Model comparison
DeepSeek-R1-Distill-Qwen-32B vs Longcat Flash Chat
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 35.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in instruction following, where Longcat Flash Chat leads 74.4 to 61.6.
Side by side
| DeepSeek-R1-Distill-Qwen-32B | Longcat Flash Chat | |
|---|---|---|
| Provider | DeepSeek | Meituan |
| Noometry Index | 35.5 | 42.1 |
| Released | 2025-01-20 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 14 | 19 |
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Category by category
Coding Longcat Flash Chat leads
DeepSeek-R1-Distill-Qwen-32B: 36.1 (#212), Longcat Flash Chat: 43.5 (#87)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Longcat Flash Chat |
|---|---|---|
| BigCodeBench Instruct | 43.9% | — |
| LiveBench Coding | 33.7% | — |
| LMArena Coding | — | 1471 |
| BigCodeBench Complete | 54.9% | — |
Agentic & Tool Use Not comparable
DeepSeek-R1-Distill-Qwen-32B: 28.1 (#94), Longcat Flash Chat: —
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Longcat Flash Chat |
|---|---|---|
| BALROG | 19.5% | — |
Reasoning Too close to call
DeepSeek-R1-Distill-Qwen-32B: 18.2 (#284), Longcat Flash Chat: 19.0 (#272)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Longcat Flash Chat |
|---|---|---|
| Kagi LLM Benchmark | — | 43.9% |
| NYT Connections (extended) | — | 17.7% |
| Chess Puzzles | 1% | — |
| LiveBench Reasoning | 52.3% | — |
| LMArena Hard Prompts | — | 1440 |
| LiveBench Data Analysis | 45.4% | — |
| Epoch Capabilities Index | 137.44 | — |
| LiveBench | 45.5% | — |
Math Longcat Flash Chat leads
DeepSeek-R1-Distill-Qwen-32B: 34.5 (#194), Longcat Flash Chat: 39.4 (#107)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Longcat Flash Chat |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 55.6% | — |
| LiveBench Math | 59.4% | — |
| LMArena Math | — | 1442 |
Knowledge Longcat Flash Chat leads
DeepSeek-R1-Distill-Qwen-32B: 35.7 (#182), Longcat Flash Chat: 40.6 (#116)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Longcat Flash Chat |
|---|---|---|
| GPQA Diamond | 64.1% | — |
| LMArena Expert | — | 1454 |
Multilingual Not comparable
DeepSeek-R1-Distill-Qwen-32B: —, Longcat Flash Chat: 51.9 (#101)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | — | 1404 |
| LMArena Chinese | — | 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-R1-Distill-Qwen-32B: 61.6 (#243), Longcat Flash Chat: 74.4 (#96)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Longcat Flash Chat |
|---|---|---|
| LiveBench Instruction Following | 55.7% | — |
| LMArena Instruction Following | — | 1411 |
Long Context Not comparable
DeepSeek-R1-Distill-Qwen-32B: —, Longcat Flash Chat: 43.5 (#93)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | — | 1425 |
Writing & Preference Longcat Flash Chat leads
DeepSeek-R1-Distill-Qwen-32B: 49.6 (#188), Longcat Flash Chat: 61.0 (#91)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Longcat Flash Chat |
|---|---|---|
| LMArena Text | — | 1427 |
| LMArena Creative Writing | — | 1388 |
| LMArena Multi-Turn | — | 1418 |
| LiveBench Language | 26.8% | — |
Frequently asked questions
Is DeepSeek-R1-Distill-Qwen-32B better than Longcat Flash Chat?
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 35.5 on the Noometry Index.
Is DeepSeek-R1-Distill-Qwen-32B or Longcat Flash Chat better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 36.1 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Qwen-32B and Longcat Flash Chat share?
0 benchmarks have published results for both models. DeepSeek-R1-Distill-Qwen-32B has 14 scored results on Noometry and Longcat Flash Chat has 19.