#Microsoft

AIAnthropic has released Claude Haiku 5.5, its cheapest and fastest small model, priced at $0.10 per million input tokens and $0.50 per million output tokens for prompts up to 100K tokens. It keeps a 1M token context window, up to 128K output tokens, and is generally available on the Claude API, Amazon Bedrock, Google Cloud, Microsoft Foundry and Claude Platform on AWS. Anthropic reports 72.4% on OSWorld 2.1 (offline subset) versus 15.7% for Haiku 4.5, and the article notes that non-default temperature, top_p or top_k values return a 400 error.

AIAnthropic has released Claude Haiku 5.5, available now across all platforms including Amazon Web Services, Google Cloud, and Microsoft Azure. The post links to Anthropic's announcement page for further details.

AIMicrosoft AI launched MAI-Transcribe-2-Streaming, which Artificial Analysis ranks #1 of 38 models for final transcript accuracy at 2.5% WER, returned 0.13s after end of speech. Artificial Analysis lists its streaming price at $0.54 per hour of audio, at the higher end among leading streaming models. Microsoft's post claims the model is 55% faster and 60% cheaper than ElevenLabs and invites developers to build agents on its platform.

AIMicrosoft AI says three models are available today, with more details provided in a linked post. The post does not name the models or give specifications, benchmarks, or pricing.

AIMicrosoft AI announced three new models: MAI-Transcribe-2-Streaming, MAI-Voice-2.1, and MAI-Voice-2.1-Flash. The source says the streaming transcription model is accurate and aims for natural speech with less waiting between conversational turns for building voice agents.

AIMicrosoft AI reports its image model rose from 864 to 1147 Elo in nine months, a gain of 377 points per year. The company says that pace is 1.6 times the next-fastest climb on the leaderboard. The post does not name the model.

AIMustafa Suleyman points readers to a Microsoft AI page about the MAI-Transcribe-2 model. The post itself gives no details on capabilities, benchmarks, or availability beyond the link.

AIMicrosoft's Mustafa Suleyman shared a link to try MAI-Transcribe-2 on OpenRouter. The post provides no further details on the model's capabilities, specifications, or pricing.

AIMustafa Suleyman says Microsoft launched eight new models in two months, with five debuting at #1 on their respective leaderboards. MAI-Transcribe-2 is described as the fastest, most accurate, and cheapest transcription model, while MAI-Image 2.5, 2.6, and 2.6 Flash debuted at #1 on the Artificial Analysis leaderboard. MAI-Code-1.1-Flash, launched in GitHub Copilot four weeks ago, now accounts for a third of small-model traffic there.

AIMicrosoft AI's MAI-Image-2.6 and the new MAI-Image-2.6-Flash are reported to set a new quality/price Pareto frontier for image editing on Artificial Analysis. Both models are now available in Microsoft Foundry.

AIMicrosoft's MAI-Image-2.6-Flash generates images 2x faster than GPT-Image-2, which the post calls the best model in the world. It also uses 72% less GPU, enabling a lower price and what the post describes as the best price-performance score.

AIMicrosoft AI says its MAI-Image-2.6-Flash offers the best price-to-quality ratio in the world. The post gives no pricing, benchmark, or speed figures to support the claim.

AIMicrosoft AI's MAI-Transcribe-2 is a transcription model that the company says offers the highest quality and lowest price at the fastest speed. Microsoft claims it runs 10x faster than GPT-Transcribe, and it is now available on Microsoft Foundry.

AIMicrosoft Research released GigaPath-Flash and GigaTIME-Flash, efficient pathology foundation models built on a distilled ViT-S backbone and released under the Apache 2.0 license. GigaPath-Flash, with 22M-parameter tile and 21M-parameter slide encoders, reportedly scores within 3% of the original GigaPath on PANDA and EBRAINS benchmarks at roughly 50 times less compute. The models are research tools, not validated for clinical use.

AIMicrosoft Research has updated Skala to version 1.1, a deep-learning exchange-correlation functional for computational chemistry. The release is described as offering greater accuracy, broader accessibility across the computational chemistry ecosystem, and a living benchmark for tracking computational performance.

AIMicrosoft AI is inviting users to try an unnamed model on MAI Playground starting today. The post provides no model name, version, benchmark results, or availability details beyond a link to the playground.

AIMicrosoft AI introduced MAI-Image-2.6, its latest image model, which can modify color, style, and visual details while maintaining consistency across iterations. The post positions it as a tool for bringing mood boards to life.

AIMicrosoft's MAI-Image model now ranks third on Arena's image editing leaderboard. The latest MAI-Image model is available in Private Preview on Microsoft Foundry.