OpenAI: o1-pro vs Tencent: Hy3
Here is how OpenAI: o1-pro and Tencent: Hy3 compare on specs and pricing. Tencent: Hy3 is cheaper on input tokens at $0.13/1M vs $150/1M for OpenAI: o1-pro. Tencent: Hy3 offers the larger context window at 262K tokens.
OpenAI: o1-pro vs Tencent: Hy3: which should you use?
Choose OpenAI: o1-pro if…
- It accepts image, file input, which Tencent: Hy3 does not.
Choose Tencent: Hy3 if…
- It sees more real traffic — #2 overall on OpenRouter's weekly ranking.
- Cheaper to read — $0.13 vs $150 per 1M input tokens, which is what dominates long-prompt and RAG workloads.
- Cheaper to write — $0.53 vs $600 per 1M output tokens, the line item that decides generation-heavy costs.
- Bigger context window — 262K vs 200K tokens.
- It is the newer model — released Jul 2026 against Mar 2025.
Spec Comparison
| Spec | OpenAI: o1-pro | Tencent: Hy3 |
|---|---|---|
| Author | openai | tencent |
| Input price (per 1M tokens) | $150 | $0.13 |
| Output price (per 1M tokens) | $600 | $0.53 |
| Context window | 200K | 262K |
| Input modalities | text, image, file | text |
| Output modalities | text | text |
| AA Intelligence | — | — |
| AA Coding | — | — |
| AA Agentic | — | — |
| Released | Mar 2025 | Jul 2026 |
What OpenAI: o1-pro and Tencent: Hy3 actually cost to run
On a read-heavy job — 1M tokens in, 100K out — OpenAI: o1-pro costs $210 and Tencent: Hy3 costs $0.18.
Flip the shape — 100K in, 1M out — and it becomes $615 for OpenAI: o1-pro versus $0.54 for Tencent: Hy3.
Both figures are the published per-token rates multiplied out; caching and batch discounts are not included.
Usage Rank by Task
| Task | OpenAI: o1-pro | Tencent: Hy3 |
|---|---|---|
| Overall | — | #2 |
| Memory Extraction | — | #3 |
| Multi-step Planning | — | #3 |
| Tool Dispatch | — | #3 |
| Web Search | — | #3 |
| Agent Workflows | — | #1 |
| Classification & Tagging | — | #10 |
| Debugging | — | #9 |
| DevOps Config | — | #7 |
| File Read/Write | — | #2 |
| Frontend UI | — | #6 |
| Code Implementation | — | #4 |
| Repo Analysis | — | #2 |
| Code Review & Security | — | #8 |
| Shell Execution | — | #4 |
About OpenAI: o1-pro and Tencent: Hy3
OpenAI: o1-pro
Built by openai · released Mar 2025 · 200K-token context
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...
Tencent: Hy3
Built by tencent · released Jul 2026 · 262K-token context
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:...
Related comparisons
- OpenAI: o1-pro vs DeepSeek: DeepSeek V4 Flash 0731
- OpenAI: o1-pro vs OpenAI: GPT-5.6 Luna (batch)
- OpenAI: o1-pro vs DeepSeek: DeepSeek V4 Flash 0423
- Tencent: Hy3 vs DeepSeek: DeepSeek V4 Flash 0731
- Tencent: Hy3 vs OpenAI: GPT-5.6 Luna (batch)
- Tencent: Hy3 vs DeepSeek: DeepSeek V4 Flash 0423
Get notified when OpenAI: o1-pro or Tencent: Hy3 moves
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FAQ
Which is better, OpenAI: o1-pro or Tencent: Hy3?
Here is how OpenAI: o1-pro and Tencent: Hy3 compare on specs and pricing. Tencent: Hy3 is cheaper on input tokens at $0.13/1M vs $150/1M for OpenAI: o1-pro. Tencent: Hy3 offers the larger context window at 262K tokens.
Which is cheaper, OpenAI: o1-pro or Tencent: Hy3?
Tencent: Hy3 is cheaper at $0.13 per 1M input tokens. Output pricing: OpenAI: o1-pro $600, Tencent: Hy3 $0.53.
Usage ranks are weekly data aggregated by OpenRouter. Prices are USD per 1M tokens.