gemini-2.5-flash-native-audio vs gemini-3.1-flash-live
何时使用哪一个 — 经过整理的结论,而非基准测试表格
音频费率完全相同(每百万输入 $3、输出 $12),会话机制也一样——16 kHz 输入、24 kHz 输出的 PCM,128k 上下文,纯音频 15 分钟上限——较旧的 gemini-2.5-flash-native-audio 在文本上还略便宜,每百万 $0.5 和 $2 对 $0.75 和 $4.5。功能上的分水岭是工具行为:gemini-2.5-flash-native-audio 支持 NON_BLOCKING 函数声明,工具执行期间模型可以继续说话,而 gemini-3.1-flash-live 是顺序式的,要等工具结果返回才会回应——但它在文本、音频和视频之外增加了图像输入。工具密集的对话选 2.5,需要图像输入选 3.1。
定价
| gemini-2.5-flash-native-audio | gemini-3.1-flash-live | Δ | |
|---|---|---|---|
| 音频输入 / 1M tokens | $3 | $3 | = |
| 音频输出 / 1M tokens | $12 | $12 | = |
| 文本输入 / 1M tokens | $0.5 | $0.75 | 0.67× |
| 文本输出 / 1M tokens | $2 | $4.5 | 0.44× |
费率取自构建时的实时目录;每个模型页面均附有当前的费率卡。
它们的位置 — 以该计费单位计费的所有 6 个 实时语音转语音 模型的 每 1M 音频 token 的价格(对数刻度)
能力
| gemini-2.5-flash-native-audio | gemini-3.1-flash-live | |
|---|---|---|
| 思考控制 | 可配置 | 始终开启 |
| 提示词缓存 | 隐式 + 显式 | 隐式 + 显式 |
| 缓存生存时间 | 未公开 | 未公开 |
| 最小缓存前缀 | 4096 个 token | 4096 个 token |
规格
| gemini-2.5-flash-native-audio | gemini-3.1-flash-live | |
|---|---|---|
| 输入模态 | 文本 音频 视频 | 文本 图像 音频 视频 |
| 输出模态 | 文本 音频 | 文本 音频 |
| 发布日期 | — | 2026-03-26 |
| 知识截止日期 | 2025-01 | — |
| 声音 | Any voice from the Gemini text-to-speech voice set native-audio output models switch languages naturally during a conversation. | Any voice from the Gemini text-to-speech voice set native-audio output models switch languages naturally during a conversation. |
| 会话能力 |
|
|
| 上下文窗口 | 131K | 131K |
规格转录自各供应商的文档;若供应商未发布某项数据,则直接省略该行,而非进行推断。 完整来源: gemini-2.5-flash-native-audio · gemini-3.1-flash-live
只需一行代码即可在它们之间切换
两个 ID 都包含在下方的每个选项卡中 — 高亮显示的两行是唯一的修改。相同的端点,相同的密钥,相同的请求结构。
import asyncio, base64, json, websockets
URL = "wss://synthorai.io/v1/realtime?model=gemini-2.5-flash-native-audio"
# URL = "wss://synthorai.io/v1/realtime?model=gemini-3.1-flash-live" # 取消注释此行,注释上一行
# Send ONLY the Authorization header — the beta protocol is retired.
HEADERS = {"Authorization": "Bearer sk-syn-..."}
async def main():
async with websockets.connect(URL, additional_headers=HEADERS) as ws:
# 1) configure the speech-to-speech session
await ws.send(json.dumps({
"type": "session.update",
"session": {
"type": "realtime",
"output_modalities": ["audio"],
"audio": {"output": {"voice": "alloy"}},
},
}))
# 2) send input audio (base64 PCM16), then request a spoken reply
await ws.send(json.dumps({"type": "input_audio_buffer.append", "audio": pcm16_b64}))
await ws.send(json.dumps({"type": "input_audio_buffer.commit"}))
await ws.send(json.dumps({"type": "response.create"}))
# 3) stream the model's audio (and text) back
async for raw in ws:
ev = json.loads(raw)
if ev["type"] == "response.audio.delta":
play(base64.b64decode(ev["delta"])) # audio out
elif ev["type"] == "response.done":
break
asyncio.run(main())import WebSocket from "ws";
const ws = new WebSocket("wss://synthorai.io/v1/realtime?model=gemini-2.5-flash-native-audio", {
// const ws = new WebSocket("wss://synthorai.io/v1/realtime?model=gemini-3.1-flash-live", { // 取消注释此行,注释上一行
// Send ONLY the Authorization header — the beta protocol is retired.
headers: { Authorization: "Bearer sk-syn-..." },
});
ws.on("open", () => {
// configure the speech-to-speech session
ws.send(JSON.stringify({ type: "session.update", session: {
type: "realtime", output_modalities: ["audio"], audio: { output: { voice: "alloy" } },
} }));
// send input audio (base64 PCM16), then request a spoken reply
ws.send(JSON.stringify({ type: "input_audio_buffer.append", audio: pcm16Base64 }));
ws.send(JSON.stringify({ type: "input_audio_buffer.commit" }));
ws.send(JSON.stringify({ type: "response.create" }));
});
ws.on("message", (raw) => {
const ev = JSON.parse(raw.toString());
if (ev.type === "response.audio.delta") playAudio(Buffer.from(ev.delta, "base64")); // audio out
else if (ev.type === "response.done") ws.close();
});# Realtime is a WebSocket protocol — use a WS client such as websocat.
# Each line below is one OpenAI Realtime event (JSON) sent to the session.
websocat -H 'Authorization: Bearer sk-syn-...' \
'wss://synthorai.io/v1/realtime?model=gemini-2.5-flash-native-audio' <<'EOF'
# 'wss://synthorai.io/v1/realtime?model=gemini-3.1-flash-live' <<'EOF' # 取消注释此行,注释上一行
{"type":"session.update","session":{"type":"realtime","output_modalities":["audio"],"audio":{"output":{"voice":"alloy"}}}}
{"type":"input_audio_buffer.append","audio":"<base64-pcm16>"}
{"type":"input_audio_buffer.commit"}
{"type":"response.create"}
EOF
# Responses stream back as response.audio.delta (base64 audio out) … response.donepackage main
import (
"net/http"
"github.com/gorilla/websocket"
)
func main() {
h := http.Header{}
h.Set("Authorization", "Bearer sk-syn-...")
// Send ONLY the Authorization header — the beta protocol is retired.
c, _, err := websocket.DefaultDialer.Dial("wss://synthorai.io/v1/realtime?model=gemini-2.5-flash-native-audio", h)
// c, _, err := websocket.DefaultDialer.Dial("wss://synthorai.io/v1/realtime?model=gemini-3.1-flash-live", h) // 取消注释此行,注释上一行
if err != nil {
panic(err)
}
defer c.Close()
// configure the speech-to-speech session, send audio, request a spoken reply
c.WriteJSON(map[string]any{"type": "session.update", "session": map[string]any{
"type": "realtime", "output_modalities": []string{"audio"},
"audio": map[string]any{"output": map[string]any{"voice": "alloy"}}}})
c.WriteJSON(map[string]any{"type": "input_audio_buffer.append", "audio": pcm16B64})
c.WriteJSON(map[string]any{"type": "input_audio_buffer.commit"})
c.WriteJSON(map[string]any{"type": "response.create"})
for {
var ev struct {
Type string `json:"type"`
Delta string `json:"delta"`
}
if err := c.ReadJSON(&ev); err != nil {
return
}
if ev.Type == "response.audio.delta" {
playAudio(ev.Delta) // base64 audio out
} else if ev.Type == "response.done" {
return
}
}
}import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.WebSocket;
import java.util.concurrent.CompletionStage;
// JDK built-in WebSocket — no extra dependency needed.
WebSocket ws = HttpClient.newHttpClient().newWebSocketBuilder()
.header("Authorization", "Bearer sk-syn-...")
// Send ONLY the Authorization header — the beta protocol is retired.
.buildAsync(URI.create("wss://synthorai.io/v1/realtime?model=gemini-2.5-flash-native-audio"), new WebSocket.Listener() {
// .buildAsync(URI.create("wss://synthorai.io/v1/realtime?model=gemini-3.1-flash-live"), new WebSocket.Listener() { // 取消注释此行,注释上一行
public CompletionStage<?> onText(WebSocket w, CharSequence data, boolean last) {
// handle response.audio.delta (base64 audio out) / response.done here
w.request(1);
return null;
}
}).join();
// configure the session, send input audio, then request a spoken reply
ws.sendText("{\"type\":\"session.update\",\"session\":{\"type\":\"realtime\",\"output_modalities\":[\"audio\"],\"audio\":{\"output\":{\"voice\":\"alloy\"}}}}", true);
ws.sendText("{\"type\":\"input_audio_buffer.append\",\"audio\":\"<base64-pcm16>\"}", true);
ws.sendText("{\"type\":\"input_audio_buffer.commit\"}", true);
ws.sendText("{\"type\":\"response.create\"}", true);常见问题
gemini-2.5-flash-native-audio 和 gemini-3.1-flash-live 哪个更便宜?
它们列出的 音频输入 / 1m tokens 相同($3),因此价格不是这一项的决定因素——请参考下文的规格与能力。
我可以在不进行两次集成的情况下,对 gemini-2.5-flash-native-audio 和 gemini-3.1-flash-live 进行 A/B 测试吗?
可以。两者均通过同一个兼容 OpenAI 的端点提供服务,并使用同一把 API 密钥——切换只需更改一行模型字符串,因此你可以将一部分流量路由到各个模型并直接比较账单。
gemini-2.5-flash-native-audio 和 gemini-3.1-flash-live 支持提示词缓存吗?
我们的信息流中仅列出了两者之一的缓存读取定价;如果缺少费率,则说明该提供商没有对缓存读取单独定价。