Pinned Tweet
What's your way of showing you care?
In Seoul, it can sound like "Have you eaten?"
In Moscow, like "Put your hat on, it's minus twenty out."
In Tbilisi, like a toast to the guests.
We built Simba 3.5 to connect people in 48 languages, spoken like a local. Out today.
Sound on.
In Seoul, it can sound like "Have you eaten?"
In Moscow, like "Put your hat on, it's minus twenty out."
In Tbilisi, like a toast to the guests.
We built Simba 3.5 to connect people in 48 languages, spoken like a local. Out today.
Sound on.
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SpeechifyAI retweeted
Meet Simba 3.5: one model, 48 languages, streaming-native. Compatible with every voice, including cloned voices.
Congrats to the @SpeechifyAI team, we're proud to be your partner for inference!
Congrats to the @SpeechifyAI team, we're proud to be your partner for inference!
What's your way of showing you care?
In Seoul, it can sound like "Have you eaten?"
In Moscow, like "Put your hat on, it's minus twenty out."
In Tbilisi, like a toast to the guests.
We built Simba 3.5 to connect people in 48 languages, spoken like a local. Out today.
Sound on.
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For developers: one model id, simba-3.5. Set the language on the request, and every voice in the catalog speaks all 48, including one you cloned.
Launch price: half off until 21 Nov.
The request and the full list: speechify.ai/blog/simba-3-5…
Launch price: half off until 21 Nov.
The request and the full list: speechify.ai/blog/simba-3-5…
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In blind side-by-side listening, English listeners preferred Simba 3.5 over Simba 3.2 63% of the time.
The fact sheet: speechify.ai/reports/simba-…
The fact sheet: speechify.ai/reports/simba-…
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For developers: one model id, simba-3.5. Set the language on the request, and every voice in the catalog speaks all 48, including one you cloned.
Launch price: half off until 21 Nov.
The request and the full list: speechify.ai/blog/simba-3-5…
Launch price: half off until 21 Nov.
The request and the full list: speechify.ai/blog/simba-3-5…
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In blind side-by-side listening, English listeners preferred Simba 3.5 over Simba 3.2 63% of the time.
The fact sheet: speechify.ai/reports/simba-…
The fact sheet: speechify.ai/reports/simba-…
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SpeechifyAI now takes text over a WebSocket as your LLM writes it, and speaks each sentence the moment it is complete. Measured from US East on 9 Oct 2026, the first word was audible 49 ms after the LLM finished its first sentence.
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No sentence splitter or request queue on your side. How it works, and every session we timed: speechify.ai/blog/websocket…
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We timed 13 text-to-speech endpoints from US East on 9 Oct 2026 and published every request.
Simba 3.2 had the lowest first audible audio of the 13: a median of 47 ms over our WebSocket, 64 ms over HTTP.
Simba 3.2 had the lowest first audible audio of the 13: a median of 47 ms over our WebSocket, 64 ms over HTTP.
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Our Text-to-Speech API can now limit or block one end user of your app, not your whole account.
Send safety_identifier, a hash of your own user id, and ask us to cap or block that user. They get a 429 or a 403; your other users never notice.
Send safety_identifier, a hash of your own user id, and ask us to cap or block that user. They get a 429 or a 403; your other users never notice.
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On 13 Oct 2026, none of the seven other TTS APIs we checked documented a way to do this. How it works: speechify.ai/blog/tts-api-p…
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$91 a month for 10M characters of text to speech on SpeechifyAI, subscription included. Among per-character prices the next is $150, and ElevenLabs v3 is $800.
Priced from each vendor's page on 28 Sep 2026. The post puts every model's blind-listening score beside its price.
Priced from each vendor's page on 28 Sep 2026. The post puts every model's blind-listening score beside its price.
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The full table, the arithmetic for every cell and the sources: speechify.ai/blog/tts-api-p…
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SpeechifyAI retweeted
SpeechifyAI's Simba 3.2 is now the fastest model on the @voicearena_ai US English 🇺🇸 latency board: 123.0 ms to first audio at the median, climbing from #9 at 392.5 ms in its earlier series.
SpeechifyAI shipped serving-side updates, our latest measurement series picked them up, That is exactly what measuring in public is for.
At 123.0 ms it sits 45.5 ms ahead of Inworld TTS 2 at 168.5, more than three times faster than its own earlier number, and with a quality rank range of 6 to 8 on the same 20-model board it joins the quality-versus-speed frontier.
Rank the board by TTFA yourself → voicearena.com/tts-leaderboar…
Congratulations to @SpeechifyAI 👏
SpeechifyAI shipped serving-side updates, our latest measurement series picked them up, That is exactly what measuring in public is for.
At 123.0 ms it sits 45.5 ms ahead of Inworld TTS 2 at 168.5, more than three times faster than its own earlier number, and with a quality rank range of 6 to 8 on the same 20-model board it joins the quality-versus-speed frontier.
Rank the board by TTFA yourself → voicearena.com/tts-leaderboar…
Congratulations to @SpeechifyAI 👏
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SpeechifyAI retweeted
Two independent benchmarks in two days, both put Simba 3.2 at blazing fast speeds, while being top for benchmark quality and 10x more affordable than labs.
Coval measured Simba 3.2 at 106 ms to first audio, Voice Arena at 123 ms, the fastest on their US English board. Same code change. Chart: Voice Arena
Coval measured Simba 3.2 at 106 ms to first audio, Voice Arena at 123 ms, the fastest on their US English board. Same code change. Chart: Voice Arena
SpeechifyAI's Simba 3.2 is now the fastest model on the @voicearena_ai US English 🇺🇸 latency board: 123.0 ms to first audio at the median, climbing from #9 at 392.5 ms in its earlier series.
SpeechifyAI shipped serving-side updates, our latest measurement series picked them up, That is exactly what measuring in public is for.
At 123.0 ms it sits 45.5 ms ahead of Inworld TTS 2 at 168.5, more than three times faster than its own earlier number, and with a quality rank range of 6 to 8 on the same 20-model board it joins the quality-versus-speed frontier.
Rank the board by TTFA yourself → voicearena.com/tts-leaderboar…
Congratulations to @SpeechifyAI 👏
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Two independent benchmarks in two days: @covaldev measured Simba 3.2 at 106 ms to first audio, @voicearena_ai at 123 ms, the fastest on their US English board.
Same voices, same price, no code change. Chart: Voice Arena
x.com/voicearena_ai/…
Same voices, same price, no code change. Chart: Voice Arena
x.com/voicearena_ai/…
SpeechifyAI's Simba 3.2 is now the fastest model on the @voicearena_ai US English 🇺🇸 latency board: 123.0 ms to first audio at the median, climbing from #9 at 392.5 ms in its earlier series.
SpeechifyAI shipped serving-side updates, our latest measurement series picked them up, That is exactly what measuring in public is for.
At 123.0 ms it sits 45.5 ms ahead of Inworld TTS 2 at 168.5, more than three times faster than its own earlier number, and with a quality rank range of 6 to 8 on the same 20-model board it joins the quality-versus-speed frontier.
Rank the board by TTFA yourself → voicearena.com/tts-leaderboar…
Congratulations to @SpeechifyAI 👏
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