Model comparison
Longcat Flash Chat vs o3
o3 is the stronger model overall, scoring 47.5 to 42.1 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Longcat Flash Chat scores higher in 2 categories and o3 in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where o3 leads 54.6 to 40.6.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 43.9% for Longcat Flash Chat and 67.6% for o3.
- Longcat Flash Chat has downloadable open weights; the other is API-only.
Side by side
| Longcat Flash Chat | o3 | |
|---|---|---|
| Provider | Meituan | OpenAI |
| Noometry Index | 42.1 | 47.5 |
| Released | — | 2025-04-16 |
| Weights | Open | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $8 |
| Results tracked | 19 | 63 |
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Category by category
Coding o3 leads
Longcat Flash Chat: 43.5 (#87), o3: 46.8 (#64)
| Benchmark | Longcat Flash Chat | o3 |
|---|---|---|
| LMArena Coding | 1471 | 1408 |
| SWE-bench Verified | — | 62.3% |
| SWE-bench Verified (bash only) | — | 58.4% |
| Aider Polyglot | — | 81.3% |
| GSO | — | 8.8% |
| WeirdML | — | 52.4% |
| CadEval | — | 74% |
| ALE-Bench | — | 933.55 |
Agentic & Tool Use Not comparable
Longcat Flash Chat: —, o3: 34.5 (#44)
| Benchmark | Longcat Flash Chat | o3 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 63% |
| GDPval | — | 30.8% |
| DeepResearch Bench | — | 45.2% |
| OSWorld | — | 23% |
| LMArena Search | — | 1144 |
| METR Time Horizons | — | 65.4% |
Reasoning o3 leads
Longcat Flash Chat: 19.0 (#272), o3: 32.0 (#78)
| Benchmark | Longcat Flash Chat | o3 |
|---|---|---|
| Kagi LLM Benchmark | 43.9% | 67.6% |
| LMArena Hard Prompts | 1440 | 1402 |
| ARC-AGI-2 | — | 6.5% |
| SimpleBench | — | 53.1% |
| NYT Connections (extended) | 17.7% | — |
| ARC-AGI-1 | — | 60.8% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 38% |
| EnigmaEval | — | 13.1% |
| Mystery Game Puzzles | — | 29% |
| DTBench | — | 84.8% |
| LMCA | — | 39.7% |
| Epoch Capabilities Index | — | 146.86 |
| ForecastBench | — | 62.5 |
Math o3 leads
Longcat Flash Chat: 39.4 (#107), o3: 50.2 (#58)
| Benchmark | Longcat Flash Chat | o3 |
|---|---|---|
| LMArena Math | 1442 | 1426 |
| FrontierMath (Tiers 1-3) | — | 33.3% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| Omni-MATH | — | 71.4% |
| MATH Level 5 | — | 97.8% |
| FrontierMath (Feb 2025 set) | — | 18.7% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge o3 leads
Longcat Flash Chat: 40.6 (#116), o3: 54.6 (#52)
| Benchmark | Longcat Flash Chat | o3 |
|---|---|---|
| LMArena Expert | 1454 | 1402 |
| GPQA Diamond | — | 81.8% |
| Humanity's Last Exam | — | 20.3% |
| SimpleQA Verified | — | 49.4% |
| MMLU-Pro | — | 85.9% |
| Confabulations | — | 14.4% |
| GPQA (HELM) | — | 75.3% |
Multimodal Not comparable
Longcat Flash Chat: —, o3: 41.4 (#36)
| Benchmark | Longcat Flash Chat | o3 |
|---|---|---|
| LMArena Vision | — | 1214 |
| GeoBench | — | 74% |
| VPCT | — | 52% |
Multilingual Too close to call
Longcat Flash Chat: 51.9 (#101), o3: 51.7 (#105)
| Benchmark | Longcat Flash Chat | o3 |
|---|---|---|
| LMArena Non-English | 1404 | 1401 |
| LMArena Chinese | 1465 | 1437 |
| LMArena French | 1456 | 1430 |
| LMArena German | 1408 | 1420 |
| LMArena Japanese | 1373 | 1403 |
| LMArena Korean | 1371 | 1370 |
| LMArena Russian | 1395 | 1406 |
| LMArena Spanish | 1445 | 1395 |
Instruction Following Longcat Flash Chat leads
Longcat Flash Chat: 74.4 (#96), o3: 72.8 (#127)
| Benchmark | Longcat Flash Chat | o3 |
|---|---|---|
| LMArena Instruction Following | 1411 | 1368 |
| IFEval | — | 86.9% |
Long Context o3 leads
Longcat Flash Chat: 43.5 (#93), o3: 53.3 (#6)
| Benchmark | Longcat Flash Chat | o3 |
|---|---|---|
| LMArena Longer Query | 1425 | 1372 |
| Fiction.LiveBench | — | 88.9% |
| CL-bench | — | 17.8% |
Writing & Preference o3 leads
Longcat Flash Chat: 61.0 (#91), o3: 63.5 (#64)
| Benchmark | Longcat Flash Chat | o3 |
|---|---|---|
| LMArena Text | 1427 | 1410 |
| LMArena Creative Writing | 1388 | 1359 |
| LMArena Multi-Turn | 1418 | 1405 |
| Short-Story Creative Writing | — | 83.9% |
| EQ-Bench Creative Writing | — | 1676 |
| WildBench | — | 86.1% |
Frequently asked questions
Is Longcat Flash Chat better than o3?
o3 is the stronger model overall, scoring 47.5 to 42.1 on the Noometry Index.
Is Longcat Flash Chat or o3 better for coding?
o3 scores higher on coding benchmarks: 46.8 versus 43.5 in the Noometry coding category.
How many benchmarks do Longcat Flash Chat and o3 share?
18 benchmarks have published results for both models. Longcat Flash Chat has 19 scored results on Noometry and o3 has 63.