AI model comparison
LongCat 2.0 vs Gemini 3.1 Flash Lite
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Meituan
LongCat 2.0
LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total.
- Input / 1M
- $0.30
- Output / 1M
- $1.20
- Context
- 1.05M
Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads.
- Input / 1M
- $0.25
- Output / 1M
- $1.50
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
LongCat 2.0
1.0x cheaper for a typical chat
Higher intelligence score
LongCat 2.0
19.1 vs 15.6 on Artificial Analysis
Larger context window
LongCat 2.0
1.05M vs 1.05M tokens
Newer release
LongCat 2.0
Released July 20, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
LongCat 2.0 vs Gemini 3.1 Flash Lite API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.30 | $0.25 |
| Output tokensPer 1M tokens | $1.20 | $1.50 |
| Cached input (read)Per 1M tokens | $0.01 | $0.03 |
| Cache writePer 1M tokens | Not available | $0.08 |
| Web searchPer request | Not available | $0.014 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 262K tokens | 66K tokens |
| Input types | Text | Audio, File, Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Not available | High, Medium, Low, Minimal |
| Default reasoning effort | Not available | Minimal |
| Release date | July 20, 2026 | May 7, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Not supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Our take
LongCat 2.0 is 1.0x cheaper for a typical chat. LongCat 2.0 scores higher on the Artificial Analysis Intelligence Index (19.1 vs 15.6). LongCat 2.0 has the larger context window (1.05M vs 1.05M tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is LongCat 2.0 or Gemini 3.1 Flash Lite cheaper?
LongCat 2.0 is cheaper for a typical chat (2K input tokens and 500 output tokens). LongCat 2.0 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens, while Gemini 3.1 Flash Lite costs $0.25 per 1M input tokens and $1.50 per 1M output tokens.
Which has a bigger context window, LongCat 2.0 or Gemini 3.1 Flash Lite?
LongCat 2.0 supports up to 1.05M tokens of context, compared with 1.05M for Gemini 3.1 Flash Lite.
Is LongCat 2.0 smarter than Gemini 3.1 Flash Lite?
On the Artificial Analysis Intelligence Index, LongCat 2.0 scores 19.1 and Gemini 3.1 Flash Lite scores 15.6, putting LongCat 2.0 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use LongCat 2.0 and Gemini 3.1 Flash Lite at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see LongCat 2.0 and Gemini 3.1 Flash Lite answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to LongCat 2.0 and Gemini 3.1 Flash Lite at the same time. Compare the answers side by side and keep the best one.