# DeepSeek Coder 33B vs Gemini 3.7 Flash

> Gemini 3.7 Flash has enough public results to be ranked (#14); DeepSeek Coder 33B does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-coder-33b-vs-gemini-3-7-flash
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. DeepSeek Coder 33B scores higher in 0 categories and Gemini 3.7 Flash in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Gemini 3.7 Flash leads 56.2 to 38.0.
- DeepSeek Coder 33B has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek Coder 33B | Gemini 3.7 Flash |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 38.9 | 59.8 |
| Rank | — | 14 |
| Context | — | 1.05M |
| Input $/M | — | $0.75 |
| Output $/M | — | $3.75 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek Coder 33B: 38.0 (#184)
- Gemini 3.7 Flash: 56.2 (#22)

| Benchmark | DeepSeek Coder 33B | Gemini 3.7 Flash |
|---|---|---|
| DeepSWE | — | 65.5% |
| FrontierCode | — | 43.6% |
| LMArena WebDev | — | 1592 |
| FrontierSWE | — | 20.3% |
| SciCode | — | 59.8% |
| BigCodeBench Instruct | 42% | — |
| LMArena Coding | — | 1497 |
| BigCodeBench Complete | 51.1% | — |
| ALE-Bench | — | 904.3 |
| HumanEval+ | 75% | — |
| MBPP+ | 70.1% | — |

## Agentic & Tool Use

- DeepSeek Coder 33B: —
- Gemini 3.7 Flash: 42.1 (#19)

| Benchmark | DeepSeek Coder 33B | Gemini 3.7 Flash |
|---|---|---|
| APEX-Agents | — | 67.8% |
| Remote Labor Index | — | 5% |
| GDP.pdf | — | 23.8% |

## Reasoning

- DeepSeek Coder 33B: —
- Gemini 3.7 Flash: 70.0 (#15)

| Benchmark | DeepSeek Coder 33B | Gemini 3.7 Flash |
|---|---|---|
| Epoch Capabilities Index | 96.32 | 157.27 |
| ARC-AGI-2 | — | 84.6% |
| NYT Connections (extended) | — | 94% |
| ARC-AGI-1 | — | 95.5% |
| CritPt | — | 14.3% |
| Chess Puzzles | — | 47% |
| LMArena Hard Prompts | — | 1494 |
| Mystery Game Puzzles | — | 37% |
| DTBench | — | 96.8% |
| LMCA | — | 50.4% |
| WinoGrande | 62% | — |

## Math

- DeepSeek Coder 33B: —
- Gemini 3.7 Flash: 69.6 (#23)

| Benchmark | DeepSeek Coder 33B | Gemini 3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 71.6% |
| FrontierMath Tier 4 | — | 36.6% |
| OTIS Mock AIME 2024-2025 | — | 97.2% |
| ProofBench | — | 58% |
| LMArena Math | — | 1507 |
| GSM8K | 35.4% | — |

## Knowledge

- DeepSeek Coder 33B: —
- Gemini 3.7 Flash: 69.7 (#5)

| Benchmark | DeepSeek Coder 33B | Gemini 3.7 Flash |
|---|---|---|
| GPQA Diamond | — | 94.8% |
| SimpleQA Verified | — | 69.2% |
| LMArena Expert | — | 1508 |
| ARC (AI2) Challenge | 42.2% | — |
| MMLU | 39.4% | — |

## Multimodal

- DeepSeek Coder 33B: —
- Gemini 3.7 Flash: 37.3 (#73)

| Benchmark | DeepSeek Coder 33B | Gemini 3.7 Flash |
|---|---|---|
| LMArena Vision | — | 1316 |
| Furniture Assembly | — | 26.7% |

## Multilingual

- DeepSeek Coder 33B: —
- Gemini 3.7 Flash: 57.6 (#7)

| Benchmark | DeepSeek Coder 33B | Gemini 3.7 Flash |
|---|---|---|
| LMArena Non-English | — | 1484 |
| LMArena Chinese | — | 1548 |
| LMArena French | — | 1505 |
| LMArena German | — | 1498 |
| LMArena Japanese | — | 1512 |
| LMArena Korean | — | 1483 |
| LMArena Russian | — | 1516 |
| LMArena Spanish | — | 1503 |

## Instruction Following

- DeepSeek Coder 33B: —
- Gemini 3.7 Flash: 77.7 (#15)

| Benchmark | DeepSeek Coder 33B | Gemini 3.7 Flash |
|---|---|---|
| LMArena Instruction Following | — | 1483 |

## Long Context

- DeepSeek Coder 33B: —
- Gemini 3.7 Flash: 45.7 (#30)

| Benchmark | DeepSeek Coder 33B | Gemini 3.7 Flash |
|---|---|---|
| LMArena Longer Query | — | 1492 |

## Writing & Preference

- DeepSeek Coder 33B: —
- Gemini 3.7 Flash: 71.2 (#20)

| Benchmark | DeepSeek Coder 33B | Gemini 3.7 Flash |
|---|---|---|
| LMArena Text | — | 1486 |
| LMArena Creative Writing | — | 1490 |
| EQ-Bench Creative Writing | — | 1723 |
| LMArena Multi-Turn | — | 1489 |

## FAQ

### Is DeepSeek Coder 33B better than Gemini 3.7 Flash?

Gemini 3.7 Flash has enough public results to be ranked (#14); DeepSeek Coder 33B does not yet, so treat this comparison as directional.

### Is DeepSeek Coder 33B or Gemini 3.7 Flash better for coding?

Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 38.0 in the Noometry coding category.

### How many benchmarks do DeepSeek Coder 33B and Gemini 3.7 Flash share?

1 benchmark has published results for both models. DeepSeek Coder 33B has 9 scored results on Noometry and Gemini 3.7 Flash has 44.