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Hy4 preview vs Magistral Small 2506

Hy4 preview leads the LLM Stats Score 51.0 to 10.7.

Tencent · Mistral AI · Updated for 2026

Which is better?

Hy4 preview leads the overall LLM Stats Score 51.0 to 10.7, ranking #14 overall.

In the 1 individual benchmarks reported for both models, Hy4 preview wins 1; 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 Hy4 preview

  • overall performance matters — it scores 51.0 and ranks #14 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Aug 2026

Choose Magistral Small 2506

  • you are already invested in the Mistral AI ecosystem

At a glance

The differences that matter most.

Core performance indexes
51.0
#14
10.7
#261
50.8
#10
10.9
#259
39.7
#14
5.2
#201
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
— / M
Output price
— / M
— / M
Context window

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Hy4 preview
Magistral Small 2506
41.0#11
8.5#259
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

32 reported for Hy4 preview · 4 for Magistral Small 2506

1 shared

Hy4 preview outperforms in 1 benchmarks (GPQA), while Magistral Small 2506 is better at 0 benchmarks.

Hy4 preview significantly outperforms across most benchmarks.

Mon Sep 21 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

746.0B diff

Hy4 preview has 746.0B more parameters than Magistral Small 2506, making it 3108.3% larger.

Tencent
Hy4 preview
770.0Bparameters
Mistral AI
Magistral Small 2506
24.0Bparameters
770.0B
Hy4 preview
24.0B
Magistral Small 2506

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

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

Hy4 preview

Apache 2.0

Open weights

Magistral Small 2506

Apache 2.0

Open weights

Release Timeline

When each model was launched

Hy4 preview was released on 2026-08-28, while Magistral Small 2506 was released on 2025-06-10.

Hy4 preview is 15 months newer than Magistral Small 2506.

Hy4 preview

Aug 28, 2026

3 weeks ago

1.2yr newer
Magistral Small 2506

Jun 10, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while Hy4 preview's cutoff date is not specified.

We can confirm Magistral Small 2506's training data extends to 2025-06-01, but cannot make a direct comparison without Hy4 preview's cutoff date.

Hy4 preview

Magistral Small 2506

Jun 2025

Outputs Comparison

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Judge for yourself.

Run your own prompts against Hy4 preview and Magistral Small 2506 side-by-side, then vote on the output you prefer.

Hy4 preview
✓ Preferred
Magistral Small 2506
Open in Playground

FAQ

Common questions about Hy4 preview vs Magistral Small 2506.

Which is better, Hy4 preview or Magistral Small 2506?

Hy4 preview leads the LLM Stats Score 51.0 to 10.7. Hy4 preview is made by Tencent and Magistral Small 2506 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 Hy4 preview compare to Magistral Small 2506 in benchmarks?

Hy4 preview scores GPQA: 92.3%, Terminal-Bench 2.1: 85.4%, WideSearch: 83.9%, MCP Atlas: 83.7%, SWE-bench Multilingual: 82.9%. Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%.

What are the main differences between Hy4 preview and Magistral Small 2506?

Key differences include LLM Stats Score (51.0 vs 10.7). See the full comparison above for benchmark-by-benchmark results.

Who makes Hy4 preview and Magistral Small 2506?

Hy4 preview is developed by Tencent and Magistral Small 2506 is developed by Mistral AI.