Unverified50% confidenceSolutionExact time
In scenarios such as Agent steps, tool calls, information extraction, and JSON output, Argon's default medium tier consumes 0 reasoning tokens, whereas Gemini 3.1 Pro's default high tier used 173 and 353 reasoning tokens on tool calls and JSON extraction respectively.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/16/2026
First Seen
Valid until: 1/14/2027
Sources
Related Entities
Related Claims
UnverifiedGoogle's published benchmark scores for Gemini 4 Argon were measured under the High reasoning setting, while the API default setting is Medium.72% similarPartially VerifiedBy default, Gemini 4 Argon's output limit for synchronous requests is 65,536 tokens, and exceeding it returns a 400 error; to generate an output close to 1 million tokens, you must set background: true via the Interactions API and raise max_output_tokens, while also requiring store=true because background interactions rely on persistence.66% similarUnverifiedOn the unified agent setup leaderboard actually operated by DataCurve, three models are tied for first place at 74%, including Google's Gemini 3.8 Flash, while Argon is not listed.63% similarUnverifiedIf the max_output_tokens limit is set too low, Gemini 4 Argon returns an empty answer but still bills as usual.63% similarUnverifiedGemini 4 Argon was released by Google DeepMind, claiming it can generate up to 1 million tokens in a single response, and is aimed at long-horizon engineering tasks, supporting handing complex projects to the agent and then leaving for hours.63% similar
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