Gemini 1.5 Pro
Google's long-context multimodal model with up to 2M token windows.
- Context
- 2M
- Max output
- 8.2K
- Input / 1M
- $1.25
- Output / 1M
- $5.00
- Output speed
- 65 t/s
Accepts
- Text input
- Image input
- Audio input
- Video input
Produces
- Text output
AI model comparison
Compare recorded price, context, output limits, speed, latency, capabilities, and input/output support. Every missing value stays visible, and unsourced benchmarks are excluded.
Gemini 1.5 Pro and LongCat-2.0 both come up when teams are choosing a model for production work, and the honest answer usually depends on your workload rather than a leaderboard. This page puts their published specifications side by side — context window, token pricing, supported inputs and outputs — so you can see where they actually differ.
Google's long-context multimodal model with up to 2M token windows.
Accepts
Produces
Meituan
Meituan LongCat-2.0, a reasoning model with tool calling and a 1M-token context window
Accepts
Produces
At a glance
This is a directional summary of the values recorded in this directory—not a universal quality verdict. Test the finalists on your own prompts before committing.
Where Gemini 1.5 Pro leads in recorded data
Where LongCat-2.0 leads in recorded data
Context capacity
Higher listed limit
Gemini 1.5 Pro:2M
LongCat-2.0:1M
Gemini 1.5 Pro
Maximum output
Higher listed limit
Gemini 1.5 Pro:8.2K
LongCat-2.0:131.1K
LongCat-2.0
Input price
Lower recorded price
Gemini 1.5 Pro:$1.25
LongCat-2.0:$0.75
LongCat-2.0
Output price
Lower recorded price
Gemini 1.5 Pro:$5.00
LongCat-2.0:$3.00
LongCat-2.0
Output speed
Higher recorded throughput
Gemini 1.5 Pro:65 t/s
LongCat-2.0:—
No complete comparison
Time to first token
Lower recorded latency
Gemini 1.5 Pro:0.90s
LongCat-2.0:—
No complete comparison
Intelligence Index
Higher directory index
Gemini 1.5 Pro:75.8
LongCat-2.0:—
No complete comparison
Evidence
A score appears only when both records include a verified source. It is not treated as a universal ranking.
Specifications
| Specification | Gemini 1.5 Pro | LongCat-2.0 |
|---|---|---|
| Provider | Meituan | |
| Model family | Gemini 1.5 | longcat |
| Accepted inputs | text, image, audio, video | text |
| Produced outputs | text | text |
| Context window | 2MRecorded lead | 1M |
| Max output | 8.2K | 131.1KRecorded lead |
| Intelligence Index | 75.8 | — |
| Input price / 1M | $1.25 | $0.75Recorded lead |
| Output price / 1M | $5.00 | $3.00Recorded lead |
| Output speed | 65 t/s | — |
| Time to first token | 0.90s | — |
| Reasoning mode | Not documented | Documented |
| Tool calling | Documented | Documented |
| Image input | Documented | Not documented |
| Audio input | Documented | Not documented |
| Structured output | Documented | Not documented |
| License | Proprietary | Proprietary |
| Released | May 14, 2024 | Jun 30, 2026 |
Workload guidance
On the published numbers, Gemini 1.5 Pro accepts the larger context window and LongCat-2.0 is cheaper per input token. Which matters more depends on whether your bottleneck is document size or spend — the table above has the exact figures.
Provenance
Prices and hosted performance can change. SyncDev records source references and clearly separates documented specifications from measured values; confirm commercial terms with the provider before deployment.
Gemini 1.5 Pro
Google · model record and recorded source
LongCat-2.0
Meituan · model record and recorded source
Choose any two approved model records and review them with the same evidence rules.