AI Models · Open-Source vs Paid

Hy3 Open vs Mistral Large Paid

Hy3 vs Mistral Large compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

Choose Hy3 if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Mistral Large if you want frontier capability through a managed API with zero infrastructure to run.

Hy3 vs Mistral Large specs

SpecHy3Mistral Large
MakerTencentMistral AI
TypeOpen-weightProprietary
Context window262K tokens128K tokens
Input price$0.13/M · free self-host$2/M
Output price$0.53/M · free self-host$6/M
Vision / multimodalNoNo
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseOpen weightsProprietary

Feature comparison

CapabilityHy3Mistral Large
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Hy3 vs Mistral Large

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

Hy3 delivers 71× more intelligence per dollar.
Hy3
Mistral Large
Intelligence index
41.2
7.3
Coding index
58.8
GPQA
89.7%
47.2%
Humanity's Last Exam
31.6%
3.2%
Long Context Reasoning
66.7%
1.7%
SciCode
47.6%
27.1%
τ-Bench Banking
20.8%
Terminal-Bench
64.4%
Math index
0
MMLU-Pro
68.3%
LiveCodeBench
26.7%
MATH-500
71.4%
AIME
9.3%
AIME 2025
0%
IFBench
31.6%
τ²-Bench
33%
Speed
68.6 tok/s
0 tok/s
Latency
1.68s
0s
Intelligence per $
171
2.4

Benchmark data by Artificial Analysis.

How Hy3 and Mistral Large score

🏆 Best value & openness: Hy3 (4.5 vs 2.7 / 5)
CriterionHy3Mistral Large
Cost-efficiency5.04.0
Context window4.03.5
Openness5.01.5
Self-hosting5.01.0
Multimodality3.53.5

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

Hy3 Open

Tencent · Open-weight

Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort:...

Mistral Large Paid

Mistral AI · Proprietary

This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
Hy3 previewHunyuan A13B Instruct

Frequently asked questions

Is Hy3 as good as Mistral Large?

Hy3 is open-weight and competitive on many tasks, but Mistral Large may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.

Can I run Hy3 locally?

Yes. Hy3 has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Mistral Large is API-only and cannot be self-hosted.

How much cheaper is Hy3?

Hy3 costs $0.53/M output vs $6/M for Mistral Large — roughly 11x cheaper via API, and free if you self-host.

Hy3 vs Mistral Large — which should I pick in 2026?

Choose Hy3 if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Mistral Large if you want frontier capability through a managed API with zero infrastructure to run.

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