Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs GPT-4o mini
GPT-4o mini has enough public results to be ranked (#343); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 5 shared benchmarks.
DeepSeekSummary
- They share 5 benchmarks with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and GPT-4o mini in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 40.4 to 22.0.
- DeepSeek-V2 (MoE-236B, May 2024) has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | GPT-4o mini | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 40.3 | 25.5 |
| Released | 2024-05-07 | 2024-07-18 |
| Weights | Open | Proprietary |
| Context window | — | 128K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.60 |
| Results tracked | 10 | 60 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek-V2 (MoE-236B, May 2024) leads
DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139), GPT-4o mini: 22.0 (#335)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4o mini |
|---|---|---|
| BigCodeBench Instruct | 48.9% | 46.1% |
| BigCodeBench Complete | 59.4% | 57.4% |
| Aider Polyglot | — | 3.6% |
| WeirdML | — | 11.8% |
| LiveBench Coding | — | 43.1% |
| LMArena Coding | — | 1290 |
| HumanEval+ | — | 83.5% |
| MBPP+ | — | 72.2% |
Agentic & Tool Use Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-4o mini: 27.5 (#101)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4o mini |
|---|---|---|
| BALROG | — | 17.4% |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-4o mini: 8.7 (#347)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4o mini |
|---|---|---|
| Epoch Capabilities Index | 124.77 | 126.56 |
| PIQA | 83.9% | 88.7% |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 10.7% |
| Kagi LLM Benchmark | — | 28.8% |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | — | 32.8% |
| LMArena Hard Prompts | — | 1267 |
| Mystery Game Puzzles | — | 12% |
| DTBench | — | 54.4% |
| LiveBench Data Analysis | — | 50% |
| LMCA | — | 10.4% |
| BIG-Bench Hard | 78.8% | — |
| HellaSwag | 87.1% | — |
| LiveBench | — | 41.3% |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-4o mini: 10.4 (#314)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4o mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 0.7% |
| OTIS Mock AIME 2024-2025 | — | 6.9% |
| Omni-MATH | — | 28% |
| LiveBench Math | — | 36.3% |
| LMArena Math | — | 1267 |
| MATH Level 5 | — | 52.6% |
| GSM8K | — | 91.3% |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-4o mini: 17.7 (#284)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4o mini |
|---|---|---|
| MMLU | 78.4% | 81.8% |
| GPQA Diamond | — | 37.7% |
| SimpleQA Verified | — | 8.3% |
| MMLU-Pro | — | 60.3% |
| Confabulations | — | 37.2% |
| GPQA (HELM) | — | 36.8% |
| LMArena Expert | — | 1235 |
| ARC (AI2) Challenge | 92.2% | — |
| BoolQ | — | 88.7% |
| TriviaQA | 80% | — |
Multimodal Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-4o mini: 25.9 (#122)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4o mini |
|---|---|---|
| LMArena Vision | — | 1066 |
| Video-MME | — | 64.8% |
| GeoBench | — | 64% |
| VPCT | — | 34% |
Multilingual Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-4o mini: 42.0 (#199)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4o mini |
|---|---|---|
| LMArena Non-English | — | 1266 |
| LMArena Chinese | — | 1265 |
| LMArena French | — | 1297 |
| LMArena German | — | 1272 |
| LMArena Japanese | — | 1216 |
| LMArena Korean | — | 1195 |
| LMArena Russian | — | 1275 |
| LMArena Spanish | — | 1276 |
Instruction Following Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-4o mini: 61.9 (#239)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4o mini |
|---|---|---|
| LiveBench Instruction Following | — | 56.8% |
| IFEval | — | 78.2% |
| LMArena Instruction Following | — | 1258 |
Long Context Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-4o mini: 39.1 (#186)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4o mini |
|---|---|---|
| LMArena Longer Query | — | 1289 |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-4o mini: 39.5 (#248)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4o mini |
|---|---|---|
| LMArena Text | — | 1286 |
| LMArena Creative Writing | — | 1268 |
| Short-Story Creative Writing | — | 67.2% |
| EQ-Bench Creative Writing | — | 873 |
| WildBench | — | 79.1% |
| LMArena Multi-Turn | — | 1285 |
| LiveBench Language | — | 28.6% |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than GPT-4o mini?
GPT-4o mini has enough public results to be ranked (#343); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is DeepSeek-V2 (MoE-236B, May 2024) or GPT-4o mini better for coding?
DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 40.4 versus 22.0 in the Noometry coding category.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and GPT-4o mini share?
5 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and GPT-4o mini has 60.