xAI

Grok 4.5

Type
language model
Context
500K tokens
Max output
500K
Released
8 July 2026
API string
x-ai/grok-4.5

Prices by provider

Provider Input, $ per 1M Output, $ per 1M In our data since
opencode-go $2 $6 31 Jul 2026
daoxe $2 $6 31 Jul 2026
AIHubMix $2 $6 31 Jul 2026
Abacus.AI $2 $6 31 Jul 2026
CrossModel $2 $6 31 Jul 2026
LLM Gateway $2 $6 31 Jul 2026
Merge Gateway $2 $6 31 Jul 2026
OpenCode Zen $2 $6 31 Jul 2026
OpenRouter $2 $6 31 Jul 2026
Vercel $2 $6 31 Jul 2026
ZenMux $2 $6 31 Jul 2026
xAI $2 $6 31 Jul 2026
Venice AI $2.27 $6.8 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, web development 1,549.24 1,539–1,560 — —
Arena Score, mathematics 1,484.15 1,456–1,513 — —
Arena Score, programming 1,479.12 1,468–1,491 — —
Arena Score, expert questions 1,477.5 1,459–1,496 — —
Arena Score, long queries 1,465.65 1,456–1,475 — —
Arena Score, hard prompts 1,463.7 1,456–1,472 — —
Arena Score, multi-turn dialogue 1,457.65 1,443–1,472 — —
Arena Score in Russian 1,456.76 1,439–1,475 — —
Arena Score in English 1,455.92 1,446–1,465 — —
Arena Score in French 1,454.67 1,422–1,488 — —
Arena Score, overall 1,451.46 1,445–1,458 — —
Arena Score in Spanish 1,449.5 1,412–1,487 — —
Arena Score, instruction following 1,442.43 1,432–1,453 — —
Arena Score, creative writing 1,439.21 1,424–1,454 — —
Arena Score, understanding diagrams 1,325.46 1,304–1,347 — —
Arena Score, text recognition in images 1,300.33 1,287–1,314 — —
Arena Score, working with images 1,293.37 1,281–1,306 — —
Mock AIME 2024–2025 — olympiad problems 97.78 % effort: high · with a tuned harness Epoch evaluations
GPQA Diamond — graduate-level questions 91.25 % effort: high · with a tuned harness Epoch evaluations
ARC-AGI — generalising to unseen patterns 87.17 % effort: medium · with a tuned harness https://arcprize.org/leaderboard
SimpleBench — trick questions 64 % — SimpleBench Leaderboard
FrontierMath, levels 1–3 57.19 % effort: high Epoch evaluations
SimpleQA Verified — factual accuracy 53.5 % effort: high Epoch evaluations
ARC-AGI-2 52.64 % effort: high —
WeirdML — unusual machine learning tasks 46.43 % — https://htihle.github.io/weirdml.html
FrontierCode — patches fit to be merged into a project 42.4 % — https://cognition.com/frontiercode
APEX-Agents 34.2 % — —
Chess puzzles 32.66 % effort: high Epoch evaluations
FrontierMath, level 4 — research-grade problems 24.39 % effort: high Epoch evaluations
CritPt — physics problems 15.43 % effort: high —
Arena Score, agent tasks 0.06 0–0 — —