Model comparison
DeepSeek Coder 33B vs Gemini 3.8 Flash
Gemini 3.8 Flash has enough public results to be ranked (#11); DeepSeek Coder 33B does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
DeepSeek
GoogleSummary
- They share 1 benchmark with published results for both. DeepSeek Coder 33B scores higher in 0 categories and Gemini 3.8 Flash in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Gemini 3.8 Flash leads 59.2 to 38.0.
- DeepSeek Coder 33B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek Coder 33B | Gemini 3.8 Flash | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 38.9 | 61.8 |
| Released | 2023-11-02 | 2026-09-02 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.75 |
| Output $ / M tokens | — | $3.75 |
| Results tracked | 9 | 50 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemini 3.8 Flash leads
DeepSeek Coder 33B: 38.0 (#184), Gemini 3.8 Flash: 59.2 (#15)
| Benchmark | DeepSeek Coder 33B | Gemini 3.8 Flash |
|---|---|---|
| DeepSWE | — | 73.8% |
| FrontierCode | — | 41.2% |
| CursorBench | — | 39.6% |
| LMArena WebDev | — | 1584 |
| FrontierSWE | — | 19.6% |
| SciCode | — | 56.6% |
| WeirdML | — | 84.8% |
| BigCodeBench Instruct | 42% | — |
| LMArena Coding | — | 1510 |
| BigCodeBench Complete | 51.1% | — |
| ALE-Bench | — | 1,270 |
| HumanEval+ | 75% | — |
| MBPP+ | 70.1% | — |
Agentic & Tool Use Not comparable
DeepSeek Coder 33B: —, Gemini 3.8 Flash: 41.8 (#21)
| Benchmark | DeepSeek Coder 33B | Gemini 3.8 Flash |
|---|---|---|
| APEX-Agents | — | 64.3% |
| Remote Labor Index | — | 5.8% |
| GDP.pdf | — | 23.4% |
| Vending-Bench 2 | — | 5,094 |
Reasoning Not comparable
DeepSeek Coder 33B: —, Gemini 3.8 Flash: 76.9 (#5)
| Benchmark | DeepSeek Coder 33B | Gemini 3.8 Flash |
|---|---|---|
| Epoch Capabilities Index | 96.32 | 156.71 |
| ARC-AGI-2 | — | 89.2% |
| NYT Connections (extended) | — | 97.4% |
| ARC-AGI-1 | — | 98.5% |
| CritPt | — | 18.3% |
| Chess Puzzles | — | 61% |
| LMArena Hard Prompts | — | 1508 |
| Mystery Game Puzzles | — | 47% |
| DTBench | — | 95.7% |
| LMCA | — | 52.9% |
| Surface Evolver Bench | — | 76.9% |
| WinoGrande | 62% | — |
Math Not comparable
DeepSeek Coder 33B: —, Gemini 3.8 Flash: 65.3 (#28)
| Benchmark | DeepSeek Coder 33B | Gemini 3.8 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 68.4% |
| FrontierMath Tier 4 | — | 22% |
| OTIS Mock AIME 2024-2025 | — | 98.9% |
| ProofBench | — | 48% |
| LMArena Math | — | 1528 |
| GSM8K | 35.4% | — |
Knowledge Not comparable
DeepSeek Coder 33B: —, Gemini 3.8 Flash: 74.8 (#2)
| Benchmark | DeepSeek Coder 33B | Gemini 3.8 Flash |
|---|---|---|
| GPQA Diamond | — | 95.4% |
| Humanity's Last Exam | — | 44.5% |
| SimpleQA Verified | — | 69.7% |
| LMArena Expert | — | 1524 |
| ARC (AI2) Challenge | 42.2% | — |
| MMLU | 39.4% | — |
Multimodal Not comparable
DeepSeek Coder 33B: —, Gemini 3.8 Flash: 40.7 (#45)
| Benchmark | DeepSeek Coder 33B | Gemini 3.8 Flash |
|---|---|---|
| LMArena Vision | — | 1314 |
| Blueprint-Bench 2 | — | 38.6% |
| Furniture Assembly | — | 31.7% |
Multilingual Not comparable
DeepSeek Coder 33B: —, Gemini 3.8 Flash: 58.0 (#5)
| Benchmark | DeepSeek Coder 33B | Gemini 3.8 Flash |
|---|---|---|
| LMArena Non-English | — | 1491 |
| LMArena Chinese | — | 1554 |
| LMArena French | — | 1498 |
| LMArena German | — | 1493 |
| LMArena Japanese | — | 1502 |
| LMArena Korean | — | 1459 |
| LMArena Russian | — | 1515 |
| LMArena Spanish | — | 1485 |
Instruction Following Not comparable
DeepSeek Coder 33B: —, Gemini 3.8 Flash: 78.0 (#13)
| Benchmark | DeepSeek Coder 33B | Gemini 3.8 Flash |
|---|---|---|
| LMArena Instruction Following | — | 1490 |
Long Context Not comparable
DeepSeek Coder 33B: —, Gemini 3.8 Flash: 46.3 (#24)
| Benchmark | DeepSeek Coder 33B | Gemini 3.8 Flash |
|---|---|---|
| LMArena Longer Query | — | 1508 |
Writing & Preference Not comparable
DeepSeek Coder 33B: —, Gemini 3.8 Flash: 72.2 (#15)
| Benchmark | DeepSeek Coder 33B | Gemini 3.8 Flash |
|---|---|---|
| LMArena Text | — | 1499 |
| LMArena Creative Writing | — | 1492 |
| EQ-Bench Creative Writing | — | 1748 |
| LMArena Multi-Turn | — | 1501 |
Frequently asked questions
Is DeepSeek Coder 33B better than Gemini 3.8 Flash?
Gemini 3.8 Flash has enough public results to be ranked (#11); DeepSeek Coder 33B does not yet, so treat this comparison as directional.
Is DeepSeek Coder 33B or Gemini 3.8 Flash better for coding?
Gemini 3.8 Flash scores higher on coding benchmarks: 59.2 versus 38.0 in the Noometry coding category.
How many benchmarks do DeepSeek Coder 33B and Gemini 3.8 Flash share?
1 benchmark has published results for both models. DeepSeek Coder 33B has 9 scored results on Noometry and Gemini 3.8 Flash has 50.