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Beam 1.0 vs Mistral Small 3.1 24B Base

Beam 1.0 leads the LLM Stats Score 44.6 to -0.1. Mistral Small 3.1 24B Base 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 -0.1, 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.

On price, Mistral Small 3.1 24B Base 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 — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 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 Mistral Small 3.1 24B Base

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

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
Mistral Small 3.1 24B Base
Mistral AI
Core performance indexes
LLM Stats Score
44.6
#46
-0.1
#351
Reasoning
45.5
#37
0.1
#342
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.40 / M
$0.10 / M
Output price
$1.20 / M
$0.30 / M
Context window
1,048,576
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Beam 1.0
Mistral Small 3.1 24B Base
Math
35.1#45
4.7#292
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 5 for Mistral Small 3.1 24B Base

1 shared

Beam 1.0 outperforms in 1 benchmarks (GPQA), while Mistral Small 3.1 24B Base 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

Mistral Small 3.1 24B Base costs less

For input processing, Beam 1.0 ($0.40/1M tokens) is 4.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).

For output processing, Beam 1.0 ($1.20/1M tokens) is 4.0x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).

In conclusion, Beam 1.0 is more expensive than Mistral Small 3.1 24B Base.*

* 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
Mistral AI
Mistral Small 3.1 24B Base
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

477.3B diff

Beam 1.0 has 477.3B more parameters than Mistral Small 3.1 24B Base, making it 1988.8% larger.

Reflection AI
Beam 1.0
501.3Bparameters
Mistral AI
Mistral Small 3.1 24B Base
24.0Bparameters
501.3B
Beam 1.0
24.0B
Mistral Small 3.1 24B Base

Context Window

Maximum input and output token capacity

Beam 1.0 accepts 1,048,576 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Beam 1.0 can generate longer responses up to 131,072 tokens, while Mistral Small 3.1 24B Base is limited to 128,000 tokens.

Reflection AI
Beam 1.0
Input1,048,576 tokens
Output131,072 tokens
Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Small 3.1 24B Base supports multimodal inputs, whereas Beam 1.0 does not.

Mistral Small 3.1 24B Base 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 Small 3.1 24B Base

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 Small 3.1 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while Mistral Small 3.1 24B Base was released on 2025-03-17.

Beam 1.0 is 19 months newer than Mistral Small 3.1 24B Base.

Beam 1.0

Oct 16, 2026

3 days ago

1.6yr newer
Mistral Small 3.1 24B Base

Mar 17, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Mistral Small 3.1 24B 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 Mistral Small 3.1 24B Base's cutoff date.

Beam 1.0

Jun 2026

Mistral Small 3.1 24B Base

—

Provider Availability

Beam 1.0 is available from Together, Reflection AI. Mistral Small 3.1 24B Base 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

Mistral Small 3.1 24B Base

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* 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 Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
Mistral Small 3.1 24B Base
Open in Playground

FAQ

Common questions about Beam 1.0 vs Mistral Small 3.1 24B Base.

Which is better, Beam 1.0 or Mistral Small 3.1 24B Base?

Beam 1.0 leads the LLM Stats Score 44.6 to -0.1. Beam 1.0 is made by Reflection AI and Mistral Small 3.1 24B Base 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 Small 3.1 24B 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%. Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%.

Is Beam 1.0 cheaper than Mistral Small 3.1 24B Base?

Mistral Small 3.1 24B Base is 4.0x cheaper for input tokens. Beam 1.0 costs $0.40/M input and $1.20/M output via together. Mistral Small 3.1 24B Base costs $0.10/M input and $0.30/M output via mistral.

What are the context window sizes for Beam 1.0 and Mistral Small 3.1 24B Base?

Beam 1.0 supports 1.0M tokens and Mistral Small 3.1 24B Base supports 128K 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 Small 3.1 24B Base?

Key differences include LLM Stats Score (44.6 vs -0.1), context window (1.0M vs 128K), input pricing ($0.40 vs $0.10/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and Mistral Small 3.1 24B Base?

Beam 1.0 is developed by Reflection AI and Mistral Small 3.1 24B Base is developed by Mistral AI.

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