Model comparison
Llama 3.1-70B vs Longcat Flash Chat
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 29.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. Llama 3.1-70B scores higher in 1 category and Longcat Flash Chat in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Longcat Flash Chat leads 39.4 to 13.5.
Side by side
| Llama 3.1-70B | Longcat Flash Chat | |
|---|---|---|
| Provider | Meta | Meituan |
| Noometry Index | 29.6 | 42.1 |
| Released | 2024-07-23 | — |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.40 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 35 | 19 |
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Category by category
Coding Longcat Flash Chat leads
Llama 3.1-70B: 30.3 (#296), Longcat Flash Chat: 43.5 (#87)
| Benchmark | Llama 3.1-70B | Longcat Flash Chat |
|---|---|---|
| LMArena Coding | 1260 | 1471 |
| WeirdML | 9% | — |
| BigCodeBench Instruct | 46.1% | — |
| BigCodeBench Complete | 54.8% | — |
Agentic & Tool Use Not comparable
Llama 3.1-70B: 25.1 (#112), Longcat Flash Chat: —
| Benchmark | Llama 3.1-70B | Longcat Flash Chat |
|---|---|---|
| TheAgentCompany | 6.9% | — |
| BALROG | 27.9% | — |
Reasoning Llama 3.1-70B leads
Llama 3.1-70B: 21.6 (#220), Longcat Flash Chat: 19.0 (#272)
| Benchmark | Llama 3.1-70B | Longcat Flash Chat |
|---|---|---|
| LMArena Hard Prompts | 1241 | 1440 |
| Kagi LLM Benchmark | — | 43.9% |
| NYT Connections (extended) | — | 17.7% |
| DTBench | 60% | — |
| LMCA | 14.8% | — |
| Epoch Capabilities Index | 125.92 | — |
Math Longcat Flash Chat leads
Llama 3.1-70B: 13.5 (#304), Longcat Flash Chat: 39.4 (#107)
| Benchmark | Llama 3.1-70B | Longcat Flash Chat |
|---|---|---|
| LMArena Math | 1252 | 1442 |
| OTIS Mock AIME 2024-2025 | 3.6% | — |
| Omni-MATH | 21% | — |
| MATH Level 5 | 36.7% | — |
Knowledge Longcat Flash Chat leads
Llama 3.1-70B: 24.2 (#269), Longcat Flash Chat: 40.6 (#116)
| Benchmark | Llama 3.1-70B | Longcat Flash Chat |
|---|---|---|
| LMArena Expert | 1209 | 1454 |
| GPQA Diamond | 44.2% | — |
| MMLU-Pro | 65.3% | — |
| GPQA (HELM) | 42.6% | — |
| MMLU | 80.1% | — |
Multilingual Longcat Flash Chat leads
Llama 3.1-70B: 38.8 (#225), Longcat Flash Chat: 51.9 (#101)
| Benchmark | Llama 3.1-70B | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | 1219 | 1404 |
| LMArena Chinese | 1215 | 1465 |
| LMArena French | 1261 | 1456 |
| LMArena German | 1222 | 1408 |
| LMArena Japanese | 1132 | 1373 |
| LMArena Korean | 1140 | 1371 |
| LMArena Russian | 1234 | 1395 |
| LMArena Spanish | 1253 | 1445 |
Instruction Following Longcat Flash Chat leads
Llama 3.1-70B: 65.3 (#223), Longcat Flash Chat: 74.4 (#96)
| Benchmark | Llama 3.1-70B | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | 1231 | 1411 |
| IFEval | 82.1% | — |
Long Context Longcat Flash Chat leads
Llama 3.1-70B: 37.6 (#214), Longcat Flash Chat: 43.5 (#93)
| Benchmark | Llama 3.1-70B | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | 1241 | 1425 |
Writing & Preference Longcat Flash Chat leads
Llama 3.1-70B: 35.4 (#267), Longcat Flash Chat: 61.0 (#91)
| Benchmark | Llama 3.1-70B | Longcat Flash Chat |
|---|---|---|
| LMArena Text | 1261 | 1427 |
| LMArena Creative Writing | 1232 | 1388 |
| LMArena Multi-Turn | 1256 | 1418 |
| EQ-Bench Creative Writing | 784 | — |
| WildBench | 75.8% | — |
Frequently asked questions
Is Llama 3.1-70B better than Longcat Flash Chat?
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 29.6 on the Noometry Index.
Is Llama 3.1-70B or Longcat Flash Chat better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 30.3 in the Noometry coding category.
How many benchmarks do Llama 3.1-70B and Longcat Flash Chat share?
17 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Longcat Flash Chat has 19.