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Beam 1.0 vs Codestral-22B

Beam 1.0 leads the LLM Stats Score 44.6 to -0.4.

Reflection AI · Mistral AI · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to -0.4, ranking #46 overall.

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 want the most recent training data — it shipped Oct 2026

Choose Codestral-22B

  • you are already invested in the Mistral AI ecosystem

At a glance

The differences that matter most.

Core performance indexes
44.6
#46
-0.4
#352
45.5
#37
-0.5
#345
33.7
#39
2.4
#250
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.40 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Individual benchmarks

22 reported for Beam 1.0 · 7 for Codestral-22B

No common benchmarks found

Beam 1.0 and Codestral-22Bdon'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

Model Size

Parameter count comparison

479.1B diff

Beam 1.0 has 479.1B more parameters than Codestral-22B, making it 2158.1% larger.

Reflection AI
Beam 1.0
501.3Bparameters
Mistral AI
Codestral-22B
22.2Bparameters
501.3B
Beam 1.0
22.2B
Codestral-22B

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
Codestral-22B
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, while Codestral-22B uses MNPL-0.1.

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

Beam 1.0

Apache 2.0

Open weights

Codestral-22B

MNPL-0.1

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while Codestral-22B was released on 2024-05-29.

Beam 1.0 is 29 months newer than Codestral-22B.

Beam 1.0

Oct 16, 2026

3 days ago

2.4yr newer
Codestral-22B

May 29, 2024

2.4 years ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Codestral-22B'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 Codestral-22B's cutoff date.

Beam 1.0

Jun 2026

Codestral-22B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and Codestral-22B side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
Codestral-22B
Open in Playground

FAQ

Common questions about Beam 1.0 vs Codestral-22B.

Which is better, Beam 1.0 or Codestral-22B?

Beam 1.0 leads the LLM Stats Score 44.6 to -0.4. Beam 1.0 is made by Reflection AI and Codestral-22B 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 Codestral-22B 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%. Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%.

What are the context window sizes for Beam 1.0 and Codestral-22B?

Beam 1.0 supports 1.0M tokens and Codestral-22B 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 Codestral-22B?

Key differences include LLM Stats Score (44.6 vs -0.4), licensing (Apache 2.0 vs MNPL-0.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and Codestral-22B?

Beam 1.0 is developed by Reflection AI and Codestral-22B is developed by Mistral AI.