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Beam 1.0 vs LongCat-Flash-Thinking-2601

Beam 1.0 leads the LLM Stats Score 44.6 to 34.9. LongCat-Flash-Thinking-2601 is 1.1x cheaper per token.

Reflection AI · Meituan · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to 34.9, ranking #46 overall.

In the 5 individual benchmarks reported for both models, Beam 1.0 wins 5; this is a narrower head-to-head signal than the composite indexes.

On price, LongCat-Flash-Thinking-2601 is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Beam 1.0 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 Beam 1.0

  • overall performance matters — it scores 44.6 and ranks #46 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose LongCat-Flash-Thinking-2601

  • cost matters — it's about 1.1x cheaper per token

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
LongCat-Flash-Thinking-2601
Meituan
Core performance indexes
LLM Stats Score
44.6
#46
34.9
#109
Reasoning
45.5
#37
35.0
#102
Coding
33.7
#39
18.6
#129
Agents
28.8
#53
9.2
#147
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
Input price
$0.40 / M
$0.30 / M
Output price
$1.20 / M
$1.20 / M
Context window
1,048,576
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Beam 1.0
LongCat-Flash-Thinking-2601
Math
35.1#45
30.2#82
Tool use
26.4#32
23.4#44
Research
19.0#27
12.7#48
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 11 for LongCat-Flash-Thinking-2601

5 shared

Beam 1.0 outperforms in 5 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, LiveCodeBench, SWE-Bench Verified), while LongCat-Flash-Thinking-2601 is better at 0 benchmarks.

Beam 1.0 significantly outperforms across most benchmarks.

Fri Oct 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

LongCat-Flash-Thinking-2601 costs less

For input processing, Beam 1.0 ($0.40/1M tokens) is 1.3x more expensive than LongCat-Flash-Thinking-2601 ($0.30/1M tokens).

For output processing, Beam 1.0 ($1.20/1M tokens) costs the same as LongCat-Flash-Thinking-2601 ($1.20/1M tokens).

In conclusion, Beam 1.0 is more expensive than LongCat-Flash-Thinking-2601.*

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

Lowest available price from all providers
Fri Oct 23 2026 • llm-stats.com
Reflection AI
Beam 1.0
Input tokens$0.40
Output tokens$1.20
Best providerTogether
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

58.7B diff

LongCat-Flash-Thinking-2601 has 58.7B more parameters than Beam 1.0, making it 11.7% larger.

Reflection AI
Beam 1.0
501.3Bparameters
Meituan
LongCat-Flash-Thinking-2601
560.0Bparameters
501.3B
Beam 1.0
560.0B
LongCat-Flash-Thinking-2601

Context Window

Maximum input and output token capacity

Beam 1.0 accepts 1,048,576 input tokens compared to LongCat-Flash-Thinking-2601's 128,000 tokens. Beam 1.0 can generate longer responses up to 131,072 tokens, while LongCat-Flash-Thinking-2601 is limited to 128,000 tokens.

Reflection AI
Beam 1.0
Input1,048,576 tokens
Output131,072 tokens
Meituan
LongCat-Flash-Thinking-2601
Input128,000 tokens
Output128,000 tokens
Fri Oct 23 2026 • llm-stats.com

License

Usage and distribution terms

Beam 1.0 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.

Beam 1.0

Apache 2.0

Open weights

LongCat-Flash-Thinking-2601

MIT

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while LongCat-Flash-Thinking-2601 was released on 2026-01-14.

Beam 1.0 is 9 months newer than LongCat-Flash-Thinking-2601.

Beam 1.0

Oct 16, 2026

6 days ago

9mo newer
LongCat-Flash-Thinking-2601

Jan 14, 2026

9 months ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while LongCat-Flash-Thinking-2601's cutoff date is not specified.

We can confirm Beam 1.0's training data extends to 2026-06-30, but cannot make a direct comparison without LongCat-Flash-Thinking-2601's cutoff date.

Beam 1.0

Jun 2026

LongCat-Flash-Thinking-2601

—

Provider Availability

Beam 1.0 is available from Together, Reflection AI. LongCat-Flash-Thinking-2601 is available from Meituan.

Beam 1.0

together logo
Together
Input Price:Input: $0.40/1MOutput Price:Output: $1.20/1M
reflection logo
Unknown Organization

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 Beam 1.0 and LongCat-Flash-Thinking-2601 side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
LongCat-Flash-Thinking-2601
Open in Playground

FAQ

Common questions about Beam 1.0 vs LongCat-Flash-Thinking-2601.

Which is better, Beam 1.0 or LongCat-Flash-Thinking-2601?

Beam 1.0 leads the LLM Stats Score 44.6 to 34.9. Beam 1.0 is made by Reflection AI 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 Beam 1.0 compare to LongCat-Flash-Thinking-2601 in benchmarks?

Beam 1.0 scores AIME 2026: 97.7%, GPQA: 90.6%, LiveCodeBench: 88.3%, SWE-Bench Verified: 81.6%, MCP Atlas: 80.8%. LongCat-Flash-Thinking-2601 scores AIME 2025: 99.6%, Tau2 Telecom: 99.3%, Tau2 Retail: 88.6%, LiveCodeBench: 82.8%, GPQA: 80.5%.

Is Beam 1.0 cheaper than LongCat-Flash-Thinking-2601?

LongCat-Flash-Thinking-2601 is 1.3x cheaper for input tokens. Beam 1.0 costs $0.40/M input and $1.20/M output via together. LongCat-Flash-Thinking-2601 costs $0.30/M input and $1.20/M output via meituan.

What are the context window sizes for Beam 1.0 and LongCat-Flash-Thinking-2601?

Beam 1.0 supports 1.0M 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 Beam 1.0 and LongCat-Flash-Thinking-2601?

Key differences include LLM Stats Score (44.6 vs 34.9), context window (1.0M vs 128K), input pricing ($0.40 vs $0.30/M), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and LongCat-Flash-Thinking-2601?

Beam 1.0 is developed by Reflection AI and LongCat-Flash-Thinking-2601 is developed by Meituan.

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