Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Gemini 1.5 Pro (May 2024)
Gemini 1.5 Pro (May 2024) has enough public results to be ranked (#261); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 5 shared benchmarks.
DeepSeek
GoogleSummary
- They share 5 benchmarks with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and Gemini 1.5 Pro (May 2024) in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 40.4 to 34.2.
- The biggest single-benchmark swing is BigCodeBench Instruct: 48.9% for DeepSeek-V2 (MoE-236B, May 2024) and 43.8% for Gemini 1.5 Pro (May 2024).
- DeepSeek-V2 (MoE-236B, May 2024) has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 40.3 | 32.1 |
| Released | 2024-05-07 | 2024-02-15 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 10 | 45 |
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Category by category
Coding DeepSeek-V2 (MoE-236B, May 2024) leads
DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139), Gemini 1.5 Pro (May 2024): 34.2 (#241)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| BigCodeBench Instruct | 48.9% | 43.8% |
| BigCodeBench Complete | 59.4% | 57.5% |
| WeirdML | — | 22.2% |
| LMArena Coding | — | 1294 |
| CadEval | — | 34% |
| HumanEval+ | — | 79.3% |
| MBPP+ | — | 74.6% |
Agentic & Tool Use Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Gemini 1.5 Pro (May 2024): 17.9 (#145)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| TheAgentCompany | — | 3.4% |
| Cybench | — | 7.5% |
| BALROG | — | 21% |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Gemini 1.5 Pro (May 2024): 12.3 (#338)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| BIG-Bench Hard | 78.8% | 89.2% |
| Epoch Capabilities Index | 124.77 | 131.73 |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 27.1% |
| LMArena Hard Prompts | — | 1296 |
| DTBench | — | 59% |
| ForecastBench | — | 58.4 |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Gemini 1.5 Pro (May 2024): 25.8 (#266)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 23.1% |
| Omni-MATH | — | 36.4% |
| LMArena Math | — | 1315 |
| MATH Level 5 | — | 70.4% |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Gemini 1.5 Pro (May 2024): 29.4 (#239)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| MMLU | 78.4% | 86.9% |
| GPQA Diamond | — | 57.2% |
| Humanity's Last Exam | — | 4.6% |
| MMLU-Pro | — | 73.7% |
| Confabulations | — | 13.5% |
| GPQA (HELM) | — | 53.4% |
| LMArena Expert | — | 1279 |
| ARC (AI2) Challenge | 92.2% | — |
| TriviaQA | 80% | — |
Multimodal Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Gemini 1.5 Pro (May 2024): 36.8 (#77)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Vision | — | 1161 |
| Video-MME | — | 75% |
Multilingual Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Gemini 1.5 Pro (May 2024): 45.3 (#174)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Non-English | — | 1312 |
| LMArena Chinese | — | 1331 |
| LMArena French | — | 1302 |
| LMArena German | — | 1286 |
| LMArena Japanese | — | 1292 |
| LMArena Korean | — | 1298 |
| LMArena Russian | — | 1320 |
| LMArena Spanish | — | 1311 |
Instruction Following Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Gemini 1.5 Pro (May 2024): 68.6 (#185)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| IFEval | — | 83.7% |
| LMArena Instruction Following | — | 1297 |
Long Context Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Gemini 1.5 Pro (May 2024): 39.8 (#169)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Longer Query | — | 1308 |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Gemini 1.5 Pro (May 2024): 52.4 (#172)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Pro (May 2024) |
|---|---|---|
| LMArena Text | — | 1319 |
| LMArena Creative Writing | — | 1333 |
| WildBench | — | 81.3% |
| LMArena Multi-Turn | — | 1296 |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Gemini 1.5 Pro (May 2024)?
Gemini 1.5 Pro (May 2024) has enough public results to be ranked (#261); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is DeepSeek-V2 (MoE-236B, May 2024) or Gemini 1.5 Pro (May 2024) better for coding?
DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 40.4 versus 34.2 in the Noometry coding category.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Gemini 1.5 Pro (May 2024) share?
5 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Gemini 1.5 Pro (May 2024) has 45.