Model comparison
DeepSeek LLM 67B vs Gemini 1.0 Pro
Gemini 1.0 Pro is the stronger model overall, scoring 27.3 to 24.9 on the Noometry Index.
Last verified . 14 shared benchmarks.
DeepSeek
GoogleSummary
- They share 14 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Gemini 1.0 Pro in 8 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 1.0 Pro leads 15.6 to 7.0.
- The biggest single-benchmark swing is GPQA Diamond: 24.6% for DeepSeek LLM 67B and 34% for Gemini 1.0 Pro.
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek LLM 67B | Gemini 1.0 Pro | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 24.9 | 27.3 |
| Released | 2023-11-29 | 2023-12-13 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 15 | 24 |
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Category by category
Coding Too close to call
DeepSeek LLM 67B: 31.9 (#278), Gemini 1.0 Pro: 32.2 (#275)
| Benchmark | DeepSeek LLM 67B | Gemini 1.0 Pro |
|---|---|---|
| LMArena Coding | 1096 | 1108 |
| HumanEval+ | — | 55.5% |
| MBPP+ | — | 61.4% |
Reasoning Too close to call
DeepSeek LLM 67B: 16.5 (#304), Gemini 1.0 Pro: 17.1 (#296)
| Benchmark | DeepSeek LLM 67B | Gemini 1.0 Pro |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1109 |
| Epoch Capabilities Index | 110.5 | 117.04 |
| Chess Puzzles | 0% | — |
| DTBench | — | 45.9% |
Math Too close to call
DeepSeek LLM 67B: 8.7 (#324), Gemini 1.0 Pro: 9.3 (#321)
| Benchmark | DeepSeek LLM 67B | Gemini 1.0 Pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 1.1% |
| LMArena Math | 1108 | 1132 |
| MATH Level 5 | 6.4% | 11.2% |
Knowledge Gemini 1.0 Pro leads
DeepSeek LLM 67B: 7.0 (#313), Gemini 1.0 Pro: 15.6 (#291)
| Benchmark | DeepSeek LLM 67B | Gemini 1.0 Pro |
|---|---|---|
| GPQA Diamond | 24.6% | 34% |
| LMArena Expert | — | 1059 |
| MMLU | — | 70% |
Multilingual Gemini 1.0 Pro leads
DeepSeek LLM 67B: 29.4 (#267), Gemini 1.0 Pro: 33.4 (#252)
| Benchmark | DeepSeek LLM 67B | Gemini 1.0 Pro |
|---|---|---|
| LMArena Non-English | 1073 | 1138 |
| LMArena Chinese | 1132 | 1124 |
| LMArena French | — | 1145 |
| LMArena German | — | 1125 |
| LMArena Japanese | — | 1023 |
| LMArena Russian | — | 1186 |
| LMArena Spanish | — | 1119 |
Instruction Following Gemini 1.0 Pro leads
DeepSeek LLM 67B: 55.4 (#277), Gemini 1.0 Pro: 57.6 (#267)
| Benchmark | DeepSeek LLM 67B | Gemini 1.0 Pro |
|---|---|---|
| LMArena Instruction Following | 1079 | 1114 |
Long Context Gemini 1.0 Pro leads
DeepSeek LLM 67B: 33.1 (#265), Gemini 1.0 Pro: 34.3 (#249)
| Benchmark | DeepSeek LLM 67B | Gemini 1.0 Pro |
|---|---|---|
| LMArena Longer Query | 1092 | 1132 |
Writing & Preference Gemini 1.0 Pro leads
DeepSeek LLM 67B: 31.6 (#282), Gemini 1.0 Pro: 36.0 (#264)
| Benchmark | DeepSeek LLM 67B | Gemini 1.0 Pro |
|---|---|---|
| LMArena Text | 1105 | 1149 |
| LMArena Creative Writing | 1067 | 1131 |
| LMArena Multi-Turn | 1082 | 1139 |
Frequently asked questions
Is DeepSeek LLM 67B better than Gemini 1.0 Pro?
Gemini 1.0 Pro is the stronger model overall, scoring 27.3 to 24.9 on the Noometry Index.
Is DeepSeek LLM 67B or Gemini 1.0 Pro better for coding?
They score almost the same on coding (31.9 vs 32.2); test both on your own repository before choosing.
How many benchmarks do DeepSeek LLM 67B and Gemini 1.0 Pro share?
14 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Gemini 1.0 Pro has 24.