Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Gemini 1.5 Flash (May 2024)
Gemini 1.5 Flash (May 2024) has enough public results to be ranked (#246); 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 Flash (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 34.4.
- The biggest single-benchmark swing is BigCodeBench Instruct: 48.9% for DeepSeek-V2 (MoE-236B, May 2024) and 43.5% for Gemini 1.5 Flash (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 Flash (May 2024) | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 40.3 | 33.2 |
| Released | 2024-05-07 | 2024-05-14 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 10 | 42 |
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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 Flash (May 2024): 34.4 (#236)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| BigCodeBench Instruct | 48.9% | 43.5% |
| BigCodeBench Complete | 59.4% | 55.1% |
| WeirdML | — | 24.9% |
| LMArena Coding | — | 1261 |
| HumanEval+ | — | 75.6% |
| MBPP+ | — | 67.5% |
Agentic & Tool Use Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Gemini 1.5 Flash (May 2024): 26.6 (#102)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| BALROG | — | 14.6% |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Gemini 1.5 Flash (May 2024): 21.7 (#215)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| Epoch Capabilities Index | 124.77 | 129.36 |
| PIQA | 83.9% | 87.5% |
| LMArena Hard Prompts | — | 1257 |
| DTBench | — | 53.8% |
| BIG-Bench Hard | 78.8% | — |
| ForecastBench | — | 53.9 |
| HellaSwag | 87.1% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Gemini 1.5 Flash (May 2024): 22.1 (#281)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 16.3% |
| Omni-MATH | — | 30.4% |
| LMArena Math | — | 1269 |
| MATH Level 5 | — | 61.9% |
| FrontierMath (Feb 2025 set) | — | 0% |
| GSM8K | — | 82.4% |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Gemini 1.5 Flash (May 2024): 26.2 (#260)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| MMLU | 78.4% | 77.9% |
| GPQA Diamond | — | 47.3% |
| MMLU-Pro | — | 67.8% |
| GPQA (HELM) | — | 43.7% |
| LMArena Expert | — | 1233 |
| ARC (AI2) Challenge | 92.2% | — |
| BoolQ | — | 85.8% |
| TriviaQA | 80% | — |
Multimodal Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Gemini 1.5 Flash (May 2024): 36.0 (#81)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Vision | — | 1141 |
| Video-MME | — | 70.3% |
| GeoBench | — | 76% |
Multilingual Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Gemini 1.5 Flash (May 2024): 42.9 (#189)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Non-English | — | 1278 |
| LMArena Chinese | — | 1295 |
| LMArena French | — | 1258 |
| LMArena German | — | 1262 |
| LMArena Japanese | — | 1252 |
| LMArena Korean | — | 1221 |
| LMArena Russian | — | 1288 |
| LMArena Spanish | — | 1243 |
Instruction Following Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Gemini 1.5 Flash (May 2024): 66.8 (#205)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| IFEval | — | 83.1% |
| LMArena Instruction Following | — | 1258 |
Long Context Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Gemini 1.5 Flash (May 2024): 39.0 (#187)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Longer Query | — | 1284 |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Gemini 1.5 Flash (May 2024): 48.7 (#196)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Text | — | 1287 |
| LMArena Creative Writing | — | 1285 |
| WildBench | — | 79.2% |
| LMArena Multi-Turn | — | 1253 |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Gemini 1.5 Flash (May 2024)?
Gemini 1.5 Flash (May 2024) has enough public results to be ranked (#246); 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 Flash (May 2024) better for coding?
DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 40.4 versus 34.4 in the Noometry coding category.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Gemini 1.5 Flash (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 Flash (May 2024) has 42.
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