Unverified50% confidenceTradeoffExact time
In MiniMax M3.1 Flash, the effort level determines average thinking depth rather than a hard cap, and the thinking tokens for the same low level can vary several-fold across different inputs (e.g., from 511 to 6,060 on the Messages endpoint), so timeout settings should reference the maximum value for the level rather than the average.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/19/2026
First Seen
Valid until: 1/17/2027
Sources
Related Entities
Related Claims
UnverifiedThe same parameter name reasoning_effort behaves differently across models from different vendors: in gpt-5.4-mini the median output tokens rose from 18 at none to 254 at high (×14.1); gpt-oss-120b rose from refusal to 1,340 (×4.6); claude-haiku-5.5 rose from 150 to 298 (×2.0); gemini-3.7-flash rose from 453 to 1,013 (×2.2).65% similarUnverifiedV4.1 Flash offers three levels of reasoning intensity—low, medium, and highest—with the average score across eight reasoning benchmarks rising from 67.1 to 76.3, at the cost of approximately 2.5 times more output tokens.65% similarUnverifiedThe Ling-3.0-flash model has a total parameter count of 124B, with approximately 5.1B parameters activated per token, employs a KDA + MLA hybrid attention mechanism, and has a context length of 262k.64% similarUnverifiedOn a three-sample math problem, DeepSeek V4.1 Flash scored 74 points, on par with Opus 5.0 and surpassing GLM's 67 points and V4 Pro's 62 points.63% similar
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