Model comparison
DeepSeek-V3.2-Speciale vs Granite 4.0 Micro
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 21× less per token, which makes it the better buy when DeepSeek-V3.2-Speciale's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.9 to 19.2.
- Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.
- Granite 4.0 Micro accepts more context: 131K tokens versus 128K.
Side by side
| DeepSeek-V3.2-Speciale | Granite 4.0 Micro | |
|---|---|---|
| Provider | DeepSeek | IBM |
| Noometry Index | 39.7 | 29.0 |
| Released | 2025-12-01 | 2025-10-02 |
| Weights | Open | Open |
| Context window | 128K | 131K |
| Max output | 128K | 118K |
| Input $ / M tokens | $0.58 | $0.017 |
| Output $ / M tokens | $1.68 | $0.11 |
| Results tracked | 3 | 8 |
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Category by category
Coding Not comparable
DeepSeek-V3.2-Speciale: 40.4 (#140), Granite 4.0 Micro: —
| Benchmark | DeepSeek-V3.2-Speciale | Granite 4.0 Micro |
|---|---|---|
| WeirdML | 46.7% | — |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.9 (#73), Granite 4.0 Micro: 19.2 (#265)
| Benchmark | DeepSeek-V3.2-Speciale | Granite 4.0 Micro |
|---|---|---|
| SimpleBench | 52.6% | — |
| Chess Puzzles | — | 0% |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Granite 4.0 Micro: 12.0 (#307)
| Benchmark | DeepSeek-V3.2-Speciale | Granite 4.0 Micro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.8% |
| Omni-MATH | — | 20.9% |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Granite 4.0 Micro: 9.9 (#304)
| Benchmark | DeepSeek-V3.2-Speciale | Granite 4.0 Micro |
|---|---|---|
| GPQA Diamond | — | 28.3% |
| MMLU-Pro | — | 39.5% |
| GPQA (HELM) | — | 30.7% |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, Granite 4.0 Micro: 69.9 (#169)
| Benchmark | DeepSeek-V3.2-Speciale | Granite 4.0 Micro |
|---|---|---|
| IFEval | — | 84.9% |
Writing & Preference Too close to call
DeepSeek-V3.2-Speciale: 46.0 (#222), Granite 4.0 Micro: 46.7 (#216)
| Benchmark | DeepSeek-V3.2-Speciale | Granite 4.0 Micro |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | — |
| WildBench | — | 67% |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Granite 4.0 Micro?
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 21× less per token, which makes it the better buy when DeepSeek-V3.2-Speciale's lead doesn't matter for your workload.
Which is cheaper, DeepSeek-V3.2-Speciale or Granite 4.0 Micro?
Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.
Which has the bigger context window?
Granite 4.0 Micro does, with 131K tokens against 128K.
How many benchmarks do DeepSeek-V3.2-Speciale and Granite 4.0 Micro share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Granite 4.0 Micro has 8.