Side by side
Gemini 3.5 Flash-Lite and LongCat-2.5, line by line
Prices in effect today, compared at the same tier wherever both list one. The better value in each row is highlighted.
| Fact | Gemini 3.5 Flash-Lite | LongCat-2.5 |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $0.30 | $0.30 |
| Price per 1M output tokens | $2.50 | $1.20 (better) |
| Independent benchmarks | ||
| Arena Text | 1456 Elo (#31 of 51) | Not measured |
| Arena WebDev | 1434 Elo (#39 of 45) | Not measured |
| FrontierMath Tiers 1-3 (v2) | 26% (#40 of 42) | Not measured |
| GPQA Diamond | 83.3% (#36 of 41) | Not measured |
| Specs | ||
| Provider | Meituan | |
| Release date | July 21, 2026 | November 2, 2026 |
| Access | API only | API only |
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Max output | 65,536 tokens | 262,144 tokens |
| Input | text, image, audio, video | text, image, video |
| Output | text | text |
No independent benchmark has scored both models yet. Each rank counts the current models scored on that benchmark.
Charts
Against every current text model
Where Gemini 3.5 Flash-Lite and LongCat-2.5 land among the current models of their task, on every independent benchmark, on price and on context.
Where each stands
Only Gemini 3.5 Flash-Lite has a current Arena Text score: #31 of 51. Each bar is the share of current models it beats.
Independent benchmarks
Arena Text
Gemini 3.5 Flash-Lite:#31of 51
1,456 Elo · ahead of 40%
LongCat-2.5: Not scored
Arena WebDev
Gemini 3.5 Flash-Lite:#39of 45
1,434 Elo · ahead of 14%
LongCat-2.5: Not scored
FrontierMath Tiers 1-3 (v2)
Gemini 3.5 Flash-Lite:#40of 42
26% · ahead of 5%
LongCat-2.5: Not scored
GPQA Diamond
Gemini 3.5 Flash-Lite:#36of 41
83.3% · ahead of 13%
LongCat-2.5: Not scored
Price and context
Price per 1M input tokens
Gemini 3.5 Flash-Lite:#11of 52
$0.30 · cheaper than 75%
LongCat-2.5:#11of 52
$0.30 · cheaper than 75%
Price per 1M output tokens
Gemini 3.5 Flash-Lite:#17of 52
$2.50 · cheaper than 65%
LongCat-2.5:#10of 52
$1.20 · cheaper than 76%
Context window
Gemini 3.5 Flash-Lite:#11of 64
1.05M tokens · longer than 67%
LongCat-2.5:#11of 64
1.05M tokens · longer than 67%
Quality against price
Gemini 3.5 Flash-Lite scores 1,456 at $0.85 (blended price per 1M tokens). The line joins the current models no other beats on both price and Arena Text score; hover any point to name it.
Quality against price: the data
| Model | Provider | Blended price per 1M tokens | Arena Text (Elo) |
|---|---|---|---|
| Gemini 4 Argon | $4 | 1,520 | |
| Claude Opus 5.5 | Anthropic | $8 | 1,509 |
| Muse Wonder | Meta | $8 | 1,507 |
| Claude Fable 5 | Anthropic | $20 | 1,504 |
| Claude Fable 5.1 | Anthropic | $20 | 1,504 |
| Gemini 3.8 Flash | $1.50 | 1,496 | |
| Muse Spark 1.3 | Meta | $2 | 1,495 |
| Claude Opus 5 | Anthropic | $10 | 1,492 |
| Kimi K3 | Moonshot Kimi | $6 | 1,488 |
| GPT-5.6 Sol | OpenAI | $8 | 1,485 |
| Gemini 3.6 Flash | $3 | 1,483 | |
| GPT-5.5 | OpenAI | $11 | 1,482 |
| Claude Opus 4.8 | Anthropic | $10 | 1,482 |
| Qwen3.8-Max | Alibaba Qwen | $3 | 1,482 |
| GPT-6.1 Sol | OpenAI | $4 | 1,481 |
| GLM-5.3 | Z.ai | $2.15 | 1,481 |
| MiMo-V2.6-Pro | Xiaomi MiMo | $0.54 | 1,480 |
| Claude Sonnet 5.5 | Anthropic | $4 | 1,477 |
| GLM-5.3-Flash | Z.ai | $0.24 | 1,477 |
| GPT-6 Astra | OpenAI | $20 | 1,476 |
| DeepSeek-V4.1-Flash | DeepSeek | $0.52 | 1,476 |
| GPT-5.4 | OpenAI | $5.63 | 1,475 |
| Gemini 3 Flash Preview | $1.13 | 1,473 | |
| Grok 4.20 | xAI | $1.56 | 1,472 |
| GPT-5.6 Terra | OpenAI | $4.50 | 1,467 |
| Grok 4.5 | xAI | $3 | 1,465 |
| DeepSeek-V4-Pro | DeepSeek | $1.98 | 1,465 |
| Claude Sonnet 5 | Anthropic | $4 | 1,462 |
| GPT-6 Sol | OpenAI | $4 | 1,458 |
| Gemini 3.5 Flash-Lite | $0.85 | 1,456 | |
| Grok 4.6 | xAI | $3 | 1,455 |
| GPT-5.6 Luna | OpenAI | $0.45 | 1,453 |
| MiMo-V2.6-Flash | Xiaomi MiMo | $0.18 | 1,448 |
| Step 5 Preview | StepFun | $1.43 | 1,448 |
| Grok 4.3 | xAI | $1.56 | 1,442 |
| GPT-6 Luna | OpenAI | $0.20 | 1,441 |
| Grok 4.7 | xAI | $3 | 1,441 |
| Mistral Large 4 | Mistral AI | $1.05 | 1,432 |
| Claude Haiku 5.5 | Anthropic | $0.20 | 1,425 |
| GPT-4.1 | OpenAI | $3.50 | 1,415 |
| Solar Pro 4 | Upstage | $0.52 | 1,388 |
| GPT-4.1 mini | OpenAI | $0.70 | 1,383 |
| GPT-4.1 nano | OpenAI | $0.18 | 1,322 |
Cost
What each costs
Example workloads at each provider's listed rates, then every other rate either one lists. The cheaper figure in each row is highlighted.
The same work, priced
For 10M input and 2M output tokens, Gemini 3.5 Flash-Lite costs 1.5 times as much as LongCat-2.5, at each provider's listed rates.
10M input and 2M output tokens
Gemini 3.5 Flash-Lite costs 1.5× as much
- Gemini 3.5 Flash-Lite
- $8
- LongCat-2.5
- $5.40
The same, with 9M of the input tokens cached
Gemini 3.5 Flash-Lite costs 2.0× as much
- Gemini 3.5 Flash-Lite
- $5.57
- LongCat-2.5
- $2.75
| Workload or rate | Gemini 3.5 Flash-Lite | LongCat-2.5 |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $8 | $5.40 (better) |
| The same, with 9M of the input tokens cached | $5.57 | $2.75 (better) |
| Other listed rates | ||
| 1M input tokens, cached | $0.03 | $0.006 (better) |
Your own bill will differ. These figures use list prices and example workloads. The AI Model Cost Audit reviews your real usage, shortlists models that score as well for each task for less, and estimates the savings.
Launch price $100, regular price $150
Verdict
When to choose each
Gemini 3.5 Flash-Lite
Where it leads
- Accepts audio input
Best for
- High-volume extraction, structured parsing, and cost-sensitive subagent trials
Watch out for
- The represented prices are standard API rates; batch, flex, and priority consumption use different rates
LongCat-2.5
Where it leads
- Lower price per 1M output tokens, $1.20 vs $2.50
- Longer responses, up to 262,144 vs 65,536 output tokens
- Cheaper cached input, $0.006 vs $0.03 per 1M tokens
Best for
- Coding agents working through whole projects in Claude Code, Codex or similar harnesses
- Visual coding and design work that mixes screenshots or screen recordings with code
Watch out for
- The recorded rates are a limited-time discount: Meituan publishes no list price and no end date
- API only: no weights had been published when this record was made
- Released on 2 November 2026, so no independent benchmark score is recorded here yet
From benchmark to production
Building on Gemini 3.5 Flash-Lite or LongCat-2.5?
Public scores rarely hold on your own data. We test both models on your real tasks, then build the agent or pipeline around the one that wins.
AI Model Cost AuditLaunch price $100, regular price $150What the audit includes
FAQ
Gemini 3.5 Flash-Lite vs LongCat-2.5 FAQ
Which is cheaper, Gemini 3.5 Flash-Lite or LongCat-2.5?
Both cost $0.30 per 1M input tokens. For 10M input and 2M output tokens, Gemini 3.5 Flash-Lite costs $8 and LongCat-2.5 $5.40 at standard rates.
Which is cheaper with prompt caching, Gemini 3.5 Flash-Lite or LongCat-2.5?
Gemini 3.5 Flash-Lite charges $0.03 per 1M cached input tokens, 90% below its standard input rate, and LongCat-2.5 $0.006, 98% below. With 9M of 10M input tokens cached and 2M output tokens, Gemini 3.5 Flash-Lite costs $5.57 and LongCat-2.5 $2.75.
Which has the larger context window, Gemini 3.5 Flash-Lite or LongCat-2.5?
Both accept 1,048,576 tokens of context. LongCat-2.5 returns up to 262,144 tokens per response, Gemini 3.5 Flash-Lite 65,536.
How do Gemini 3.5 Flash-Lite and LongCat-2.5 differ in features?
Gemini 3.5 Flash-Lite takes text, image, audio and video input; LongCat-2.5 takes text, image and video.
Further reading
More on Gemini 3.5 Flash-Lite and LongCat-2.5
Related comparisons
- Claude Haiku 5.5 vs Gemini 3.5 Flash-Lite
- DeepSeek-V4.1-Flash vs LongCat-2.5
- Gemini 3.5 Flash-Lite vs GPT-6 Luna
- Gemini 3.1 Flash-Lite vs LongCat-2.5
- DeepSeek-V4.1-Flash vs Gemini 3.5 Flash-Lite
- LongCat-2.5 vs Solar Pro 4
- Gemini 3.5 Flash-Lite vs GLM-5.3-Flash
- Gemini 3.5 Flash-Lite vs Grok 4.6
- Gemini 3.5 Flash vs Gemini 3.5 Flash-Lite
- Gemini 3.5 Flash-Lite vs GPT-4.1 mini
- Gemini 3.5 Flash-Lite vs GPT-5.6 Luna
- Gemini 3.5 Flash-Lite vs Solar Pro 4
Production evaluation
Choosing between Gemini 3.5 Flash-Lite and LongCat-2.5?
Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- A head-to-head evaluation on your real workload
- Routing between models by cost and difficulty
