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Beam 1.0 vs MiniMax M1 40K

Beam 1.0 leads the LLM Stats Score 44.6 to 20.0.

Reflection AI · MiniMax · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to 20.0, 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.

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 want the most recent training data — it shipped Oct 2026

Choose MiniMax M1 40K

  • you are already invested in the MiniMax ecosystem

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
MiniMax M1 40K
MiniMax
Core performance indexes
LLM Stats Score
44.6
#46
20.0
#220
Reasoning
45.5
#37
20.2
#210
Coding
33.7
#39
7.7
#205
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
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

3 shared
Index
Beam 1.0
MiniMax M1 40K
Math
35.1#45
17.9#200
Tool use
26.4#32
12.7#120
Long context
29.5#5
22.5#19
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 16 for MiniMax M1 40K

5 shared

Beam 1.0 outperforms in 5 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench, LongBench v2, SWE-Bench Verified), while MiniMax M1 40K 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

Model Size

Parameter count comparison

45.3B diff

Beam 1.0 has 45.3B more parameters than MiniMax M1 40K, making it 9.9% larger.

Reflection AI
Beam 1.0
501.3Bparameters
MiniMax
MiniMax M1 40K
456.0Bparameters
501.3B
Beam 1.0
456.0B
MiniMax M1 40K

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
MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, while MiniMax M1 40K 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

MiniMax M1 40K

MIT

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while MiniMax M1 40K was released on 2025-06-16.

Beam 1.0 is 16 months newer than MiniMax M1 40K.

Beam 1.0

Oct 16, 2026

3 days ago

1.3yr newer
MiniMax M1 40K

Jun 16, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while MiniMax M1 40K'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 MiniMax M1 40K's cutoff date.

Beam 1.0

Jun 2026

MiniMax M1 40K

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and MiniMax M1 40K side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
MiniMax M1 40K
Open in Playground

FAQ

Common questions about Beam 1.0 vs MiniMax M1 40K.

Which is better, Beam 1.0 or MiniMax M1 40K?

Beam 1.0 leads the LLM Stats Score 44.6 to 20.0. Beam 1.0 is made by Reflection AI and MiniMax M1 40K is made by MiniMax. 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 MiniMax M1 40K 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%. MiniMax M1 40K scores MATH-500: 96.0%, AIME 2024: 83.3%, MMLU-Pro: 80.6%, ZebraLogic: 80.1%, OpenAI-MRCR: 2 needle 128k: 76.1%.

What are the context window sizes for Beam 1.0 and MiniMax M1 40K?

Beam 1.0 supports 1.0M tokens and MiniMax M1 40K 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 MiniMax M1 40K?

Key differences include LLM Stats Score (44.6 vs 20.0), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and MiniMax M1 40K?

Beam 1.0 is developed by Reflection AI and MiniMax M1 40K is developed by MiniMax.

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