
Tencent: Hy4 preview
tencent/hy4-preview
Model weightsTencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and productivity tasks that require planning, context continuity, and sustained multi-step execution.
Providers
Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).
| $0.8340 | $2.5010 | $0.0420 | 1.16s | 64 tok/s | ||
| $0.834$0.7506 | $2.501$2.2509 | $0.042$0.0378 | 3.53s | 42 tok/s | ||
| $0.8340 | $2.5010 | $0.0420 | 1.00s | 61 tok/s | ||
| $0.8340 | $2.5010 | $0.0420 | 1.88s | 29 tok/s | ||
| $0.8340 | $2.5010 | $0.0420 | 3.01s | 37 tok/s | ||
| $0.8340 | $2.5010 | $0.0420 | 1.77s | 52 tok/s |
- Input $0.834 / Output $2.50164 tok/s100.00% uptime
- Input $0.7506 / Output $2.250942 tok/s100.00% uptime
Input $0.834 / Output $2.50161 tok/s99.91% uptime- Input $0.834 / Output $2.50129 tok/s99.44% uptime
- Input $0.834 / Output $2.50137 tok/s100.00% uptime
- Input $0.834 / Output $2.50152 tok/s100.00% uptime
Pricing
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Weighted average
Hy4 preview — Price history
| $0.0678 | $2.50 | 96.7% | 16.9% | ||
| $0.0747 | $2.47 | 95.7% | 74.5% | ||
| $0.0953 | $2.50 | 93.3% | 5.6% | ||
| $0.1117 | $2.50 | 91.2% | 1.5% | ||
| $0.1709 | $2.50 | 83.7% | 0.8% | ||
| $0.1966 | $2.50 | 80.5% | 0.7% |
- Effective in $0.0678 / Effective out $2.50Token share16.9%
- Effective in $0.0747 / Effective out $2.47Token share74.5%
- Effective in $0.0953 / Effective out $2.50Token share5.6%
- Effective in $0.1117 / Effective out $2.50Token share1.5%
- Effective in $0.1709 / Effective out $2.50Token share0.8%
- Effective in $0.1966 / Effective out $2.50Token share0.7%
Performance
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
P50, best across providers
P50, best provider
Uptime
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Availability over the last 3 days
Last 72 hoursAvailability over the last 24 hours
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.
Benchmarks
Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.
| Source | Benchmark | Score |
|---|---|---|
| Vals AI | Hy4 Preview BioMysteryBench | 69.3% |
| Vals AI | Hy4 Preview Code Migration v1.1 | 45.4% |
| Vals AI | Hy4 Preview CyberBench v1.1 | 65.4% |
| Vals AI | Hy4 Preview EMB v1.1 | 68.9% |
| Vals AI | Hy4 Preview Finance Agent v2.1 | 61.6% |
| Vals AI | Hy4 Preview Vals Finance Index | 57.5% |
| Vals AI | Hy4 Preview HLAB-Vals-1.1 | 8.8% |
| Vals AI | Hy4 Preview IOI | 59.3% |
| Vals AI | Hy4 Preview LegalBench | 83.8% |
| Vals AI | Hy4 Preview Vals Legal Index | 71.7% |
| Vals AI | Hy4 Preview Legal Research Bench | 45.2% |
| Vals AI | Hy4 Preview MedCode | 43.2% |
| Vals AI | Hy4 Preview MedScribe | 83.6% |
| Vals AI | Hy4 Preview ProgramBench | 0.0% |
| Vals AI | Hy4 Preview ProofBench v1.1 | 75.0% |
| Vals AI | Hy4 Preview Public Benefits Bench v1.1 | 68.6% |
| Vals AI | Hy4 Preview SRE Bench | 2.3% |
| Vals AI | Hy4 Preview Tax Agent Bench | 32.6% |
| Vals AI | Hy4 Preview Terminal-Bench 4.0 | 8.1% |
| Vals AI | Hy4 Preview Terminal-Bench-Science | 1.4% |
| Vals AI | Hy4 Preview Vals Index | 53.2% |
| Vals AI | Hy4 Preview Vibe Code Bench v1.1 | 77.5% |
Apps
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Activity
Token volume and request traffic to this model over time.
API
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
Not currently available through EU in-region routing. In-region routing docs
Frequently asked questions
Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and productivity tasks that require planning, context continuity, and sustained multi-step execution.
Hy4 preview costs $0.7506/M input tokens and $2.251/M output tokens, with separate rates for Cache Read at $0.0378/M tokens.
Hy4 preview has a 1,048,576 token context window. It supports up to 64,000 completion tokens.
Yes. Hy4 preview accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
Hy4 preview is served by 6 providers on OpenRouter: Tencent Cloud, GMICloud, AtlasCloud, DeepInfra, NovitaAI, and SiliconFlow. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.
Hy4 preview was released on August 28, 2026.