Hy3 Open vs 
GPT-4o-mini (batch) Paid
Hy3 vs GPT-4o-mini (batch) compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
GPT-4o-mini (batch) — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$0.33 /M outputNo per-token fees if you self-host
$0.3 /M outputManaged API (no infra to run)
Hy3 vs GPT-4o-mini (batch) specs
| Spec | Hy3 | GPT-4o-mini (batch) | Winner |
|---|---|---|---|
| Maker | Tencent | OpenAI | – |
| Type | Open-weight | Proprietary | |
| Context window | 262K tokens | 128K tokens | |
| Input price | $0.08/M · free self-host | $0.08/M | = Tie |
| Output price | $0.33/M · free self-host | $0.3/M | |
| Vision / multimodal | No | Yes | |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | Yes | No (API only) | |
| License | Open weights | Proprietary |
Price gap & when to choose each
- You want to self-host or run on your cloud
- You need the longer 262K context window
- You prioritize data privacy & control
- You are building open or reproducible AI
- You want frontier performance through a managed API
- You want the lower output price
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | Hy3 | GPT-4o-mini (batch) |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✗ | ✓ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✗ | ✗ |
Benchmarks: Hy3 vs GPT-4o-mini (batch)
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How Hy3 and GPT-4o-mini (batch) score
| Criterion | Hy3 | GPT-4o-mini (batch) |
|---|---|---|
| Cost-efficiency | 5.0 | 5.0 |
| Context window | 4.0 | 3.5 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 3.5 | 5.0 |
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
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:...
GPT-4o-mini (batch) Paid
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
Other models in these families
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Frequently asked questions
Is Hy3 as good as GPT-4o-mini (batch)?
Hy3 is open-weight and competitive on many tasks, but GPT-4o-mini (batch) 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. GPT-4o-mini (batch) is API-only and cannot be self-hosted.
Hy3 vs GPT-4o-mini (batch) — 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 GPT-4o-mini (batch) if you want frontier capability through a managed API with zero infrastructure to run.
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