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Gemma 4 31B vs LongCat-Flash-Thinking-2601

Gemma 4 31B and LongCat-Flash-Thinking-2601 are closely matched at 33.0 and 35.4 on the LLM Stats Score. Gemma 4 31B is 3.4x cheaper per token.

Google · Meituan · Updated for 2026

Which is better?

Gemma 4 31B and LongCat-Flash-Thinking-2601 are closely matched on the overall LLM Stats Score at 33.0 and 35.4.

In the 2 individual benchmarks reported for both models, Gemma 4 31B wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Gemma 4 31B is roughly 3.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemma 4 31B 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 31B

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • cost matters — it's about 3.4x 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-2601

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

At a glance

The differences that matter most.

Gemma 4 31B
Google
LongCat-Flash-Thinking-2601
Meituan
Core performance indexes
LLM Stats Score
33.0
#115
35.4
#99
Reasoning
33.5
#107
35.5
#91
Agents
13.4
#106
9.6
#136
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.09 / 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 31B
LongCat-Flash-Thinking-2601
Math
29.4#88
30.5#78
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Gemma 4 31B · 11 for LongCat-Flash-Thinking-2601

2 shared

Gemma 4 31B outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while LongCat-Flash-Thinking-2601 is better at 0 benchmarks.

Gemma 4 31B significantly outperforms across most benchmarks.

Fri Oct 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemma 4 31B costs less

For input processing, Gemma 4 31B ($0.09/1M tokens) is 3.3x cheaper than LongCat-Flash-Thinking-2601 ($0.30/1M tokens).

For output processing, Gemma 4 31B ($0.34/1M tokens) is 3.5x cheaper than LongCat-Flash-Thinking-2601 ($1.20/1M tokens).

In conclusion, LongCat-Flash-Thinking-2601 is more expensive than Gemma 4 31B.*

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

Lowest available price from all providers
Fri Oct 09 2026 • llm-stats.com
Google
Gemma 4 31B
Input tokens$0.09
Output tokens$0.34
Best providerDeepinfra
Meituan
LongCat-Flash-Thinking-2601
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?

Model Size

Parameter count comparison

529.3B diff

LongCat-Flash-Thinking-2601 has 529.3B more parameters than Gemma 4 31B, making it 1724.1% larger.

Google
Gemma 4 31B
30.7Bparameters
Meituan
LongCat-Flash-Thinking-2601
560.0Bparameters
30.7B
Gemma 4 31B
560.0B
LongCat-Flash-Thinking-2601

Context Window

Maximum input and output token capacity

Gemma 4 31B accepts 262,144 input tokens compared to LongCat-Flash-Thinking-2601's 128,000 tokens. Gemma 4 31B can generate longer responses up to 262,144 tokens, while LongCat-Flash-Thinking-2601 is limited to 128,000 tokens.

Google
Gemma 4 31B
Input262,144 tokens
Output262,144 tokens
Meituan
LongCat-Flash-Thinking-2601
Input128,000 tokens
Output128,000 tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 4 31B supports multimodal inputs, whereas LongCat-Flash-Thinking-2601 does not.

Gemma 4 31B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 4 31B

Text
Images
Audio
Video

LongCat-Flash-Thinking-2601

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 4 31B is licensed under Apache 2.0, while LongCat-Flash-Thinking-2601 uses MIT.

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

Gemma 4 31B

Apache 2.0

Open weights

LongCat-Flash-Thinking-2601

MIT

Open weights

Release Timeline

When each model was launched

Gemma 4 31B was released on 2026-04-02, while LongCat-Flash-Thinking-2601 was released on 2026-01-14.

Gemma 4 31B is 3 months newer than LongCat-Flash-Thinking-2601.

Gemma 4 31B

Apr 2, 2026

6 months ago

2mo newer
LongCat-Flash-Thinking-2601

Jan 14, 2026

8 months ago

Knowledge Cutoff

When training data ends

Gemma 4 31B has a documented knowledge cutoff of 2025-01-01, while LongCat-Flash-Thinking-2601's cutoff date is not specified.

We can confirm Gemma 4 31B's training data extends to 2025-01-01, but cannot make a direct comparison without LongCat-Flash-Thinking-2601's cutoff date.

Gemma 4 31B

Jan 2025

LongCat-Flash-Thinking-2601

—

Provider Availability

Gemma 4 31B is available from DeepInfra, FriendliAI, Novita, Together. LongCat-Flash-Thinking-2601 is available from Meituan.

Gemma 4 31B

deepinfra logo
Deepinfra
Input Price:Input: $0.09/1MOutput Price:Output: $0.34/1M
friendli logo
FriendliAI
Input Price:Input: $0.14/1MOutput Price:Output: $0.40/1M
novita logo
Novita
Input Price:Input: $0.14/1MOutput Price:Output: $0.40/1M
together logo
Together
Input Price:Input: $0.39/1MOutput Price:Output: $0.97/1M

LongCat-Flash-Thinking-2601

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 Gemma 4 31B and LongCat-Flash-Thinking-2601 side-by-side, then vote on the output you prefer.

Gemma 4 31B
✓ Preferred
LongCat-Flash-Thinking-2601
Open in Playground

FAQ

Common questions about Gemma 4 31B vs LongCat-Flash-Thinking-2601.

Which is better, Gemma 4 31B or LongCat-Flash-Thinking-2601?

Gemma 4 31B and LongCat-Flash-Thinking-2601 are closely matched on the LLM Stats Score at 33.0 and 35.4. Gemma 4 31B is made by Google and LongCat-Flash-Thinking-2601 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 31B compare to LongCat-Flash-Thinking-2601 in benchmarks?

Gemma 4 31B scores AIME 2026: 89.2%, MMMLU: 88.4%, t2-bench: 86.4%, MathVision: 85.6%, MMLU-Pro: 85.2%. LongCat-Flash-Thinking-2601 scores AIME 2025: 99.6%, Tau2 Telecom: 99.3%, Tau2 Retail: 88.6%, LiveCodeBench: 82.8%, GPQA: 80.5%.

Is Gemma 4 31B cheaper than LongCat-Flash-Thinking-2601?

Gemma 4 31B is 3.3x cheaper for input tokens. Gemma 4 31B costs $0.09/M input and $0.34/M output via deepinfra. LongCat-Flash-Thinking-2601 costs $0.30/M input and $1.20/M output via meituan.

What are the context window sizes for Gemma 4 31B and LongCat-Flash-Thinking-2601?

Gemma 4 31B supports 262K tokens and LongCat-Flash-Thinking-2601 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 31B and LongCat-Flash-Thinking-2601?

Key differences include LLM Stats Score (33.0 vs 35.4), context window (262K vs 128K), input pricing ($0.09 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 31B and LongCat-Flash-Thinking-2601?

Gemma 4 31B is developed by Google and LongCat-Flash-Thinking-2601 is developed by Meituan.

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