Artificial Analysis
PulseAugur coverage of Artificial Analysis — every cluster mentioning Artificial Analysis across labs, papers, and developer communities, ranked by signal.
- developed FrontierCode 95%
- developed Optima 95%
- instance of Qwen-Audio-3.0-TTS-Plus 95%
- instance of Fun-Realtime-TTS 95%
- instance of GPT -6 Astra 90%
- instance of Kimi K3.1 Pro 90%
- instance of Terminal-Bench 4.0 90%
- used by SpaceXAI 90%
- instance of Muse Spark Open 90%
- instance of DeepSeek v4.1 Flash 1017 90%
- used by Muse Model License 90%
- used by Le Chonk 90%
- 2026-06-16 research_milestone Artificial Analysis released an updated version of its Intelligence Index, version 4.1, which includes a greater emphasis on agentic workloads and improved benchmarks. source
27 day(s) with sentiment data
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ElevenLabs launches Scribe v3, beating OpenAI and Google in accuracy
ElevenLabs has launched Scribe v3 and Scribe v3 Live, new speech recognition models that aim to improve transcription accuracy, particularly in noisy environments with crosstalk. Benchmarks indicate Scribe v3 slightly o…
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Gemini 4 Carbon vs. Claude Fable 5.2: Coding performance and cost comparison
Gemini 4 Carbon and Claude Fable 5.2 are compared across various coding benchmarks and pricing models. Fable 5.2 generally leads in long-horizon coding tasks and offers lower costs and faster processing times for high-e…
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Gemini 4 Carbon API migration causes errors and timeouts for developers
Developers migrating to Google's Gemini 4 Carbon API are encountering issues with 400 errors, timeouts, and output limits. The API's request schema differs from previous versions, with certain values now failing validat…
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Gemini 4 Carbon vs. Argon: Google's new model offers larger context, slower first response
Google's Gemini 4 Carbon model offers a larger context window and potentially better performance for certain tasks compared to its predecessor, Argon. While both models share the same introductory pricing, Carbon's enha…
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Kimi API models tested: Older versions outperform latest K3.1 Pro on enterprise tasks
A developer tested eight Kimi API models from Moonshot AI to determine their effectiveness for enterprise tasks like code review and contract extraction. The K2.7 Code Highspeed model completed the task in 8.48 seconds,…
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Meta's Muse Ember AI model launches with low prices but questionable benchmarks
Meta Superintelligence Labs has released Muse Ember, a small multimodal model designed for agent tasks like tool calls and data extraction, with a notably low pricing structure. Despite its affordability, there are disc…
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NaiveAI releases speed-optimized coding model Naive-N0.5-Flash
NaiveAI has released Naive-N0.5-Flash, an open-weights AI model designed for coding tasks and optimized for speed, promising up to 2,100 tokens per second. This model is an evolution of Xiaomi's MiMo-V2.5, further train…
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Google releases advanced Gemini 4 Carbon AI model for complex tasks
Google DeepMind has officially released Gemini 4 Carbon, its most advanced AI model, to the public. This model excels in complex tasks such as long-horizon agentic workflows, scientific reasoning, and cybersecurity capa…
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Meta AI launches Muse Ember, a cost-effective model for high-volume tasks
Meta AI Research has launched Muse Ember, a new, cost-effective model designed for high-volume tasks like tool calls and agentic workflows. Priced at $0.10 per 1M tokens for input and $0.50 for output, Ember is position…
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Anthropic releases Claude Fable 5.2, topping leaderboards with advanced capabilities
Anthropic has released Claude Fable 5.2 and Claude Mythos 5.2, which are reportedly superior to previous models like Opus 5.5 and Gemini 4 Carbon across various benchmarks. Despite a 20% price reduction per token, the n…
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Claude Fable 5.2 scores high on intelligence index but is expensive
Claude Fable 5.2 has achieved a score of 65 on the Artificial Analysis Intelligence Index, positioning it as a top-performing model. Despite its high intelligence, the model is noted for its expensive pricing, with inpu…
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Meta AI launches Muse Ember, an efficient model for agent tasks
Meta AI has launched Muse Ember, a new, highly efficient language model designed for complex reasoning and repetitive agent tasks like tool calls, coding, and document parsing. Priced competitively, it offers superior i…
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OpenAI launches GPT-6.1 Terra at reduced API prices
OpenAI has launched its new GPT-6.1 Terra model, positioning it as a cost-effective option for tasks involving visual reasoning and computer use. The model is priced at $1 per million input tokens and $5 per million out…
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Hugging Face releases comprehensive guide to Mixture of Experts models
Hugging Face has released "The Ultimate MoE Training Handbook," a comprehensive guide to training Mixture of Experts (MoE) models at scale. The handbook covers various aspects of MoE architecture, including model design…
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Thinking Machines Lab releases Inkling 2 Small with 1M context window
Thinking Machines Lab has released Inkling 2 Small, a 594B-parameter mixture-of-experts model featuring image input and a 1M-token context window. While priced competitively per token, its extensive output token usage f…
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Inkling 2 Small multimodal MoE model released on Tinker, Apache weights expected
Thinking Machines Lab has released Inkling 2 Small, a multimodal Mixture-of-Experts model, available on the Tinker platform. The model boasts a 594B total parameter size with 17B active parameters and supports a 256K co…
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Developer benchmarks LLMs for code reviews, finds parsing and routing bugs
A developer benchmarked eight large language models on their company's code review process, discovering that model performance and cost are not the only factors to consider. The benchmark revealed issues with parsing mo…
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Tencent's Hy4 AI model sees tenfold usage surge, tops open-source Agent benchmarks
Tencent's new AI model, Hy4, has seen a tenfold increase in usage, prompting a significant expansion of its inference cluster. The model has also garnered recognition on international benchmarks, ranking second among Ch…
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Google's Gemini 4 Carbon tops AI benchmarks, shows reduced hallucination
Google has unveiled its new AI model, Gemini 4 Carbon, which has achieved the top position on the Artificial Analysis Intelligence Index V5 benchmark, narrowly surpassing Claude Opus 5.5. This new model also demonstrate…
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Artificial Analysis revamps AI model rankings with new index
Artificial Analysis has updated its Intelligence Index v5, significantly altering the AI model rankings. The new index heavily relies on private, unseen test sets (60%) and equally weights Knowledge Work, Coding, Scienc…