xAI

Grok 4

Type
language model
Context
256K tokens
Max output
16K
Released
9 July 2025
API string
grok-4-0709

Prices by provider

Provider Input, $ per 1M Output, $ per 1M In our data since
Jiekou.AI $2.7 $13.5 31 Jul 2026
Abacus.AI $3 $15 31 Jul 2026
xAI $3 $15 31 Jul 2026

Only the base tier and only per-token prices are shown. Batch, discounted and cached rates, as well as prices per image or per second of video, do not go into this table: they cannot stand in the same column as a price per million tokens.

The date in the last column is the day this price first entered our collection. The price may well be older: before that day we simply were not recording it. It has not changed since — otherwise a new row with a new date would stand in its place.

Measurement results

Task set Result Run conditions Measured by
Arena Score in French 1,425.25 1,399–1,452 — —
Arena Score, mathematics 1,424.24 1,412–1,437 — —
Arena Score in English 1,418.4 1,413–1,423 — —
Arena Score, expert questions 1,417.67 1,404–1,431 — —
Arena Score, multi-turn dialogue 1,415.59 1,408–1,423 — —
Arena Score in Spanish 1,413.5 1,394–1,433 — —
Arena Score in Russian 1,412.96 1,401–1,425 — —
Arena Score, long queries 1,410.19 1,404–1,417 — —
Arena Score, overall 1,409.91 1,406–1,414 — —
Arena Score, programming 1,408.98 1,402–1,416 — —
Arena Score, hard prompts 1,408.55 1,404–1,414 — —
Arena Score, creative writing 1,398.43 1,390–1,407 — —
Arena Score, instruction following 1,387.31 1,381–1,393 — —
Arena Score, working with images 1,208.77 1,201–1,216 — —
Arena Score, understanding diagrams 1,203.03 1,190–1,216 — —
Arena Score, text recognition in images 1,194.52 1,186–1,203 — —
Fiction.LiveBench — holding a long context 94.4 % — Fiction.live leaderboard
Mock AIME 2024–2025 — olympiad problems 83.98 % · with a tuned harness Epoch evaluations
GPQA Diamond — graduate-level questions 82.67 % · with a tuned harness Epoch evaluations
Aider Polyglot — code edits in six languages 79.6 % · with a tuned harness Aider LLM Leaderboards
Creative writing (Lech Mazur’s evaluation) 76.9 % — lechmazur/writing Github repository
ARC-AGI — generalising to unseen patterns 66.67 % · with a tuned harness —
SimpleBench — trick questions 52.6 % — SimpleBench Leaderboard
SimpleQA Verified — factual accuracy 47.9 % — Epoch evaluations
DeepResearch Bench — deep research 47.9 % — DeepResearchBench Leaderboard
WeirdML — unusual machine learning tasks 45.73 % — WeirdML Leaderboard
GeoBench — locating a place from a photograph 45 % — GeoBench leaderboard
BALROG — game environments 43.6 % — Balrog Leaderboard
Cybench — cybersecurity tasks 43 % · with a tuned harness Grok 4 Model Card self-reported
Terminal-Bench — working in the command line 27.2 % · with a tuned harness Terminal-Bench v2 Leaderboard
Chess puzzles 24.24 % — Epoch evaluations
GDPval — tasks from real occupations 21.1 % effort: high —
ARC-AGI-2 15.98 % — —
APEX-Agents 15.2 % — —