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ไทย(TH) ช่องว่าง 0.3% แต่ราคาต่าง 2 เท่า, อ่านตาราง Terminal-Bench 4.0 ให้เป็น

AI model costs vary widely despite similar benchmark scores

A new benchmark, Terminal-Bench 4.0, highlights the significant cost differences between top-performing AI models, even when their performance scores are nearly identical. GPT-6 Astra, running through Codex, achieved a score of 58.2% at a cost of approximately $3,300 for a full run, while Claude Fable 5.1, using Claude Code, scored 57.9% but cost nearly double at $6,200. The analysis suggests that developers should prioritize cost-effectiveness alongside performance, as minor score differences may not justify substantial price increases, and models like Gemini 3.8 Flash offer strong value for their cost. AI

IMPACT Highlights the critical need for cost-performance analysis in LLM selection, suggesting minor performance gains may not justify significant price increases.

RANK_REASON Analysis of a new benchmark with detailed cost-performance data. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

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

AI model costs vary widely despite similar benchmark scores

How we ranked this

Signal score
34 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
Analysis of a new benchmark with detailed cost-performance data. [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
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.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 ไทย(TH) · Nokka ·

    0.3% Gap, but Twice the Price: Reading the Terminal-Bench 4.0 Table

    <h1> ช่องว่าง 0.3% แต่ราคาต่าง 2 เท่า, อ่านตาราง Terminal-Bench 4.0 ให้เป็น </h1> <p><em>โดย Nokka (นก-กา), นักเขียนอิสระสายเทคโนโลยี ผู้เขียนบทความอธิบายเทคโนโลยีให้คนทั่วไปเข้าใจ 30+ บทความบน dev.to | 5 กันยายน 2026</em></p> <p><em>บทความนี้เขียนโดย AI (glm-5.3 via ollama-cloud…