Model comparison
DeepSeek LLM 67B vs o1
o1 is the stronger model overall, scoring 40.9 to 24.9 on the Noometry Index.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and o1 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where o1 leads 41.5 to 7.0.
- The biggest single-benchmark swing is MATH Level 5: 6.4% for DeepSeek LLM 67B and 94.7% for o1.
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek LLM 67B | o1 | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 24.9 | 40.9 |
| Released | 2023-11-29 | 2024-09-12 |
| Weights | Open | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $15 |
| Output $ / M tokens | — | $60 |
| Results tracked | 15 | 52 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding o1 leads
DeepSeek LLM 67B: 31.9 (#278), o1: 46.1 (#70)
| Benchmark | DeepSeek LLM 67B | o1 |
|---|---|---|
| LMArena Coding | 1096 | 1367 |
| Aider Polyglot | — | 61.7% |
| WeirdML | — | 47.6% |
| LiveBench Coding | — | 69.7% |
| CadEval | — | 56% |
| HumanEval+ | — | 89% |
| MBPP+ | — | 80.2% |
Agentic & Tool Use Not comparable
DeepSeek LLM 67B: —, o1: 24.6 (#117)
| Benchmark | DeepSeek LLM 67B | o1 |
|---|---|---|
| Cybench | — | 10% |
| METR Time Horizons | — | 51.1% |
Reasoning o1 leads
DeepSeek LLM 67B: 16.5 (#304), o1: 27.9 (#111)
| Benchmark | DeepSeek LLM 67B | o1 |
|---|---|---|
| Chess Puzzles | 0% | 15% |
| LMArena Hard Prompts | 1070 | 1371 |
| Epoch Capabilities Index | 110.5 | 141.91 |
| SimpleBench | — | 41.7% |
| ARC-AGI-1 | — | 30.7% |
| EnigmaEval | — | 5.7% |
| LiveBench Reasoning | — | 91.6% |
| DTBench | — | 74.7% |
| LiveBench Data Analysis | — | 65.5% |
| LMCA | — | 22.3% |
| LiveBench | — | 75.7% |
Math o1 leads
DeepSeek LLM 67B: 8.7 (#324), o1: 36.1 (#175)
| Benchmark | DeepSeek LLM 67B | o1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 73.3% |
| LMArena Math | 1108 | 1388 |
| MATH Level 5 | 6.4% | 94.7% |
| FrontierMath (Tiers 1-3) | — | 14.7% |
| LiveBench Math | — | 80.3% |
| FrontierMath (Feb 2025 set) | — | 9.3% |
Knowledge o1 leads
DeepSeek LLM 67B: 7.0 (#313), o1: 41.5 (#110)
| Benchmark | DeepSeek LLM 67B | o1 |
|---|---|---|
| GPQA Diamond | 24.6% | 76.8% |
| Humanity's Last Exam | — | 8% |
| SimpleQA Verified | — | 41.1% |
| Confabulations | — | 11.7% |
| LMArena Expert | — | 1361 |
Multimodal Not comparable
DeepSeek LLM 67B: —, o1: 34.2 (#93)
| Benchmark | DeepSeek LLM 67B | o1 |
|---|---|---|
| LMArena Vision | — | 1168 |
| GeoBench | — | 80% |
| VPCT | — | 37% |
| SpatialViz-Bench | — | 41.4% |
Multilingual o1 leads
DeepSeek LLM 67B: 29.4 (#267), o1: 48.6 (#142)
| Benchmark | DeepSeek LLM 67B | o1 |
|---|---|---|
| LMArena Non-English | 1073 | 1358 |
| LMArena Chinese | 1132 | 1394 |
| LMArena French | — | 1344 |
| LMArena German | — | 1337 |
| LMArena Japanese | — | 1346 |
| LMArena Korean | — | 1396 |
| LMArena Russian | — | 1356 |
| LMArena Spanish | — | 1345 |
Instruction Following o1 leads
DeepSeek LLM 67B: 55.4 (#277), o1: 74.8 (#86)
| Benchmark | DeepSeek LLM 67B | o1 |
|---|---|---|
| LMArena Instruction Following | 1079 | 1367 |
| LiveBench Instruction Following | — | 81.5% |
Long Context o1 leads
DeepSeek LLM 67B: 33.1 (#265), o1: 50.3 (#9)
| Benchmark | DeepSeek LLM 67B | o1 |
|---|---|---|
| LMArena Longer Query | 1092 | 1378 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference o1 leads
DeepSeek LLM 67B: 31.6 (#282), o1: 55.6 (#144)
| Benchmark | DeepSeek LLM 67B | o1 |
|---|---|---|
| LMArena Text | 1105 | 1366 |
| LMArena Creative Writing | 1067 | 1348 |
| LMArena Multi-Turn | 1082 | 1369 |
| Short-Story Creative Writing | — | 70.2% |
| LiveBench Language | — | 65.4% |
Frequently asked questions
Is DeepSeek LLM 67B better than o1?
o1 is the stronger model overall, scoring 40.9 to 24.9 on the Noometry Index.
Is DeepSeek LLM 67B or o1 better for coding?
o1 scores higher on coding benchmarks: 46.1 versus 31.9 in the Noometry coding category.
How many benchmarks do DeepSeek LLM 67B and o1 share?
15 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and o1 has 52.