Model comparison
DeepSeek-R1 vs Gemini 3.5 Flash Lite
DeepSeek-R1 and Gemini 3.5 Flash Lite score almost the same on the Noometry Index (42.3 vs 41.5), so choose on price, context window or the category you care about most.
Last verified . 27 shared benchmarks.
DeepSeek
GoogleSummary
- They share 27 benchmarks with published results for both. DeepSeek-R1 scores higher in 4 categories and Gemini 3.5 Flash Lite in 5 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek-R1 leads 43.8 to 25.9.
- The biggest single-benchmark swing is ARC-AGI-1: 21.2% for DeepSeek-R1 and 53.5% for Gemini 3.5 Flash Lite.
- Gemini 3.5 Flash Lite is cheaper at $0.30 / $2.50 per million input/output tokens, against $0.50 / $2.15 for DeepSeek-R1.
- Gemini 3.5 Flash Lite accepts more context: 1.05M tokens versus 164K.
Side by side
| DeepSeek-R1 | Gemini 3.5 Flash Lite | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 42.3 | 41.5 |
| Released | 2025-01-20 | 2026-07-21 |
| Weights | Proprietary | Proprietary |
| Context window | 164K | 1.05M |
| Max output | 64K | 66K |
| Input $ / M tokens | $0.50 | $0.30 |
| Output $ / M tokens | $2.15 | $2.50 |
| Results tracked | 52 | 39 |
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Category by category
Coding DeepSeek-R1 leads
DeepSeek-R1: 46.3 (#68), Gemini 3.5 Flash Lite: 42.4 (#104)
| Benchmark | DeepSeek-R1 | Gemini 3.5 Flash Lite |
|---|---|---|
| SciCode | 35.7% | 41.3% |
| WeirdML | 41.6% | 39% |
| LMArena Coding | 1427 | 1453 |
| ALE-Bench | 804.12 | 765.27 |
| Aider Polyglot | 71.4% | — |
| LMArena WebDev | — | 1440 |
| LiveBench Coding | 66.7% | — |
| AlgoTune | 1.7 | — |
Agentic & Tool Use DeepSeek-R1 leads
DeepSeek-R1: 30.7 (#75), Gemini 3.5 Flash Lite: 25.7 (#107)
| Benchmark | DeepSeek-R1 | Gemini 3.5 Flash Lite |
|---|---|---|
| APEX-Agents | — | 29.3% |
| DeepResearch Bench | 35.1% | — |
| BALROG | 34.9% | — |
| GDP.pdf | — | 10% |
| METR Time Horizons | 53.8% | — |
Reasoning Gemini 3.5 Flash Lite leads
DeepSeek-R1: 18.6 (#278), Gemini 3.5 Flash Lite: 27.8 (#114)
| Benchmark | DeepSeek-R1 | Gemini 3.5 Flash Lite |
|---|---|---|
| ARC-AGI-2 | 1.3% | 10.3% |
| ARC-AGI-1 | 21.2% | 53.5% |
| CritPt | 1.1% | 0% |
| LMArena Hard Prompts | 1416 | 1441 |
| Epoch Capabilities Index | 141.29 | 145.13 |
| SimpleBench | 40.8% | — |
| Kagi LLM Benchmark | 69.4% | — |
| NYT Connections (extended) | — | 60.4% |
| Chess Puzzles | — | 22% |
| LiveBench Reasoning | 83.2% | — |
| Mystery Game Puzzles | — | 19% |
| DTBench | — | 83.5% |
| LiveBench Data Analysis | 69.8% | — |
| LMCA | — | 37.6% |
| ForecastBench | 60 | — |
| LiveBench | 71.6% | — |
Math DeepSeek-R1 leads
DeepSeek-R1: 43.8 (#79), Gemini 3.5 Flash Lite: 25.9 (#264)
| Benchmark | DeepSeek-R1 | Gemini 3.5 Flash Lite |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.4% | 71.1% |
| LMArena Math | 1400 | 1433 |
| FrontierMath (Tiers 1-3) | — | 26% |
| FrontierMath Tier 4 | — | 0% |
| ProofBench | — | 13% |
| Omni-MATH | 42.4% | — |
| LiveBench Math | 80.7% | — |
| MATH Level 5 | 96.6% | — |
Knowledge Gemini 3.5 Flash Lite leads
DeepSeek-R1: 44.5 (#87), Gemini 3.5 Flash Lite: 50.1 (#72)
| Benchmark | DeepSeek-R1 | Gemini 3.5 Flash Lite |
|---|---|---|
| GPQA Diamond | 76.3% | 83.3% |
| LMArena Expert | 1394 | 1435 |
| MMLU-Pro | 79.3% | — |
| Confabulations | 12.7% | — |
| Vectara Hallucination Rate | 11.3% | — |
| GPQA (HELM) | 66.6% | — |
Multimodal Not comparable
DeepSeek-R1: —, Gemini 3.5 Flash Lite: 41.1 (#40)
| Benchmark | DeepSeek-R1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Vision | — | 1268 |
Multilingual Gemini 3.5 Flash Lite leads
DeepSeek-R1: 52.4 (#85), Gemini 3.5 Flash Lite: 53.5 (#63)
| Benchmark | DeepSeek-R1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Non-English | 1412 | 1427 |
| LMArena Chinese | 1442 | 1469 |
| LMArena French | 1417 | 1451 |
| LMArena German | 1404 | 1454 |
| LMArena Japanese | 1391 | 1427 |
| LMArena Korean | 1360 | 1407 |
| LMArena Russian | 1423 | 1443 |
| LMArena Spanish | 1411 | 1442 |
Instruction Following Gemini 3.5 Flash Lite leads
DeepSeek-R1: 72.0 (#143), Gemini 3.5 Flash Lite: 74.8 (#85)
| Benchmark | DeepSeek-R1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Instruction Following | 1382 | 1420 |
| LiveBench Instruction Following | 80.5% | — |
| IFEval | 78.4% | — |
Long Context DeepSeek-R1 leads
DeepSeek-R1: 45.4 (#36), Gemini 3.5 Flash Lite: 43.9 (#84)
| Benchmark | DeepSeek-R1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Longer Query | 1391 | 1435 |
| Fiction.LiveBench | 75% | — |
Writing & Preference Gemini 3.5 Flash Lite leads
DeepSeek-R1: 61.4 (#88), Gemini 3.5 Flash Lite: 64.2 (#57)
| Benchmark | DeepSeek-R1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Text | 1428 | 1435 |
| LMArena Creative Writing | 1405 | 1420 |
| EQ-Bench Creative Writing | 1500 | 1559 |
| LMArena Multi-Turn | 1405 | 1445 |
| Short-Story Creative Writing | 83% | — |
| WildBench | 82.8% | — |
| LiveBench Language | 48.5% | — |
Frequently asked questions
Is DeepSeek-R1 better than Gemini 3.5 Flash Lite?
DeepSeek-R1 and Gemini 3.5 Flash Lite score almost the same on the Noometry Index (42.3 vs 41.5), so choose on price, context window or the category you care about most.
Which is cheaper, DeepSeek-R1 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-R1 lists at $0.50 and $2.15.
Is DeepSeek-R1 or Gemini 3.5 Flash Lite better for coding?
DeepSeek-R1 scores higher on coding benchmarks: 46.3 versus 42.4 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-R1 and Gemini 3.5 Flash Lite share?
27 benchmarks have published results for both models. DeepSeek-R1 has 52 scored results on Noometry and Gemini 3.5 Flash Lite has 39.