Model comparison
DeepSeek V4.1 Flash vs Gemini 3.5 Flash Lite
DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 41.8 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 7 categories and Gemini 3.5 Flash Lite in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4.1 Flash leads 48.4 to 25.7.
- The biggest single-benchmark swing is ProofBench: 54% for DeepSeek V4.1 Flash and 13% for Gemini 3.5 Flash Lite.
- DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 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 1M.
- DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4.1 Flash | Gemini 3.5 Flash Lite | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 50.3 | 41.8 |
| Released | 2026-09-09 | 2026-07-21 |
| Weights | Open | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 393K | 66K |
| Input $ / M tokens | $0.15 | $0.30 |
| Output $ / M tokens | $0.60 | $2.50 |
| Results tracked | 25 | 38 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.8 (#29), Gemini 3.5 Flash Lite: 42.1 (#96)
| Benchmark | DeepSeek V4.1 Flash | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena WebDev | 1620 | 1440 |
| SciCode | 51.9% | 41.3% |
| LMArena Coding | 1511 | 1455 |
| ALE-Bench | 1,092 | 765.27 |
| WeirdML | — | 39% |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: —, Gemini 3.5 Flash Lite: 28.6 (#82)
| Benchmark | DeepSeek V4.1 Flash | Gemini 3.5 Flash Lite |
|---|---|---|
| GDP.pdf | — | 10% |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 46.2 (#39), Gemini 3.5 Flash Lite: 27.8 (#95)
| Benchmark | DeepSeek V4.1 Flash | Gemini 3.5 Flash Lite |
|---|---|---|
| NYT Connections (extended) | 89.6% | 60.4% |
| CritPt | 14.3% | 0% |
| LMArena Hard Prompts | 1485 | 1441 |
| DTBench | 89.9% | 83.5% |
| LMCA | 47% | 37.6% |
| Epoch Capabilities Index | 155.01 | 145.12 |
| ARC-AGI-2 | — | 10.3% |
| ARC-AGI-1 | — | 53.5% |
| Chess Puzzles | — | 22% |
| Mystery Game Puzzles | — | 19% |
| Surface Evolver Bench | 46.3% | — |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 48.4 (#52), Gemini 3.5 Flash Lite: 25.7 (#245)
| Benchmark | DeepSeek V4.1 Flash | Gemini 3.5 Flash Lite |
|---|---|---|
| ProofBench | 54% | 13% |
| LMArena Math | 1493 | 1431 |
| FrontierMath (Tiers 1-3) | — | 26% |
| FrontierMath Tier 4 | — | 0% |
| OTIS Mock AIME 2024-2025 | — | 71.1% |
Knowledge Gemini 3.5 Flash Lite leads
DeepSeek V4.1 Flash: 41.6 (#97), Gemini 3.5 Flash Lite: 50.0 (#66)
| Benchmark | DeepSeek V4.1 Flash | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Expert | 1505 | 1430 |
| GPQA Diamond | — | 83.3% |
Multimodal Not comparable
DeepSeek V4.1 Flash: —, Gemini 3.5 Flash Lite: 40.3 (#38)
| Benchmark | DeepSeek V4.1 Flash | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Vision | — | 1266 |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 55.5 (#29), Gemini 3.5 Flash Lite: 53.8 (#59)
| Benchmark | DeepSeek V4.1 Flash | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Non-English | 1452 | 1428 |
| LMArena Chinese | 1506 | 1467 |
| LMArena French | 1448 | 1452 |
| LMArena Russian | 1473 | 1443 |
| LMArena Spanish | 1499 | 1440 |
| LMArena German | — | 1454 |
| LMArena Japanese | — | 1428 |
| LMArena Korean | — | 1406 |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.6 (#24), Gemini 3.5 Flash Lite: 75.0 (#77)
| Benchmark | DeepSeek V4.1 Flash | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Instruction Following | 1475 | 1420 |
Long Context DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 45.2 (#46), Gemini 3.5 Flash Lite: 43.8 (#80)
| Benchmark | DeepSeek V4.1 Flash | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Longer Query | 1476 | 1435 |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.8 (#43), Gemini 3.5 Flash Lite: 64.4 (#55)
| Benchmark | DeepSeek V4.1 Flash | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Text | 1465 | 1436 |
| LMArena Creative Writing | 1436 | 1419 |
| EQ-Bench Creative Writing | 1540 | 1559 |
| LMArena Multi-Turn | 1460 | 1445 |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Gemini 3.5 Flash Lite?
DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 41.8 on the Noometry Index.
Which is cheaper, DeepSeek V4.1 Flash or Gemini 3.5 Flash Lite?
DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Gemini 3.5 Flash Lite lists at $0.30 and $2.50.
Is DeepSeek V4.1 Flash or Gemini 3.5 Flash Lite better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 42.1 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.5 Flash Lite does, with 1.05M tokens against 1M.
How many benchmarks do DeepSeek V4.1 Flash and Gemini 3.5 Flash Lite share?
24 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and Gemini 3.5 Flash Lite has 38.