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AI Benchmarking

291 summarised stories about AI Benchmarking, each linking back to the original source. Browse all topics →

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Wednesday, 2 September 2026

Google DeepMind Releases Gemini 3.8 Flash and Gemini 3.8 Flash Cyber: One Core Model, Two Access Envelopes

MarkTechPost 1 month ago 9 ● 3 sources

Google DeepMind released Gemini 3.8 Flash and Gemini 3.8 Flash Cyber as two variants built on the same core model but separated by different safety access rules. Gemini 3.8 Flash stays priced at $0.75 per 1M input tokens and $3.75 per 1M output tokens through December 31, 2026. Gemini 3.8 Flash is broadly deployable via Google’s platforms while Flash Cyber is restricted case by case through the Fairwind Program, and the 3.8 Flash API no longer supports MINIMAL (it returns a validation error).

[AINews] Claude Fable/Mythos 5.1: new SOTA model, 75% cache price cut but 70% more output tokens

Latent Space 1 month ago 9 ● 4 sources

Anthropic released Claude Fable 5.1 and Claude Mythos 5.1 as new flagship models for coding and knowledge work. Cache read pricing was cut by 75% to $0.25 per 1M tokens, but output token usage rose 1.7×, making total per-task cost about 20% higher. The result is a model that scores higher on frontier-style benchmarks and benefits long-context agent workloads, while also facing user complaints about rate limits, safeguards, and overall deployment economics.

Fable 5.1: The New Best AI Model Is Once Again More Expensive

Trending Topics 1 month ago 39 ● 4 sources

Anthropic launched Claude Fable 5.1 (and Claude Mythos 5.1) with restricted availability for vetted organizations. Artificial Analysis measured Fable 5.1 at 3.76 dollars per Intelligence Index task at max effort, about 20 percent more than Fable 5 despite Anthropic’s cache-read price cut. Token-heavy tasks become effectively pricier than the prior model, even as cache-read costs drop and performance scores reach new highs at the highest reasoning setting.

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