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Gemma 4 26B-A4B vs LongCat-Flash-Thinking

Gemma 4 26B-A4B and LongCat-Flash-Thinking are closely matched at 29.6 and 28.6 on the LLM Stats Score. Gemma 4 26B-A4B is 3.8x cheaper per token.

Google · Meituan · Updated for 2026

Which is better?

Gemma 4 26B-A4B and LongCat-Flash-Thinking are closely matched on the overall LLM Stats Score at 29.6 and 28.6.

The models split the 2 individual benchmarks reported for both models evenly.

On price, Gemma 4 26B-A4B is roughly 3.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemma 4 26B-A4B also accepts a larger context window (262,144 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 4 26B-A4B

  • cost matters — it's about 3.8x cheaper per token
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Apr 2026

Choose LongCat-Flash-Thinking

  • you want predictable pricing at $0.30/M input and $1.20/M output

At a glance

The differences that matter most.

Gemma 4 26B-A4B
Google
LongCat-Flash-Thinking
Meituan
Core performance indexes
LLM Stats Score
29.6
#132
28.6
#139
Reasoning
29.2
#127
28.8
#130
Agents
12.6
#105
12.9
#101
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$0.07 / M
$0.30 / M
Output price
$0.34 / M
$1.20 / M
Context window
262,144
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 4 26B-A4B
LongCat-Flash-Thinking
Math
25.3#113
28.1#96
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Gemma 4 26B-A4B · 14 for LongCat-Flash-Thinking

2 shared

Gemma 4 26B-A4B outperforms in 1 benchmarks (GPQA), while LongCat-Flash-Thinking is better at 0 benchmarks.

Gemma 4 26B-A4B has a slight edge in benchmark performance.

Wed Sep 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemma 4 26B-A4B costs less

For input processing, Gemma 4 26B-A4B ($0.07/1M tokens) is 4.3x cheaper than LongCat-Flash-Thinking ($0.30/1M tokens).

For output processing, Gemma 4 26B-A4B ($0.34/1M tokens) is 3.5x cheaper than LongCat-Flash-Thinking ($1.20/1M tokens).

In conclusion, LongCat-Flash-Thinking is more expensive than Gemma 4 26B-A4B.*

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

Lowest available price from all providers
Wed Sep 23 2026 • llm-stats.com
Google
Gemma 4 26B-A4B
Input tokens$0.07
Output tokens$0.34
Best providerDeepinfra
Meituan
LongCat-Flash-Thinking
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

534.8B diff

LongCat-Flash-Thinking has 534.8B more parameters than Gemma 4 26B-A4B, making it 2122.2% larger.

Google
Gemma 4 26B-A4B
25.2Bparameters
Meituan
LongCat-Flash-Thinking
560.0Bparameters
25.2B
Gemma 4 26B-A4B
560.0B
LongCat-Flash-Thinking

Context Window

Maximum input and output token capacity

Gemma 4 26B-A4B accepts 262,144 input tokens compared to LongCat-Flash-Thinking's 128,000 tokens. Gemma 4 26B-A4B can generate longer responses up to 262,144 tokens, while LongCat-Flash-Thinking is limited to 128,000 tokens.

Google
Gemma 4 26B-A4B
Input262,144 tokens
Output262,144 tokens
Meituan
LongCat-Flash-Thinking
Input128,000 tokens
Output128,000 tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 4 26B-A4B supports multimodal inputs, whereas LongCat-Flash-Thinking does not.

Gemma 4 26B-A4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 4 26B-A4B

Text
Images
Audio
Video

LongCat-Flash-Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 4 26B-A4B is licensed under Apache 2.0, while LongCat-Flash-Thinking uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Gemma 4 26B-A4B

Apache 2.0

Open weights

LongCat-Flash-Thinking

MIT

Open weights

Release Timeline

When each model was launched

Gemma 4 26B-A4B was released on 2026-04-02, while LongCat-Flash-Thinking was released on 2025-09-22.

Gemma 4 26B-A4B is 6 months newer than LongCat-Flash-Thinking.

Gemma 4 26B-A4B

Apr 2, 2026

5 months ago

6mo newer
LongCat-Flash-Thinking

Sep 22, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

Gemma 4 26B-A4B has a documented knowledge cutoff of 2025-01-01, while LongCat-Flash-Thinking's cutoff date is not specified.

We can confirm Gemma 4 26B-A4B's training data extends to 2025-01-01, but cannot make a direct comparison without LongCat-Flash-Thinking's cutoff date.

Gemma 4 26B-A4B

Jan 2025

LongCat-Flash-Thinking

—

Provider Availability

Gemma 4 26B-A4B is available from DeepInfra, Novita. LongCat-Flash-Thinking is available from Meituan.

Gemma 4 26B-A4B

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.34/1M
novita logo
Novita
Input Price:Input: $0.13/1MOutput Price:Output: $0.40/1M

LongCat-Flash-Thinking

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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 4 26B-A4B and LongCat-Flash-Thinking side-by-side, then vote on the output you prefer.

Gemma 4 26B-A4B
✓ Preferred
LongCat-Flash-Thinking
Open in Playground

FAQ

Common questions about Gemma 4 26B-A4B vs LongCat-Flash-Thinking.

Which is better, Gemma 4 26B-A4B or LongCat-Flash-Thinking?

Gemma 4 26B-A4B and LongCat-Flash-Thinking are closely matched on the LLM Stats Score at 29.6 and 28.6. Gemma 4 26B-A4B is made by Google and LongCat-Flash-Thinking is made by Meituan. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemma 4 26B-A4B compare to LongCat-Flash-Thinking in benchmarks?

Gemma 4 26B-A4B scores AIME 2026: 88.3%, MMMLU: 86.3%, t2-bench: 85.5%, MMLU-Pro: 82.6%, MathVision: 82.4%. LongCat-Flash-Thinking scores MATH-500: 99.2%, ZebraLogic: 95.5%, AIME 2024: 93.3%, AIME 2025: 90.6%, MMLU-Redux: 89.3%.

Is Gemma 4 26B-A4B cheaper than LongCat-Flash-Thinking?

Gemma 4 26B-A4B is 4.3x cheaper for input tokens. Gemma 4 26B-A4B costs $0.07/M input and $0.34/M output via deepinfra. LongCat-Flash-Thinking costs $0.30/M input and $1.20/M output via meituan.

What are the context window sizes for Gemma 4 26B-A4B and LongCat-Flash-Thinking?

Gemma 4 26B-A4B supports 262K tokens and LongCat-Flash-Thinking supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 4 26B-A4B and LongCat-Flash-Thinking?

Key differences include LLM Stats Score (29.6 vs 28.6), context window (262K vs 128K), input pricing ($0.07 vs $0.30/M), multimodal support (yes vs no), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 4 26B-A4B and LongCat-Flash-Thinking?

Gemma 4 26B-A4B is developed by Google and LongCat-Flash-Thinking is developed by Meituan.

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