Model comparison
DeepSeek-V3.2-Speciale vs Gemini 4 Argon
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 39.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
GoogleSummary
- The widest gap is in writing & preference, where Gemini 4 Argon leads 71.4 to 46.0.
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.2-Speciale | Gemini 4 Argon | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 39.7 | 56.5 |
| Released | 2025-12-01 | 2026-09-30 |
| Weights | Open | Proprietary |
| Context window | 128K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.58 | — |
| Output $ / M tokens | $1.68 | — |
| Results tracked | 3 | 21 |
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Category by category
Coding Gemini 4 Argon leads
DeepSeek-V3.2-Speciale: 40.4 (#140), Gemini 4 Argon: 62.0 (#9)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 4 Argon |
|---|---|---|
| LMArena WebDev | — | 1678 |
| FrontierSWE | — | 55% |
| SciCode | — | 61.8% |
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1550 |
Agentic & Tool Use Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 4 Argon: 49.2 (#8)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 4 Argon |
|---|---|---|
| APEX-Agents | — | 82.2% |
| Vending-Bench 2 | — | 13,718 |
Reasoning Gemini 4 Argon leads
DeepSeek-V3.2-Speciale: 32.9 (#73), Gemini 4 Argon: 44.2 (#47)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 4 Argon |
|---|---|---|
| SimpleBench | 52.6% | — |
| CritPt | — | 27.1% |
| LMArena Hard Prompts | — | 1548 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 4 Argon: 73.9 (#17)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 4 Argon |
|---|---|---|
| ProofBench | — | 99% |
| LMArena Math | — | 1536 |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 4 Argon: 43.9 (#89)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 4 Argon |
|---|---|---|
| LMArena Expert | — | 1553 |
Multimodal Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 4 Argon: 46.5 (#14)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 4 Argon |
|---|---|---|
| Blueprint-Bench 2 | — | 54.4% |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 4 Argon: 60.3 (#1)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 4 Argon |
|---|---|---|
| LMArena Non-English | — | 1523 |
| LMArena Chinese | — | 1610 |
| LMArena Russian | — | 1537 |
| LMArena Spanish | — | 1497 |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 4 Argon: 80.1 (#2)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 4 Argon |
|---|---|---|
| LMArena Instruction Following | — | 1538 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 4 Argon: 47.6 (#15)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 4 Argon |
|---|---|---|
| LMArena Longer Query | — | 1549 |
Writing & Preference Gemini 4 Argon leads
DeepSeek-V3.2-Speciale: 46.0 (#222), Gemini 4 Argon: 71.4 (#19)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 4 Argon |
|---|---|---|
| LMArena Text | — | 1534 |
| LMArena Creative Writing | — | 1531 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1557 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Gemini 4 Argon?
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 39.7 on the Noometry Index.
Is DeepSeek-V3.2-Speciale or Gemini 4 Argon better for coding?
Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 40.4 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.2-Speciale and Gemini 4 Argon share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Gemini 4 Argon has 21.