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Beam 1.0 vs Mistral Large 3 (675B Instruct 2512 NVFP4)

Beam 1.0 leads the LLM Stats Score 44.6 to 8.4.

Reflection AI · Mistral AI · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to 8.4, 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.

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 want the most recent training data — it shipped Oct 2026

Choose Mistral Large 3 (675B Instruct 2512 NVFP4)

  • you are already invested in the Mistral AI ecosystem

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
Mistral AI
Core performance indexes
LLM Stats Score
44.6
#46
8.4
#300
Reasoning
45.5
#37
8.6
#292
Coding
33.7
#39
1.3
#256
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
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
Mistral Large 3 (675B Instruct 2512 NVFP4)
Math
35.1#45
18.8#187
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 5 for Mistral Large 3 (675B Instruct 2512 NVFP4)

2 shared

Beam 1.0 outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Mistral Large 3 (675B Instruct 2512 NVFP4) 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

Model Size

Parameter count comparison

173.7B diff

Mistral Large 3 (675B Instruct 2512 NVFP4) has 173.7B more parameters than Beam 1.0, making it 34.6% larger.

Reflection AI
Beam 1.0
501.3Bparameters
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
675.0Bparameters
501.3B
Beam 1.0
675.0B
Mistral Large 3 (675B Instruct 2512 NVFP4)

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
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
Input- tokens
Output- tokens
Sun Oct 25 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 3 (675B Instruct 2512 NVFP4) supports multimodal inputs, whereas Beam 1.0 does not.

Mistral Large 3 (675B Instruct 2512 NVFP4) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Beam 1.0

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 NVFP4)

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

Mistral Large 3 (675B Instruct 2512 NVFP4)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while Mistral Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04.

Beam 1.0 is 11 months newer than Mistral Large 3 (675B Instruct 2512 NVFP4).

Beam 1.0

Oct 16, 2026

1 weeks ago

10mo newer
Mistral Large 3 (675B Instruct 2512 NVFP4)

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 Mistral Large 3 (675B Instruct 2512 NVFP4)'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 Mistral Large 3 (675B Instruct 2512 NVFP4)'s cutoff date.

Beam 1.0

Jun 2026

Mistral Large 3 (675B Instruct 2512 NVFP4)

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and Mistral Large 3 (675B Instruct 2512 NVFP4) side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
Mistral Large 3 (675B Instruct 2512 NVFP4)
Open in Playground

FAQ

Common questions about Beam 1.0 vs Mistral Large 3 (675B Instruct 2512 NVFP4).

Which is better, Beam 1.0 or Mistral Large 3 (675B Instruct 2512 NVFP4)?

Beam 1.0 leads the LLM Stats Score 44.6 to 8.4. Beam 1.0 is made by Reflection AI and Mistral Large 3 (675B Instruct 2512 NVFP4) 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 Mistral Large 3 (675B Instruct 2512 NVFP4) 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%. Mistral Large 3 (675B Instruct 2512 NVFP4) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

What are the context window sizes for Beam 1.0 and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Beam 1.0 supports 1.0M tokens and Mistral Large 3 (675B Instruct 2512 NVFP4) 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 Mistral Large 3 (675B Instruct 2512 NVFP4)?

Key differences include LLM Stats Score (44.6 vs 8.4), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Beam 1.0 is developed by Reflection AI and Mistral Large 3 (675B Instruct 2512 NVFP4) is developed by Mistral AI.

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