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Beam 1.0 vs Mistral Large 2

Beam 1.0 leads the LLM Stats Score 44.6 to 6.9. Beam 1.0 is 5.0x 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 6.9, ranking #46 overall.

On price, Beam 1.0 is roughly 5.0x 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
  • cost matters — it's about 5.0x 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 Mistral Large 2

  • you want predictable pricing at $2.00/M input and $6.00/M output

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
Mistral Large 2
Mistral AI
Core performance indexes
LLM Stats Score
44.6
#46
6.9
#314
Reasoning
45.5
#37
6.9
#307
Coding
33.7
#39
12.9
#160
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.40 / M
$2.00 / M
Output price
$1.20 / M
$6.00 / 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 Large 2
Math
35.1#45
11.3#256
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 5 for Mistral Large 2

No common benchmarks found

Beam 1.0 and Mistral Large 2don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

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 5.0x cheaper than Mistral Large 2 ($2.00/1M tokens).

For output processing, Beam 1.0 ($1.20/1M tokens) is 5.0x cheaper than Mistral Large 2 ($6.00/1M tokens).

In conclusion, Mistral Large 2 is more expensive than Beam 1.0.*

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

Lowest available price from all providers
Thu Oct 22 2026 • llm-stats.com
Reflection AI
Beam 1.0
Input tokens$0.40
Output tokens$1.20
Best providerTogether
Mistral AI
Mistral Large 2
Input tokens$2.00
Output tokens$6.00
Best providerGoogle
Notice missing or incorrect data?

Model Size

Parameter count comparison

378.3B diff

Beam 1.0 has 378.3B more parameters than Mistral Large 2, making it 307.6% larger.

Reflection AI
Beam 1.0
501.3Bparameters
Mistral AI
Mistral Large 2
123.0Bparameters
501.3B
Beam 1.0
123.0B
Mistral Large 2

Context Window

Maximum input and output token capacity

Beam 1.0 accepts 1,048,576 input tokens compared to Mistral Large 2's 128,000 tokens. Beam 1.0 can generate longer responses up to 131,072 tokens, while Mistral Large 2 is limited to 128,000 tokens.

Reflection AI
Beam 1.0
Input1,048,576 tokens
Output131,072 tokens
Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Thu Oct 22 2026 • llm-stats.com

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, while Mistral Large 2 uses Mistral Research License.

License differences may affect how you can use these models in commercial or open-source projects.

Beam 1.0

Apache 2.0

Open weights

Mistral Large 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while Mistral Large 2 was released on 2024-07-24.

Beam 1.0 is 27 months newer than Mistral Large 2.

Beam 1.0

Oct 16, 2026

3 days ago

2.2yr newer
Mistral Large 2

Jul 24, 2024

2.2 years ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Mistral Large 2'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 2's cutoff date.

Beam 1.0

Jun 2026

Mistral Large 2

—

Provider Availability

Beam 1.0 is available from Together, Reflection AI. Mistral Large 2 is available from Google, Mistral AI.

Beam 1.0

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

Mistral Large 2

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* 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 Large 2 side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
Mistral Large 2
Open in Playground

FAQ

Common questions about Beam 1.0 vs Mistral Large 2.

Which is better, Beam 1.0 or Mistral Large 2?

Beam 1.0 leads the LLM Stats Score 44.6 to 6.9. Beam 1.0 is made by Reflection AI and Mistral Large 2 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 2 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 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.

Is Beam 1.0 cheaper than Mistral Large 2?

Beam 1.0 is 5.0x cheaper for input tokens. Beam 1.0 costs $0.40/M input and $1.20/M output via together. Mistral Large 2 costs $2.00/M input and $6.00/M output via google.

What are the context window sizes for Beam 1.0 and Mistral Large 2?

Beam 1.0 supports 1.0M tokens and Mistral Large 2 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 Large 2?

Key differences include LLM Stats Score (44.6 vs 6.9), context window (1.0M vs 128K), input pricing ($0.40 vs $2.00/M), licensing (Apache 2.0 vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and Mistral Large 2?

Beam 1.0 is developed by Reflection AI and Mistral Large 2 is developed by Mistral AI.

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