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Google releases Gemini 4 Argon with 1M token output limit

By PulseAugur Editorial · [8 sources] ·

Google DeepMind has launched Gemini 4 Argon, a sparse mixture-of-experts model, now generally available via the Gemini API and AI Studio. This new model boasts an unprecedented 1 million token output limit, significantly expanding capabilities for long-context workflows in domains like coding, finance, and legal analysis. Gemini 4 Argon also achieved a leading score of 68.90% on the Vals Index, though it trails competitors on certain coding and reasoning benchmarks. AI

IMPACT This release significantly expands the context window for AI models, potentially enabling more complex and nuanced applications in fields requiring extensive data processing.

RANK_REASON Frontier-lab model release with system card and benchmark results.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 8 sources. How we write summaries →

Google releases Gemini 4 Argon with 1M token output limit

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1 / 100
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Frontier Release
Frontier-lab model release with system card and benchmark results.
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8 independent sources
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model release, product
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+2 source(s) since last score
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Full methodology in our editorial standards.

COVERAGE [8]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    Google Releases Gemini 4 Argon API With 1M Token Output Limit

    <p>Google has made Gemini 4 Argon generally available on the Gemini API, AI Studio and the Gemini app. The sparse MoE model writes up to 1M output tokens and leads the Vals Index at 68.90%.</p> <p>The post <a href="https://www.marktechpost.com/2026/10/13/google-gemini-4-argon-api…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    ⚡ Gemini 4 Argon (batch) (Google) runs a 1M-token context at $1 in / $5 out per 1M, commercial. At $5 output, batch inference gets serious. See how pricing shif

    ⚡ Gemini 4 Argon (batch) (Google) runs a 1M-token context at $1 in / $5 out per 1M, commercial. At $5 output, batch inference gets serious. See how pricing shifts across models, refreshed hourly. https:// olud.ai/latest.html # AI # LLM

    LINKS olud.ai/latest.html
  3. Mastodon — mastodon.social TIER_1 English(EN) · Steenbergen_apps ·

    📰 Latent — Gemini 4 Argon's 1M output tokens, and a voice model race • Google makes Gemini 4 Argon generally available with 1M output tokens • Grok Voice 3.0 ta

    📰 Latent — Gemini 4 Argon's 1M output tokens, and a voice model race • Google makes Gemini 4 Argon generally available with 1M output tokens • Grok Voice 3.0 takes #1 on the Artificial Analysis speech-to-speech index • Anthropic warns small models could self-replicate through IoT…

    LINKS latent.steenbergen.ai/…/2026-10-15 latent.steenbergen.ai/archive
  4. Mastodon — mastodon.social TIER_1 English(EN) · strike007 ·

    Google released Gemini 4 Argon on the Gemini API and AI Studio. The sparse MoE model supports a 1M token output limit and leads the Vals Index at 68.90%. This m

    Google released Gemini 4 Argon on the Gemini API and AI Studio. The sparse MoE model supports a 1M token output limit and leads the Vals Index at 68.90%. This massive generation capacity changes how we architect large-context workflows. # AI # MachineLearning # GoogleCloud

  5. Mastodon — mastodon.social TIER_1 English(EN) · strike007 ·

    Google's Gemini 4 Argon is now generally available with a massive 1M token output limit, hitting a 68.90% score on the Vals Index. Meanwhile, AWS engineers push

    Google's Gemini 4 Argon is now generally available with a massive 1M token output limit, hitting a 68.90% score on the Vals Index. Meanwhile, AWS engineers pushed MoE kernel optimizations on SageMaker that yield up to 10% higher throughput on H200 GPUs. # MachineLearning # CloudC…

  6. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Google has released Gemini 4 Argon on its Gemini API, a frontier model with a 1M token output limit designed for complex multi-step tasks in coding, finance, le

    Google has released Gemini 4 Argon on its Gemini API, a frontier model with a 1M token output limit designed for complex multi-step tasks in coding, finance, legal and science. https://www. marktechpost.com/2026/10/13/go ogle-gemini-4-argon-api-release/ # AIagent # AI # GenAI # A…

    LINKS marktechpost.com/…/google-gemini-4-argon-… marktechpost.com/…/go
  7. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    📰 Google Releases Gemini 4 Argon API With 1M Token Output Limit Google has made Gemini 4 Argon generally available on the Gemini API, AI Studio and the Gemini a

    📰 Google Releases Gemini 4 Argon API With 1M Token Output Limit Google has made Gemini 4 Argon generally available on the Gemini API, AI Studio and the Gemini app. The sparse MoE model writes up to 1M output tokens and leads the Vals Index at 68.90%. 📰 Source: MarkTechPost 🔗 Link…

    LINKS marktechpost.com/…/google-gemini-4-argon-…
  8. r/singularity TIER_2 Suomi(FI) · /u/BeefHotSweetDipped ·

    Gemini 4 Argon - 1M token max output

    <table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1x55qs2/gemini_4_argon_1m_token_max_output/"> <img alt="Gemini 4 Argon - 1M token max output" src="https://preview.redd.it/q43ceh3j9avh1.png?width=320&amp;crop=smart&amp;auto=webp&amp;s=cb83cf5ca720345c6f7f43…

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