Model comparison
DeepSeek-V3.2-Speciale vs Olmo 3 32b Think
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 38.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
Allen Institute for AI (Ai2)Summary
- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.1 to 24.9.
Side by side
| DeepSeek-V3.2-Speciale | Olmo 3 32b Think | |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 39.1 | 38.1 |
| Released | 2025-12-01 | — |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.58 | — |
| Output $ / M tokens | $1.68 | — |
| Results tracked | 3 | 14 |
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Category by category
Coding DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 39.9 (#136), Olmo 3 32b Think: 38.0 (#169)
| Benchmark | DeepSeek-V3.2-Speciale | Olmo 3 32b Think |
|---|---|---|
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1318 |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.1 (#65), Olmo 3 32b Think: 24.9 (#138)
| Benchmark | DeepSeek-V3.2-Speciale | Olmo 3 32b Think |
|---|---|---|
| SimpleBench | 52.6% | — |
| LMArena Hard Prompts | — | 1302 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Olmo 3 32b Think: 33.8 (#165)
| Benchmark | DeepSeek-V3.2-Speciale | Olmo 3 32b Think |
|---|---|---|
| LMArena Math | — | 1315 |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Olmo 3 32b Think: 34.4 (#189)
| Benchmark | DeepSeek-V3.2-Speciale | Olmo 3 32b Think |
|---|---|---|
| LMArena Expert | — | 1272 |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, Olmo 3 32b Think: 41.4 (#205)
| Benchmark | DeepSeek-V3.2-Speciale | Olmo 3 32b Think |
|---|---|---|
| LMArena Non-English | — | 1255 |
| LMArena Chinese | — | 1300 |
| LMArena French | — | 1291 |
| LMArena German | — | 1290 |
| LMArena Russian | — | 1255 |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, Olmo 3 32b Think: 67.4 (#193)
| Benchmark | DeepSeek-V3.2-Speciale | Olmo 3 32b Think |
|---|---|---|
| LMArena Instruction Following | — | 1275 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, Olmo 3 32b Think: 39.4 (#177)
| Benchmark | DeepSeek-V3.2-Speciale | Olmo 3 32b Think |
|---|---|---|
| LMArena Longer Query | — | 1296 |
Writing & Preference Olmo 3 32b Think leads
DeepSeek-V3.2-Speciale: 46.1 (#217), Olmo 3 32b Think: 49.2 (#188)
| Benchmark | DeepSeek-V3.2-Speciale | Olmo 3 32b Think |
|---|---|---|
| LMArena Text | — | 1300 |
| LMArena Creative Writing | — | 1256 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1289 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Olmo 3 32b Think?
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 38.1 on the Noometry Index.
Is DeepSeek-V3.2-Speciale or Olmo 3 32b Think better for coding?
DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 39.9 versus 38.0 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.2-Speciale and Olmo 3 32b Think share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Olmo 3 32b Think has 14.