Model Comparison

Mistral Medium 3.5 vs Hy3Which is better in 2026?

Hy3 significantly outperforms across most benchmarks.

Verdict: Mistral Medium 3.5 vs Hy3 — which is better?

Mistral Medium 3.5 (by Mistral AI) and Hy3 (by Tencent) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Mistral Medium 3.5 outperforms in 0 benchmarks, while Hy3 is better at 2 benchmarks (BrowseComp, SWE-Bench Verified). Hy3 significantly outperforms across most benchmarks.

Choose Mistral Medium 3.5 if…

  • you want predictable pricing at $1.50/M input and $7.50/M output

Choose Hy3 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Mistral Medium 3.5 outperforms in 0 benchmarks, while Hy3 is better at 2 benchmarks (BrowseComp, SWE-Bench Verified).

Hy3 significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

167.0B diff

Hy3 has 167.0B more parameters than Mistral Medium 3.5, making it 130.5% larger.

Mistral AI
Mistral Medium 3.5
128.0Bparameters
Tencent
Hy3
295.0Bparameters
128.0B
Mistral Medium 3.5
295.0B
Hy3

Context Window

Maximum input and output token capacity

Only Mistral Medium 3.5 specifies input context (256,000 tokens). Only Mistral Medium 3.5 specifies output context (256,000 tokens).

Mistral AI
Mistral Medium 3.5
Input256,000 tokens
Output256,000 tokens
Tencent
Hy3
Input- tokens
Output- tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Medium 3.5 supports multimodal inputs, whereas Hy3 does not.

Mistral Medium 3.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Medium 3.5

Text
Images
Audio
Video

Hy3

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Medium 3.5 is licensed under Modified MIT License, while Hy3 uses Apache 2.0.

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

Mistral Medium 3.5

Modified MIT License

Open weights

Hy3

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Medium 3.5 was released on 2026-04-29, while Hy3 was released on 2026-07-06.

Hy3 is 2 months newer than Mistral Medium 3.5.

Mistral Medium 3.5

Apr 29, 2026

2 months ago

Hy3

Jul 6, 2026

1 weeks ago

2mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (256,000 tokens)
Supports multimodal inputs
Higher BrowseComp score (84.2% vs 48.6%)
Higher SWE-Bench Verified score (78.0% vs 77.6%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Mistral Medium 3.5 and Hy3 side-by-side, then vote on the output you prefer.

Mistral Medium 3.5
✓ Preferred
Hy3
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Mistral Medium 3.5
Tencent
Hy3

FAQ

Common questions about Mistral Medium 3.5 vs Hy3.

Which is better, Mistral Medium 3.5 or Hy3?

Hy3 significantly outperforms across most benchmarks. Mistral Medium 3.5 is made by Mistral AI and Hy3 is made by Tencent. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Mistral Medium 3.5 compare to Hy3 in benchmarks?

Mistral Medium 3.5 scores COLLIE: 95.8%, Tau3 Telecom: 91.4%, AIME 2025: 86.3%, SWE-Bench Verified: 77.6%, Tau3 Retail: 76.1%. Hy3 scores DeepSearchQA: 91.0%, GPQA: 90.4%, IMO-AnswerBench: 90.0%, BrowseComp: 84.2%, MCP Atlas: 79.1%.

What are the context window sizes for Mistral Medium 3.5 and Hy3?

Mistral Medium 3.5 supports 256K tokens and Hy3 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 Mistral Medium 3.5 and Hy3?

Key differences include multimodal support (yes vs no), licensing (Modified MIT License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Medium 3.5 and Hy3?

Mistral Medium 3.5 is developed by Mistral AI and Hy3 is developed by Tencent.