Model comparison
DeepSeek LLM 67B vs Gemma 1.1 7b IT
Gemma 1.1 7b IT is the stronger model overall, scoring 31.3 to 24.9 on the Noometry Index.
Last verified . 10 shared benchmarks.
DeepSeek
GoogleSummary
- They share 10 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 5 categories and Gemma 1.1 7b IT in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 1.1 7b IT leads 32.0 to 8.7.
Side by side
| DeepSeek LLM 67B | Gemma 1.1 7b IT | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 24.9 | 31.3 |
| Released | 2023-11-29 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 15 | 19 |
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Category by category
Coding Too close to call
DeepSeek LLM 67B: 31.9 (#278), Gemma 1.1 7b IT: 31.5 (#284)
| Benchmark | DeepSeek LLM 67B | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Coding | 1096 | 1084 |
| HumanEval+ | — | 35.4% |
| MBPP+ | — | 45% |
Reasoning Gemma 1.1 7b IT leads
DeepSeek LLM 67B: 16.5 (#304), Gemma 1.1 7b IT: 20.5 (#238)
| Benchmark | DeepSeek LLM 67B | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1071 |
| Chess Puzzles | 0% | — |
| Epoch Capabilities Index | 110.5 | — |
Math Gemma 1.1 7b IT leads
DeepSeek LLM 67B: 8.7 (#324), Gemma 1.1 7b IT: 32.0 (#220)
| Benchmark | DeepSeek LLM 67B | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Math | 1108 | 1107 |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| MATH Level 5 | 6.4% | — |
Knowledge Gemma 1.1 7b IT leads
DeepSeek LLM 67B: 7.0 (#313), Gemma 1.1 7b IT: 28.3 (#247)
| Benchmark | DeepSeek LLM 67B | Gemma 1.1 7b IT |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| LMArena Expert | — | 1039 |
Multilingual DeepSeek LLM 67B leads
DeepSeek LLM 67B: 29.4 (#267), Gemma 1.1 7b IT: 28.1 (#273)
| Benchmark | DeepSeek LLM 67B | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Non-English | 1073 | 1052 |
| LMArena Chinese | 1132 | 1061 |
| LMArena French | — | 1065 |
| LMArena German | — | 1054 |
| LMArena Japanese | — | 971 |
| LMArena Korean | — | 988 |
| LMArena Russian | — | 1046 |
| LMArena Spanish | — | 1049 |
Instruction Following DeepSeek LLM 67B leads
DeepSeek LLM 67B: 55.4 (#277), Gemma 1.1 7b IT: 54.0 (#283)
| Benchmark | DeepSeek LLM 67B | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Instruction Following | 1079 | 1057 |
Long Context DeepSeek LLM 67B leads
DeepSeek LLM 67B: 33.1 (#265), Gemma 1.1 7b IT: 32.1 (#272)
| Benchmark | DeepSeek LLM 67B | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Longer Query | 1092 | 1056 |
Writing & Preference DeepSeek LLM 67B leads
DeepSeek LLM 67B: 31.6 (#282), Gemma 1.1 7b IT: 30.4 (#288)
| Benchmark | DeepSeek LLM 67B | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Text | 1105 | 1094 |
| LMArena Creative Writing | 1067 | 1060 |
| LMArena Multi-Turn | 1082 | 1040 |
Frequently asked questions
Is DeepSeek LLM 67B better than Gemma 1.1 7b IT?
Gemma 1.1 7b IT is the stronger model overall, scoring 31.3 to 24.9 on the Noometry Index.
Is DeepSeek LLM 67B or Gemma 1.1 7b IT better for coding?
They score almost the same on coding (31.9 vs 31.5); test both on your own repository before choosing.
How many benchmarks do DeepSeek LLM 67B and Gemma 1.1 7b IT share?
10 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Gemma 1.1 7b IT has 19.