Model comparison
DeepSeek-V3.2-Speciale vs Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite is the stronger model overall, scoring 41.5 to 39.7 on the Noometry Index.
Last verified . 2 shared benchmarks.
DeepSeek
GoogleSummary
- They share 2 benchmarks with published results for both. DeepSeek-V3.2-Speciale scores higher in 1 category and Gemini 3.5 Flash Lite in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 3.5 Flash Lite leads 64.2 to 46.0.
- The biggest single-benchmark swing is WeirdML: 46.7% for DeepSeek-V3.2-Speciale and 39% for Gemini 3.5 Flash Lite.
- Both cost about the same: $0.58 input and $1.68 output per million tokens.
- Gemini 3.5 Flash Lite accepts more context: 1.05M tokens versus 128K.
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.2-Speciale | Gemini 3.5 Flash Lite | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 39.7 | 41.5 |
| Released | 2025-12-01 | 2026-07-21 |
| Weights | Open | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 128K | 66K |
| Input $ / M tokens | $0.58 | $0.30 |
| Output $ / M tokens | $1.68 | $2.50 |
| Results tracked | 3 | 39 |
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Category by category
Coding Gemini 3.5 Flash Lite leads
DeepSeek-V3.2-Speciale: 40.4 (#140), Gemini 3.5 Flash Lite: 42.4 (#104)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 3.5 Flash Lite |
|---|---|---|
| WeirdML | 46.7% | 39% |
| LMArena WebDev | — | 1440 |
| SciCode | — | 41.3% |
| LMArena Coding | — | 1453 |
| ALE-Bench | — | 765.27 |
Agentic & Tool Use Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 3.5 Flash Lite: 25.7 (#107)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 3.5 Flash Lite |
|---|---|---|
| APEX-Agents | — | 29.3% |
| GDP.pdf | — | 10% |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.9 (#73), Gemini 3.5 Flash Lite: 27.8 (#114)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 3.5 Flash Lite |
|---|---|---|
| ARC-AGI-2 | — | 10.3% |
| SimpleBench | 52.6% | — |
| NYT Connections (extended) | — | 60.4% |
| ARC-AGI-1 | — | 53.5% |
| CritPt | — | 0% |
| Chess Puzzles | — | 22% |
| LMArena Hard Prompts | — | 1441 |
| Mystery Game Puzzles | — | 19% |
| DTBench | — | 83.5% |
| LMCA | — | 37.6% |
| Epoch Capabilities Index | — | 145.13 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 3.5 Flash Lite: 25.9 (#264)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 3.5 Flash Lite |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 26% |
| FrontierMath Tier 4 | — | 0% |
| OTIS Mock AIME 2024-2025 | — | 71.1% |
| ProofBench | — | 13% |
| LMArena Math | — | 1433 |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 3.5 Flash Lite: 50.1 (#72)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 3.5 Flash Lite |
|---|---|---|
| GPQA Diamond | — | 83.3% |
| LMArena Expert | — | 1435 |
Multimodal Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 3.5 Flash Lite: 41.1 (#40)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Vision | — | 1268 |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 3.5 Flash Lite: 53.5 (#63)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Non-English | — | 1427 |
| LMArena Chinese | — | 1469 |
| LMArena French | — | 1451 |
| LMArena German | — | 1454 |
| LMArena Japanese | — | 1427 |
| LMArena Korean | — | 1407 |
| LMArena Russian | — | 1443 |
| LMArena Spanish | — | 1442 |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 3.5 Flash Lite: 74.8 (#85)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Instruction Following | — | 1420 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 3.5 Flash Lite: 43.9 (#84)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Longer Query | — | 1435 |
Writing & Preference Gemini 3.5 Flash Lite leads
DeepSeek-V3.2-Speciale: 46.0 (#222), Gemini 3.5 Flash Lite: 64.2 (#57)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 3.5 Flash Lite |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | 1559 |
| LMArena Text | — | 1435 |
| LMArena Creative Writing | — | 1420 |
| LMArena Multi-Turn | — | 1445 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Gemini 3.5 Flash Lite?
Gemini 3.5 Flash Lite is the stronger model overall, scoring 41.5 to 39.7 on the Noometry Index.
Which is cheaper, DeepSeek-V3.2-Speciale or Gemini 3.5 Flash Lite?
Gemini 3.5 Flash Lite is cheaper. It lists at $0.30 per million input tokens and $2.50 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.
Is DeepSeek-V3.2-Speciale or Gemini 3.5 Flash Lite better for coding?
Gemini 3.5 Flash Lite scores higher on coding benchmarks: 42.4 versus 40.4 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.5 Flash Lite does, with 1.05M tokens against 128K.
How many benchmarks do DeepSeek-V3.2-Speciale and Gemini 3.5 Flash Lite share?
2 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Gemini 3.5 Flash Lite has 39.