Model comparison
DeepSeek V4 Flash vs Gemini 2.0 Flash-Lite
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 37.8 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 8 categories and Gemini 2.0 Flash-Lite in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 22.0.
- The biggest single-benchmark swing is DTBench: 90.9% for DeepSeek V4 Flash and 52.5% for Gemini 2.0 Flash-Lite.
- DeepSeek V4 Flash has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4 Flash | Gemini 2.0 Flash-Lite | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 53.6 | 37.8 |
| Released | 2026-04-24 | 2025-02-05 |
| Weights | Open | Proprietary |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 41 | 32 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek V4 Flash leads
DeepSeek V4 Flash: 47.9 (#59), Gemini 2.0 Flash-Lite: 37.9 (#185)
| Benchmark | DeepSeek V4 Flash | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Coding | 1457 | 1322 |
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| LiveBench Coding | — | 47.1% |
| ALE-Bench | 1,306 | — |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), Gemini 2.0 Flash-Lite: 22.0 (#210)
| Benchmark | DeepSeek V4 Flash | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Hard Prompts | 1444 | 1324 |
| DTBench | 90.9% | 52.5% |
| ARC-AGI-2 | 61.4% | — |
| SimpleBench | 61.1% | — |
| Kagi LLM Benchmark | 52.2% | — |
| NYT Connections (extended) | 89.6% | — |
| ARC-AGI-1 | 89% | — |
| CritPt | 16.6% | — |
| Chess Puzzles | 33% | — |
| LiveBench Reasoning | — | 50.1% |
| Mystery Game Puzzles | 34% | — |
| LiveBench Data Analysis | — | 65.5% |
| LMCA | 41.7% | — |
| Epoch Capabilities Index | 154.49 | — |
| ForecastBench | — | 57.1 |
| LiveBench | — | 54.3% |
Math DeepSeek V4 Flash leads
DeepSeek V4 Flash: 60.3 (#37), Gemini 2.0 Flash-Lite: 34.1 (#196)
| Benchmark | DeepSeek V4 Flash | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Math | 1427 | 1309 |
| FrontierMath (Tiers 1-3) | 57.5% | — |
| FrontierMath Tier 4 | 24.4% | — |
| MathArena Final-Answer Competitions | 76.5% | — |
| OTIS Mock AIME 2024-2025 | 94.4% | — |
| ProofBench | 56% | — |
| Omni-MATH | — | 37.4% |
| LiveBench Math | — | 58.1% |
Knowledge DeepSeek V4 Flash leads
DeepSeek V4 Flash: 55.4 (#48), Gemini 2.0 Flash-Lite: 35.0 (#189)
| Benchmark | DeepSeek V4 Flash | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Expert | 1441 | 1305 |
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 33.6% | — |
| MMLU-Pro | — | 72% |
| GPQA (HELM) | — | 50% |
Multimodal Not comparable
DeepSeek V4 Flash: —, Gemini 2.0 Flash-Lite: 31.2 (#109)
| Benchmark | DeepSeek V4 Flash | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Vision | — | 1100 |
Multilingual DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.0 (#72), Gemini 2.0 Flash-Lite: 46.0 (#161)
| Benchmark | DeepSeek V4 Flash | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Non-English | 1420 | 1323 |
| LMArena Chinese | 1468 | 1339 |
| LMArena French | 1439 | 1347 |
| LMArena German | 1418 | 1306 |
| LMArena Japanese | 1406 | 1301 |
| LMArena Korean | 1384 | 1325 |
| LMArena Russian | 1428 | 1328 |
| LMArena Spanish | 1436 | 1313 |
Instruction Following DeepSeek V4 Flash leads
DeepSeek V4 Flash: 74.9 (#81), Gemini 2.0 Flash-Lite: 70.4 (#163)
| Benchmark | DeepSeek V4 Flash | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Instruction Following | 1421 | 1305 |
| LiveBench Instruction Following | — | 78.3% |
| IFEval | — | 82.4% |
Long Context DeepSeek V4 Flash leads
DeepSeek V4 Flash: 43.8 (#85), Gemini 2.0 Flash-Lite: 40.1 (#160)
| Benchmark | DeepSeek V4 Flash | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Longer Query | 1434 | 1320 |
Writing & Preference DeepSeek V4 Flash leads
DeepSeek V4 Flash: 63.8 (#61), Gemini 2.0 Flash-Lite: 51.7 (#177)
| Benchmark | DeepSeek V4 Flash | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Text | 1432 | 1330 |
| LMArena Creative Writing | 1403 | 1319 |
| LMArena Multi-Turn | 1449 | 1307 |
| EQ-Bench Creative Writing | 1559 | — |
| WildBench | — | 79% |
| LiveBench Language | — | 34.3% |
Frequently asked questions
Is DeepSeek V4 Flash better than Gemini 2.0 Flash-Lite?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 37.8 on the Noometry Index.
Is DeepSeek V4 Flash or Gemini 2.0 Flash-Lite better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 37.9 in the Noometry coding category.
How many benchmarks do DeepSeek V4 Flash and Gemini 2.0 Flash-Lite share?
18 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Gemini 2.0 Flash-Lite has 32.