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10月1日周四
  1. Rohan Paul65

    Rohan Paul 转引 Google 发布信息称,Gemini 4 Argon 单次响应可输出最多 1M tokens,约为 GPT-6 Astra、Opus 5.5 和 Fable 5.1 的 128K 上限的近 8 倍,此前上限为 64K。作者评价这意义重大,并指出长输出空间让模型能在单次轨迹中深度推理解决复杂问题。

    引用Rohan Paul@rohanpaul_ai

    MASSIVE reveal from Google. Its new flagship, Gemini 4 Argon, outscores GPT-6 Astra and Claude Opus 5.5 on most benchmarks. - beats GPT-6 Astra and Claude Opus 5.5 on some super important industry benchmarks. - its widest lead in legal work, 19.6% on Harvey's Legal Agent Benchmark against 6.7% for Anthropic's Claude Fable 5.1. - output limit jumps from 64K to 1M tokens, an industry-leading ceiling, - Only 3 groups have it today. the first is Google's own staff, vetted cyber defenders such as government agencies and security companies and trusted testers giving Google feedback. - Inside Google, Argon agents freed over 300 TiB of data-center memory, with 500 TiB to 1 PiB of total savings estimated, and made a Rust port of the libgav1 video decoder 2.7x faster by replacing 32K lines of SIMD code.

7月10日周五
5月2日周六
  1. Elon Musk54

    Grok在法律领域排名第一 [引用 @ArthurMacwaters]:Grok 4.3发布 > 判例法领域第一 > 公司金融领域第一 > 考虑到每百万tokens成本显著更低(比opus 4.7和openai 5.5低5-10倍),表现令人印象深刻 看到在高度注重细节的应用领域性能大幅提升,非常令人兴奋

    引用Arthur MacWaters@ArthurMacwaters

    Grok 4.3 release > #1 in caselaw > #1 in corpfin > impressive given significantly lower cost per 1m tokens (5-10x less than opus 4.7 and openai 5.5) Very exciting to see the massive jump in performance in highly detail-oriented applied fields

5月1日周五
  1. Ethan Mollick61

    xAI发布Grok 4.3,其在Artificial Analysis智能指数得分53,性能优于Grok 4.20、Muse Spark等模型。核心改进在于“性价比”:输入与输出价格较前代分别降低约40%和60%,且基准测试套件运行成本下降。该版本在GDPval-AA等现实智能体任务上表现显著提升,指令遵循与客服任务强劲。但推文指出,其表现仍落后于最新的中国开源模型,并批评GDPval-AA测试本身价值有限。

    引用Artificial Analysis@ArtificialAnlys

    xAI has launched Grok 4.3, achieving 53 on the Artificial Analysis Intelligence Index with improved agentic performance, ~40% lower input price, and ~60% lower output price than Grok 4.20 The release of Grok 4.3 places @xAI just above Muse Spark and Claude Sonnet 4.6 on the Intelligence Index, and a 4 points ahead of the latest version of Grok 4.20. Grok 4.3 improves its Artificial Analysis Intelligence Index score while reducing cost to run the benchmark suite. Key Takeaways: ➤ Grok 4.3 improves on cost-per-intelligence relative to Grok 4.20 0309 v2: it scores higher on the Intelligence Index while costing less to run the full benchmark suite. Grok 4.3 costs $395 to run the Artificial Analysis Intelligence Index, around 20% lower than Grok 4.20 0309 v2, despite using more output tokens. This makes it one of the lower-cost models at its intelligence level ➤ Large increase in real world agentic task performance: The largest single benchmark improvement is on GDPval-AA, where Grok 4.3 scores an ELO of 1500, up 321 points from Grok 4.20 0309 v2’s score of 1179 Grok 4.3, surpassing Gemini 3.1 Pro Preview, Muse Spark, Gpt-5.4 mini (xhigh), and Kimi K2.5. Grok 4.3 narrows the gap to the leading model on GDPval-AA, but still trails GPT-5.5 (xhigh) by 276 Elo points, with an expected win rate of ~17% against GPT-5.5 (xhigh) under the standard Elo formula ➤ Grok 4.3’s performs strongly on instruction following and agentic customer support tasks. It gains 5 points on 𝜏²-Bench Telecom to reach 98%, in line with GLM-5.1. Grok 4.3 maintains an 81% IFBench score from Grok 4.20 0309 v2 ➤ Gains 8 points on AA-Omniscience Accuracy, but at the cost of lower AA-Omniscience Non-Hallucination Rate of 8 points, so Grok 4.20 0309 v2 still leads AA-Omniscience Non-Hallucination Rate, followed by MiMo-V2.5-Pro, in line with Grok 4.3 Congratulations to @xAI and @elonmusk on the impressive release!

4月30日周四