models

Tencent: Hy3

Markdown · JSON

Tencent: Hy3

Tencent Hy3 is a text model with a published 262,144-token context and Chat Completions access under tencent/hy3. Use it with supplied documents, conversation history or code text, and define a concrete deliverable such as a structured summary, comparison or proposed response. The profile includes reasoning, response-format and function-tool controls.

About the model

This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below.

Tencent Hy3 is a text-input, text-output model selected with the exact ID tencent/hy3. Its published context length is 262,144 tokens. Use the available context to organise substantial source material with the question it must answer: labelled document sections, a relevant conversation or code excerpts. Define the requested result, such as a decision summary, a comparison against named criteria or a draft grounded in the supplied policy text.

Call POST /v1/chat/completions with model and a nonempty messages array. Put the actual source material in message text and preserve the turns needed for a continuing conversation. For several documents, give each one a stable label and ask the answer to identify the passages supporting its conclusions. For a code task, include the relevant definitions and the observed behaviour, then state whether the deliverable is an explanation, review or proposed change.

The published controls include max_tokens and max_completion_tokens for the requested answer budget, temperature and stop for generation, and reasoning, reasoning_effort and include_reasoning for reasoning-related requests. The declared default temperature is 0.9. Select controls deliberately for the task and retain the actual values with the request so a comparison between answers uses a known configuration. Allocate context to instructions, source material, history and the reply you request.

For an application that consumes a particular response shape, the model profile includes response_format. It also exposes tools and tool_choice for function-tool workflows. Supply the function definitions the application actually implements, retain any returned tool-call identifiers and arguments, and perform the indicated application action before supplying its result in the conversation. Keep the tool schema and the expected output fields explicit so the application can inspect the generated response before continuing.

Use stream:false for a complete JSON reply or stream:true to deliver response events to an interactive interface. Preserve every returned choice, content block, tool call, reasoning field and usage field that the response supplies. When streaming, assemble deltas by their choice and tool-call indices and retain the final finish information. Keep the original request and response identifiers if delivery becomes uncertain so the original exchange can be checked before another submission.

Ailoot Ultra · Chat Completions POST /v1/chat/completions tencent/hy3

tencent/hy3

Tencent /tencent/hy3

Overview

Tencent Hy3 is a text model with a published 262,144-token context and Chat Completions access under tencent/hy3. Use it with supplied documents, conversation history or code text, and define a concrete deliverable such as a structured summary, comparison or proposed response. The profile includes reasoning, response-format and function-tool controls.

Accepted inputs
Text
Results
Text

Available in Ailoot · inputs & methods

Ailoot Ultra · Chat Completions POST /v1/chat/completions
Input types
text
Output types
text
Context
262,144 tokens
Output format
JSON or supported SSE
FieldTypeRequirementValues & limitsDefault
FieldmodelTypestringRequirementRequiredValues & limits
tencent/hy3
Default—
FieldmessagesTypearrayRequirementRequiredValues & limitsDefault—
FieldstreamTypebooleanRequirementOptionalValues & limitsDefaultfalse
Fieldmax_tokensTypeintegerRequirementOptionalValues & limits
Minimum: 1
Default—
Fieldmax_completion_tokensTypeintegerRequirementOptionalValues & limits
Minimum: 1
Default—
FieldnTypeintegerRequirementOptionalValues & limits
Minimum: 1
Default—
FieldtemperatureTypenumberRequirementOptionalValues & limitsDefault—
Fieldtop_pTypenumberRequirementOptionalValues & limitsDefault—
FieldseedTypeintegerRequirementOptionalValues & limitsDefault—
FieldstopTypeRequirementOptionalValues & limitsDefault—
Fieldfrequency_penaltyTypenumberRequirementOptionalValues & limitsDefault—
Fieldpresence_penaltyTypenumberRequirementOptionalValues & limitsDefault—
FielduserTypestringRequirementOptionalValues & limitsDefault—
Method parameters and lifecycle
ParameterContract
Parametercontent_typeContractapplication/json
ParameterrequiredContractmodel, messages
ParameteroptionalContractstream, max_tokens, max_completion_tokens, n, temperature, top_p, seed, stop, frequency_penalty, presence_penalty, user
Parametermaterial_typesContracttext
ParameterconditionsContract

Lifecycle: synchronous_json_or_sse

Pricing

Tariff references do not add request options. Supported parameters are listed for the selected method.

Fast mode
Not specified When fast mode is selected
Flex mode
Not specified When flex mode is selected
Time schedule
{"periods":[{"end_time":"16:00","multiplier":"1.6","start_time":"00:00"}],"timezone":"UTC","weekdays_only":false} At the request pricing time

Ailoot rates

Prices by configuration

ConfigurationRate scheduleCharge
ConfigurationBase token ratesRate scheduleBase rateCharge
Input · Input tokens $0.000165 / 1K tokens
Output · Output tokens $0.00066 / 1K tokens
Input · Cache read $0.00004125 / 1K tokens
Input · Cache write — / 1K tokens
Input · Cache write, 1 hour — / 1K tokens

Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. How reservation and settlement work →

Example requests

Ailoot Ultra · Chat Completions

curl · create once and retain the complete result
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
export AILOOT_API_KEY
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "tencent/hy3", "messages": [{"role": "user", "content": "Summarize the supplied text in three concise points."}], "stream": false}')

Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
# Submit once. Retain the complete result, original identifiers and every response header.

Receive and save results

Ailoot Ultra · Chat Completions

JSON or supported SSE

Keep all completed results

Keep every complete returned response, file and content part.

Retain the complete response, all actual results, original identifiers, usage and response headers.

If the original response needs checking

Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.

Aliases

Model aliases

Ailoot Ultra tencent/hy3

Method path aliases

Use the method paths shown above.

Related caller IDs

tencent/hy3

FAQ · Tencent: Hy3
What inputs and results are available?

POST /v1/chat/completions · tencent/hy3: text → text

Which fields does the request use?

POST /v1/chat/completions · tencent/hy3: model, messages, stream, max_tokens, max_completion_tokens, n, temperature, top_p, seed, stop, frequency_penalty, presence_penalty, user

What limits apply?

POST /v1/chat/completions · tencent/hy3: ctx: 262144; max_tokens.minimum: 1; max_completion_tokens.minimum: 1; n.minimum: 1

More details

Connect Ailoot to Claude Code, OpenCode, Hermes or your own app.

The company and its project portfolio

The company and its project portfolio: millions of customers; monthly sales in the billions.

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