Model comparison
Deepseek Coder v2 vs Gemini 3 Deep Think
Deepseek Coder v2 has enough public results to be ranked (#217); Gemini 3 Deep Think does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
DeepSeek
GoogleSummary
- The widest gap is in reasoning, where Gemini 3 Deep Think leads 70.8 to 22.6.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.
Side by side
| Deepseek Coder v2 | Gemini 3 Deep Think | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 35.3 | 58.5 |
| Released | 2024-06-17 | 2026-02-12 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 24 | 3 |
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Category by category
Coding Not comparable
Deepseek Coder v2: 37.5 (#178), Gemini 3 Deep Think: —
| Benchmark | Deepseek Coder v2 | Gemini 3 Deep Think |
|---|---|---|
| BigCodeBench Instruct | 48.2% | — |
| LMArena Coding | 1251 | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Reasoning Gemini 3 Deep Think leads
Deepseek Coder v2: 22.6 (#175), Gemini 3 Deep Think: 70.8 (#11)
| Benchmark | Deepseek Coder v2 | Gemini 3 Deep Think |
|---|---|---|
| ARC-AGI-2 | — | 84.6% |
| ARC-AGI-1 | — | 96% |
| CritPt | — | 25.7% |
| LMArena Hard Prompts | 1207 | — |
| WinoGrande | 83.7% | — |
Math Not comparable
Deepseek Coder v2: 32.3 (#188), Gemini 3 Deep Think: —
| Benchmark | Deepseek Coder v2 | Gemini 3 Deep Think |
|---|---|---|
| LMArena Math | 1241 | — |
| GSM8K | 94.5% | — |
Knowledge Not comparable
Deepseek Coder v2: 31.7 (#209), Gemini 3 Deep Think: —
| Benchmark | Deepseek Coder v2 | Gemini 3 Deep Think |
|---|---|---|
| LMArena Expert | 1181 | — |
| ARC (AI2) Challenge | 64.3% | — |
Multilingual Not comparable
Deepseek Coder v2: 36.4 (#235), Gemini 3 Deep Think: —
| Benchmark | Deepseek Coder v2 | Gemini 3 Deep Think |
|---|---|---|
| LMArena Non-English | 1182 | — |
| LMArena Chinese | 1201 | — |
| LMArena French | 1184 | — |
| LMArena German | 1164 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Russian | 1188 | — |
| LMArena Spanish | 1153 | — |
Instruction Following Not comparable
Deepseek Coder v2: 61.9 (#237), Gemini 3 Deep Think: —
| Benchmark | Deepseek Coder v2 | Gemini 3 Deep Think |
|---|---|---|
| LMArena Instruction Following | 1180 | — |
Long Context Not comparable
Deepseek Coder v2: 37.0 (#219), Gemini 3 Deep Think: —
| Benchmark | Deepseek Coder v2 | Gemini 3 Deep Think |
|---|---|---|
| LMArena Longer Query | 1219 | — |
Writing & Preference Not comparable
Deepseek Coder v2: 38.4 (#249), Gemini 3 Deep Think: —
| Benchmark | Deepseek Coder v2 | Gemini 3 Deep Think |
|---|---|---|
| LMArena Text | 1191 | — |
| LMArena Creative Writing | 1120 | — |
| LMArena Multi-Turn | 1176 | — |
Frequently asked questions
Is Deepseek Coder v2 better than Gemini 3 Deep Think?
Deepseek Coder v2 has enough public results to be ranked (#217); Gemini 3 Deep Think does not yet, so treat this comparison as directional.
How many benchmarks do Deepseek Coder v2 and Gemini 3 Deep Think share?
0 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Gemini 3 Deep Think has 3.