Model comparison
Llama 3-8B vs Longcat Flash Chat
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 25.5 on the Noometry Index.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. Llama 3-8B 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 7.8.
Side by side
| Llama 3-8B | Longcat Flash Chat | |
|---|---|---|
| Provider | Meta | Meituan |
| Noometry Index | 25.5 | 42.1 |
| Released | 2024-04-18 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 34 | 19 |
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Category by category
Coding Longcat Flash Chat leads
Llama 3-8B: 31.0 (#289), Longcat Flash Chat: 43.5 (#87)
| Benchmark | Llama 3-8B | Longcat Flash Chat |
|---|---|---|
| LMArena Coding | 1152 | 1471 |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Reasoning Longcat Flash Chat leads
Llama 3-8B: 14.3 (#326), Longcat Flash Chat: 19.0 (#272)
| Benchmark | Llama 3-8B | Longcat Flash Chat |
|---|---|---|
| LMArena Hard Prompts | 1133 | 1440 |
| Kagi LLM Benchmark | — | 43.9% |
| NYT Connections (extended) | — | 17.7% |
| Chess Puzzles | 0% | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.45 | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math Longcat Flash Chat leads
Llama 3-8B: 8.8 (#323), Longcat Flash Chat: 39.4 (#107)
| Benchmark | Llama 3-8B | Longcat Flash Chat |
|---|---|---|
| LMArena Math | 1151 | 1442 |
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| MATH Level 5 | 6.1% | — |
Knowledge Longcat Flash Chat leads
Llama 3-8B: 7.8 (#308), Longcat Flash Chat: 40.6 (#116)
| Benchmark | Llama 3-8B | Longcat Flash Chat |
|---|---|---|
| LMArena Expert | 1113 | 1454 |
| GPQA Diamond | 26.1% | — |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multilingual Longcat Flash Chat leads
Llama 3-8B: 30.8 (#261), Longcat Flash Chat: 51.9 (#101)
| Benchmark | Llama 3-8B | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | 1098 | 1404 |
| LMArena Chinese | 1076 | 1465 |
| LMArena French | 1159 | 1456 |
| LMArena German | 1104 | 1408 |
| LMArena Japanese | 967 | 1373 |
| LMArena Korean | 1004 | 1371 |
| LMArena Russian | 1109 | 1395 |
| LMArena Spanish | 1173 | 1445 |
Instruction Following Longcat Flash Chat leads
Llama 3-8B: 58.4 (#260), Longcat Flash Chat: 74.4 (#96)
| Benchmark | Llama 3-8B | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | 1127 | 1411 |
Long Context Longcat Flash Chat leads
Llama 3-8B: 34.2 (#251), Longcat Flash Chat: 43.5 (#93)
| Benchmark | Llama 3-8B | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | 1128 | 1425 |
Writing & Preference Longcat Flash Chat leads
Llama 3-8B: 37.5 (#256), Longcat Flash Chat: 61.0 (#91)
| Benchmark | Llama 3-8B | Longcat Flash Chat |
|---|---|---|
| LMArena Text | 1166 | 1427 |
| LMArena Creative Writing | 1150 | 1388 |
| LMArena Multi-Turn | 1152 | 1418 |
Frequently asked questions
Is Llama 3-8B better than Longcat Flash Chat?
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 25.5 on the Noometry Index.
Is Llama 3-8B or Longcat Flash Chat better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 31.0 in the Noometry coding category.
How many benchmarks do Llama 3-8B and Longcat Flash Chat share?
17 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Longcat Flash Chat has 19.