←Search results

Search “Google”

By relevance · Total 340 results Clear search

Tuesday

Sunday

  3. Story19 reports · 4 facts

    Anthropic releases Claude Opus 5.5

    On September 22, 2026, Anthropic released Claude Opus 5.5. According to official materials, the model ranks first on Artificial Analysis's Intelligence Index v4.3 with a score of 58, 7 points higher than Claude Opus 5, and tops Vals AI's Vals Index at 69.69%; it supports up to 1 million tokens of input and 128,000 tokens of output, with reasoning enabled by default across five levels, and API pricing at $4/$0.25/$20 per million input/cached/output tokens. Earlier reports said its output price was $20 per million tokens, lower than the previous generation's $25. On September 23, Yuchen Jin said it was about 30% faster and about 40% cheaper per task than Opus 5. On September 25, Thomas Wolf said he used Opus 5.5 to generate a video from a Google Doc. On October 4, Ado Kukic said that using Opus 5.5 at medium and high effort he did not hit the 5-hour limit, using at most about 74% in a single session. On October 9, Ado again said that the weekend after Opus 5.5's release was his most productive coding day of the year so far. During the same period, Anthropic also released Sonnet 5.5 and Haiku 5.5, and lowered Sonn

    On September 23, Yuchen Jin said it was about 30% faster and about 40% cheaper per task than Opus 5. On September 25, Thomas Wolf said he used Opus 5.5 to generate a video from a Google Doc. On October 4, Ado Kukic said that using Opus 5.5 at medium and high effort he did not hit the 5-hour limit, using at most about 74% in a single session. On October 9, Ado again said that the weekend after Opus 5.5's release was his most productive coding day of the year so far. During the same period, Anthr

    Matched fieldsSummary

Tuesday

Saturday

  1. Story1 reports · 1 facts

    NVIDIA releases on-device small model Nemotron-3.5-Bolt-E4B

    NVIDIA releases the on-device small model Nemotron-3.5-Bolt-E4B. A report on October 23, 2026 states that the model can run locally on devices with 6GB of memory, targeting on-device devices such as phones; it is trained based on Gemma 4, supports vision, and Unsloth simultaneously provides the GGUF file and a guide link. NVIDIA says it targets scenarios such as local assistants, interactive characters, and robots that can converse and call tools. A follow-up report on October 24 states that the model has 8B total parameters, 4B effective parameters, and a 64K context, and is post-trained using only reinforcement learning based on Google Gemma 4 E4B; the Q4_K_M version occupies 3.1 to 4.3 GB of VRAM on RTX and can run on GeForce RTX, Jetson, and DGX Spark. The report also states that in NVIDIA's own testing, it leads Gemma 4 E4B, Qwen3.5-4B, and Nemotron 3 Nano 4B in 15 of 21 benchmarks, but Tau2-Bench is 55.1, trailing Qwen3.5-4B's 75.1.

    A follow-up report on October 24 states that the model has 8B total parameters, 4B effective parameters, and a 64K context, and is post-trained using only reinforcement learning based on Google Gemma 4 E4B; the Q4 K M version occupies 3.1 to 4.3 GB of VRAM on RTX and can run on GeForce RTX, Jetson, and DGX Spark. The report also states that in NVIDIA's own testing, it leads Gemma 4 E4B, Qwen3.5-4B, and Nemotron 3 Nano 4B in 15 of 21 benchmarks, but Tau2-Bench is 55.1, trailing Qwen3.5-4B's 75.1.

    Matched fieldsSummary

Wednesday

Friday

  1. FactRelated story

    Google launches Gemini 4 Argon

    On October 16, 2026, Google released its flagship model Gemini 4 Argon, focused on coding, professional knowledge work, and sustained execution of complex tasks. According to QbitAI, its API launch price is $2 per million input tokens and $10 for output, with the discount running through November 30 and reverting to $4 and $20 starting December 1. On the third-party Artificial Analysis Intelligence Index, Argon High ties with GPT-6 Astra Max and Claude Fable5.1 Max at 53 points, at an average cost of $1.99 per task, roughly 39% lower than Astra. Google says that on an ADK project it worked unattended continuously for 11 hours, proposed six optimization plans involving 32 files and ran all 16,892 tests, two of which were merged, cutting long-session memory preparation overhead by about 40%. There are currently no further developments.

    Matched fieldsSummary

    View story:Google launches Gemini 4 Argon

Wednesday

  1. Story9 reports · 2 facts

    Gemini 4 Argon appears on the GCP quota page

    On October 13, 2026, Gemini 4 Argon appeared on the GCP quota page. Testing Catalog, citing AiBattle, said the model was expected to launch within a few hours and called it a precursor to an imminent API model release; earlier that day, a Google employee had also teased an upcoming release. That evening, Testing Catalog reported that the model had begun rolling out and was already live in GCP's Agent Studio, where users could test it, with Google AI Studio and the Gemini app expected to follow. On October 14, Google officially released Gemini 4 Argon, open to developers and enterprises worldwide, usable via AI Studio and the Gemini platform API, and supported in Google Antigravity as well as the Gemini app and Search AI Mode for Ultra and Pro subscribers; reports said it supports long decoding output of up to 1,048,576 tokens and announced limited-time introductory pricing.

    ta page. Testing Catalog, citing AiBattle, said the model was expected to launch within a few hours and called it a precursor to an imminent API model release; earlier that day, a Google employee had also teased an upcoming release. That evening, Testing Catalog reported that the model had begun rolling out and was already live in GCP's Agent Studio, where users could test it, with Google AI Studio and the Gemini app expected to follow. On October 14, Google officially released Gemini 4 Argon, o

    Matched fieldsSummary

Tuesday

Thursday

Wednesday

Thursday

Thursday