# DeepSeek LLM 67B vs Gemini 1.5 Flash (May 2024)

> Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 32.9 to 24.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-gemini-1-5-flash
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Gemini 1.5 Flash (May 2024) in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 1.5 Flash (May 2024) leads 26.2 to 7.1.
- The biggest single-benchmark swing is MATH Level 5: 6.4% for DeepSeek LLM 67B and 61.9% for Gemini 1.5 Flash (May 2024).
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek LLM 67B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 24.8 | 32.9 |
| Rank | 341 | 240 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek LLM 67B: 31.3 (#273)
- Gemini 1.5 Flash (May 2024): 33.9 (#233)

| Benchmark | DeepSeek LLM 67B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Coding | 1096 | 1262 |
| WeirdML | — | 24.9% |
| BigCodeBench Instruct | — | 43.5% |
| BigCodeBench Complete | — | 55.1% |
| HumanEval+ | — | 75.6% |
| MBPP+ | — | 67.5% |

## Agentic & Tool Use

- DeepSeek LLM 67B: —
- Gemini 1.5 Flash (May 2024): 26.3 (#97)

| Benchmark | DeepSeek LLM 67B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| BALROG | — | 14.6% |

## Reasoning

- DeepSeek LLM 67B: 15.9 (#300)
- Gemini 1.5 Flash (May 2024): 20.8 (#212)

| Benchmark | DeepSeek LLM 67B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1257 |
| Epoch Capabilities Index | 110.54 | 129.37 |
| Chess Puzzles | 0% | — |
| DTBench | — | 53.8% |
| ForecastBench | — | 53.9 |
| PIQA | — | 87.5% |

## Math

- DeepSeek LLM 67B: 8.1 (#318)
- Gemini 1.5 Flash (May 2024): 20.8 (#274)

| Benchmark | DeepSeek LLM 67B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 16.3% |
| LMArena Math | 1108 | 1269 |
| MATH Level 5 | 6.4% | 61.9% |
| Omni-MATH | — | 30.4% |
| FrontierMath (Feb 2025 set) | — | 0% |
| GSM8K | — | 82.4% |

## Knowledge

- DeepSeek LLM 67B: 7.1 (#308)
- Gemini 1.5 Flash (May 2024): 26.2 (#253)

| Benchmark | DeepSeek LLM 67B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| GPQA Diamond | 24.6% | 47.3% |
| MMLU-Pro | — | 67.8% |
| GPQA (HELM) | — | 43.7% |
| LMArena Expert | — | 1233 |
| BoolQ | — | 85.8% |
| MMLU | — | 77.9% |

## Multimodal

- DeepSeek LLM 67B: —
- Gemini 1.5 Flash (May 2024): 35.3 (#76)

| Benchmark | DeepSeek LLM 67B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Vision | — | 1141 |
| Video-MME | — | 70.3% |
| GeoBench | — | 76% |

## Multilingual

- DeepSeek LLM 67B: 29.5 (#262)
- Gemini 1.5 Flash (May 2024): 43.1 (#184)

| Benchmark | DeepSeek LLM 67B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Non-English | 1073 | 1278 |
| LMArena Chinese | 1132 | 1295 |
| LMArena French | — | 1257 |
| LMArena German | — | 1262 |
| LMArena Japanese | — | 1252 |
| LMArena Korean | — | 1220 |
| LMArena Russian | — | 1288 |
| LMArena Spanish | — | 1242 |

## Instruction Following

- DeepSeek LLM 67B: 55.7 (#272)
- Gemini 1.5 Flash (May 2024): 67.0 (#199)

| Benchmark | DeepSeek LLM 67B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Instruction Following | 1079 | 1258 |
| IFEval | — | 83.1% |

## Long Context

- DeepSeek LLM 67B: 33.1 (#260)
- Gemini 1.5 Flash (May 2024): 39.0 (#182)

| Benchmark | DeepSeek LLM 67B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Longer Query | 1092 | 1284 |

## Writing & Preference

- DeepSeek LLM 67B: 31.8 (#277)
- Gemini 1.5 Flash (May 2024): 48.9 (#190)

| Benchmark | DeepSeek LLM 67B | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Text | 1105 | 1287 |
| LMArena Creative Writing | 1067 | 1285 |
| LMArena Multi-Turn | 1082 | 1253 |
| WildBench | — | 79.2% |

## FAQ

### Is DeepSeek LLM 67B better than Gemini 1.5 Flash (May 2024)?

Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 32.9 to 24.8 on the Noometry Index.

### Is DeepSeek LLM 67B or Gemini 1.5 Flash (May 2024) better for coding?

Gemini 1.5 Flash (May 2024) scores higher on coding benchmarks: 33.9 versus 31.3 in the Noometry coding category.

### How many benchmarks do DeepSeek LLM 67B and Gemini 1.5 Flash (May 2024) share?

14 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Gemini 1.5 Flash (May 2024) has 42.