Hy3 API Pricing: ¥1/¥4 Rates, 4 Providers, and GPT-5.6 Cost Comparison
·9 min read
See the decision data before choosing
Prices and market data come from ComputeUnion. External capability scores stay source-labelled and are never blended into a fabricated total score.
Monthly cost scenario
10M input + 2M output tokens per month.
External capability snapshot
One Artificial Analysis Intelligence Index methodology; not a substitute for task testing.
Cost at three usage levels
Calculated with Tencent's official ¥1 input / ¥4 output rate. Steps separate the scenarios and do not encode scale by area.
Current provider coverage
More providers do not mean stronger capability, but they affect procurement, resilience, and regional access.
Choose by workload, not one score
Method: these charts are dated decision snapshots, not future-price promises or substitutes for task-level evaluation.
Decision first: Hy3 is worth testing when a team processes large volumes of Chinese text, builds workplace agents, or needs a low-cost domestic API route. Tencent's current published rate is ¥1 per million input tokens and ¥4 per million output tokens. ComputeUnion currently tracks four Hy3 providers; the official Tencent Hunyuan route is also the lowest recorded input price at about $0.1379 per million tokens. For 10 million input tokens and 2 million output tokens, the official bill is about ¥18 ($2.48).
That price does not make Hy3 the automatic answer for every application. GPT-5.6 Sol has a higher dated external Intelligence Index, while GLM-5.2 has broader tracked provider coverage. The useful question is narrower: can Hy3 complete your actual Chinese and agent tasks reliably enough that its lower hosted cost survives retries and human review?
What the current data actually says
| Signal | Hy3 snapshot | Why it matters |
|---|---|---|
| Official hosted API price | ¥1 input / ¥4 output per 1M tokens | Baseline for a real API bill |
| ComputeUnion coverage | 4 tracked providers | Current buying routes, not theoretical availability |
| External Intelligence Index | 41, #7 of 97 in its comparison class | Dated independent evidence, not a universal verdict |
| Measured output speed | 45.5 tokens/second | Latency may matter for interactive workloads |
| Official context | Up to 256K tokens | Long documents still require cost and latency testing |
| Model architecture | 295B total / 21B active parameters | Official architecture fact, not a quality score |
Snapshot date: 2026-07-17. Provider count and lowest price can change; the linked Hy3 price page is the current source of record.
Open weights do not mean a hosted API costs zero
Artificial Analysis displays a $0 token price for the open-weights Hy3 entry. That is useful when comparing openness and self-hosting, but it is not the bill a developer receives from a managed API. ComputeUnion records the current Tencent hosted API at ¥1/¥4 per million input/output tokens. These figures describe different products: downloadable weights versus a managed endpoint with infrastructure, availability, and service terms.
Practical reading: Hy3 can be free to download under its license while still costing money to call through Tencent Cloud or another hosted provider.
Monthly Hy3 cost at three usage levels
The formula is input tokens divided by one million, multiplied by ¥1, plus output tokens divided by one million, multiplied by ¥4.
| Workload | Monthly input | Monthly output | Official Hy3 cost | What to check |
|---|---|---|---|---|
| Small production test | 10M | 2M | ¥18 / about $2.48 | Integration quality matters more than price |
| Medium agent workload | 1B | 200M | ¥1,800 / about $248 | Retries, concurrency and output length |
| Large-scale processing | 10B | 2B | ¥18,000 / about $2,483 | Enterprise limits, invoicing and SLA |
Output is four times the input rate. Hy3 is therefore most attractive when prompts are large but answers remain short and structured. Repeated long explanations can erase much of the apparent price advantage.
Who should test Hy3 now?
| More likely to benefit | Should compare carefully first |
|---|---|
| High-volume Chinese classification, extraction and summarization | Applications tied to OpenAI-specific tools or response behavior |
| Workplace agents, document workflows and knowledge-base Q&A | Global multi-region services with strict international SLA requirements |
| Domestic teams that need RMB billing, local access or invoices | Small workloads where migration saves only a few dollars |
| Teams building a second model route for resilience | Core systems that have not run task-level regression tests |
Tencent documents progress in software development, office productivity, financial modeling, front-end design, game production, knowledge-base Q&A, task planning and tool coordination. Those claims justify what to test; they do not prove that every workload will outperform GPT or GLM.
Hy3 vs GPT-5.6 Sol vs GLM-5.2
| Model | External Intelligence Index | Current tracked input price | Tracked providers | Decision role |
|---|---|---|---|---|
| Hy3 | 41 | $0.1379 official hosted API | 4 | High-volume Chinese and agent candidate |
| GPT-5.6 Sol | 59 | $5 official; tracked channels from $0.0966 | 19 | Frontier capability candidate |
| GLM-5.2 | 51 | Tracked channels from $0.0579 | 18 | Coding-focused Chinese competitor |
The price scopes are deliberately labelled. Hy3 has a verified official hosted rate. GPT-5.6 shows official and channel prices. GLM-5.2 currently has a tracked channel floor on ComputeUnion, but this article does not invent a monthly bill where a complete comparable output-rate record is unavailable.
How to use Hy3 without wasting the price advantage
- Route by task difficulty. Start common Chinese extraction and summarization on Hy3; escalate failed or high-value tasks to a more expensive model.
- Constrain output. Request schemas, bullet limits or maximum sections instead of open-ended explanations.
- Measure successful-task cost. Include retries, tool failures, latency and manual review—not just token price.
- Test the exact provider route. A low quote is not proof of the same model ID, quota, privacy policy or support responsibility.
- Use a 20-task regression set. Ten common tasks, five difficult tasks and five known failures expose many migration problems before production.
What gives Hy3 future potential—and what could limit it
The strongest positive signal is usage, not marketing language. Tencent reports that average daily Hy3 token consumption increased twenty-fold after the preview launch, while active WorkBuddy users selecting Hy3 grew sixfold. Tencent has integrated it into multiple products and made the weights available under Apache 2.0. Those facts support a reasonable case for continued ecosystem growth.
The limits are equally concrete. Artificial Analysis reports about 45.5 output tokens per second and describes the model as verbose in its benchmark workload. ComputeUnion currently tracks only four providers, far fewer than GPT-5.6 Sol or GLM-5.2. Hy3 may become a strong large-scale Chinese workhorse, but it still needs wider hosted availability and task-level evidence before being treated as a universal replacement.
Clear conclusion
Hy3 is currently a low-cost, high-volume candidate—not an automatic frontier-model replacement. It is most compelling for Chinese workloads, workplace agents and domestic enterprise procurement. Begin with the official ¥1/¥4 rate, run the same task set against GPT-5.6 Sol and GLM-5.2, and keep Hy3 only when its successful-task cost remains lower after retries and review.
Sources and verification method
Official positioning, architecture, context and adoption figures come from Tencent's Hy3 release announcement. Independent Intelligence Index and speed figures come from Artificial Analysis. Hosted prices and provider coverage come from ComputeUnion records, with official, channel, live_api and unverified states kept separate. Prices do not create capability scores, and open-weight cost is not presented as hosted API cost.
Frequently Asked Questions
How much does the official Hy3 API cost?
The current Tencent hosted rate tracked by ComputeUnion is ¥1 per million input tokens and ¥4 per million output tokens.
Is Hy3 free because it is open weights?
The weights are available under Apache 2.0, but managed API endpoints still charge for infrastructure and service. Open-weight cost and hosted API pricing are different.
Who should test Hy3?
Teams with high-volume Chinese processing, workplace agents, domestic billing requirements, or a need for an additional model route are the strongest candidates.
Is Hy3 better than GPT-5.6 Sol?
Not universally. GPT-5.6 Sol has a higher dated Intelligence Index; Hy3 has a much lower official hosted token rate. Test successful-task cost on your own workload.
Should I choose the cheapest Hy3 provider?
Only after checking the exact model ID, source status, rate limits, latency, privacy terms, refund policy, and support responsibility.