Hy3 vs Mistral Large 4
Hy3 and Mistral Large 4 are closely matched at 42.5 and 45.8 on the LLM Stats Score. Hy3 is 4.1x cheaper per token.
Tencent · Mistral AI · Updated for 2026
Which is better?
Hy3 and Mistral Large 4 are closely matched on the overall LLM Stats Score at 42.5 and 45.8.
On price, Hy3 is roughly 4.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral Large 4 also accepts a larger context window (1,000,000 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 Hy3
- cost matters — it's about 4.1x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Mistral Large 4
- your work emphasizes agents — it leads those capability indexes
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
31 reported for Hy3 · 18 for Mistral Large 4
Hy3 and Mistral Large 4don'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
For input processing, Hy3 ($0.14/1M tokens) is 4.9x cheaper than Mistral Large 4 ($0.68/1M tokens).
For output processing, Hy3 ($0.58/1M tokens) is 3.6x cheaper than Mistral Large 4 ($2.09/1M tokens).
In conclusion, Mistral Large 4 is more expensive than Hy3.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Large 4 has 755.0B more parameters than Hy3, making it 255.9% larger.
Context Window
Maximum input and output token capacity
Mistral Large 4 accepts 1,000,000 input tokens compared to Hy3's 262,144 tokens. Only Hy3 specifies output context (262,144 tokens).
Input capabilities
Documented input modalities across available providers
Mistral Large 4 supports multimodal inputs, whereas Hy3 does not.
Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Hy3
Mistral Large 4
License
Usage and distribution terms
Hy3 is licensed under Apache 2.0, while Mistral Large 4 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Hy3 was released on 2026-07-06, while Mistral Large 4 was released on 2026-10-06.
Mistral Large 4 is 3 months newer than Hy3.
Jul 6, 2026
3 months ago
Oct 6, 2026
2 weeks ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Hy3 is available from DeepInfra. Mistral Large 4 is available from Mistral AI.
Hy3
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Hy3 and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Hy3 vs Mistral Large 4.