# DeepSeek Coder 6.7B vs Gemini 2.0 Flash (Feb 2025)

> Gemini 2.0 Flash (Feb 2025) has enough public results to be ranked (#228); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-coder-6-7b-vs-gemini-2-0-flash
- Last updated: 2026-10-11
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. DeepSeek Coder 6.7B scores higher in 1 category and Gemini 2.0 Flash (Feb 2025) in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where DeepSeek Coder 6.7B leads 35.8 to 28.4.
- The biggest single-benchmark swing is BigCodeBench Complete: 43.8% for DeepSeek Coder 6.7B and 59.9% for Gemini 2.0 Flash (Feb 2025).
- DeepSeek Coder 6.7B has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek Coder 6.7B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 37.6 | 35.1 |
| Rank | — | 228 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek Coder 6.7B: 35.8 (#219)
- Gemini 2.0 Flash (Feb 2025): 28.4 (#315)

| Benchmark | DeepSeek Coder 6.7B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| BigCodeBench Instruct | 35.5% | 45.9% |
| BigCodeBench Complete | 43.8% | 59.9% |
| SWE-bench Verified (bash only) | — | 13.5% |
| Aider Polyglot | — | 38.2% |
| WeirdML | — | 25.8% |
| LiveBench Coding | — | 63.4% |
| LMArena Coding | — | 1350 |
| CadEval | — | 30% |
| HumanEval+ | 71.3% | — |
| MBPP+ | 65.6% | — |

## Agentic & Tool Use

- DeepSeek Coder 6.7B: —
- Gemini 2.0 Flash (Feb 2025): 28.1 (#92)

| Benchmark | DeepSeek Coder 6.7B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| TheAgentCompany | — | 11.4% |

## Reasoning

- DeepSeek Coder 6.7B: —
- Gemini 2.0 Flash (Feb 2025): 15.2 (#318)

| Benchmark | DeepSeek Coder 6.7B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| Epoch Capabilities Index | 89.62 | 135.36 |
| ARC-AGI-2 | — | 1.3% |
| SimpleBench | — | 31.1% |
| Kagi LLM Benchmark | — | 37.8% |
| EnigmaEval | — | 1.1% |
| LiveBench Reasoning | — | 78.2% |
| LMArena Hard Prompts | — | 1346 |
| DTBench | — | 63.2% |
| LiveBench Data Analysis | — | 69.4% |
| LiveBench | — | 66.9% |
| WinoGrande | 57.6% | — |

## Math

- DeepSeek Coder 6.7B: —
- Gemini 2.0 Flash (Feb 2025): 37.9 (#146)

| Benchmark | DeepSeek Coder 6.7B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 57.8% |
| Omni-MATH | — | 45.9% |
| LiveBench Math | — | 75.8% |
| LMArena Math | — | 1352 |
| MATH Level 5 | — | 82.2% |
| FrontierMath (Feb 2025 set) | — | 1.7% |
| GSM8K | 21.3% | — |

## Knowledge

- DeepSeek Coder 6.7B: —
- Gemini 2.0 Flash (Feb 2025): 32.0 (#213)

| Benchmark | DeepSeek Coder 6.7B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| MMLU | 36.4% | 79.7% |
| GPQA Diamond | — | 64.1% |
| Humanity's Last Exam | — | 6.6% |
| MMLU-Pro | — | 73.7% |
| Confabulations | — | 12.4% |
| GPQA (HELM) | — | 55.6% |
| LMArena Expert | — | 1339 |
| ARC (AI2) Challenge | 36.4% | — |

## Multimodal

- DeepSeek Coder 6.7B: —
- Gemini 2.0 Flash (Feb 2025): 36.5 (#79)

| Benchmark | DeepSeek Coder 6.7B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Vision | — | 1158 |
| GeoBench | — | 77% |

## Multilingual

- DeepSeek Coder 6.7B: —
- Gemini 2.0 Flash (Feb 2025): 47.4 (#149)

| Benchmark | DeepSeek Coder 6.7B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Non-English | — | 1342 |
| LMArena Chinese | — | 1373 |
| LMArena French | — | 1391 |
| LMArena German | — | 1353 |
| LMArena Japanese | — | 1294 |
| LMArena Korean | — | 1313 |
| LMArena Russian | — | 1351 |
| LMArena Spanish | — | 1363 |

## Instruction Following

- DeepSeek Coder 6.7B: —
- Gemini 2.0 Flash (Feb 2025): 74.4 (#97)

| Benchmark | DeepSeek Coder 6.7B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LiveBench Instruction Following | — | 85.8% |
| IFEval | — | 84.1% |
| LMArena Instruction Following | — | 1336 |

## Long Context

- DeepSeek Coder 6.7B: —
- Gemini 2.0 Flash (Feb 2025): 38.1 (#203)

| Benchmark | DeepSeek Coder 6.7B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| Fiction.LiveBench | — | 61.1% |
| LMArena Longer Query | — | 1344 |

## Writing & Preference

- DeepSeek Coder 6.7B: —
- Gemini 2.0 Flash (Feb 2025): 49.5 (#190)

| Benchmark | DeepSeek Coder 6.7B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Text | — | 1354 |
| LMArena Creative Writing | — | 1340 |
| Short-Story Creative Writing | — | 73.8% |
| EQ-Bench Creative Writing | — | 1128 |
| WildBench | — | 80% |
| LMArena Multi-Turn | — | 1350 |
| LiveBench Language | — | 51.3% |

## FAQ

### Is DeepSeek Coder 6.7B better than Gemini 2.0 Flash (Feb 2025)?

Gemini 2.0 Flash (Feb 2025) has enough public results to be ranked (#228); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.

### Is DeepSeek Coder 6.7B or Gemini 2.0 Flash (Feb 2025) better for coding?

DeepSeek Coder 6.7B scores higher on coding benchmarks: 35.8 versus 28.4 in the Noometry coding category.

### How many benchmarks do DeepSeek Coder 6.7B and Gemini 2.0 Flash (Feb 2025) share?

4 benchmarks have published results for both models. DeepSeek Coder 6.7B has 9 scored results on Noometry and Gemini 2.0 Flash (Feb 2025) has 54.