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ClosedxAI/10 trustVerified
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Grok 4 Fast

Cost-efficient unified reasoning model with a 2M-token context window.

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About

Launched September 19, 2025, Grok 4 Fast is xAI's efficiency play: a single model that unifies reasoning and non-reasoning modes instead of shipping them as separate weights. It was the first xAI model with a 2-million-token context window, and xAI trained it with large-scale reinforcement learning aimed at intelligence density — the company claims roughly 40% fewer thinking tokens than Grok 4 for equivalent benchmark performance, translating to about a 98% lower cost per task. It shipped in two API variants, grok-4-fast-reasoning and grok-4-fast-non-reasoning.

The model is explicitly built for agentic use: native tool use, web and X search, and code execution are first-class, and it topped LMArena's Search Arena leaderboard at launch. Artificial Analysis independently rated it among the best price-to-intelligence ratios of any frontier model, at $0.20 per million input tokens and $0.50 per million output tokens.

Limitations: it is API-only with no open weights, so there is no self-hosting path. One third-party hallucination audit later reported a regression versus Grok 4 on its hallucination metric, and pricing above 128K tokens rises — verify current tiered pricing before long-context workloads.

Specs

Context window

2,000,000 tokens

Pricing

$0.20/M input, $0.50/M output tokens (under 128K); higher tiers above

Free quota

Temporary free access via OpenRouter and Vercel AI Gateway at launch; free-tier access on grok.com

API access

xAI API; grok.com; iOS and Android apps

Weights

Closed — API only

Released

September 19, 2025

Benchmarks

92.0% AIME 2025, 93.3% HMMT 2025, 85.7% GPQA Diamond, 80.0% LiveCodeBench (xAI-reported); #1 LMArena Search Arena at launch

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

reasoningagentsweb-searchcoding

Trust score — 9/10

/10 trustVerified

Scored 9/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 64; Trending score 88/100 from researcher assessment.

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