Compare / head-to-head
GPT-5 nanovsLongCat Flash Chat
LongCat Flash Chat leads 2 of 3 shared benchmarks. GPT-5 nano has the larger context window (400K tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
1 – 2
LongCat Flash Chat leads
Cheaper per token
—
list price, input + output
Larger context
GPT-5 nano
400K tokens
Provider uptime (30d)
95.4545% · —
OpenAI · Meituan LongCat
GPT-5 nano
OpenAI · released 2025-08-07
textvision
LongCat Flash Chat
Meituan LongCat · released 2025-09-01
text
- Context
- 128K
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 31 · 9 core
Quality
Benchmark matrix
3 shared · 4 only GPT-5 nano · 28 only LongCat Flash Chat| Benchmark | GPT-5 nano | LongCat Flash Chat | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 3 | ||||
| SWE-bench Verified | 54.7% ↗ | 60.4% ↗ | -5.7 pt | LongCat Flash Chat |
| GPQA Diamond | 69.4% ↗epoch | 73.23% ↗ | -3.8 pt | LongCat Flash Chat |
| AIME 2025 | 85% ↗matharena ⚠ | 61.25% ↗ | +23.8 pt | GPT-5 nano |
| Only GPT-5 nano reports · 4 | ||||
| FrontierMath Tier 4 v2 (Epoch AI run) | 2.4% ↗epoch | not reported | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 20% ↗epoch | not reported | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 81.1% ↗epoch | not reported | — | — |
| SimpleQA Verified | 11.7% ↗epoch | not reported | — | — |
| Only LongCat Flash Chat reports · 28 | ||||
| MMLU | not reported | 89.71% ↗ | — | — |
| MMLU-Pro | not reported | 82.68% ↗ | — | — |
| LMArena Elo | not reported | 1422.9 ↗ | — | — |
| AceBench | not reported | 76.1% ↗ | — | — |
| AIME 2024 | not reported | 70.42% ↗ | — | — |
| ArenaHard-V2 | not reported | 86.5% ↗ | — | — |
| BeyondAIME | not reported | 43% ↗ | — | — |
| C-Eval | not reported | 90.44% ↗ | — | — |
| CMMLU | not reported | 84.34% ↗ | — | — |
| COLLIE | not reported | 57.1% ↗ | — | — |
| DROP | not reported | 79.06% ↗ | — | — |
| GraphWalks-128k | not reported | 51.05% ↗ | — | — |
| HumanEval+ | not reported | 88.41% ↗ | — | — |
| IFEval | not reported | 89.65% ↗ | — | — |
| LiveCodeBench | not reported | 48.02% ↗ | — | — |
| MATH500 | not reported | 96.4% ↗ | — | — |
| MBPP+ | not reported | 79.63% ↗ | — | — |
| Meeseeks-zh | not reported | 43.03% ↗ | — | — |
| Safety: Criminal | not reported | 91.24% ↗ | — | — |
| Safety: Harmful | not reported | 83.98% ↗ | — | — |
| Safety: Misinformation | not reported | 81.72% ↗ | — | — |
| Safety: Privacy | not reported | 93.98% ↗ | — | — |
| Tau2-Bench (airline) | not reported | 58% ↗ | — | — |
| Tau2-Bench (retail) | not reported | 71.27% ↗ | — | — |
| Tau2-Bench (telecom) | not reported | 73.68% ↗ | — | — |
| TerminalBench | not reported | 39.51% ↗ | — | — |
| VitaBench | not reported | 24.3% ↗ | — | — |
| ZebraLogic | not reported | 89.3% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is GPT-5 nano minus LongCat Flash Chat in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | GPT-5 nano | LongCat Flash Chat | Edge |
|---|---|---|---|
| Context window | 400K tokens | 128K tokens | GPT-5 nano |
| Max output | 128K tokens | — | — |
| Input price / 1M | $0.05 ↗ | — | — |
| Output price / 1M | $0.4 ↗ | — | — |
| Cached input / 1M | $0.005 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $0.45 | — | — |
| Modalities | text · vision | text | GPT-5 nano |
| Released | 2025-08-07 | 2025-09-01 | — |
| Cited benchmark scores | 7 | 31 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
GPT-5 nano vs …
Models sharing the most benchmarksMore matchups
LongCat Flash Chat vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
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