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I really have all of these classes, they usually all have my character. Every class, each expertise tree, and so on. ENTP is each class XD Something which’s a challenge or khelaghor advanced, requires figuring out and such, have to be discovered. (didn’t examine them)

Kimi K3, launched July sixteen, 2026, is a 2.8 trillion parameter open-weight mannequin that scores 88.3% on Terminal-Bench 2.1. Delay regulated self-hosting or a strategic open-source dedication till Moonshot publishes the checkpoint, license, model card and technical report. K3 used way more output tokens to complete the evaluation—about 1.9 instances Sol’s total and 1.5 occasions Fable’s—yet its decrease token costs saved the evaluation bill slightly below Sol and far below the Fable configuration. Moonshot’s 2.8-trillion-parameter mannequin additionally brings native image and video understanding, a 1,048,576-token context window and unusually competitive coding and agent scores. Half the worth of Seedance 2.zero, built to generate video at scale. The deductions are the unverified numbers and a worth that removes the automatic-value argument the Kimi line used to win on.

• Community testers describe coding performance at Opus 4.7-plus degree, and some claims of beating GPT-5.5 are circulating faster than the proof behind them.
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Neighborhood testers describe coding performance at Opus 4.7-plus degree, and some claims of beating GPT-5.5 are circulating faster than the evidence behind them. K2.7’s coding worth is strictly why it featured in our GLM-5.2 vs Claude vs GPT-5.6 vs Kimi coding comparability, and that evaluation still holds for teams optimizing price per pull request. The K2 dynasty built Moonshot’s reputation as the open-weight worth king; K3 spends that popularity on a shot on the crown. VentureBeat referred to as it the most important open-source mannequin ever introduced, and on raw parameter rely nothing public comes close.

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On its reported agent evaluations, K3 scores 1,668 Elo on GDPval-AA v2, behind Fable at 1,760 and Sol at 1,748 however above Claude Opus four.8 at 1,600. Moonshot’s broader desk suggests K3 is strongest when coding, searching, instruments and visible reasoning meet. For deeper context on the two proprietary leaders, see Kingy AI’s analyses of GPT-5.6 Sol’s benchmarks and specifications and Claude Fable 5’s benchmark and pricing picture. The 1.78-point gap from Sol Max and a pair of.75-point gap from the Fable configuration are clearer, though nonetheless not an different to workload-specific testing. At record value, K3 input is 40% cheaper than Sol and its output is 50% cheaper. The model-specific K3 API quickstart individually confirms picture and video inputs, the one-million-token window and the launch-time request limits.

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As of launch day, there isn’t any K3 checkpoint in the company’s public model repository, no K3 license, no mannequin card and no full technical report. For the 100K-input, 10K-output instance, GPT-5.6 Sol’s listed rates produce an $0.eighty token bill and Fable 5’s produce $1.50, before tool charges or provider-specific caching. On its standardized 500-token performance workload, whole response time is about forty two.30 seconds. Artificial Analysis measures a 1.99-second time to the primary streamed chunk, followed by about 32.24 seconds of reasoning earlier than the primary answer token. K3’s API begins streaming shortly, but the final reply does not arrive in two seconds.