Model comparison
DeepSeek-V3.2-Speciale vs Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite is the stronger model overall, scoring 40.4 to 39.1 on the Noometry Index.
Last verified . 1 shared benchmarks.
DeepSeek
GoogleSummary
- They share 1 benchmark with published results for both. DeepSeek-V3.2-Speciale scores higher in 2 categories and Gemini 3.1 Flash Lite in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 3.1 Flash Lite leads 61.0 to 46.1.
- The biggest single-benchmark swing is WeirdML: 46.7% for DeepSeek-V3.2-Speciale and 52.2% for Gemini 3.1 Flash Lite.
- Gemini 3.1 Flash Lite is cheaper at $0.25 / $1.50 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.
- Gemini 3.1 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 3.1 Flash Lite | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 39.1 | 40.4 |
| Released | 2025-12-01 | 2026-03-03 |
| Weights | Open | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 128K | 66K |
| Input $ / M tokens | $0.58 | $0.25 |
| Output $ / M tokens | $1.68 | $1.50 |
| Results tracked | 3 | 38 |
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Category by category
Coding DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 39.9 (#136), Gemini 3.1 Flash Lite: 37.5 (#179)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 3.1 Flash Lite |
|---|---|---|
| WeirdML | 46.7% | 52.2% |
| LMArena WebDev | — | 1256 |
| SciCode | — | 41.9% |
| LMArena Coding | — | 1400 |
| ALE-Bench | — | 797.73 |
Agentic & Tool Use Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 3.1 Flash Lite: 29.9 (#72)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 3.1 Flash Lite |
|---|---|---|
| DeepResearch Bench | — | 37.3% |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.1 (#65), Gemini 3.1 Flash Lite: 22.3 (#181)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 3.1 Flash Lite |
|---|---|---|
| SimpleBench | 52.6% | — |
| Kagi LLM Benchmark | — | 67.2% |
| NYT Connections (extended) | — | 8.2% |
| CritPt | — | 1.1% |
| Chess Puzzles | — | 25% |
| EnigmaEval | — | 3% |
| Thematic Generalization | — | 63.3% |
| LMArena Hard Prompts | — | 1407 |
| DTBench | — | 76.8% |
| LMCA | — | 35% |
| Epoch Capabilities Index | — | 144.45 |
| ForecastBench | — | 54.4 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 3.1 Flash Lite: 39.5 (#82)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 3.1 Flash Lite |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 27.7% |
| OTIS Mock AIME 2024-2025 | — | 80% |
| LMArena Math | — | 1427 |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 3.1 Flash Lite: 41.7 (#95)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 3.1 Flash Lite |
|---|---|---|
| GPQA Diamond | — | 81.8% |
| Humanity's Last Exam | — | 8.6% |
| Vectara Hallucination Rate | — | 8.2% |
| LMArena Expert | — | 1397 |
Multimodal Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 3.1 Flash Lite: 38.7 (#57)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 3.1 Flash Lite |
|---|---|---|
| LMArena Vision | — | 1240 |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 3.1 Flash Lite: 52.5 (#82)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 3.1 Flash Lite |
|---|---|---|
| LMArena Non-English | — | 1410 |
| LMArena Chinese | — | 1461 |
| LMArena French | — | 1423 |
| LMArena German | — | 1429 |
| LMArena Japanese | — | 1411 |
| LMArena Korean | — | 1393 |
| LMArena Russian | — | 1420 |
| LMArena Spanish | — | 1420 |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 3.1 Flash Lite: 72.9 (#126)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 3.1 Flash Lite |
|---|---|---|
| LMArena Instruction Following | — | 1376 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, Gemini 3.1 Flash Lite: 42.5 (#117)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 3.1 Flash Lite |
|---|---|---|
| LMArena Longer Query | — | 1394 |
Writing & Preference Gemini 3.1 Flash Lite leads
DeepSeek-V3.2-Speciale: 46.1 (#217), Gemini 3.1 Flash Lite: 61.0 (#90)
| Benchmark | DeepSeek-V3.2-Speciale | Gemini 3.1 Flash Lite |
|---|---|---|
| LMArena Text | — | 1416 |
| LMArena Creative Writing | — | 1401 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1417 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Gemini 3.1 Flash Lite?
Gemini 3.1 Flash Lite is the stronger model overall, scoring 40.4 to 39.1 on the Noometry Index.
Which is cheaper, DeepSeek-V3.2-Speciale or Gemini 3.1 Flash Lite?
Gemini 3.1 Flash Lite is cheaper. It lists at $0.25 per million input tokens and $1.50 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.
Is DeepSeek-V3.2-Speciale or Gemini 3.1 Flash Lite better for coding?
DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 39.9 versus 37.5 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.1 Flash Lite does, with 1.05M tokens against 128K.
How many benchmarks do DeepSeek-V3.2-Speciale and Gemini 3.1 Flash Lite share?
1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Gemini 3.1 Flash Lite has 38.