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Google's Argon beats Opus 5.5 on LiveBench reasoning, not coding
The News
Google released Gemini 4 Argon on October 13, 2026, to paying API customers, enterprises, and Google AI Pro and Ultra subscribers in the Gemini app and AI Mode, after a September 30 rollout to trusted cyber defenders. Through the API it costs $2 per million input tokens and $10 per million output through November 30, then $4 and $20.
Chandni Melwani
Founder & Editor
Oct 18, 2026 · 1 MIN READ
Know More
- — GPT-6 Astra: $10 in and $50 out per million tokens, more for prompts over 272K input tokens.
- — Claude Sonnet 5.5: $2 in and $10 out per million tokens, Argon's introductory rates.
- — Token limits: 1,048,576 input plus output; 65,536 output by default on synchronous calls, 1,048,576 with long decode.
- — Thinking levels: low, medium and high; Vals and Artificial Analysis both tested high.
Vals.ai ran Argon three times through Terminal-Bench 4.0, 66 long tasks an AI agent works through in a terminal, and it passed 57.58% on average. That ranks it sixth, behind Claude Opus 5.5 at 65.15%, Claude Sonnet 5.5, GPT-6 Astra at 59.60%, Claude Fable 5.1 and Meta’s Muse Wonder Full. Vals ran Opus 5.5 with older Claude models as server-side fallbacks for refusals and lists 22 of its 198 attempts as fallbacks. Vals lists Argon at $4 and $20, its December rates, and its cost at $17.64 a task, more than any of those five.
On LiveBench 2.0, released October 14, Argon scores 95.1 on reasoning, the measure New in AI’s model comparison uses, to Opus 5.5’s 92.2, and 89.7 to 96.3 on coding. Artificial Analysis, as of October 18, shows no output speed and gives Argon an Intelligence Index of 53 at high; Opus 5.5 scores 54 at high and 58 at max, both with fallback.
The Read
From December 1, Argon's input, output and cached-input rates match Opus 5.5's and Meta's Muse Wonder's to the cent. On LiveBench, Argon tops the two short question sets, reasoning and data analysis; Opus 5.5 beats it on four of the five agentic suites, all but browser use. That points to buyers splitting work between them by task.
Room for Disagreement
Vals' results don't split so neatly. Argon ranks first on the Vals Index, 68.90% to Opus 5.5's 66.97%; it measures agentic model performance across finance, coding, legal and tax tasks, weighted by each sector's share of U.S. GDP. By Vals' formula, Finance Agent v2 alone supplies most of that lead.
Related
Frequently Asked Questions
Which Google plans include Gemini 4 Argon?
Google says Google AI Pro and Ultra subscribers get Argon in the Gemini app and AI Mode in Search, that developers build with the Gemini API paid tier, and that Ultra subscribers can also try it in Google Antigravity and AI Studio. On October 15, Google's Antigravity post said Argon was rolling out there for Ultra subscribers; by October 16 it said Pro and Ultra. Google's API pricing page says 'Gemini 4 Argon is not available on the Free tier.'
How does Argon's access for cyber defenders differ?
Google says members of its Fairwind Program, for trusted cyber defenders, get Argon without cyber guardrails on a rolling basis, as do its own internal teams. Argon began rolling out to Fairwind members on September 30, and on October 13 Google began expanding the program to hundreds of additional partners. Google's pricing footnote applies to 'the Argon model intended for public access only.'
What does Google claim for Argon on other benchmarks?
Google says that, relying on pure reasoning, Argon scores 87% on the Embodied Reasoning (ERQA) benchmark, ahead of all other frontier models, and that it leads Gray Swan's Indirect Prompt Injection benchmark, cutting attack success across 15 adaptive attempts to 0.7%. It also says shortcut attempts fell to 2% on coding benchmarks where models have no incentive to hold back, its best performance compared to previous Gemini models.
Sources
- Google, 'Gemini 4 Argon: Built to solve your hardest problems' (October 13, 2026): availability by plan, the introductory price and its November 30 footnote, the ERQA, Gray Swan and shortcut-attempt figures, and the Fairwind expansion
- Google, 'Gemini 4 Argon: our next era of frontier intelligence' (September 30, 2026): the rollout to trusted cyber defenders through the Fairwind Program and the release without cyber guardrails to defenders and Google's internal teams
- Google Antigravity, 'Gemini 4 Argon in Google Antigravity' (checked October 18, 2026): Argon rolling out in Antigravity for Google AI Pro and Ultra subscribers
- Internet Archive copy of the same Antigravity post (captured October 15, 2026): Argon rolling out in Antigravity for Google AI Ultra subscribers
- Internet Archive copy of the same Antigravity post (captured October 16, 2026): Argon rolling out in Antigravity for Google AI Pro and Ultra subscribers
- Google AI for Developers, 'Gemini Developer API pricing' (last updated October 16, 2026; checked October 18): Argon's input, output and context-caching prices through November 30 and from December 1, and the note that Argon is not available on the Free tier
- Google AI for Developers, 'Gemini 4 Argon' model page (checked October 18, 2026): the unified input and output token limit, the default and long-decode output limits, and the thinking levels
- Vals.ai, 'Terminal-Bench 4.0' leaderboard (updated October 16, 2026; checked October 18): ranks, scores, cost per test and listed token prices, and the 66-task, three-run method
- Vals.ai, Claude Opus 5.5 model page (checked October 18, 2026): Claude Opus 5 and Claude Opus 4.8 as server-side fallbacks for refusals, and 22 Terminal-Bench 4.0 fallbacks (11.11%)
- Vals.ai, Gemini 4 Argon model page (checked October 18, 2026): the high reasoning-effort setting Vals evaluated
- Vals.ai, 'Vals Index' (updated October 16, 2026; checked October 18): Vals' description of the index, its sectors and U.S. GDP weighting, the formula giving finance 8.0 of 15.3 and averaging Finance Agent v2 with one other finance test, and Gemini 4 Argon first at 68.90% to Claude Opus 5.5's 66.97%
- Vals.ai, 'Finance Agent (v2)' (updated October 16, 2026; checked October 18): Gemini 4 Argon first at 65.40%, Claude Opus 5.5 at 58.59%
- Artificial Analysis, Gemini 4 Argon (High) (checked October 18, 2026): Intelligence Index of 53 and no output-speed result
- Artificial Analysis, LLM leaderboard (checked October 18, 2026): Claude Opus 5.5 at an Intelligence Index of 54 at high and 58 at max, both with fallback
- LiveBench 2.0 leaderboard (released October 14, 2026; last updated October 18; checked October 18): its seven suites, five agentic and two short single-answer question sets, and every suite score for Gemini 4 Argon and Claude Opus 5.5 across all 48 models
- LiveBench 2.0 suite notes (checked October 18, 2026): reasoning and data analysis as short questions with a single correct answer
- Claude Platform Docs, 'Pricing' (checked October 18, 2026): Claude Opus 5.5 at $4 input, $20 output and $0.20 cache hits, Claude Sonnet 5.5 at $2 and $10, and the full 1M context window at standard pricing
- OpenAI, 'GPT-6 Astra' model page (checked October 18, 2026): $10 input and $50 output, and the higher rates for prompts over 272K input tokens
- Meta, 'Pricing and rate limits' (checked October 18, 2026): Muse Wonder at $4 input, $20 output and $0.20 cached input
- Meta, 'Models' (checked October 18, 2026): Muse Wonder Full is Meta's higher-capability variant, available only in Muse Code with a subscription and not on Model API
Chandni Melwani
Chandni Melwani is the founder and editor of New in AI, covering AI agents, M&A, and enterprise adoption. She holds a Master's in Management of Artificial Intelligence from Queen's University and brings a practitioner's perspective from her work in Data and AI leadership.
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