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Beam 1.0 vs LongCat-Flash-Lite

Beam 1.0 leads the LLM Stats Score 44.6 to 18.1. LongCat-Flash-Lite is 3.4x cheaper per token.

Reflection AI · Meituan · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to 18.1, ranking #46 overall.

In the 3 individual benchmarks reported for both models, Beam 1.0 wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, LongCat-Flash-Lite is roughly 3.4x 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 3 of 3 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-Lite

  • cost matters — it's about 3.4x cheaper per token

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
LongCat-Flash-Lite
Meituan
Core performance indexes
LLM Stats Score
44.6
#46
18.1
#236
Reasoning
45.5
#37
18.4
#229
Coding
33.7
#39
6.6
#210
Agents
28.8
#53
3.8
#182
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.40 / M
$0.10 / M
Output price
$1.20 / M
$0.40 / M
Context window
1,048,576
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Beam 1.0
LongCat-Flash-Lite
Math
35.1#45
17.2#206
Tool use
26.4#32
8.9#153
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 13 for LongCat-Flash-Lite

3 shared

Beam 1.0 outperforms in 3 benchmarks (GPQA, SWE-bench Multilingual, SWE-Bench Verified), while LongCat-Flash-Lite 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-Lite costs less

For input processing, Beam 1.0 ($0.40/1M tokens) is 4.0x more expensive than LongCat-Flash-Lite ($0.10/1M tokens).

For output processing, Beam 1.0 ($1.20/1M tokens) is 3.0x more expensive than LongCat-Flash-Lite ($0.40/1M tokens).

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

* 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-Lite
Input tokens$0.10
Output tokens$0.40
Best providerMeituan
Notice missing or incorrect data?

Model Size

Parameter count comparison

432.8B diff

Beam 1.0 has 432.8B more parameters than LongCat-Flash-Lite, making it 631.8% larger.

Reflection AI
Beam 1.0
501.3Bparameters
Meituan
LongCat-Flash-Lite
68.5Bparameters
501.3B
Beam 1.0
68.5B
LongCat-Flash-Lite

Context Window

Maximum input and output token capacity

Beam 1.0 accepts 1,048,576 input tokens compared to LongCat-Flash-Lite's 256,000 tokens. Beam 1.0 can generate longer responses up to 131,072 tokens, while LongCat-Flash-Lite is limited to 128,000 tokens.

Reflection AI
Beam 1.0
Input1,048,576 tokens
Output131,072 tokens
Meituan
LongCat-Flash-Lite
Input256,000 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-Lite 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-Lite

MIT

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while LongCat-Flash-Lite was released on 2026-02-05.

Beam 1.0 is 8 months newer than LongCat-Flash-Lite.

Beam 1.0

Oct 16, 2026

3 days ago

8mo newer
LongCat-Flash-Lite

Feb 5, 2026

8 months ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while LongCat-Flash-Lite'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-Lite's cutoff date.

Beam 1.0

Jun 2026

LongCat-Flash-Lite

—

Provider Availability

Beam 1.0 is available from Together, Reflection AI. LongCat-Flash-Lite 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-Lite

meituan logo
Meituan
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* 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-Lite side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
LongCat-Flash-Lite
Open in Playground

FAQ

Common questions about Beam 1.0 vs LongCat-Flash-Lite.

Which is better, Beam 1.0 or LongCat-Flash-Lite?

Beam 1.0 leads the LLM Stats Score 44.6 to 18.1. Beam 1.0 is made by Reflection AI and LongCat-Flash-Lite 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-Lite 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-Lite scores MATH-500: 96.8%, MMLU: 85.5%, CMMLU: 82.5%, MMLU-Pro: 78.3%, Tau2 Retail: 73.1%.

Is Beam 1.0 cheaper than LongCat-Flash-Lite?

LongCat-Flash-Lite is 4.0x cheaper for input tokens. Beam 1.0 costs $0.40/M input and $1.20/M output via together. LongCat-Flash-Lite costs $0.10/M input and $0.40/M output via meituan.

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

Beam 1.0 supports 1.0M tokens and LongCat-Flash-Lite supports 256K 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-Lite?

Key differences include LLM Stats Score (44.6 vs 18.1), context window (1.0M vs 256K), input pricing ($0.40 vs $0.10/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-Lite?

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

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