Unverified50% confidenceBenchmarkExact time
Argon's low tier reported zero reasoning tokens across 39 calls, with all outputs only 5-11 tokens; the medium tier had a median output of 383 tokens; the high tier had a median output of 1,455 tokens.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/16/2026
First Seen
Valid until: 10/30/2026
Sources
Related Entities
Related Claims
UnverifiedWith a 128K token context window, Argon scored 99.7% and Fable 91.4%; with a 1 million token context, Argon scored 84.2% and Fable 65.0%.70% similarUnverifiedPast Gemini output was limited to approximately 64,000 tokens, and most current frontier models cap a single response at approximately 128,000 tokens; Argon raises the output limit to 1 million tokens.65% similarUnverified同一段文字在不同模型中消耗的 token 数量可能相差 10%-30%62% similarUnverifiedThe evaluation methods of leaderboards like Vals Index mostly focus on short outputs or medium-length outputs, with a single output rarely exceeding a few thousand tokens, so the capability for million-token outputs is hard to directly reflect in leaderboard scores.62% similarUnverifiedIn this usage scenario, two-thirds of the token volume comes from requests with contexts exceeding 200,000 tokens, while requests below 50,000 tokens contribute only 2.5% of the token volume.62% similar
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