Model comparison
DeepSeek Coder 6.7B vs Gemini 1.5 Flash (May 2024)
Gemini 1.5 Flash (May 2024) has enough public results to be ranked (#246); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.
Last verified . 7 shared benchmarks.
DeepSeek
GoogleSummary
- They share 7 benchmarks with published results for both. DeepSeek Coder 6.7B scores higher in 1 category and Gemini 1.5 Flash (May 2024) in 0 categories; one gap is clear of the uncertainty.
- The biggest single-benchmark swing is BigCodeBench Complete: 43.8% for DeepSeek Coder 6.7B and 55.1% for Gemini 1.5 Flash (May 2024).
- DeepSeek Coder 6.7B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek Coder 6.7B | Gemini 1.5 Flash (May 2024) | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 37.6 | 33.2 |
| Released | 2023-11-02 | 2024-05-14 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 42 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek Coder 6.7B leads
DeepSeek Coder 6.7B: 35.8 (#219), Gemini 1.5 Flash (May 2024): 34.4 (#236)
| Benchmark | DeepSeek Coder 6.7B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| BigCodeBench Instruct | 35.5% | 43.5% |
| BigCodeBench Complete | 43.8% | 55.1% |
| HumanEval+ | 71.3% | 75.6% |
| MBPP+ | 65.6% | 67.5% |
| WeirdML | — | 24.9% |
| LMArena Coding | — | 1261 |
Agentic & Tool Use Not comparable
DeepSeek Coder 6.7B: —, Gemini 1.5 Flash (May 2024): 26.6 (#102)
| Benchmark | DeepSeek Coder 6.7B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| BALROG | — | 14.6% |
Reasoning Not comparable
DeepSeek Coder 6.7B: —, Gemini 1.5 Flash (May 2024): 21.7 (#215)
| Benchmark | DeepSeek Coder 6.7B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| Epoch Capabilities Index | 89.62 | 129.36 |
| LMArena Hard Prompts | — | 1257 |
| DTBench | — | 53.8% |
| ForecastBench | — | 53.9 |
| PIQA | — | 87.5% |
| WinoGrande | 57.6% | — |
Math Not comparable
DeepSeek Coder 6.7B: —, Gemini 1.5 Flash (May 2024): 22.1 (#281)
| Benchmark | DeepSeek Coder 6.7B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| GSM8K | 21.3% | 82.4% |
| OTIS Mock AIME 2024-2025 | — | 16.3% |
| Omni-MATH | — | 30.4% |
| LMArena Math | — | 1269 |
| MATH Level 5 | — | 61.9% |
| FrontierMath (Feb 2025 set) | — | 0% |
Knowledge Not comparable
DeepSeek Coder 6.7B: —, Gemini 1.5 Flash (May 2024): 26.2 (#260)
| Benchmark | DeepSeek Coder 6.7B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| MMLU | 36.4% | 77.9% |
| GPQA Diamond | — | 47.3% |
| MMLU-Pro | — | 67.8% |
| GPQA (HELM) | — | 43.7% |
| LMArena Expert | — | 1233 |
| ARC (AI2) Challenge | 36.4% | — |
| BoolQ | — | 85.8% |
Multimodal Not comparable
DeepSeek Coder 6.7B: —, Gemini 1.5 Flash (May 2024): 36.0 (#81)
| Benchmark | DeepSeek Coder 6.7B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Vision | — | 1141 |
| Video-MME | — | 70.3% |
| GeoBench | — | 76% |
Multilingual Not comparable
DeepSeek Coder 6.7B: —, Gemini 1.5 Flash (May 2024): 42.9 (#189)
| Benchmark | DeepSeek Coder 6.7B | 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 Coder 6.7B: —, Gemini 1.5 Flash (May 2024): 66.8 (#205)
| Benchmark | DeepSeek Coder 6.7B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| IFEval | — | 83.1% |
| LMArena Instruction Following | — | 1258 |
Long Context Not comparable
DeepSeek Coder 6.7B: —, Gemini 1.5 Flash (May 2024): 39.0 (#187)
| Benchmark | DeepSeek Coder 6.7B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Longer Query | — | 1284 |
Writing & Preference Not comparable
DeepSeek Coder 6.7B: —, Gemini 1.5 Flash (May 2024): 48.7 (#196)
| Benchmark | DeepSeek Coder 6.7B | 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 Coder 6.7B better than Gemini 1.5 Flash (May 2024)?
Gemini 1.5 Flash (May 2024) has enough public results to be ranked (#246); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.
Is DeepSeek Coder 6.7B or Gemini 1.5 Flash (May 2024) better for coding?
DeepSeek Coder 6.7B scores higher on coding benchmarks: 35.8 versus 34.4 in the Noometry coding category.
How many benchmarks do DeepSeek Coder 6.7B and Gemini 1.5 Flash (May 2024) share?
7 benchmarks have published results for both models. DeepSeek Coder 6.7B has 9 scored results on Noometry and Gemini 1.5 Flash (May 2024) has 42.