Model comparison
DeepSeek LLM 67B vs Longcat Flash Chat
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 24.9 on the Noometry Index.
Last verified . 10 shared benchmarks.
DeepSeekSummary
- They share 10 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Longcat Flash Chat in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Longcat Flash Chat leads 40.6 to 7.0.
Side by side
| DeepSeek LLM 67B | Longcat Flash Chat | |
|---|---|---|
| Provider | DeepSeek | Meituan |
| Noometry Index | 24.9 | 42.1 |
| Released | 2023-11-29 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 15 | 19 |
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Category by category
Coding Longcat Flash Chat leads
DeepSeek LLM 67B: 31.9 (#278), Longcat Flash Chat: 43.5 (#87)
| Benchmark | DeepSeek LLM 67B | Longcat Flash Chat |
|---|---|---|
| LMArena Coding | 1096 | 1471 |
Reasoning Longcat Flash Chat leads
DeepSeek LLM 67B: 16.5 (#304), Longcat Flash Chat: 19.0 (#272)
| Benchmark | DeepSeek LLM 67B | Longcat Flash Chat |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1440 |
| Kagi LLM Benchmark | — | 43.9% |
| NYT Connections (extended) | — | 17.7% |
| Chess Puzzles | 0% | — |
| Epoch Capabilities Index | 110.5 | — |
Math Longcat Flash Chat leads
DeepSeek LLM 67B: 8.7 (#324), Longcat Flash Chat: 39.4 (#107)
| Benchmark | DeepSeek LLM 67B | Longcat Flash Chat |
|---|---|---|
| LMArena Math | 1108 | 1442 |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| MATH Level 5 | 6.4% | — |
Knowledge Longcat Flash Chat leads
DeepSeek LLM 67B: 7.0 (#313), Longcat Flash Chat: 40.6 (#116)
| Benchmark | DeepSeek LLM 67B | Longcat Flash Chat |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| LMArena Expert | — | 1454 |
Multilingual Longcat Flash Chat leads
DeepSeek LLM 67B: 29.4 (#267), Longcat Flash Chat: 51.9 (#101)
| Benchmark | DeepSeek LLM 67B | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | 1073 | 1404 |
| LMArena Chinese | 1132 | 1465 |
| LMArena French | — | 1456 |
| LMArena German | — | 1408 |
| LMArena Japanese | — | 1373 |
| LMArena Korean | — | 1371 |
| LMArena Russian | — | 1395 |
| LMArena Spanish | — | 1445 |
Instruction Following Longcat Flash Chat leads
DeepSeek LLM 67B: 55.4 (#277), Longcat Flash Chat: 74.4 (#96)
| Benchmark | DeepSeek LLM 67B | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | 1079 | 1411 |
Long Context Longcat Flash Chat leads
DeepSeek LLM 67B: 33.1 (#265), Longcat Flash Chat: 43.5 (#93)
| Benchmark | DeepSeek LLM 67B | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | 1092 | 1425 |
Writing & Preference Longcat Flash Chat leads
DeepSeek LLM 67B: 31.6 (#282), Longcat Flash Chat: 61.0 (#91)
| Benchmark | DeepSeek LLM 67B | Longcat Flash Chat |
|---|---|---|
| LMArena Text | 1105 | 1427 |
| LMArena Creative Writing | 1067 | 1388 |
| LMArena Multi-Turn | 1082 | 1418 |
Frequently asked questions
Is DeepSeek LLM 67B better than Longcat Flash Chat?
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 24.9 on the Noometry Index.
Is DeepSeek LLM 67B or Longcat Flash Chat better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 31.9 in the Noometry coding category.
How many benchmarks do DeepSeek LLM 67B and Longcat Flash Chat share?
10 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Longcat Flash Chat has 19.