Model comparison
DeepSeek LLM 67B vs Gemini 2.0 Flash (Feb 2025)
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 35.1 to 24.9 on the Noometry Index.
Last verified . 14 shared benchmarks.
DeepSeek
GoogleSummary
- They share 14 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 2 categories and Gemini 2.0 Flash (Feb 2025) in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.0 Flash (Feb 2025) leads 37.9 to 8.7.
- The biggest single-benchmark swing is MATH Level 5: 6.4% for DeepSeek LLM 67B and 82.2% for Gemini 2.0 Flash (Feb 2025).
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek LLM 67B | Gemini 2.0 Flash (Feb 2025) | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 24.9 | 35.1 |
| Released | 2023-11-29 | 2024-12-06 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 15 | 54 |
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Category by category
Coding DeepSeek LLM 67B leads
DeepSeek LLM 67B: 31.9 (#278), Gemini 2.0 Flash (Feb 2025): 28.4 (#315)
| Benchmark | DeepSeek LLM 67B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Coding | 1096 | 1350 |
| SWE-bench Verified (bash only) | — | 13.5% |
| Aider Polyglot | — | 38.2% |
| WeirdML | — | 25.8% |
| BigCodeBench Instruct | — | 45.9% |
| LiveBench Coding | — | 63.4% |
| BigCodeBench Complete | — | 59.9% |
| CadEval | — | 30% |
Agentic & Tool Use Not comparable
DeepSeek LLM 67B: —, Gemini 2.0 Flash (Feb 2025): 28.1 (#92)
| Benchmark | DeepSeek LLM 67B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| TheAgentCompany | — | 11.4% |
Reasoning DeepSeek LLM 67B leads
DeepSeek LLM 67B: 16.5 (#304), Gemini 2.0 Flash (Feb 2025): 15.2 (#318)
| Benchmark | DeepSeek LLM 67B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1346 |
| Epoch Capabilities Index | 110.5 | 135.36 |
| ARC-AGI-2 | — | 1.3% |
| SimpleBench | — | 31.1% |
| Kagi LLM Benchmark | — | 37.8% |
| Chess Puzzles | 0% | — |
| EnigmaEval | — | 1.1% |
| LiveBench Reasoning | — | 78.2% |
| DTBench | — | 63.2% |
| LiveBench Data Analysis | — | 69.4% |
| LiveBench | — | 66.9% |
Math Gemini 2.0 Flash (Feb 2025) leads
DeepSeek LLM 67B: 8.7 (#324), Gemini 2.0 Flash (Feb 2025): 37.9 (#146)
| Benchmark | DeepSeek LLM 67B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 57.8% |
| LMArena Math | 1108 | 1352 |
| MATH Level 5 | 6.4% | 82.2% |
| Omni-MATH | — | 45.9% |
| LiveBench Math | — | 75.8% |
| FrontierMath (Feb 2025 set) | — | 1.7% |
Knowledge Gemini 2.0 Flash (Feb 2025) leads
DeepSeek LLM 67B: 7.0 (#313), Gemini 2.0 Flash (Feb 2025): 32.0 (#213)
| Benchmark | DeepSeek LLM 67B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| GPQA Diamond | 24.6% | 64.1% |
| Humanity's Last Exam | — | 6.6% |
| MMLU-Pro | — | 73.7% |
| Confabulations | — | 12.4% |
| GPQA (HELM) | — | 55.6% |
| LMArena Expert | — | 1339 |
| MMLU | — | 79.7% |
Multimodal Not comparable
DeepSeek LLM 67B: —, Gemini 2.0 Flash (Feb 2025): 36.5 (#79)
| Benchmark | DeepSeek LLM 67B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Vision | — | 1158 |
| GeoBench | — | 77% |
Multilingual Gemini 2.0 Flash (Feb 2025) leads
DeepSeek LLM 67B: 29.4 (#267), Gemini 2.0 Flash (Feb 2025): 47.4 (#149)
| Benchmark | DeepSeek LLM 67B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Non-English | 1073 | 1342 |
| LMArena Chinese | 1132 | 1373 |
| LMArena French | — | 1391 |
| LMArena German | — | 1353 |
| LMArena Japanese | — | 1294 |
| LMArena Korean | — | 1313 |
| LMArena Russian | — | 1351 |
| LMArena Spanish | — | 1363 |
Instruction Following Gemini 2.0 Flash (Feb 2025) leads
DeepSeek LLM 67B: 55.4 (#277), Gemini 2.0 Flash (Feb 2025): 74.4 (#97)
| Benchmark | DeepSeek LLM 67B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Instruction Following | 1079 | 1336 |
| LiveBench Instruction Following | — | 85.8% |
| IFEval | — | 84.1% |
Long Context Gemini 2.0 Flash (Feb 2025) leads
DeepSeek LLM 67B: 33.1 (#265), Gemini 2.0 Flash (Feb 2025): 38.1 (#203)
| Benchmark | DeepSeek LLM 67B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Longer Query | 1092 | 1344 |
| Fiction.LiveBench | — | 61.1% |
Writing & Preference Gemini 2.0 Flash (Feb 2025) leads
DeepSeek LLM 67B: 31.6 (#282), Gemini 2.0 Flash (Feb 2025): 49.5 (#190)
| Benchmark | DeepSeek LLM 67B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Text | 1105 | 1354 |
| LMArena Creative Writing | 1067 | 1340 |
| LMArena Multi-Turn | 1082 | 1350 |
| Short-Story Creative Writing | — | 73.8% |
| EQ-Bench Creative Writing | — | 1128 |
| WildBench | — | 80% |
| LiveBench Language | — | 51.3% |
Frequently asked questions
Is DeepSeek LLM 67B better than Gemini 2.0 Flash (Feb 2025)?
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 35.1 to 24.9 on the Noometry Index.
Is DeepSeek LLM 67B or Gemini 2.0 Flash (Feb 2025) better for coding?
DeepSeek LLM 67B scores higher on coding benchmarks: 31.9 versus 28.4 in the Noometry coding category.
How many benchmarks do DeepSeek LLM 67B and Gemini 2.0 Flash (Feb 2025) share?
14 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Gemini 2.0 Flash (Feb 2025) has 54.