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Beam 1.0 vs Kimi K2 Base

Beam 1.0 leads the LLM Stats Score 44.6 to 13.0.

Reflection AI · Moonshot AI · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to 13.0, ranking #46 overall.

In the 1 individual benchmarks reported for both models, Beam 1.0 wins 1; this is a narrower head-to-head signal than the composite indexes.

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 — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Kimi K2 Base

  • you are already invested in the Moonshot AI ecosystem

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
Kimi K2 Base
Moonshot AI
Core performance indexes
LLM Stats Score
44.6
#46
13.0
#270
Reasoning
45.5
#37
12.1
#268
Coding
33.7
#39
10.5
#186
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.40 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Beam 1.0
Kimi K2 Base
Math
35.1#45
14.2#231
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 13 for Kimi K2 Base

1 shared

Beam 1.0 outperforms in 1 benchmarks (GPQA), while Kimi K2 Base is better at 0 benchmarks.

Beam 1.0 significantly outperforms across most benchmarks.

Thu Oct 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

498.7B diff

Kimi K2 Base has 498.7B more parameters than Beam 1.0, making it 99.5% larger.

Reflection AI
Beam 1.0
501.3Bparameters
Moonshot AI
Kimi K2 Base
1.0Tparameters
501.3B
Beam 1.0
1000.0B
Kimi K2 Base

Context Window

Maximum input and output token capacity

Only Beam 1.0 specifies input context (1,048,576 tokens). Only Beam 1.0 specifies output context (131,072 tokens).

Reflection AI
Beam 1.0
Input1,048,576 tokens
Output131,072 tokens
Moonshot AI
Kimi K2 Base
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, while Kimi K2 Base 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

Kimi K2 Base

MIT

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while Kimi K2 Base was released on 2025-07-11.

Beam 1.0 is 15 months newer than Kimi K2 Base.

Beam 1.0

Oct 16, 2026

4 days ago

1.3yr newer
Kimi K2 Base

Jul 11, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Kimi K2 Base'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 Kimi K2 Base's cutoff date.

Beam 1.0

Jun 2026

Kimi K2 Base

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and Kimi K2 Base side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
Kimi K2 Base
Open in Playground

FAQ

Common questions about Beam 1.0 vs Kimi K2 Base.

Which is better, Beam 1.0 or Kimi K2 Base?

Beam 1.0 leads the LLM Stats Score 44.6 to 13.0. Beam 1.0 is made by Reflection AI and Kimi K2 Base is made by Moonshot AI. 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 Kimi K2 Base 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%. Kimi K2 Base scores C-Eval: 92.5%, GSM8k: 92.1%, MMLU-redux-2.0: 90.2%, MMLU: 87.8%, TriviaQA: 85.1%.

What are the context window sizes for Beam 1.0 and Kimi K2 Base?

Beam 1.0 supports 1.0M tokens and Kimi K2 Base supports an unknown number of 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 Kimi K2 Base?

Key differences include LLM Stats Score (44.6 vs 13.0), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and Kimi K2 Base?

Beam 1.0 is developed by Reflection AI and Kimi K2 Base is developed by Moonshot AI.

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