body { background: #06080c; color: #e5e9f0; margin: 0; } .rw-nojs-bar { max-width: 880px; margin: 0 auto; padding: 18px 16px 14px; } .rw-nojs-bar .rw-nojs-brand { font: 700 20px/1 Inter, system-ui, sans-serif; color: #e5e9f0; text-decoration: none; } .rw-nojs-nav { max-width: 880px; margin: 0 auto; padding: 0 16px 14px; border-bottom: 1px solid #1c2230; font: 500 14px/1.4 Inter, system-ui, sans-serif; } .rw-nojs-nav a { color: #6f9bff; margin: 0 14px 6px 0; text-decoration: none; display: inline-block; } .rw-nojs-nav a:hover { text-decoration: underline; } .rw-nojs-note { max-width: 880px; margin: 12px auto 0; padding: 0 16px; font: 400 13px/1.5 Inter, system-ui, sans-serif; color: #8a93a6; } #root [data-rw-crawler] { max-width: 880px; margin: 0 auto; padding: 8px 16px 48px; font: 400 16px/1.65 Inter, system-ui, sans-serif; color: #e5e9f0; } #root [data-rw-crawler] a { color: #6f9bff; } #root [data-rw-crawler] h1 { font-size: 28px; line-height: 1.2; } #root [data-rw-crawler] h2 { font-size: 20px; margin-top: 28px; } #root [data-rw-crawler] img { max-width: 100%; height: auto; } #root [data-rw-crawler] ul { padding-left: 0; list-style: none; } #root [data-rw-crawler] li { margin: 0 0 18px; } #root [data-rw-crawler] .rw-pagination { margin: 28px 0 0; display: flex; flex-wrap: wrap; gap: 12px; align-items: baseline; } #root [data-rw-crawler] .rw-pagination strong { color: #e5e9f0; } .rw-nojs-footer { max-width: 880px; margin: 40px auto 0; padding: 22px 16px 44px; border-top: 1px solid #1c2230; font: 400 13px/1.6 Inter, system-ui, sans-serif; color: #8a93a6; } .rw-nojs-footer .rw-nojs-fcols { display: flex; flex-wrap: wrap; gap: 28px 40px; margin-bottom: 20px; } .rw-nojs-footer h2 { font-size: 11px; letter-spacing: 0.05em; text-transform: uppercase; color: #b7c0d3; margin: 0 0 8px; } .rw-nojs-footer a { color: #6f9bff; text-decoration: none; display: block; margin: 0 0 5px; } .rw-nojs-footer a:hover { text-decoration: underline; } .rw-nojs-footer .rw-nojs-legal { font: 400 12px/1.6 Inter, system-ui, sans-serif; color: #6b7384; margin: 0; } .rw-nojs-footer .rw-nojs-legal a { display: inline; } RuntimeWire Investigations Stories AI Startups Venture Products Funding Exits Models Head-to-Head About You're browsing RuntimeWire with JavaScript disabled. Articles and navigation work fully. Interactive features — search, comments, and newsletter signup — require JavaScript.

xAI

SpaceXAI: Grok 4.3

x-ai/grok-4.3

Grok 4.3 is a reasoning model from SpaceXAI.

Context window: 1,000,000 tokens
Input: text, image, file
Output: text
Pricing: $1.25/M input tokens, $2.5/M output tokens

Community sentiment

Positive (+21) — 4 positive, 2 negative, 8 neutral across 14 community samples from X and the web, as of 2026-10-02.

Community posts show nostalgia and praise for Grok 4.3’s performance and practical advantages (rankings, usefulness in tasks), while others report regressions after 4.3 or specific failures on benchmarks and urge upgrading. Most discussion is comparative or informational rather than strongly emotional.

“I miss Grok 4.3... 😔 https://t.co/cLtQqokpFh” — X
“Last 30 days with Grok 4.3, might be time to upgrade. https://t.co/QBwBbuL4Vu” — X
“@sudoingX Ice cream salesman says dont make your own ice cream. Logic parity with frontier models (one Grok 4.3 failed - knapsack_new.txt) on a 3-Color Knapsack benchmark with a 27b model: https://t.co/CkuEWuhRS1” — X
“A $600 VM beating trillion dollar frontier labs... We ran #ChatGPT 5.4, #Gemini 3.6-flash, and #Grok 4.3 against a quantized open-weights model on a single GPU. Same prompt, same rubric, same day. Full data inside. https://t.co/G9S1C9a7PN” — X

RuntimeWire coverage

View on OpenRouter. Model data sourced from OpenRouter.

More models from xAI

Browse all AI models

Sections

Investigations Stories AI Startups Venture Products Funding Exits

Publication

About FAQ Contact Editorial Policy Corrections Policy Ethics

Tools

AI Model Pricing Head-to-Head

Legal

Privacy Terms