LLaMA 3 (8B/70B)vsGrok 4.6
LLaMA 3 (8B/70B) | Grok 4.6 | |
|---|---|---|
| API pricingUSD per 1M tokens · lower wins · base tier | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | — | $2.00 |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | — | $6.00 |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | — | $0.50 |
| BenchmarksPublished by one model only | ||
CursorBench v3.2Agentic coding — Cursor's own test of harder, real-world coding tasks inside a code editor, on the refreshed v3.2 task set. Scores aren't comparable with v3.1. Higher is better. | — | 69.9% |
DeepSWE 1.1Agentic coding — Artificial Analysis' independent test of deep, agentic software-engineering work — the AI has to plan and carry out substantial coding tasks end to end. (Version 1.1 of the test.) Higher is better. | — | 65.9% |
FrontierCode v1.1 (Extended) · extended splitAgentic coding — frontier-difficulty agentic coding tasks (v1.1, extended split) | — | 61.3% |
APEX-SWEExpert software engineering — expert-level software-engineering tasks (AI Productivity Index) | — | 56.4% |
Next.js EvalsNext.js coding — Vercel's open eval of how well AI coding agents build and migrate real Next.js apps — measured as the share of tasks the agent completes successfully. Higher is better. | — | 92% |
Terminal-Bench 3.0Agentic terminal coding — command-line task completion (v3.0, much harder task set) | — | 26% |
APEX-AgentsExpert agentic work — expert-level agentic work tasks (AI Productivity Index) | — | 57.5% |
Harvey's Legal Agent BenchmarkAgentic legal work — Harvey's test of whether an AI agent can complete real legal work — drafting and reviewing documents, working with spreadsheets and presentations, and navigating files the way a lawyer's assistant would. Higher is better. | — | 15.8% |
AA Intelligence IndexOverall intelligence — Artificial Analysis composite intelligence index across evals | — | 61 |
GDPval-AA v2Knowledge work — economically valuable knowledge work (v2, re-based Elo) | — | 1753 |
AA-BriefcaseKnowledge work — Artificial Analysis agentic office-work eval (Elo) | — | 1577 |
Arena Elo (Code)Community preference (code) — Like the text arena, but people vote on which AI writes better code. The votes become a chess-style Elo rating on arena.ai. Higher is better. | — | 1631 |
| Overview | ||
| Company | Meta | SpaceXAI |
| Release date | Apr 18 2024 | Aug 12 2026 |
| Access | Open Weight | Proprietary |
Frequently asked questions
LLaMA 3 (8B/70B) and Grok 4.6 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Grok 4.6 has a verified first-party API price: $2.00 per million input tokens and $6.00 per million output tokens. No pay-as-you-go API rate is tracked for LLaMA 3 (8B/70B). LLaMA 3 (8B/70B) shipped 846 days before Grok 4.6, so benchmark comparisons should account for the intervening progress.
LLaMA 3 (8B/70B) is open weight, while Grok 4.6 is proprietary.
Direct benchmark comparisons are unavailable — LLaMA 3 (8B/70B) and Grok 4.6 don't publish scores on any of the same benchmarks.
LLaMA 3 (8B/70B) was released by Meta on Apr 18 2024.
Grok 4.6 was released by SpaceXAI on Aug 12 2026.
Only Grok 4.6 has a verified first-party API price: $2.00 per million input tokens and $6.00 per million output tokens. No pay-as-you-go API rate is tracked for LLaMA 3 (8B/70B). Rates are pay-as-you-go API prices verified on August 18, 2026.
LLaMA 3 (8B/70B) is an open weight model released by Meta. Grok 4.6 is a proprietary model released by SpaceXAI.