Model comparison
DeepSeek V4 Flash vs Gemini 3.5 Flash Lite
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 41.5 on the Noometry Index.
Last verified . 36 shared benchmarks.
Summary
- They share 36 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 5 categories and Gemini 3.5 Flash Lite in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4 Flash leads 60.3 to 25.9.
- The biggest single-benchmark swing is ARC-AGI-2: 61.4% for DeepSeek V4 Flash and 10.3% for Gemini 3.5 Flash Lite.
- DeepSeek V4 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 Flash has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4 Flash | Gemini 3.5 Flash Lite | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 53.6 | 41.5 |
| Released | 2026-04-24 | 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 | 41 | 39 |
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Category by category
Coding DeepSeek V4 Flash leads
DeepSeek V4 Flash: 47.9 (#59), Gemini 3.5 Flash Lite: 42.4 (#104)
| Benchmark | DeepSeek V4 Flash | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena WebDev | 1582 | 1440 |
| SciCode | 49.9% | 41.3% |
| WeirdML | 63% | 39% |
| LMArena Coding | 1457 | 1453 |
| ALE-Bench | 1,306 | 765.27 |
| FrontierCode | 18.8% | — |
Agentic & Tool Use Not comparable
DeepSeek V4 Flash: —, Gemini 3.5 Flash Lite: 25.7 (#107)
| Benchmark | DeepSeek V4 Flash | Gemini 3.5 Flash Lite |
|---|---|---|
| APEX-Agents | — | 29.3% |
| GDP.pdf | — | 10% |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), Gemini 3.5 Flash Lite: 27.8 (#114)
| Benchmark | DeepSeek V4 Flash | Gemini 3.5 Flash Lite |
|---|---|---|
| ARC-AGI-2 | 61.4% | 10.3% |
| NYT Connections (extended) | 89.6% | 60.4% |
| ARC-AGI-1 | 89% | 53.5% |
| CritPt | 16.6% | 0% |
| Chess Puzzles | 33% | 22% |
| LMArena Hard Prompts | 1444 | 1441 |
| Mystery Game Puzzles | 34% | 19% |
| DTBench | 90.9% | 83.5% |
| LMCA | 41.7% | 37.6% |
| Epoch Capabilities Index | 154.49 | 145.13 |
| SimpleBench | 61.1% | — |
| Kagi LLM Benchmark | 52.2% | — |
Math DeepSeek V4 Flash leads
DeepSeek V4 Flash: 60.3 (#37), Gemini 3.5 Flash Lite: 25.9 (#264)
| Benchmark | DeepSeek V4 Flash | Gemini 3.5 Flash Lite |
|---|---|---|
| FrontierMath (Tiers 1-3) | 57.5% | 26% |
| FrontierMath Tier 4 | 24.4% | 0% |
| OTIS Mock AIME 2024-2025 | 94.4% | 71.1% |
| ProofBench | 56% | 13% |
| LMArena Math | 1427 | 1433 |
| MathArena Final-Answer Competitions | 76.5% | — |
Knowledge DeepSeek V4 Flash leads
DeepSeek V4 Flash: 55.4 (#48), Gemini 3.5 Flash Lite: 50.1 (#72)
| Benchmark | DeepSeek V4 Flash | Gemini 3.5 Flash Lite |
|---|---|---|
| GPQA Diamond | 91% | 83.3% |
| LMArena Expert | 1441 | 1435 |
| SimpleQA Verified | 33.6% | — |
Multimodal Not comparable
DeepSeek V4 Flash: —, Gemini 3.5 Flash Lite: 41.1 (#40)
| Benchmark | DeepSeek V4 Flash | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Vision | — | 1268 |
Multilingual Too close to call
DeepSeek V4 Flash: 53.0 (#72), Gemini 3.5 Flash Lite: 53.5 (#63)
| Benchmark | DeepSeek V4 Flash | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Non-English | 1420 | 1427 |
| LMArena Chinese | 1468 | 1469 |
| LMArena French | 1439 | 1451 |
| LMArena German | 1418 | 1454 |
| LMArena Japanese | 1406 | 1427 |
| LMArena Korean | 1384 | 1407 |
| LMArena Russian | 1428 | 1443 |
| LMArena Spanish | 1436 | 1442 |
Instruction Following Too close to call
DeepSeek V4 Flash: 74.9 (#81), Gemini 3.5 Flash Lite: 74.8 (#85)
| Benchmark | DeepSeek V4 Flash | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Instruction Following | 1421 | 1420 |
Long Context Too close to call
DeepSeek V4 Flash: 43.8 (#85), Gemini 3.5 Flash Lite: 43.9 (#84)
| Benchmark | DeepSeek V4 Flash | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Longer Query | 1434 | 1435 |
Writing & Preference Too close to call
DeepSeek V4 Flash: 63.8 (#61), Gemini 3.5 Flash Lite: 64.2 (#57)
| Benchmark | DeepSeek V4 Flash | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Text | 1432 | 1435 |
| LMArena Creative Writing | 1403 | 1420 |
| EQ-Bench Creative Writing | 1559 | 1559 |
| LMArena Multi-Turn | 1449 | 1445 |
Frequently asked questions
Is DeepSeek V4 Flash better than Gemini 3.5 Flash Lite?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 41.5 on the Noometry Index.
Which is cheaper, DeepSeek V4 Flash or Gemini 3.5 Flash Lite?
DeepSeek V4 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 Flash or Gemini 3.5 Flash Lite better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 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 1M.
How many benchmarks do DeepSeek V4 Flash and Gemini 3.5 Flash Lite share?
36 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Gemini 3.5 Flash Lite has 39.