Verified AI Benchmarks • Updated October 2026
News
AI model releases, product updates and pricing developments.

Omen Alpha: What OpenCode's Unidentified Model Data Can Tell Us
OpenCode lists Omen Alpha with an unknown provider and unknown specifications. Here is what its usage page establishes, what remains unverified, and why its identity is still unknown.
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Tencent Hy4 Preview: 770B MoE Architecture and 1M Context Window
Tencent Hy4 preview has 770B total and 49B activated parameters, a 1M context window, published FP8 checkpoints, deployment recipes, and an Apache 2.0 license.
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Ox Alpha and GLM-5.3-Flash: What Is Known and Unverified
Z.ai identifies GLM-5.3-Flash as the first native multimodal model in the GLM-5 series. Review its documented architecture, context limits, current API prices, and the limits of claims about Ox Alpha.
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GLM-5.3 in ZCode: Agentic Coding Integration and Evaluation
Z.ai describes GLM-5.3 as a post-training update to GLM-5.2 and says it rolled out to GLM Coding Plan users. Learn how to evaluate the model separately from the ZCode agent.
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Grok 4.6: Capabilities, Benchmarks, and Current API Pricing
Grok 4.6 is a 500K-context xAI model for coding and agentic work. See xAI's current short- and long-context pricing and what published benchmark comparisons can show.
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NVIDIA Nemotron 3.5 Lightning: Architecture, Benchmarks, and Hardware
NVIDIA Nemotron 3.5 Lightning is a 30B MoE model with 3B active parameters and up to 1M context. Review its published benchmark results and checkpoint-specific hardware guidance.
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Claude Sonnet 5: Permanent $2/$10 Pricing and Developer Impact
Anthropic made Claude Sonnet 5 API pricing permanent at $2 per million input and $10 per million output tokens. See a cost calculation with cache assumptions.
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DeepSeek V4 Flash 0731: Current API Alias and Historical Context
DeepSeek's API now serves legacy V4 Flash aliases as V4.1-Flash. See the current context limits and peak/off-peak prices, and why old snapshot benchmarks need separate evidence.
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Muse Spark 1.2: What Changed in Meta's Coding Model
Meta describes Muse Spark 1.2 as a coding-focused update co-trained with Muse Code, with long-horizon task training, context compaction, and a published kernel optimization case study.
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