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Tencent/HunyuanEfficient

hy3

chatcostcoding
hy3 Pricing per 1M tokens
Input$0.140
Output$0.560
View Tencent
Context Window
262K
tokens
hy3 Max Output
16K
tokens
hy3 Throughput
180
tokens/sec
hy3 Latency P50
350ms
time to first token
About hy3

hy3 is a efficient-tier language model from Tencent. hy3 is a proprietary model available exclusively through Tencent's API. The Hunyuan family is Tencent's model series for this capability tier.

hy3 is priced at $0.14/1M input tokens and $0.56/1M output tokens. Output tokens are 4× more expensive than input tokens — this ratio reflects the sequential nature of autoregressive generation, which requires a separate forward pass per output token versus parallel processing of all input tokens simultaneously. At a typical usage pattern of 1,000 input tokens and 500 output tokens per call, hy3 costs approximately $0.42 per 1,000 API calls. Tencent does not publish a prompt caching rate for this model, so repeated long contexts are billed at the standard $0.14/1M input rate.

Its 262K-token context window is in the top tier for production models, enabling full-document analysis, long multi-turn conversations, and large codebase understanding without chunking. Median latency (P50 time-to-first-token) is approximately 350ms — suitable for interactive applications where sub-second response is acceptable. Throughput is approximately 180 tokens/second — fast enough to stream responses at reading speed with headroom for concurrent requests. Maximum output length is 16K tokens — sufficient for long-form content generation, detailed code files, and extended reports.

hy3 is best suited to chat, cost, coding. Supported capabilities include function calling / tool use for agentic workflows, streaming token output for real-time UIs. Function calling support makes it suitable for building AI agents, structured data extraction pipelines, and any workflow requiring the model to invoke external APIs or return typed JSON. When evaluating this model for a specific workload, the most important factors are: context window (does your input fit?), output price (how long are your generations?), and latency (is this interactive or batch?). The pricing table above shows how hy3 compares to similar models across these dimensions.

hy3 sits in the efficient tier — optimized for speed and cost while maintaining solid quality, ideal for high-volume or latency-sensitive workloads. Unlike open-weights alternatives, hy3 is only available via Tencent's API — there is no self-hosted option, which simplifies deployment but creates vendor dependency. When comparing hy3 to alternatives, use the similar models section on this page to find models at comparable price points with different capability tradeoffs. The intelligence score (74/100) reflects aggregate benchmark performance — a useful proxy for general capability, though real-world performance varies significantly by task type. Always test with your specific prompts and use case before committing to a model for production.

hy3 Intelligence Score
74/100
74

Composite quality score based on reasoning, coding, and instruction-following benchmarks.

hy3 Pricing vs Efficient Tier
CheapestThis modelMost expensive
$0.030$0.140$1.50

Input price vs 217 efficient models tracked. Avg: $0.321/1M.

hy3 Capabilities
Vision / Images✗
Function Calling✓
Streaming✓
Prompt Caching✗
Reasoning / CoT✗
Open Weights✗
Computer Use✗
Web Search✗
hy3 Full Specifications
Model IDhy3
ProviderTencent
Model FamilyHunyuan
TierEfficient
Context Window262,144 tokens (262K)
Max Output Tokens16,384 tokens
Input Price$0.14 / 1M tokens
Output Price$0.56 / 1M tokens
Cached Input PriceNot available
Throughput180 tokens/sec
Latency (P50)350ms
Intelligence Score74/100
LiveBench Score—
Cost per Task (LiveBench)—
Data Confidence—
HLE Score—
GPQA Diamond—
SWE-bench Score—
OSWorld Score—
BrowseComp Score—
Terminal-Bench Score—
AutoBench Score—
Parameters—
Vision SupportNo
Function CallingYes
StreamingYes
Reasoning ModelNo
Open WeightsNo
Data SourceStatic (verified)
Last Updated2026-07-20

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hy3 Frequently Asked Questions