vs Yi-34B
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 27.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in writing & preference, where DeepSeek-V3.2-Speciale leads 46.0 to 34.1.
Side by side
| DeepSeek-V3.2-Speciale | Yi-34B | |
|---|---|---|
| Provider | DeepSeek | 01.AI |
| Noometry Index | 39.7 | 27.8 |
| Released | 2025-12-01 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.58 | — |
| Output $ / M tokens | $1.68 | — |
| Results tracked | 3 | 23 |
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Category by category
Coding DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 40.4 (#140), Yi-34B: 32.3 (#274)
| Benchmark | DeepSeek-V3.2-Speciale | Yi-34B |
|---|---|---|
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1112 |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.9 (#73), Yi-34B: 21.2 (#226)
| Benchmark | DeepSeek-V3.2-Speciale | Yi-34B |
|---|---|---|
| SimpleBench | 52.6% | — |
| LMArena Hard Prompts | — | 1104 |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Yi-34B: 21.6 (#282)
| Benchmark | DeepSeek-V3.2-Speciale | Yi-34B |
|---|---|---|
| LMArena Math | — | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Yi-34B: 7.5 (#309)
| Benchmark | DeepSeek-V3.2-Speciale | Yi-34B |
|---|---|---|
| GPQA Diamond | — | 14.7% |
| LMArena Expert | — | 1061 |
| MMLU | — | 76.3% |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, Yi-34B: 29.7 (#264)
| Benchmark | DeepSeek-V3.2-Speciale | Yi-34B |
|---|---|---|
| LMArena Non-English | — | 1079 |
| LMArena Chinese | — | 1176 |
| LMArena French | — | 1081 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Russian | — | 1050 |
| LMArena Spanish | — | 1070 |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, Yi-34B: 56.2 (#274)
| Benchmark | DeepSeek-V3.2-Speciale | Yi-34B |
|---|---|---|
| LMArena Instruction Following | — | 1091 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, Yi-34B: 33.2 (#264)
| Benchmark | DeepSeek-V3.2-Speciale | Yi-34B |
|---|---|---|
| LMArena Longer Query | — | 1094 |
Writing & Preference DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 46.0 (#222), Yi-34B: 34.1 (#273)
| Benchmark | DeepSeek-V3.2-Speciale | Yi-34B |
|---|---|---|
| LMArena Text | — | 1129 |
| LMArena Creative Writing | — | 1108 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1113 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Yi-34B?
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 27.8 on the Noometry Index.
Is DeepSeek-V3.2-Speciale or Yi-34B better for coding?
DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 40.4 versus 32.3 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.2-Speciale and Yi-34B share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Yi-34B has 23.