Model comparison
Deepseek Coder v2 vs Gemini 2.0 Pro
Gemini 2.0 Pro is the stronger model overall, scoring 39.1 to 35.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
GoogleSummary
- The widest gap is in writing & preference, where Gemini 2.0 Pro leads 52.7 to 38.2.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.
Side by side
| Deepseek Coder v2 | Gemini 2.0 Pro | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 35.9 | 39.1 |
| Released | 2024-06-17 | 2025-02-05 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 24 | 14 |
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Category by category
Coding Too close to call
Deepseek Coder v2: 38.1 (#183), Gemini 2.0 Pro: 37.8 (#187)
| Benchmark | Deepseek Coder v2 | Gemini 2.0 Pro |
|---|---|---|
| Aider Polyglot | — | 35.6% |
| BigCodeBench Instruct | 48.2% | — |
| LiveBench Coding | — | 63.5% |
| LMArena Coding | 1251 | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Reasoning Deepseek Coder v2 leads
Deepseek Coder v2: 23.6 (#176), Gemini 2.0 Pro: 22.3 (#198)
| Benchmark | Deepseek Coder v2 | Gemini 2.0 Pro |
|---|---|---|
| EnigmaEval | — | 0.7% |
| LiveBench Reasoning | — | 60.1% |
| LMArena Hard Prompts | 1207 | — |
| LiveBench Data Analysis | — | 68% |
| Epoch Capabilities Index | — | 135.06 |
| LiveBench | — | 65.1% |
| WinoGrande | 83.7% | — |
Math Gemini 2.0 Pro leads
Deepseek Coder v2: 34.9 (#190), Gemini 2.0 Pro: 39.7 (#100)
| Benchmark | Deepseek Coder v2 | Gemini 2.0 Pro |
|---|---|---|
| LiveBench Math | — | 71% |
| LMArena Math | 1241 | — |
| MATH Level 5 | — | 83.5% |
| GSM8K | 94.5% | — |
Knowledge Gemini 2.0 Pro leads
Deepseek Coder v2: 32.3 (#212), Gemini 2.0 Pro: 36.5 (#167)
| Benchmark | Deepseek Coder v2 | Gemini 2.0 Pro |
|---|---|---|
| GPQA Diamond | — | 65.7% |
| Confabulations | — | 18.4% |
| LMArena Expert | 1181 | — |
| ARC (AI2) Challenge | 64.3% | — |
Multilingual Not comparable
Deepseek Coder v2: 36.3 (#240), Gemini 2.0 Pro: —
| Benchmark | Deepseek Coder v2 | Gemini 2.0 Pro |
|---|---|---|
| LMArena Non-English | 1182 | — |
| LMArena Chinese | 1201 | — |
| LMArena French | 1185 | — |
| LMArena German | 1164 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Russian | 1188 | — |
| LMArena Spanish | 1153 | — |
Instruction Following Gemini 2.0 Pro leads
Deepseek Coder v2: 61.7 (#242), Gemini 2.0 Pro: 75.5 (#59)
| Benchmark | Deepseek Coder v2 | Gemini 2.0 Pro |
|---|---|---|
| LiveBench Instruction Following | — | 83.4% |
| LMArena Instruction Following | 1180 | — |
Long Context Deepseek Coder v2 leads
Deepseek Coder v2: 37.0 (#224), Gemini 2.0 Pro: 29.2 (#292)
| Benchmark | Deepseek Coder v2 | Gemini 2.0 Pro |
|---|---|---|
| Fiction.LiveBench | — | 41.7% |
| LMArena Longer Query | 1219 | — |
Writing & Preference Gemini 2.0 Pro leads
Deepseek Coder v2: 38.2 (#253), Gemini 2.0 Pro: 52.7 (#165)
| Benchmark | Deepseek Coder v2 | Gemini 2.0 Pro |
|---|---|---|
| LMArena Text | 1191 | — |
| LMArena Creative Writing | 1120 | — |
| LMArena Multi-Turn | 1177 | — |
| LiveBench Language | — | 44.9% |
Frequently asked questions
Is Deepseek Coder v2 better than Gemini 2.0 Pro?
Gemini 2.0 Pro is the stronger model overall, scoring 39.1 to 35.9 on the Noometry Index.
Is Deepseek Coder v2 or Gemini 2.0 Pro better for coding?
They score almost the same on coding (38.1 vs 37.8); test both on your own repository before choosing.
How many benchmarks do Deepseek Coder v2 and Gemini 2.0 Pro share?
0 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Gemini 2.0 Pro has 14.