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Beam 1.0 vs MiniMax M1 80K

Beam 1.0 leads the LLM Stats Score 44.6 to 20.9. Beam 1.0 is 1.6x cheaper per token.

Reflection AI · MiniMax · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to 20.9, 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, Beam 1.0 is roughly 1.6x 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
  • cost matters — it's about 1.6x cheaper per token
  • 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 MiniMax M1 80K

  • you want predictable pricing at $0.55/M input and $2.20/M output

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
MiniMax M1 80K
MiniMax
Core performance indexes
LLM Stats Score
44.6
#46
20.9
#214
Reasoning
45.5
#37
21.1
#202
Coding
33.7
#39
9.1
#196
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
Input price
$0.40 / M
$0.55 / M
Output price
$1.20 / M
$2.20 / M
Context window
1,048,576
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Beam 1.0
MiniMax M1 80K
Math
35.1#45
19.4#178
Tool use
26.4#32
14.4#113
Long context
29.5#5
20.1#30
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 16 for MiniMax M1 80K

5 shared

Beam 1.0 outperforms in 5 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench, LongBench v2, SWE-Bench Verified), while MiniMax M1 80K 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

Beam 1.0 costs less

For input processing, Beam 1.0 ($0.40/1M tokens) is 1.4x cheaper than MiniMax M1 80K ($0.55/1M tokens).

For output processing, Beam 1.0 ($1.20/1M tokens) is 1.8x cheaper than MiniMax M1 80K ($2.20/1M tokens).

In conclusion, MiniMax M1 80K is more expensive than Beam 1.0.*

* 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
MiniMax
MiniMax M1 80K
Input tokens$0.55
Output tokens$2.20
Best providerNovita
Notice missing or incorrect data?

Model Size

Parameter count comparison

45.3B diff

Beam 1.0 has 45.3B more parameters than MiniMax M1 80K, making it 9.9% larger.

Reflection AI
Beam 1.0
501.3Bparameters
MiniMax
MiniMax M1 80K
456.0Bparameters
501.3B
Beam 1.0
456.0B
MiniMax M1 80K

Context Window

Maximum input and output token capacity

Beam 1.0 accepts 1,048,576 input tokens compared to MiniMax M1 80K's 1,000,000 tokens. Beam 1.0 can generate longer responses up to 131,072 tokens, while MiniMax M1 80K is limited to 40,000 tokens.

Reflection AI
Beam 1.0
Input1,048,576 tokens
Output131,072 tokens
MiniMax
MiniMax M1 80K
Input1,000,000 tokens
Output40,000 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 80K 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 80K

MIT

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while MiniMax M1 80K was released on 2025-06-16.

Beam 1.0 is 16 months newer than MiniMax M1 80K.

Beam 1.0

Oct 16, 2026

6 days ago

1.3yr newer
MiniMax M1 80K

Jun 16, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while MiniMax M1 80K'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 80K's cutoff date.

Beam 1.0

Jun 2026

MiniMax M1 80K

—

Provider Availability

Beam 1.0 is available from Together, Reflection AI. MiniMax M1 80K is available from Novita.

Beam 1.0

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

MiniMax M1 80K

novita logo
Novita
Input Price:Input: $0.55/1MOutput Price:Output: $2.20/1M
* 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 MiniMax M1 80K side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
MiniMax M1 80K
Open in Playground

FAQ

Common questions about Beam 1.0 vs MiniMax M1 80K.

Which is better, Beam 1.0 or MiniMax M1 80K?

Beam 1.0 leads the LLM Stats Score 44.6 to 20.9. Beam 1.0 is made by Reflection AI and MiniMax M1 80K 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 80K 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 80K scores MATH-500: 96.8%, ZebraLogic: 86.8%, AIME 2024: 86.0%, MMLU-Pro: 81.1%, AIME 2025: 76.9%.

Is Beam 1.0 cheaper than MiniMax M1 80K?

Beam 1.0 is 1.4x cheaper for input tokens. Beam 1.0 costs $0.40/M input and $1.20/M output via together. MiniMax M1 80K costs $0.55/M input and $2.20/M output via novita.

What are the context window sizes for Beam 1.0 and MiniMax M1 80K?

Beam 1.0 supports 1.0M tokens and MiniMax M1 80K supports 1.0M 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 80K?

Key differences include LLM Stats Score (44.6 vs 20.9), context window (1.0M vs 1.0M), input pricing ($0.40 vs $0.55/M), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and MiniMax M1 80K?

Beam 1.0 is developed by Reflection AI and MiniMax M1 80K is developed by MiniMax.

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