Model comparison
GPT-4o mini vs Longcat Flash Chat
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 25.5 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GPT-4o mini scores higher in 0 categories and Longcat Flash Chat in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Longcat Flash Chat leads 39.4 to 10.4.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 28.8% for GPT-4o mini and 43.9% for Longcat Flash Chat.
- Longcat Flash Chat has downloadable open weights; the other is API-only.
Side by side
| GPT-4o mini | Longcat Flash Chat | |
|---|---|---|
| Provider | OpenAI | Meituan |
| Noometry Index | 25.5 | 42.1 |
| Released | 2024-07-18 | — |
| Weights | Proprietary | Open |
| Context window | 128K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 60 | 19 |
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Category by category
Coding Longcat Flash Chat leads
GPT-4o mini: 22.0 (#335), Longcat Flash Chat: 43.5 (#87)
| Benchmark | GPT-4o mini | Longcat Flash Chat |
|---|---|---|
| LMArena Coding | 1290 | 1471 |
| Aider Polyglot | 3.6% | — |
| WeirdML | 11.8% | — |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 43.1% | — |
| BigCodeBench Complete | 57.4% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 72.2% | — |
Agentic & Tool Use Not comparable
GPT-4o mini: 27.5 (#101), Longcat Flash Chat: —
| Benchmark | GPT-4o mini | Longcat Flash Chat |
|---|---|---|
| BALROG | 17.4% | — |
Reasoning Longcat Flash Chat leads
GPT-4o mini: 8.7 (#347), Longcat Flash Chat: 19.0 (#272)
| Benchmark | GPT-4o mini | Longcat Flash Chat |
|---|---|---|
| Kagi LLM Benchmark | 28.8% | 43.9% |
| LMArena Hard Prompts | 1267 | 1440 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 10.7% | — |
| NYT Connections (extended) | — | 17.7% |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | 32.8% | — |
| Mystery Game Puzzles | 12% | — |
| DTBench | 54.4% | — |
| LiveBench Data Analysis | 50% | — |
| LMCA | 10.4% | — |
| Epoch Capabilities Index | 126.56 | — |
| LiveBench | 41.3% | — |
| PIQA | 88.7% | — |
Math Longcat Flash Chat leads
GPT-4o mini: 10.4 (#314), Longcat Flash Chat: 39.4 (#107)
| Benchmark | GPT-4o mini | Longcat Flash Chat |
|---|---|---|
| LMArena Math | 1267 | 1442 |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.9% | — |
| Omni-MATH | 28% | — |
| LiveBench Math | 36.3% | — |
| MATH Level 5 | 52.6% | — |
| GSM8K | 91.3% | — |
Knowledge Longcat Flash Chat leads
GPT-4o mini: 17.7 (#284), Longcat Flash Chat: 40.6 (#116)
| Benchmark | GPT-4o mini | Longcat Flash Chat |
|---|---|---|
| LMArena Expert | 1235 | 1454 |
| GPQA Diamond | 37.7% | — |
| SimpleQA Verified | 8.3% | — |
| MMLU-Pro | 60.3% | — |
| Confabulations | 37.2% | — |
| GPQA (HELM) | 36.8% | — |
| BoolQ | 88.7% | — |
| MMLU | 81.8% | — |
Multimodal Not comparable
GPT-4o mini: 25.9 (#122), Longcat Flash Chat: —
| Benchmark | GPT-4o mini | Longcat Flash Chat |
|---|---|---|
| LMArena Vision | 1066 | — |
| Video-MME | 64.8% | — |
| GeoBench | 64% | — |
| VPCT | 34% | — |
Multilingual Longcat Flash Chat leads
GPT-4o mini: 42.0 (#199), Longcat Flash Chat: 51.9 (#101)
| Benchmark | GPT-4o mini | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | 1266 | 1404 |
| LMArena Chinese | 1265 | 1465 |
| LMArena French | 1297 | 1456 |
| LMArena German | 1272 | 1408 |
| LMArena Japanese | 1216 | 1373 |
| LMArena Korean | 1195 | 1371 |
| LMArena Russian | 1275 | 1395 |
| LMArena Spanish | 1276 | 1445 |
Instruction Following Longcat Flash Chat leads
GPT-4o mini: 61.9 (#239), Longcat Flash Chat: 74.4 (#96)
| Benchmark | GPT-4o mini | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | 1258 | 1411 |
| LiveBench Instruction Following | 56.8% | — |
| IFEval | 78.2% | — |
Long Context Longcat Flash Chat leads
GPT-4o mini: 39.1 (#186), Longcat Flash Chat: 43.5 (#93)
| Benchmark | GPT-4o mini | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | 1289 | 1425 |
Writing & Preference Longcat Flash Chat leads
GPT-4o mini: 39.5 (#248), Longcat Flash Chat: 61.0 (#91)
| Benchmark | GPT-4o mini | Longcat Flash Chat |
|---|---|---|
| LMArena Text | 1286 | 1427 |
| LMArena Creative Writing | 1268 | 1388 |
| LMArena Multi-Turn | 1285 | 1418 |
| Short-Story Creative Writing | 67.2% | — |
| EQ-Bench Creative Writing | 873 | — |
| WildBench | 79.1% | — |
| LiveBench Language | 28.6% | — |
Frequently asked questions
Is GPT-4o mini better than Longcat Flash Chat?
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 25.5 on the Noometry Index.
Is GPT-4o mini or Longcat Flash Chat better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 22.0 in the Noometry coding category.
How many benchmarks do GPT-4o mini and Longcat Flash Chat share?
18 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Longcat Flash Chat has 19.