Model comparison
Gemini 2.5 Pro vs Longcat Flash Chat
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 42.1 on the Noometry Index.
Last verified . 18 shared benchmarks.
GoogleSummary
- They share 18 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 6 categories and Longcat Flash Chat in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where Gemini 2.5 Pro leads 59.8 to 43.5.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 70.3% for Gemini 2.5 Pro and 43.9% for Longcat Flash Chat.
- Longcat Flash Chat has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Pro | Longcat Flash Chat | |
|---|---|---|
| Provider | Meituan | |
| Noometry Index | 45.0 | 42.1 |
| Released | 2025-03-25 | — |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 78 | 19 |
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Category by category
Coding Longcat Flash Chat leads
Gemini 2.5 Pro: 42.4 (#101), Longcat Flash Chat: 43.5 (#87)
| Benchmark | Gemini 2.5 Pro | Longcat Flash Chat |
|---|---|---|
| LMArena Coding | 1452 | 1471 |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| LMArena WebDev | 1227 | — |
| SciCode | 42.8% | — |
| GSO | 3.9% | — |
| WeirdML | 54% | — |
| LiveBench Coding | 85.9% | — |
| CadEval | 64% | — |
| ALE-Bench | 785.52 | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Pro: 29.2 (#88), Longcat Flash Chat: —
| Benchmark | Gemini 2.5 Pro | Longcat Flash Chat |
|---|---|---|
| Terminal-Bench | 32.6% | — |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| BALROG | 43.3% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
| Vending-Bench 2 | 573.64 | — |
Reasoning Gemini 2.5 Pro leads
Gemini 2.5 Pro: 28.8 (#99), Longcat Flash Chat: 19.0 (#272)
| Benchmark | Gemini 2.5 Pro | Longcat Flash Chat |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | 43.9% |
| LMArena Hard Prompts | 1455 | 1440 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| NYT Connections (extended) | — | 17.7% |
| ARC-AGI-1 | 41% | — |
| CritPt | 2% | — |
| Chess Puzzles | 20% | — |
| EnigmaEval | 5.6% | — |
| LiveBench Reasoning | 89.8% | — |
| DTBench | 82.4% | — |
| LiveBench Data Analysis | 79.9% | — |
| LMCA | 34.8% | — |
| Epoch Capabilities Index | 145.32 | — |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |
Math Longcat Flash Chat leads
Gemini 2.5 Pro: 32.5 (#213), Longcat Flash Chat: 39.4 (#107)
| Benchmark | Gemini 2.5 Pro | Longcat Flash Chat |
|---|---|---|
| LMArena Math | 1450 | 1442 |
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| OTIS Mock AIME 2024-2025 | 84.7% | — |
| Omni-MATH | 41.6% | — |
| LiveBench Math | 90.2% | — |
| MATH Level 5 | 95.9% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Pro leads
Gemini 2.5 Pro: 56.0 (#46), Longcat Flash Chat: 40.6 (#116)
| Benchmark | Gemini 2.5 Pro | Longcat Flash Chat |
|---|---|---|
| LMArena Expert | 1452 | 1454 |
| GPQA Diamond | 85.3% | — |
| Humanity's Last Exam | 21.6% | — |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| Vectara Hallucination Rate | 7% | — |
| GPQA (HELM) | 74.9% | — |
Multimodal Not comparable
Gemini 2.5 Pro: 45.2 (#18), Longcat Flash Chat: —
| Benchmark | Gemini 2.5 Pro | Longcat Flash Chat |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Gemini 2.5 Pro leads
Gemini 2.5 Pro: 55.3 (#31), Longcat Flash Chat: 51.9 (#101)
| Benchmark | Gemini 2.5 Pro | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | 1451 | 1404 |
| LMArena Chinese | 1507 | 1465 |
| LMArena French | 1472 | 1456 |
| LMArena German | 1487 | 1408 |
| LMArena Japanese | 1461 | 1373 |
| LMArena Korean | 1434 | 1371 |
| LMArena Russian | 1461 | 1395 |
| LMArena Spanish | 1473 | 1445 |
Instruction Following Too close to call
Gemini 2.5 Pro: 75.0 (#75), Longcat Flash Chat: 74.4 (#96)
| Benchmark | Gemini 2.5 Pro | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | 1437 | 1411 |
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.8 (#5), Longcat Flash Chat: 43.5 (#93)
| Benchmark | Gemini 2.5 Pro | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | 1449 | 1425 |
| Fiction.LiveBench | 91.7% | — |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.7 (#62), Longcat Flash Chat: 61.0 (#91)
| Benchmark | Gemini 2.5 Pro | Longcat Flash Chat |
|---|---|---|
| LMArena Text | 1458 | 1427 |
| LMArena Creative Writing | 1454 | 1388 |
| LMArena Multi-Turn | 1453 | 1418 |
| Short-Story Creative Writing | 83.8% | — |
| EQ-Bench Creative Writing | 1421 | — |
| WildBench | 85.7% | — |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than Longcat Flash Chat?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 42.1 on the Noometry Index.
Is Gemini 2.5 Pro or Longcat Flash Chat better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 42.4 in the Noometry coding category.
How many benchmarks do Gemini 2.5 Pro and Longcat Flash Chat share?
18 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Longcat Flash Chat has 19.