Model comparison
Deepseek Coder v2 vs Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite is the stronger model overall, scoring 41.8 to 35.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
DeepSeek
GoogleSummary
- They share 17 benchmarks with published results for both. Deepseek Coder v2 scores higher in 1 category and Gemini 3.5 Flash Lite in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 3.5 Flash Lite leads 64.4 to 38.4.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.
Side by side
| Deepseek Coder v2 | Gemini 3.5 Flash Lite | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 35.3 | 41.8 |
| Released | 2024-06-17 | 2026-07-21 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $2.50 |
| Results tracked | 24 | 38 |
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Category by category
Coding Gemini 3.5 Flash Lite leads
Deepseek Coder v2: 37.5 (#178), Gemini 3.5 Flash Lite: 42.1 (#96)
| Benchmark | Deepseek Coder v2 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Coding | 1251 | 1455 |
| LMArena WebDev | — | 1440 |
| SciCode | — | 41.3% |
| WeirdML | — | 39% |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| ALE-Bench | — | 765.27 |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Agentic & Tool Use Not comparable
Deepseek Coder v2: —, Gemini 3.5 Flash Lite: 28.6 (#82)
| Benchmark | Deepseek Coder v2 | Gemini 3.5 Flash Lite |
|---|---|---|
| GDP.pdf | — | 10% |
Reasoning Gemini 3.5 Flash Lite leads
Deepseek Coder v2: 22.6 (#175), Gemini 3.5 Flash Lite: 27.8 (#95)
| Benchmark | Deepseek Coder v2 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1441 |
| ARC-AGI-2 | — | 10.3% |
| NYT Connections (extended) | — | 60.4% |
| ARC-AGI-1 | — | 53.5% |
| CritPt | — | 0% |
| Chess Puzzles | — | 22% |
| Mystery Game Puzzles | — | 19% |
| DTBench | — | 83.5% |
| LMCA | — | 37.6% |
| Epoch Capabilities Index | — | 145.12 |
| WinoGrande | 83.7% | — |
Math Deepseek Coder v2 leads
Deepseek Coder v2: 32.3 (#188), Gemini 3.5 Flash Lite: 25.7 (#245)
| Benchmark | Deepseek Coder v2 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Math | 1241 | 1431 |
| FrontierMath (Tiers 1-3) | — | 26% |
| FrontierMath Tier 4 | — | 0% |
| OTIS Mock AIME 2024-2025 | — | 71.1% |
| ProofBench | — | 13% |
| GSM8K | 94.5% | — |
Knowledge Gemini 3.5 Flash Lite leads
Deepseek Coder v2: 31.7 (#209), Gemini 3.5 Flash Lite: 50.0 (#66)
| Benchmark | Deepseek Coder v2 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Expert | 1181 | 1430 |
| GPQA Diamond | — | 83.3% |
| ARC (AI2) Challenge | 64.3% | — |
Multimodal Not comparable
Deepseek Coder v2: —, Gemini 3.5 Flash Lite: 40.3 (#38)
| Benchmark | Deepseek Coder v2 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Vision | — | 1266 |
Multilingual Gemini 3.5 Flash Lite leads
Deepseek Coder v2: 36.4 (#235), Gemini 3.5 Flash Lite: 53.8 (#59)
| Benchmark | Deepseek Coder v2 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Non-English | 1182 | 1428 |
| LMArena Chinese | 1201 | 1467 |
| LMArena French | 1184 | 1452 |
| LMArena German | 1164 | 1454 |
| LMArena Japanese | 1126 | 1428 |
| LMArena Korean | 1104 | 1406 |
| LMArena Russian | 1188 | 1443 |
| LMArena Spanish | 1153 | 1440 |
Instruction Following Gemini 3.5 Flash Lite leads
Deepseek Coder v2: 61.9 (#237), Gemini 3.5 Flash Lite: 75.0 (#77)
| Benchmark | Deepseek Coder v2 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Instruction Following | 1180 | 1420 |
Long Context Gemini 3.5 Flash Lite leads
Deepseek Coder v2: 37.0 (#219), Gemini 3.5 Flash Lite: 43.8 (#80)
| Benchmark | Deepseek Coder v2 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Longer Query | 1219 | 1435 |
Writing & Preference Gemini 3.5 Flash Lite leads
Deepseek Coder v2: 38.4 (#249), Gemini 3.5 Flash Lite: 64.4 (#55)
| Benchmark | Deepseek Coder v2 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Text | 1191 | 1436 |
| LMArena Creative Writing | 1120 | 1419 |
| LMArena Multi-Turn | 1176 | 1445 |
| EQ-Bench Creative Writing | — | 1559 |
Frequently asked questions
Is Deepseek Coder v2 better than Gemini 3.5 Flash Lite?
Gemini 3.5 Flash Lite is the stronger model overall, scoring 41.8 to 35.3 on the Noometry Index.
Is Deepseek Coder v2 or Gemini 3.5 Flash Lite better for coding?
Gemini 3.5 Flash Lite scores higher on coding benchmarks: 42.1 versus 37.5 in the Noometry coding category.
How many benchmarks do Deepseek Coder v2 and Gemini 3.5 Flash Lite share?
17 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Gemini 3.5 Flash Lite has 38.