Model comparison
GPT-5-Codex vs Longcat Flash Chat
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 37.9 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. GPT-5-Codex scores higher in 1 category and Longcat Flash Chat in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 19.0.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 70.3% for GPT-5-Codex and 43.9% for Longcat Flash Chat.
- Longcat Flash Chat has downloadable open weights; the other is API-only.
Side by side
| GPT-5-Codex | Longcat Flash Chat | |
|---|---|---|
| Provider | OpenAI | Meituan |
| Noometry Index | 37.9 | 42.1 |
| Released | 2025-09-15 | — |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 3 | 19 |
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Category by category
Coding Longcat Flash Chat leads
GPT-5-Codex: 42.4 (#103), Longcat Flash Chat: 43.5 (#87)
| Benchmark | GPT-5-Codex | Longcat Flash Chat |
|---|---|---|
| WeirdML | 54.5% | — |
| LMArena Coding | — | 1471 |
Agentic & Tool Use Not comparable
GPT-5-Codex: 31.0 (#72), Longcat Flash Chat: —
| Benchmark | GPT-5-Codex | Longcat Flash Chat |
|---|---|---|
| Terminal-Bench | 44.3% | — |
Reasoning GPT-5-Codex leads
GPT-5-Codex: 30.9 (#83), Longcat Flash Chat: 19.0 (#272)
| Benchmark | GPT-5-Codex | Longcat Flash Chat |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | 43.9% |
| NYT Connections (extended) | — | 17.7% |
| LMArena Hard Prompts | — | 1440 |
Math Not comparable
GPT-5-Codex: —, Longcat Flash Chat: 39.4 (#107)
| Benchmark | GPT-5-Codex | Longcat Flash Chat |
|---|---|---|
| LMArena Math | — | 1442 |
Knowledge Not comparable
GPT-5-Codex: —, Longcat Flash Chat: 40.6 (#116)
| Benchmark | GPT-5-Codex | Longcat Flash Chat |
|---|---|---|
| LMArena Expert | — | 1454 |
Multilingual Not comparable
GPT-5-Codex: —, Longcat Flash Chat: 51.9 (#101)
| Benchmark | GPT-5-Codex | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | — | 1404 |
| LMArena Chinese | — | 1465 |
| LMArena French | — | 1456 |
| LMArena German | — | 1408 |
| LMArena Japanese | — | 1373 |
| LMArena Korean | — | 1371 |
| LMArena Russian | — | 1395 |
| LMArena Spanish | — | 1445 |
Instruction Following Not comparable
GPT-5-Codex: —, Longcat Flash Chat: 74.4 (#96)
| Benchmark | GPT-5-Codex | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | — | 1411 |
Long Context Not comparable
GPT-5-Codex: —, Longcat Flash Chat: 43.5 (#93)
| Benchmark | GPT-5-Codex | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | — | 1425 |
Writing & Preference Not comparable
GPT-5-Codex: —, Longcat Flash Chat: 61.0 (#91)
| Benchmark | GPT-5-Codex | Longcat Flash Chat |
|---|---|---|
| LMArena Text | — | 1427 |
| LMArena Creative Writing | — | 1388 |
| LMArena Multi-Turn | — | 1418 |
Frequently asked questions
Is GPT-5-Codex better than Longcat Flash Chat?
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 37.9 on the Noometry Index.
Is GPT-5-Codex 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 GPT-5-Codex and Longcat Flash Chat share?
1 benchmark has published results for both models. GPT-5-Codex has 3 scored results on Noometry and Longcat Flash Chat has 19.