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Gemini 3.7 Flash vs LongCat-2.5

Gemini 3.7 Flash and LongCat-2.5 are closely matched at 47.2 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 3.7 Flash and LongCat-2.5 are closely matched on the overall LLM Stats Score at 47.2 and 50.0.

In the 3 individual benchmarks reported for both models, LongCat-2.5 wins 2; this is a narrower head-to-head signal than the composite indexes.

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.

LongCat-2.5 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Gemini 3.7 Flash

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

Choose LongCat-2.5

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • cost matters — it's about 2.9x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

Gemini 3.7 Flash
Google
LongCat-2.5
Meituan
Core performance indexes
LLM Stats Score
47.2
#39
50.0
#20
Reasoning
44.5
#47
48.3
#21
Coding
32.3
#56
38.6
#27
Agents
31.6
#44
36.3
#23
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
$0.75 / M
$0.30 / M
Output price
$3.75 / M
$1.20 / M
Context window
1,000,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 3.7 Flash
LongCat-2.5
Vision
32.1#31
32.5#29
Tool use
22.6#59
30.2#15
Multimodal
32.8#23
34.8#15
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 3.7 Flash · 23 for LongCat-2.5

3 shared

Gemini 3.7 Flash outperforms in 1 benchmarks (DeepSWE 1.1), while LongCat-2.5 is better at 2 benchmarks (CharXiv-R, Terminal-Bench 2.1).

LongCat-2.5 shows notably better performance in the majority of 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 3.7 Flash ($0.75/1M tokens) is 2.5x more expensive than LongCat-2.5 ($0.30/1M tokens).

For output processing, Gemini 3.7 Flash ($3.75/1M tokens) is 3.1x more expensive than LongCat-2.5 ($1.20/1M tokens).

In conclusion, Gemini 3.7 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 3.7 Flash
Input tokens$0.75
Output tokens$3.75
Best providerDeepinfra
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

LongCat-2.5 accepts 1,048,576 input tokens compared to Gemini 3.7 Flash's 1,000,000 tokens. Gemini 3.7 Flash can generate longer responses up to 1,000,000 tokens, while LongCat-2.5 is limited to 131,072 tokens.

Google
Gemini 3.7 Flash
Input1,000,000 tokens
Output1,000,000 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 3.7 Flash and LongCat-2.5 support multimodal inputs.

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

Gemini 3.7 Flash

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

Gemini 3.7 Flash was released on 2026-08-13, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 3 months newer than Gemini 3.7 Flash.

Gemini 3.7 Flash

Aug 13, 2026

2 months ago

LongCat-2.5

Nov 1, 2026

6 days ago

2mo newer

Knowledge Cutoff

When training data ends

Gemini 3.7 Flash has a documented knowledge cutoff of 2026-03-31, while LongCat-2.5's cutoff date is not specified.

We can confirm Gemini 3.7 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without LongCat-2.5's cutoff date.

Gemini 3.7 Flash

Mar 2026

LongCat-2.5

—

Provider Availability

Gemini 3.7 Flash is available from DeepInfra, Google. LongCat-2.5 is available from Meituan.

Gemini 3.7 Flash

deepinfra logo
Deepinfra
Input Price:Input: $0.75/1MOutput Price:Output: $3.75/1M
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 3.7 Flash and LongCat-2.5 side-by-side, then vote on the output you prefer.

Gemini 3.7 Flash
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about Gemini 3.7 Flash vs LongCat-2.5.

Which is better, Gemini 3.7 Flash or LongCat-2.5?

Gemini 3.7 Flash and LongCat-2.5 are closely matched on the LLM Stats Score at 47.2 and 50.0. Gemini 3.7 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 3.7 Flash compare to LongCat-2.5 in benchmarks?

Gemini 3.7 Flash scores MRCR v2 (8-needle): 97.0%, Harvey LAB-AA: 90.7%, CharXiv-R: 88.7%, Terminal-Bench 2.1: 85.8%, LVBench: 85.4%. 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 3.7 Flash cheaper than LongCat-2.5?

LongCat-2.5 is 2.5x cheaper for input tokens. Gemini 3.7 Flash costs $0.75/M input and $3.75/M output via deepinfra. LongCat-2.5 costs $0.30/M input and $1.20/M output via meituan.

What are the context window sizes for Gemini 3.7 Flash and LongCat-2.5?

Gemini 3.7 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 3.7 Flash and LongCat-2.5?

Key differences include LLM Stats Score (47.2 vs 50.0), context window (1.0M vs 1.0M), 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 3.7 Flash and LongCat-2.5?

Gemini 3.7 Flash is developed by Google and LongCat-2.5 is developed by Meituan.

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