The AI arena is free today

Open Superagent

Gemini 4 Carbon vs LongCat-Flash-Thinking-2601

Gemini 4 Carbon leads the LLM Stats Score 59.0 to 34.6.

Google · Meituan · Updated for 2026

Which is better?

Gemini 4 Carbon leads the overall LLM Stats Score 59.0 to 34.6, ranking #2 overall.

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

Choose Gemini 4 Carbon

  • overall performance matters — it scores 59.0 and ranks #2 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose LongCat-Flash-Thinking-2601

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 4 Carbon
Google
LongCat-Flash-Thinking-2601
Meituan
Core performance indexes
LLM Stats Score
59.0
#2
34.6
#114
Reasoning
54.9
#5
34.8
#106
Coding
48.1
#3
18.8
#134
Agents
46.0
#2
8.4
#159
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.30 / M
Output price
— / M
$1.20 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 4 Carbon
LongCat-Flash-Thinking-2601
Tool use
35.8#3
23.5#50
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemini 4 Carbon · 11 for LongCat-Flash-Thinking-2601

No common benchmarks found

Gemini 4 Carbon and LongCat-Flash-Thinking-2601don'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

Context Window

Maximum input and output token capacity

Only LongCat-Flash-Thinking-2601 specifies input context (128,000 tokens). Only LongCat-Flash-Thinking-2601 specifies output context (128,000 tokens).

Google
Gemini 4 Carbon
Input- tokens
Output- tokens
Meituan
LongCat-Flash-Thinking-2601
Input128,000 tokens
Output128,000 tokens
Fri Oct 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Carbon supports multimodal inputs, whereas LongCat-Flash-Thinking-2601 does not.

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

Gemini 4 Carbon

Text
Images
Audio
Video

LongCat-Flash-Thinking-2601

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Carbon is licensed under a proprietary license, while LongCat-Flash-Thinking-2601 uses MIT.

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

Gemini 4 Carbon

Proprietary

Closed source

LongCat-Flash-Thinking-2601

MIT

Open weights

Release Timeline

When each model was launched

Gemini 4 Carbon was released on 2026-10-28, while LongCat-Flash-Thinking-2601 was released on 2026-01-14.

Gemini 4 Carbon is 10 months newer than LongCat-Flash-Thinking-2601.

Gemini 4 Carbon

Oct 28, 2026

-3 days ago

9mo newer
LongCat-Flash-Thinking-2601

Jan 14, 2026

9 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 4 Carbon and LongCat-Flash-Thinking-2601 side-by-side, then vote on the output you prefer.

Gemini 4 Carbon
✓ Preferred
LongCat-Flash-Thinking-2601
Open in Playground

FAQ

Common questions about Gemini 4 Carbon vs LongCat-Flash-Thinking-2601.

Which is better, Gemini 4 Carbon or LongCat-Flash-Thinking-2601?

Gemini 4 Carbon leads the LLM Stats Score 59.0 to 34.6. Gemini 4 Carbon 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 Gemini 4 Carbon compare to LongCat-Flash-Thinking-2601 in benchmarks?

Gemini 4 Carbon scores Gray Swan IPI Benchmark: 100.0%, Vending-Bench 2: 100.0%, Graphwalks BFS >128k: 96.2%, WebDev Arena: 88.4%, SEC-bench Pro: 88.2%. LongCat-Flash-Thinking-2601 scores AIME 2025: 99.6%, Tau2 Telecom: 99.3%, Tau2 Retail: 88.6%, LiveCodeBench: 82.8%, GPQA: 80.5%.

What are the context window sizes for Gemini 4 Carbon and LongCat-Flash-Thinking-2601?

Gemini 4 Carbon supports an unknown number of 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 Gemini 4 Carbon and LongCat-Flash-Thinking-2601?

Key differences include LLM Stats Score (59.0 vs 34.6), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Carbon and LongCat-Flash-Thinking-2601?

Gemini 4 Carbon is developed by Google and LongCat-Flash-Thinking-2601 is developed by Meituan.

Related comparisons