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Gemini 3.8 Flash vs LongCat-2.5

Gemini 3.8 Flash and LongCat-2.5 are closely matched at 48.9 and 50.0 on the LLM Stats Score. LongCat-2.5 is 2.9x cheaper per token.

Google · Meituan · Updated for 2026

Which is better?

Gemini 3.8 Flash and LongCat-2.5 are closely matched on the overall LLM Stats Score at 48.9 and 50.0.

The models split the 4 individual benchmarks reported for both models evenly.

On price, LongCat-2.5 is roughly 2.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 3.8 Flash

  • you want predictable pricing at $0.75/M input and $3.75/M output

Choose LongCat-2.5

  • cost matters — it's about 2.9x cheaper per token
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

Gemini 3.8 Flash
Google
LongCat-2.5
Meituan
Core performance indexes
LLM Stats Score
48.9
#29
50.0
#20
Reasoning
46.0
#34
48.3
#21
Coding
34.9
#39
38.6
#27
Agents
34.2
#35
36.3
#23
Cost, coverage & limits
Benchmark wins
2 of 4
2 of 4
Input price
$0.75 / M
$0.30 / M
Output price
$3.75 / M
$1.20 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 3.8 Flash
LongCat-2.5
Vision
33.7#22
32.5#29
Tool use
23.3#53
30.2#15
Multimodal
34.4#19
34.8#15
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 3.8 Flash · 23 for LongCat-2.5

4 shared

Gemini 3.8 Flash outperforms in 2 benchmarks (DeepSWE 1.1, Terminal-Bench 2.1), while LongCat-2.5 is better at 2 benchmarks (CharXiv-R, Terminal-Bench 4.0).

Both models are evenly matched across the benchmarks.

Sat Nov 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

LongCat-2.5 costs less

For input processing, Gemini 3.8 Flash ($0.75/1M tokens) is 2.5x more expensive than LongCat-2.5 ($0.30/1M tokens).

For output processing, Gemini 3.8 Flash ($3.75/1M tokens) is 3.1x more expensive than LongCat-2.5 ($1.20/1M tokens).

In conclusion, Gemini 3.8 Flash is more expensive than LongCat-2.5.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Nov 07 2026 • llm-stats.com
Google
Gemini 3.8 Flash
Input tokens$0.75
Output tokens$3.75
Best providerGoogle
Meituan
LongCat-2.5
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. LongCat-2.5 can generate longer responses up to 131,072 tokens, while Gemini 3.8 Flash is limited to 65,536 tokens.

Google
Gemini 3.8 Flash
Input1,048,576 tokens
Output65,536 tokens
Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Sat Nov 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3.8 Flash and LongCat-2.5 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 3.8 Flash

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

Gemini 3.8 Flash was released on 2026-09-02, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 2 months newer than Gemini 3.8 Flash.

Gemini 3.8 Flash

Sep 2, 2026

2 months ago

LongCat-2.5

Nov 1, 2026

6 days ago

2mo newer

Knowledge Cutoff

When training data ends

Gemini 3.8 Flash has a documented knowledge cutoff of 2026-03-31, while LongCat-2.5's cutoff date is not specified.

We can confirm Gemini 3.8 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without LongCat-2.5's cutoff date.

Gemini 3.8 Flash

Mar 2026

LongCat-2.5

—

Provider Availability

Gemini 3.8 Flash is available from Google. LongCat-2.5 is available from Meituan.

Gemini 3.8 Flash

google logo
Google
Input Price:Input: $0.75/1MOutput Price:Output: $3.75/1M

LongCat-2.5

meituan logo
Meituan
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 3.8 Flash and LongCat-2.5 side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash vs LongCat-2.5.

Which is better, Gemini 3.8 Flash or LongCat-2.5?

Gemini 3.8 Flash and LongCat-2.5 are closely matched on the LLM Stats Score at 48.9 and 50.0. Gemini 3.8 Flash is made by Google and LongCat-2.5 is made by Meituan. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 3.8 Flash compare to LongCat-2.5 in benchmarks?

Gemini 3.8 Flash scores Terminal-Bench 2.1: 89.4%, LVBench: 87.1%, CharXiv-R: 86.2%, LABBench2: 86.2%, DeepSWE 1.1: 73.7%. LongCat-2.5 scores MathVision: 96.5%, BrowseComp: 91.9%, CharXiv-R: 90.2%, Terminal-Bench 2.1: 88.4%, Video-MME: 85.2%.

Is Gemini 3.8 Flash cheaper than LongCat-2.5?

LongCat-2.5 is 2.5x cheaper for input tokens. Gemini 3.8 Flash costs $0.75/M input and $3.75/M output via google. LongCat-2.5 costs $0.30/M input and $1.20/M output via meituan.

What are the context window sizes for Gemini 3.8 Flash and LongCat-2.5?

Gemini 3.8 Flash supports 1.0M tokens and LongCat-2.5 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.8 Flash and LongCat-2.5?

Key differences include LLM Stats Score (48.9 vs 50.0), input pricing ($0.75 vs $0.30/M), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash and LongCat-2.5?

Gemini 3.8 Flash is developed by Google and LongCat-2.5 is developed by Meituan.

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