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Beam 1.0 vs Ministral 3 (8B Reasoning 2512)

Beam 1.0 leads the LLM Stats Score 44.6 to 16.0. Ministral 3 (8B Reasoning 2512) is 4.0x cheaper per token.

Reflection AI · Mistral AI · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to 16.0, ranking #46 overall.

In the 2 individual benchmarks reported for both models, Beam 1.0 wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Ministral 3 (8B Reasoning 2512) is roughly 4.0x 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 2 of 2 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 Ministral 3 (8B Reasoning 2512)

  • cost matters — it's about 4.0x cheaper per token

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
Ministral 3 (8B Reasoning 2512)
Mistral AI
Core performance indexes
LLM Stats Score
44.6
#46
16.0
#248
Reasoning
45.5
#37
16.1
#240
Coding
33.7
#39
8.8
#199
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.40 / M
$0.15 / M
Output price
$1.20 / M
$0.15 / M
Context window
1,048,576
262,100

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Beam 1.0
Ministral 3 (8B Reasoning 2512)
Math
35.1#45
17.1#209
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 4 for Ministral 3 (8B Reasoning 2512)

2 shared

Beam 1.0 outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Ministral 3 (8B Reasoning 2512) is better at 0 benchmarks.

Beam 1.0 significantly outperforms across most benchmarks.

Sun Oct 25 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Ministral 3 (8B Reasoning 2512) costs less

For input processing, Beam 1.0 ($0.40/1M tokens) is 2.7x more expensive than Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens).

For output processing, Beam 1.0 ($1.20/1M tokens) is 8.0x more expensive than Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens).

In conclusion, Beam 1.0 is more expensive than Ministral 3 (8B Reasoning 2512).*

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

Lowest available price from all providers
Sun Oct 25 2026 • llm-stats.com
Reflection AI
Beam 1.0
Input tokens$0.40
Output tokens$1.20
Best providerTogether
Mistral AI
Ministral 3 (8B Reasoning 2512)
Input tokens$0.15
Output tokens$0.15
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

493.3B diff

Beam 1.0 has 493.3B more parameters than Ministral 3 (8B Reasoning 2512), making it 6166.3% larger.

Reflection AI
Beam 1.0
501.3Bparameters
Mistral AI
Ministral 3 (8B Reasoning 2512)
8.0Bparameters
501.3B
Beam 1.0
8.0B
Ministral 3 (8B Reasoning 2512)

Context Window

Maximum input and output token capacity

Beam 1.0 accepts 1,048,576 input tokens compared to Ministral 3 (8B Reasoning 2512)'s 262,100 tokens. Ministral 3 (8B Reasoning 2512) can generate longer responses up to 262,100 tokens, while Beam 1.0 is limited to 131,072 tokens.

Reflection AI
Beam 1.0
Input1,048,576 tokens
Output131,072 tokens
Mistral AI
Ministral 3 (8B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Sun Oct 25 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Ministral 3 (8B Reasoning 2512) supports multimodal inputs, whereas Beam 1.0 does not.

Ministral 3 (8B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Beam 1.0

Text
Images
Audio
Video

Ministral 3 (8B Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Beam 1.0

Apache 2.0

Open weights

Ministral 3 (8B Reasoning 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while Ministral 3 (8B Reasoning 2512) was released on 2025-12-04.

Beam 1.0 is 11 months newer than Ministral 3 (8B Reasoning 2512).

Beam 1.0

Oct 16, 2026

1 weeks ago

10mo newer
Ministral 3 (8B Reasoning 2512)

Dec 4, 2025

10 months ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Ministral 3 (8B Reasoning 2512)'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 Ministral 3 (8B Reasoning 2512)'s cutoff date.

Beam 1.0

Jun 2026

Ministral 3 (8B Reasoning 2512)

—

Provider Availability

Beam 1.0 is available from Together, Reflection AI. Ministral 3 (8B Reasoning 2512) is available from Mistral AI.

Beam 1.0

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

Ministral 3 (8B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
* 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 Ministral 3 (8B Reasoning 2512) side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
Ministral 3 (8B Reasoning 2512)
Open in Playground

FAQ

Common questions about Beam 1.0 vs Ministral 3 (8B Reasoning 2512).

Which is better, Beam 1.0 or Ministral 3 (8B Reasoning 2512)?

Beam 1.0 leads the LLM Stats Score 44.6 to 16.0. Beam 1.0 is made by Reflection AI and Ministral 3 (8B Reasoning 2512) is made by Mistral 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 Ministral 3 (8B Reasoning 2512) 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%. Ministral 3 (8B Reasoning 2512) scores AIME 2024: 86.0%, AIME 2025: 78.7%, GPQA: 66.8%, LiveCodeBench: 61.6%.

Is Beam 1.0 cheaper than Ministral 3 (8B Reasoning 2512)?

Ministral 3 (8B Reasoning 2512) is 2.7x cheaper for input tokens. Beam 1.0 costs $0.40/M input and $1.20/M output via together. Ministral 3 (8B Reasoning 2512) costs $0.15/M input and $0.15/M output via mistral.

What are the context window sizes for Beam 1.0 and Ministral 3 (8B Reasoning 2512)?

Beam 1.0 supports 1.0M tokens and Ministral 3 (8B Reasoning 2512) supports 262K 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 Ministral 3 (8B Reasoning 2512)?

Key differences include LLM Stats Score (44.6 vs 16.0), context window (1.0M vs 262K), input pricing ($0.40 vs $0.15/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and Ministral 3 (8B Reasoning 2512)?

Beam 1.0 is developed by Reflection AI and Ministral 3 (8B Reasoning 2512) is developed by Mistral AI.

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