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ModelTape / Models / Grok 4.7
xAI · API-only (closed weights)

Grok 4.7

Grok 4.7 is an API-only (closed weights) language model from xAI, released September 21, 2026. Its makers disclosed about 2.1T parameters. The context window is 488K tokens. On the Epoch Capabilities Index it scores 156.2, rank 38 of 256 rated models. API price: $2 input / $6 output per million tokens.

Grok 4.7 is our most capable model for coding and knowledge work. It works longer on difficult tasks, checks its own work more carefully, and comes with our best-calibrated safeguards to date. Served at the same price and speed as Grok 4.6, it is highly competitive in its class.

Check it against your own PC →

Lab
xAI
Released
September 21, 2026
Weights
API-only (closed weights)
Parameters
2.1T disclosed
Context
488K
Price / M tokens
$2 / $6 in / out
Epoch ECI
156.2 #38

Strengths by category

ModelTape's 0–100 fit on Epoch AI benchmark results.

CategoryScoreBased on
Reasoning20.4Chess Puzzles, Mystery Game Puzzles
Math42.7ProofBench, OTIS Mock AIME 2024-2025, FrontierMath-Tiers-1-3-v2-Private, FrontierMath-Tier-4-v2-Private
Coding62.2MirrorCode, FrontierSWE
Knowledge78.6GPQA diamond, SimpleQA Verified

Benchmark results

Benchmark (Epoch AI)Score
OTIS Mock AIME98.1%
GPQA Diamond94.1%
SimpleQA Verified56.0%
FrontierMath (Tiers 1–3)55.8%
MirrorCode54.4%
Chess Puzzles37.9%
FrontierSWE29.5%
ProofBench26.0%
Mystery Game Puzzles21.8%
FrontierMath-Tier-4-v2-Private17.1%
Furniture Assembly0.0%

Links

Announcement · Epoch AI benchmarks

Models with a similar score

GPT-5.5 · Claude Opus 4.8 · DeepSeek V4.1 Flash 1017 · Gemini 3.8 Flash · Kimi K3 · Gemini 3.7 Flash · Muse Spark 1.3 · GPT-5.4

More from xAI

Grok 4.6 · Grok 4.5 · Grok 4.3 Beta · Grok Build 0.1 · Grok 4.20 Multi-Agent · Grok 4.20 · Grok 4.1 Fast · Grok 4.1

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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