Model comparison
DeepSeek-V3.1 vs Gemini 3.5 Flash Lite
DeepSeek-V3.1 and Gemini 3.5 Flash Lite score almost the same on the Noometry Index (42.2 vs 41.8), so choose on price, context window or the category you care about most.
Last verified . 22 shared benchmarks.
Summary
- They share 22 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 1 category and Gemini 3.5 Flash Lite in 7 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek-V3.1 leads 36.1 to 25.7.
- The biggest single-benchmark swing is LMCA: 24.3% for DeepSeek-V3.1 and 37.6% for Gemini 3.5 Flash Lite.
- DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $0.30 / $2.50 for Gemini 3.5 Flash Lite.
- Gemini 3.5 Flash Lite accepts more context: 1.05M tokens versus 164K.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.1 | Gemini 3.5 Flash Lite | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 42.2 | 41.8 |
| Released | 2025-08-21 | 2026-07-21 |
| Weights | Open | Proprietary |
| Context window | 164K | 1.05M |
| Max output | 8K | 66K |
| Input $ / M tokens | $0.25 | $0.30 |
| Output $ / M tokens | $0.95 | $2.50 |
| Results tracked | 27 | 38 |
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Category by category
Coding Gemini 3.5 Flash Lite leads
DeepSeek-V3.1: 39.8 (#140), Gemini 3.5 Flash Lite: 42.1 (#96)
| Benchmark | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| WeirdML | 38.4% | 39% |
| LMArena Coding | 1417 | 1455 |
| LMArena WebDev | — | 1440 |
| SciCode | — | 41.3% |
| ALE-Bench | — | 765.27 |
Agentic & Tool Use Not comparable
DeepSeek-V3.1: —, Gemini 3.5 Flash Lite: 28.6 (#82)
| Benchmark | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| GDP.pdf | — | 10% |
Reasoning Too close to call
DeepSeek-V3.1: 27.3 (#109), Gemini 3.5 Flash Lite: 27.8 (#95)
| Benchmark | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1441 |
| DTBench | 82.7% | 83.5% |
| LMCA | 24.3% | 37.6% |
| Epoch Capabilities Index | 139.92 | 145.12 |
| ARC-AGI-2 | — | 10.3% |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| NYT Connections (extended) | — | 60.4% |
| ARC-AGI-1 | — | 53.5% |
| CritPt | — | 0% |
| Chess Puzzles | — | 22% |
| Mystery Game Puzzles | — | 19% |
| ForecastBench | 58 | — |
Math DeepSeek-V3.1 leads
DeepSeek-V3.1: 36.1 (#125), Gemini 3.5 Flash Lite: 25.7 (#245)
| Benchmark | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Math | 1420 | 1431 |
| FrontierMath (Tiers 1-3) | — | 26% |
| FrontierMath Tier 4 | — | 0% |
| OTIS Mock AIME 2024-2025 | — | 71.1% |
| ProofBench | — | 13% |
Knowledge Gemini 3.5 Flash Lite leads
DeepSeek-V3.1: 43.0 (#86), Gemini 3.5 Flash Lite: 50.0 (#66)
| Benchmark | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Expert | 1403 | 1430 |
| GPQA Diamond | — | 83.3% |
| Vectara Hallucination Rate | 5.5% | — |
Multimodal Not comparable
DeepSeek-V3.1: —, Gemini 3.5 Flash Lite: 40.3 (#38)
| Benchmark | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Vision | — | 1266 |
Multilingual Gemini 3.5 Flash Lite leads
DeepSeek-V3.1: 51.8 (#100), Gemini 3.5 Flash Lite: 53.8 (#59)
| Benchmark | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Non-English | 1400 | 1428 |
| LMArena Chinese | 1470 | 1467 |
| LMArena French | 1447 | 1452 |
| LMArena German | 1412 | 1454 |
| LMArena Japanese | 1374 | 1428 |
| LMArena Korean | 1337 | 1406 |
| LMArena Russian | 1405 | 1443 |
| LMArena Spanish | 1429 | 1440 |
Instruction Following Too close to call
DeepSeek-V3.1: 74.1 (#105), Gemini 3.5 Flash Lite: 75.0 (#77)
| Benchmark | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Instruction Following | 1400 | 1420 |
Long Context Gemini 3.5 Flash Lite leads
DeepSeek-V3.1: 36.3 (#227), Gemini 3.5 Flash Lite: 43.8 (#80)
| Benchmark | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Longer Query | 1422 | 1435 |
| Fiction.LiveBench | 52.8% | — |
Writing & Preference Gemini 3.5 Flash Lite leads
DeepSeek-V3.1: 60.5 (#93), Gemini 3.5 Flash Lite: 64.4 (#55)
| Benchmark | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Text | 1420 | 1436 |
| LMArena Creative Writing | 1401 | 1419 |
| EQ-Bench Creative Writing | 1436 | 1559 |
| LMArena Multi-Turn | 1408 | 1445 |
Frequently asked questions
Is DeepSeek-V3.1 better than Gemini 3.5 Flash Lite?
DeepSeek-V3.1 and Gemini 3.5 Flash Lite score almost the same on the Noometry Index (42.2 vs 41.8), so choose on price, context window or the category you care about most.
Which is cheaper, DeepSeek-V3.1 or Gemini 3.5 Flash Lite?
DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; Gemini 3.5 Flash Lite lists at $0.30 and $2.50.
Is DeepSeek-V3.1 or Gemini 3.5 Flash Lite better for coding?
Gemini 3.5 Flash Lite scores higher on coding benchmarks: 42.1 versus 39.8 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.5 Flash Lite does, with 1.05M tokens against 164K.
How many benchmarks do DeepSeek-V3.1 and Gemini 3.5 Flash Lite share?
22 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Gemini 3.5 Flash Lite has 38.