Model comparison
DeepSeek Coder 6.7B vs GPT-4o
GPT-4o has enough public results to be ranked (#316); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.
Last verified . 6 shared benchmarks.
DeepSeekSummary
- They share 6 benchmarks with published results for both. DeepSeek Coder 6.7B scores higher in 1 category and GPT-4o in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where DeepSeek Coder 6.7B leads 35.2 to 25.1.
- The biggest single-benchmark swing is BigCodeBench Complete: 43.8% for DeepSeek Coder 6.7B and 61.1% for GPT-4o.
- DeepSeek Coder 6.7B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek Coder 6.7B | GPT-4o | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 37.1 | 28.5 |
| Released | 2023-11-02 | 2024-05-13 |
| Weights | Open | Proprietary |
| Context window | — | 128K |
| Max output | — | 16K |
| Input $ / M tokens | — | $2.50 |
| Output $ / M tokens | — | $10 |
| Results tracked | 9 | 72 |
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: 35.2 (#216), GPT-4o: 25.1 (#323)
| Benchmark | DeepSeek Coder 6.7B | GPT-4o |
|---|---|---|
| BigCodeBench Instruct | 35.5% | 51.1% |
| BigCodeBench Complete | 43.8% | 61.1% |
| HumanEval+ | 71.3% | 87.2% |
| MBPP+ | 65.6% | 72.2% |
| SWE-bench Verified | — | 31% |
| SWE-bench Verified (bash only) | — | 21.6% |
| Aider Polyglot | — | 45.3% |
| GSO | — | 0% |
| WeirdML | — | 25.1% |
| LiveBench Coding | — | 51.4% |
| LMArena Coding | — | 1297 |
| CadEval | — | 26% |
Agentic & Tool Use Not comparable
DeepSeek Coder 6.7B: —, GPT-4o: 20.8 (#133)
| Benchmark | DeepSeek Coder 6.7B | GPT-4o |
|---|---|---|
| GDPval | — | 9.9% |
| TheAgentCompany | — | 8.6% |
| Cybench | — | 12.5% |
| BALROG | — | 32.3% |
| LMArena Search | — | 1006 |
| METR Time Horizons | — | 40.8% |
Reasoning Not comparable
DeepSeek Coder 6.7B: —, GPT-4o: 9.4 (#338)
| Benchmark | DeepSeek Coder 6.7B | GPT-4o |
|---|---|---|
| Epoch Capabilities Index | 88.88 | 128.97 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 17.8% |
| ARC-AGI-1 | — | 4.5% |
| CritPt | — | 0% |
| Chess Puzzles | — | 13% |
| EnigmaEval | — | 0.8% |
| LiveBench Reasoning | — | 55.8% |
| LMArena Hard Prompts | — | 1281 |
| DTBench | — | 64.5% |
| LiveBench Data Analysis | — | 60.9% |
| LMCA | — | 16.6% |
| ForecastBench | — | 57.7 |
| LiveBench | — | 55.3% |
| WinoGrande | 57.6% | — |
Math Not comparable
DeepSeek Coder 6.7B: —, GPT-4o: 10.2 (#303)
| Benchmark | DeepSeek Coder 6.7B | GPT-4o |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 0.4% |
| OTIS Mock AIME 2024-2025 | — | 6.4% |
| Omni-MATH | — | 29.3% |
| LiveBench Math | — | 49.5% |
| LMArena Math | — | 1285 |
| MATH Level 5 | — | 53.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
| GSM8K | 21.3% | — |
Knowledge Not comparable
DeepSeek Coder 6.7B: —, GPT-4o: 28.8 (#235)
| Benchmark | DeepSeek Coder 6.7B | GPT-4o |
|---|---|---|
| MMLU | 36.4% | 88.1% |
| GPQA Diamond | — | 49.2% |
| Humanity's Last Exam | — | 2.7% |
| SimpleQA Verified | — | 26% |
| MMLU-Pro | — | 71.3% |
| Confabulations | — | 15.3% |
| Vectara Hallucination Rate | — | 9.6% |
| GPQA (HELM) | — | 52% |
| LMArena Expert | — | 1250 |
| ARC (AI2) Challenge | 36.4% | — |
Multimodal Not comparable
DeepSeek Coder 6.7B: —, GPT-4o: 33.9 (#85)
| Benchmark | DeepSeek Coder 6.7B | GPT-4o |
|---|---|---|
| LMArena Vision | — | 1137 |
| Video-MME | — | 71.9% |
| GeoBench | — | 71% |
| VPCT | — | 40% |
| ScienceQA | — | 88.5% |
Multilingual Not comparable
DeepSeek Coder 6.7B: —, GPT-4o: 43.4 (#181)
| Benchmark | DeepSeek Coder 6.7B | GPT-4o |
|---|---|---|
| LMArena Non-English | — | 1283 |
| LMArena Chinese | — | 1277 |
| LMArena French | — | 1303 |
| LMArena German | — | 1282 |
| LMArena Japanese | — | 1257 |
| LMArena Korean | — | 1234 |
| LMArena Russian | — | 1286 |
| LMArena Spanish | — | 1292 |
Instruction Following Not comparable
DeepSeek Coder 6.7B: —, GPT-4o: 66.8 (#202)
| Benchmark | DeepSeek Coder 6.7B | GPT-4o |
|---|---|---|
| LiveBench Instruction Following | — | 68.6% |
| IFEval | — | 81.7% |
| LMArena Instruction Following | — | 1278 |
Long Context Not comparable
DeepSeek Coder 6.7B: —, GPT-4o: 39.4 (#174)
| Benchmark | DeepSeek Coder 6.7B | GPT-4o |
|---|---|---|
| Fiction.LiveBench | — | 66.7% |
| LMArena Longer Query | — | 1289 |
Writing & Preference Not comparable
DeepSeek Coder 6.7B: —, GPT-4o: 52.8 (#160)
| Benchmark | DeepSeek Coder 6.7B | GPT-4o |
|---|---|---|
| LMArena Text | — | 1300 |
| LMArena Creative Writing | — | 1291 |
| Short-Story Creative Writing | — | 81.8% |
| WildBench | — | 82.8% |
| LMArena Multi-Turn | — | 1302 |
| LiveBench Language | — | 47.6% |
Frequently asked questions
Is DeepSeek Coder 6.7B better than GPT-4o?
GPT-4o has enough public results to be ranked (#316); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.
Is DeepSeek Coder 6.7B or GPT-4o better for coding?
DeepSeek Coder 6.7B scores higher on coding benchmarks: 35.2 versus 25.1 in the Noometry coding category.
How many benchmarks do DeepSeek Coder 6.7B and GPT-4o share?
6 benchmarks have published results for both models. DeepSeek Coder 6.7B has 9 scored results on Noometry and GPT-4o has 72.