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Over the past six months, we shipped 30+ models, features, and upgraded tools for the API. Our changelog has been busy. Here’s what you may have missed for the API: New models • GPT-5.5 • GPT-5.4 mini • GPT-5.4 nano • GPT-Realtime-2 • GPT-Realtime-Whisper • GPT-Realtime-Translate • GPT-Image-2 Agent... show more

OpenAI Developers

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160,100 次观看 • 3 个月前 •via X (Twitter)

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Introducing GPT-Realtime-2 in the API: our most intelligent voice model yet, bringing GPT-5-class reasoning to voice agents. Voice agents are now real-time collaborators that can listen, reason, and solve complex problems as conversations unfold. Now available in the API alongside streaming models GPT-Realtime-Translate and GPT-Realtime-Whisper — a new set of audio capabilities for the next generation of voice interfaces.

Introducing GPT-Realtime-2 in the API: our most intelligent voice model yet, bringing GPT-5-class reasoning to voice agents. Voice agents are now real-time collaborators that can listen, reason, and solve complex problems as conversations unfold. Now available in the API alongside streaming models GPT-Realtime-Translate and GPT-Realtime-Whisper — a new set of audio capabilities for the next generation of voice interfaces.

OpenAI

3,666,577 次观看 • 4 个月前

Starting today, Azure AI Foundry is rolling out new multimodal models from OpenAI: GPT-Image-1-mini, GPT-realtime-mini, and GPT-audio-mini, plus major GPT-5 upgrades (including GPT-5-Pro). This joins the Microsoft Agent Framework, enabling customers to build agents across multiple modes in one secure integrated ecosystem. 🔗 Learn more:

Starting today, Azure AI Foundry is rolling out new multimodal models from OpenAI: GPT-Image-1-mini, GPT-realtime-mini, and GPT-audio-mini, plus major GPT-5 upgrades (including GPT-5-Pro). This joins the Microsoft Agent Framework, enabling customers to build agents across multiple modes in one secure integrated ecosystem. 🔗 Learn more:

Microsoft Azure

79,239 次观看 • 11 个月前

🎥 Sora 2 and Sora 2 Pro are now in the API. And new image and speech-to-speech models that are cheaper than their full-sized counterparts, but with similar quality: 📸 gpt-image-1-mini (80% cheaper) 🗣️ gpt-realtime-mini (70% cheaper)

🎥 Sora 2 and Sora 2 Pro are now in the API. And new image and speech-to-speech models that are cheaper than their full-sized counterparts, but with similar quality: 📸 gpt-image-1-mini (80% cheaper) 🗣️ gpt-realtime-mini (70% cheaper)

OpenAI Developers

192,261 次观看 • 11 个月前

OPENAI 🔥: GPT-Live-1 is now available on the API and OpenAI Platform! > "GPT‑Live‑1 brings ChatGPT’s natural, full-duplex conversations to the API, with more control over how voice agents speak and act." This lets users build apps and workflows powered by bidirectional voice mode that can delegate tasks to other models. The UI is cool 👀

OPENAI 🔥: GPT-Live-1 is now available on the API and OpenAI Platform! > "GPT‑Live‑1 brings ChatGPT’s natural, full-duplex conversations to the API, with more control over how voice agents speak and act." This lets users build apps and workflows powered by bidirectional voice mode that can delegate tasks to other models. The UI is cool 👀

🚨 AI News | TestingCatalog

19,916 次观看 • 12 天前

The Realtime API is officially out of beta and ready for your production voice agents! We’re also introducing gpt-realtime—our most advanced speech-to-speech model yet—plus new voices and API capabilities: 🔌 Remote MCPs 🖼️ Image input 📞 SIP phone calling ♻️ Reusable prompts

The Realtime API is officially out of beta and ready for your production voice agents! We’re also introducing gpt-realtime—our most advanced speech-to-speech model yet—plus new voices and API capabilities: 🔌 Remote MCPs 🖼️ Image input 📞 SIP phone calling ♻️ Reusable prompts

OpenAI Developers

562,211 次观看 • 1 年前

The week in OpenAI and Anthropic news (Week 19, 2026) OpenAI rolled out GPT-5.5 Instant as the new ChatGPT default model with memory sources and ChatGPT for Excel and Google Sheets globally, launched three new realtime voice models in the API (GPT-Realtime-2, GPT-Realtime-Translate, GPT-Realtime-Whisper) and an OpenAI CLI, introduced Trusted Contact safety feature, GPT-5.5-Cyber for defenders, B2B Signals report, ChatGPT Futures Class of 2026, EMEA youth safety blueprint, privacy in model training explainer, expanded ads pilot, published engineering posts on low-latency voice, MRC supercomputer networking, running Codex safely internally, and investigating accidental chain-of-thought grading during reinforcement learning, plus discovered ChatGPT Personal Wiki and dropped a goblin-themed merch line that sold out Anthropic hosted Code with Claude developer conference in San Francisco, announced a new enterprise AI services company with Blackstone, Hellman & Friedman, and Goldman Sachs, signed a SpaceX compute partnership and raised Claude Code and API usage limits, made Claude for Excel, PowerPoint, and Word generally available with Claude for Outlook in beta, launched Workload Identity Federation, financial services agent templates, dreaming, outcomes, and multiagent orchestration in Managed Agents, shipped 60+ Claude Code reliability fixes, published research on agentic misalignment training, sandbagging mitigation, model spec midtraining, and Natural Language Autoencoders, donated Petri to Meridian Labs, introduced The Anthropic Institute research agenda, plus discovered Orbit proactive assistant for Cowork and /radio command in Claude Code, and more

The week in OpenAI and Anthropic news (Week 19, 2026) OpenAI rolled out GPT-5.5 Instant as the new ChatGPT default model with memory sources and ChatGPT for Excel and Google Sheets globally, launched three new realtime voice models in the API (GPT-Realtime-2, GPT-Realtime-Translate, GPT-Realtime-Whisper) and an OpenAI CLI, introduced Trusted Contact safety feature, GPT-5.5-Cyber for defenders, B2B Signals report, ChatGPT Futures Class of 2026, EMEA youth safety blueprint, privacy in model training explainer, expanded ads pilot, published engineering posts on low-latency voice, MRC supercomputer networking, running Codex safely internally, and investigating accidental chain-of-thought grading during reinforcement learning, plus discovered ChatGPT Personal Wiki and dropped a goblin-themed merch line that sold out Anthropic hosted Code with Claude developer conference in San Francisco, announced a new enterprise AI services company with Blackstone, Hellman & Friedman, and Goldman Sachs, signed a SpaceX compute partnership and raised Claude Code and API usage limits, made Claude for Excel, PowerPoint, and Word generally available with Claude for Outlook in beta, launched Workload Identity Federation, financial services agent templates, dreaming, outcomes, and multiagent orchestration in Managed Agents, shipped 60+ Claude Code reliability fixes, published research on agentic misalignment training, sandbagging mitigation, model spec midtraining, and Natural Language Autoencoders, donated Petri to Meridian Labs, introduced The Anthropic Institute research agenda, plus discovered Orbit proactive assistant for Cowork and /radio command in Claude Code, and more

Tibor Blaho

12,602 次观看 • 4 个月前

We are continually adding new models and endpoints to the Runway API so you can build the best generative capabilities directly into your apps, products and platforms. With the Runway API, you get all of the models you need, all in one place. Including Seedance 2.0, GPT Image 2, HappyHorse 1.0, Nano Banana Pro, Magnific Precision Upscaler V2 and more. Get started at the link below.

We are continually adding new models and endpoints to the Runway API so you can build the best generative capabilities directly into your apps, products and platforms. With the Runway API, you get all of the models you need, all in one place. Including Seedance 2.0, GPT Image 2, HappyHorse 1.0, Nano Banana Pro, Magnific Precision Upscaler V2 and more. Get started at the link below.

Runway

17,217 次观看 • 3 个月前

🏆 Congrats to our NY Tech Week Hackathon Winners! 🥇 SEEYUH — @versatilitylab Built a zero-day vulnerability research system that uses the Agents SDK + o4-mini to orchestrate agent-based security analysis. (Demo below.) 🥈 Level Up — Adam Anzuoni & Kirk Kaiser Gamified employee onboarding with multimodal adventures powered by the Agents SDK, Realtime API, gpt-image-1, and o3. 🥉 Scotty — Faizan Created an AI interviewer for system design questions—interviewees respond via voice and sketch. Built with the Agents SDK + Realtime API.

🏆 Congrats to our NY Tech Week Hackathon Winners! 🥇 SEEYUH — @versatilitylab Built a zero-day vulnerability research system that uses the Agents SDK + o4-mini to orchestrate agent-based security analysis. (Demo below.) 🥈 Level Up — Adam Anzuoni & Kirk Kaiser Gamified employee onboarding with multimodal adventures powered by the Agents SDK, Realtime API, gpt-image-1, and o3. 🥉 Scotty — Faizan Created an AI interviewer for system design questions—interviewees respond via voice and sketch. Built with the Agents SDK + Realtime API.

OpenAI Developers

39,223 次观看 • 1 年前

OpenAI shipped a new speech-to-speech model today: gpt-realtime-2 This is the first speech-to-speech model good enough to use in my voice agents that do "real work." Or real play, for that matter. Here's gpt-realtime-2 as the brain of the ship AI in Gradient Bang. The voice-to-voice response and tool calling times here are unedited, so you can see exactly what the interaction with the model is like in an agent with a very complex system instruction and frequent tool calls. (I did clip out the subagent task execution segments, after gpt-realtime-2 starts a subagent via a tool call. Subagents in this config used gpt-5.2 "medium" effort.)

OpenAI shipped a new speech-to-speech model today: gpt-realtime-2 This is the first speech-to-speech model good enough to use in my voice agents that do "real work." Or real play, for that matter. Here's gpt-realtime-2 as the brain of the ship AI in Gradient Bang. The voice-to-voice response and tool calling times here are unedited, so you can see exactly what the interaction with the model is like in an agent with a very complex system instruction and frequent tool calls. (I did clip out the subagent task execution segments, after gpt-realtime-2 starts a subagent via a tool call. Subagents in this config used gpt-5.2 "medium" effort.)

kwindla

55,222 次观看 • 4 个月前

only video you need to see what OpenAI released today at DevDay 2025! > apps sdk → build native apps inside ChatGPT > agentkit → openai’s version of n8n > chatkit, evals > more powerful codex > new models in the API → sora 2, gpt-5-pro

only video you need to see what OpenAI released today at DevDay 2025! > apps sdk → build native apps inside ChatGPT > agentkit → openai’s version of n8n > chatkit, evals > more powerful codex > new models in the API → sora 2, gpt-5-pro

Tushar Mehta

13,762 次观看 • 11 个月前

GPT Image 2 is UNLIMITED FREE for new AITOPIA customers. For today’s launch only, customers who join and subscribe to a plan within the next 24 hours get GPT Image 2 UNLIMITED FREE in their first 4 hours. Access latest AI models and agents in one subscription on AITOPIA. Trusted by more than 3 million users, together with 150+ AI Agents, 500+ AI models. Subscribe now. Don’t miss this offer before ends. Explore GPT Image 2 on AITOPIA.

GPT Image 2 is UNLIMITED FREE for new AITOPIA customers. For today’s launch only, customers who join and subscribe to a plan within the next 24 hours get GPT Image 2 UNLIMITED FREE in their first 4 hours. Access latest AI models and agents in one subscription on AITOPIA. Trusted by more than 3 million users, together with 150+ AI Agents, 500+ AI models. Subscribe now. Don’t miss this offer before ends. Explore GPT Image 2 on AITOPIA.

AITOPIA

265,761 次观看 • 4 个月前

II-Agent has some new features to supercharge your workflow! Support for the latest models (Opus 4.6, GPT-5.2/5.4, Gemini 3.1) Rapid infographics via Nano Banana 2 + conversational Live Editing mode Create & deploy mobile apps from a single text prompt If you can imagine it, you can build it 🛠️

II-Agent has some new features to supercharge your workflow! Support for the latest models (Opus 4.6, GPT-5.2/5.4, Gemini 3.1) Rapid infographics via Nano Banana 2 + conversational Live Editing mode Create & deploy mobile apps from a single text prompt If you can imagine it, you can build it 🛠️

Intelligent Internet

10,190 次观看 • 6 个月前

Databricks is excited to partner with OpenAI on GPT-5.5, their latest frontier model. GPT-5.5 will be available in Unity AI Gateway on launch. You can use it with coding tools such as Codex, or to power your enterprise agents. GPT-5.5 is state-of-the-art on many benchmarks including OfficeQA Pro, our benchmark for evaluating grounded reasoning on enterprise tasks. We are partnering with OpenAI to co-launch on Databricks. Hear more from our co-founder Patrick Wendell and OpenAI CRO Denise Holland Dresser on GPT-5.5 in Databricks.

Databricks is excited to partner with OpenAI on GPT-5.5, their latest frontier model. GPT-5.5 will be available in Unity AI Gateway on launch. You can use it with coding tools such as Codex, or to power your enterprise agents. GPT-5.5 is state-of-the-art on many benchmarks including OfficeQA Pro, our benchmark for evaluating grounded reasoning on enterprise tasks. We are partnering with OpenAI to co-launch on Databricks. Hear more from our co-founder Patrick Wendell and OpenAI CRO Denise Holland Dresser on GPT-5.5 in Databricks.

Databricks

12,917 次观看 • 5 个月前

We're introducing two new transcription models in the API: • GPT-Live-Transcribe: built for low-latency live transcription. • GPT-Transcribe: optimized for asynchronous transcription of completed audio files and batch workloads. Both models better understand context and deliver more accurate transcription on real world audio across accents and languages, including for short phrases, numbers, specialized terminology, and speech with loud background noise.

We're introducing two new transcription models in the API: • GPT-Live-Transcribe: built for low-latency live transcription. • GPT-Transcribe: optimized for asynchronous transcription of completed audio files and batch workloads. Both models better understand context and deliver more accurate transcription on real world audio across accents and languages, including for short phrases, numbers, specialized terminology, and speech with loud background noise.

OpenAI Developers

454,650 次观看 • 1 个月前

Introducing Rork AI Cloud Rork can now use any of the 150+ models and one-shot almost any AI app, even Higgsfield. Take full control over which model your app uses: a movie maker on Kling 3.0, a photo studio on GPT-Image 2, an AI tutor on GPT-5.5, or a voice assistant on ElevenLabs. No API keys needed.

Introducing Rork AI Cloud Rork can now use any of the 150+ models and one-shot almost any AI app, even Higgsfield. Take full control over which model your app uses: a movie maker on Kling 3.0, a photo studio on GPT-Image 2, an AI tutor on GPT-5.5, or a voice assistant on ElevenLabs. No API keys needed.

Rork

246,868 次观看 • 4 个月前

GPT-6 Extra High vs. Kimi K3 Swarm - ECHO Start Menu Both models received the exact same prompt. I’m shocked at the quality Kimi K3 was able to output here. Its overall visual quality is above GPT-6’s and even above the menu from the actual game. However, it took significantly longer - around 3.5 hours versus GPT-6’s 42 minutes. Roughly 5× longer. GPT-6’s demo felt more realistic and stayed a lot closer to how the original menu looks. Kimi added something that GPT-6 missed, which was the interactive eye tracking. Kimi’s eyeball follows (albeit blurry and in a slightly weird way) where you click on the start screen. GPT-6’s doesn’t. • GPT-6 Extra High: approximately 46,000 generated output tokens - $2.30 in API-equivalent output cost. • Kimi K3 Swarm: estimated 250,000 generated output tokens - $3.75 in API-equivalent output cost.

GPT-6 Extra High vs. Kimi K3 Swarm - ECHO Start Menu Both models received the exact same prompt. I’m shocked at the quality Kimi K3 was able to output here. Its overall visual quality is above GPT-6’s and even above the menu from the actual game. However, it took significantly longer - around 3.5 hours versus GPT-6’s 42 minutes. Roughly 5× longer. GPT-6’s demo felt more realistic and stayed a lot closer to how the original menu looks. Kimi added something that GPT-6 missed, which was the interactive eye tracking. Kimi’s eyeball follows (albeit blurry and in a slightly weird way) where you click on the start screen. GPT-6’s doesn’t. • GPT-6 Extra High: approximately 46,000 generated output tokens - $2.30 in API-equivalent output cost. • Kimi K3 Swarm: estimated 250,000 generated output tokens - $3.75 in API-equivalent output cost.

Chris

119,846 次观看 • 16 天前

GPT-5.6 vs GPT-5.5 on my custom spaceship prompt. I gave both models the exact same custom prompt. This is also the same prompt I previously gave to Fable 5. For context, GPT-5.6 Pro worked for 87 minutes, while GPT-5.5 Extra High worked for 34 minutes and 42 seconds. As I’ve said before, based on great authority GPT-5.6 will be an incremental/soldi improvement over GPT-5.5, not a “Fable killer.” My rough expectation has been that it would trade blows with Fable 5 on some benchmarks, maybe win around half depending on the category, but not clearly surpass it overall. And again fable five will have bigger model smell, but this was expected. After testing this coding output, that view feels pretty accurate. GPT-5.6 is clearly better than GPT-5.5 in several visual areas. The lighting, shading, chairs, object details, and exterior of the spaceship looked noticeably stronger. The scene was also easier to test. I do want to give GPT-5.5 credit though. It built out the rooms much much better and the planets looked better than GPT-5.6’s. It was also interesting that both GPT-5.5 and GPT-5.6 produced better-looking planets than Fable 5 in this specific test. The downside with GPT-5.5 was stability. The game was much glitchier and harder to test compared to GPT-5.6. But when it comes to the core of the demo, which is the spaceship itself, Fable 5 still beat both models pretty comfortably. GPT-5.6 is impressive, but from this test, it looks exactly like what I expected which was a meaningful incremental improvement over GPT-5.5, at least for indie game demos, but not something that replaces Fable 5. In collaboration with Chetaslua

GPT-5.6 vs GPT-5.5 on my custom spaceship prompt. I gave both models the exact same custom prompt. This is also the same prompt I previously gave to Fable 5. For context, GPT-5.6 Pro worked for 87 minutes, while GPT-5.5 Extra High worked for 34 minutes and 42 seconds. As I’ve said before, based on great authority GPT-5.6 will be an incremental/soldi improvement over GPT-5.5, not a “Fable killer.” My rough expectation has been that it would trade blows with Fable 5 on some benchmarks, maybe win around half depending on the category, but not clearly surpass it overall. And again fable five will have bigger model smell, but this was expected. After testing this coding output, that view feels pretty accurate. GPT-5.6 is clearly better than GPT-5.5 in several visual areas. The lighting, shading, chairs, object details, and exterior of the spaceship looked noticeably stronger. The scene was also easier to test. I do want to give GPT-5.5 credit though. It built out the rooms much much better and the planets looked better than GPT-5.6’s. It was also interesting that both GPT-5.5 and GPT-5.6 produced better-looking planets than Fable 5 in this specific test. The downside with GPT-5.5 was stability. The game was much glitchier and harder to test compared to GPT-5.6. But when it comes to the core of the demo, which is the spaceship itself, Fable 5 still beat both models pretty comfortably. GPT-5.6 is impressive, but from this test, it looks exactly like what I expected which was a meaningful incremental improvement over GPT-5.5, at least for indie game demos, but not something that replaces Fable 5. In collaboration with Chetaslua

Chris

250,919 次观看 • 3 个月前