Gemma 3 4B vs LongCat-2.5
LongCat-2.5 leads the LLM Stats Score 50.0 to -2.4. Gemma 3 4B is 21.0x cheaper per token.
Google · Meituan · Updated for 2026
Which is better?
LongCat-2.5 leads the overall LLM Stats Score 50.0 to -2.4, ranking #20 overall.
On price, Gemma 3 4B is roughly 21.0x 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 Gemma 3 4B
- cost matters — it's about 21.0x cheaper per token
- you need open weights you can self-host or fine-tune
Choose LongCat-2.5
- overall performance matters — it scores 50.0 and ranks #20 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
26 reported for Gemma 3 4B · 23 for LongCat-2.5
Gemma 3 4B and LongCat-2.5don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 3 4B ($0.02/1M tokens) is 15.0x cheaper than LongCat-2.5 ($0.30/1M tokens).
For output processing, Gemma 3 4B ($0.04/1M tokens) is 30.0x cheaper than LongCat-2.5 ($1.20/1M tokens).
In conclusion, LongCat-2.5 is more expensive than Gemma 3 4B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
LongCat-2.5 has 1596.0B more parameters than Gemma 3 4B, making it 39900.0% larger.
Context Window
Maximum input and output token capacity
LongCat-2.5 accepts 1,048,576 input tokens compared to Gemma 3 4B's 131,072 tokens. Both models can generate responses up to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemma 3 4B and LongCat-2.5 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3 4B
LongCat-2.5
Release Timeline
When each model was launched
Gemma 3 4B was released on 2025-03-12, while LongCat-2.5 was released on 2026-11-01.
LongCat-2.5 is 20 months newer than Gemma 3 4B.
Mar 12, 2025
1.6 years ago
Nov 1, 2026
0 days ago
1.6yr newerKnowledge Cutoff
When training data ends
Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while LongCat-2.5's cutoff date is not specified.
We can confirm Gemma 3 4B's training data extends to 2024-08-01, but cannot make a direct comparison without LongCat-2.5's cutoff date.
Aug 2024
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Provider Availability
Gemma 3 4B is available from DeepInfra. LongCat-2.5 is available from Meituan.
Gemma 3 4B
LongCat-2.5
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3 4B and LongCat-2.5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3 4B vs LongCat-2.5.