Model comparison
DeepSeek LLM 67B vs Gemma 3 12B
Gemma 3 12B is the stronger model overall, scoring 32.1 to 24.9 on the Noometry Index.
Last verified . 13 shared benchmarks.
DeepSeek
GoogleSummary
- They share 13 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 2 categories and Gemma 3 12B in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemma 3 12B leads 26.5 to 7.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.8% for DeepSeek LLM 67B and 16.7% for Gemma 3 12B.
Side by side
| DeepSeek LLM 67B | Gemma 3 12B | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 24.9 | 32.1 |
| Released | 2023-11-29 | 2025-03-12 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 15 | 24 |
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Category by category
Coding Too close to call
DeepSeek LLM 67B: 31.9 (#278), Gemma 3 12B: 31.7 (#280)
| Benchmark | DeepSeek LLM 67B | Gemma 3 12B |
|---|---|---|
| LMArena Coding | 1096 | 1281 |
| SciCode | — | 17.4% |
Agentic & Tool Use Not comparable
DeepSeek LLM 67B: —, Gemma 3 12B: 25.5 (#108)
| Benchmark | DeepSeek LLM 67B | Gemma 3 12B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 30.4% |
Reasoning Too close to call
DeepSeek LLM 67B: 16.5 (#304), Gemma 3 12B: 15.7 (#313)
| Benchmark | DeepSeek LLM 67B | Gemma 3 12B |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| LMArena Hard Prompts | 1070 | 1309 |
| Epoch Capabilities Index | 110.5 | 123.5 |
| CritPt | — | 0% |
| DTBench | — | 48.8% |
| LMCA | — | 4.5% |
Math Gemma 3 12B leads
DeepSeek LLM 67B: 8.7 (#324), Gemma 3 12B: 22.3 (#279)
| Benchmark | DeepSeek LLM 67B | Gemma 3 12B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 16.7% |
| LMArena Math | 1108 | 1307 |
| MATH Level 5 | 6.4% | — |
Knowledge Gemma 3 12B leads
DeepSeek LLM 67B: 7.0 (#313), Gemma 3 12B: 26.5 (#257)
| Benchmark | DeepSeek LLM 67B | Gemma 3 12B |
|---|---|---|
| GPQA Diamond | 24.6% | 39.5% |
| Vectara Hallucination Rate | — | 4.4% |
| LMArena Expert | — | 1248 |
Multimodal Not comparable
DeepSeek LLM 67B: —, Gemma 3 12B: —
| Benchmark | DeepSeek LLM 67B | Gemma 3 12B |
|---|---|---|
| MindCube | — | 46.7% |
Multilingual Gemma 3 12B leads
DeepSeek LLM 67B: 29.4 (#267), Gemma 3 12B: 45.7 (#165)
| Benchmark | DeepSeek LLM 67B | Gemma 3 12B |
|---|---|---|
| LMArena Non-English | 1073 | 1318 |
| LMArena Chinese | 1132 | — |
| LMArena German | — | 1370 |
| LMArena Russian | — | 1335 |
Instruction Following Gemma 3 12B leads
DeepSeek LLM 67B: 55.4 (#277), Gemma 3 12B: 68.6 (#186)
| Benchmark | DeepSeek LLM 67B | Gemma 3 12B |
|---|---|---|
| LMArena Instruction Following | 1079 | 1299 |
Long Context Gemma 3 12B leads
DeepSeek LLM 67B: 33.1 (#265), Gemma 3 12B: 40.0 (#162)
| Benchmark | DeepSeek LLM 67B | Gemma 3 12B |
|---|---|---|
| LMArena Longer Query | 1092 | 1317 |
Writing & Preference Gemma 3 12B leads
DeepSeek LLM 67B: 31.6 (#282), Gemma 3 12B: 47.5 (#209)
| Benchmark | DeepSeek LLM 67B | Gemma 3 12B |
|---|---|---|
| LMArena Text | 1105 | 1334 |
| LMArena Creative Writing | 1067 | 1331 |
| LMArena Multi-Turn | 1082 | 1334 |
| EQ-Bench Creative Writing | — | 1126 |
Frequently asked questions
Is DeepSeek LLM 67B better than Gemma 3 12B?
Gemma 3 12B is the stronger model overall, scoring 32.1 to 24.9 on the Noometry Index.
Is DeepSeek LLM 67B or Gemma 3 12B better for coding?
They score almost the same on coding (31.9 vs 31.7); test both on your own repository before choosing.
How many benchmarks do DeepSeek LLM 67B and Gemma 3 12B share?
13 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Gemma 3 12B has 24.