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Kimi K2.5 achieves strong benchmark scores with competitive pricing

By PulseAugur Editorial · [1 sources] ·

Kimi K2.5 has achieved notable performance on several benchmarks, including GPQA, HLE, Long Context, and SciCode. The model offers competitive pricing at 30 integer points per dollar across these evaluations. These results were independently measured and published. AI

IMPACT Demonstrates competitive performance and cost-effectiveness on key LLM benchmarks.

RANK_REASON Model benchmark results published by an independent measurement source. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Kimi K2.5 achieves strong benchmark scores with competitive pricing

How we ranked this

Signal score
16 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
Model benchmark results published by an independent measurement source. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product
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High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · opensourceaitech ·

    📊 Kimi K2.5 (Reasoning): GPQA 87.9%, HLE 30.7%, Long Context 73%, SciCode 49% — all at 30 int points/dollar. Independently measured. https:// olud.ai/leaderboar

    📊 Kimi K2.5 (Reasoning): GPQA 87.9%, HLE 30.7%, Long Context 73%, SciCode 49% — all at 30 int points/dollar. Independently measured. https:// olud.ai/leaderboard.html # LLM # Benchmarks # OpenSource # AI

    LINKS olud.ai/leaderboard.html

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