[whatmodel.sh](../../README.md) / Grok 4.6
# Grok 4.6
SpaceXAI (xAI) · released 2026-08 · closed weights
**score 74.9** ±0.6 · #35 of 732 · from 19 benchmark results across 5 sources
Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only.
## What it's good at
● marks Grok 4.6 among every model on that task or test, worst to best.
task vs the others rank counts tests
agent tasks ▁▁▃▆█▄▅▅▄●▂▁ #38 of 313 15% 3
coding ▁▁▁▃▅▇█▇▅▄●▁ #28 of 469* 10% 2
chat & writing ▁▁▁▃▆▄▆█▆▇●▃ #50 of 402* 4.0% 1
math ▁▁▃▅█▆▄█▄●▁▁ #31 of 431 35% 3
vision & documents ▁▁▂▂▁▃▄▂▆▇●▄ #36 of 153* 4.1% 2
agent tasks · #38 of 313 · 15% of its score
Beats [GPT-5.6 Luna](gpt-5-6-luna.md) here, though they rank higher overall. Trails [Grok 4.7](grok-4-7.md), [Claude Sonnet 5](claude-sonnet-5.md), [Grok 4.5](grok-4-5.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
Arena Agent (October 2026 aggrega… 0.0049 IPS ▁▁▁▃▃▂●▁▂▂▁▁ beats 26/59 avg -0.379 IPS 10% sharp
Terminal-Bench 4.0 20.3% █▅▅●▅·▅▃▃▅▅▅ beats 7/20 very hard · avg 0.5% 4.0% sharp
KlinikeBench strict pass@1 (333 i… 21.9% ▁▁·▁▁▁▁▅▃█●█ beats 20/27 very hard · avg 2.4% 1.2% typical
coding · #28 of 469 · 10% of its score
Beats [GPT-5.5](gpt-5-5.md), [GPT-5.6 Terra](gpt-5-6-terra.md), [Claude Opus 4.8](claude-opus-4-8.md) here, though they rank higher overall. Trails [Grok 4.7](grok-4-7.md), [Qwen3.8-Flash-Next](qwen3-8-flash-next.md), [Qwen3.8 Max (0902)](qwen3-8-max-0902.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
Arena WebDev (Code Arena) 1616.4 ▁▁▃▂▅█▃▆●▅▁▂ beats 103/129 avg 981 7.2% sharp
Luau Leetcode fully solved (Torpe… 83.7% ▁▁▁▁·▁▂▃▅▃█● beats 42/49 hard · avg 17% 2.7% sharp
chat & writing · #50 of 402 · 4.0% of its score
Beats [MiMo-V2.6-Flash (309B-A15B)](mimo-v2-6-flash.md), [Claude Haiku 5.5](claude-haiku-5-5.md), [GPT-6 Luna](gpt-6-luna.md) here, though they rank higher overall. Trails [Gemini 3.5 Flash-Lite](gemini-3-5-flash-lite.md), [MiMo-V2.5-Pro (1T-A42B)](mimo-v2-5-pro.md), [GLM-5](glm-5.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
LMArena (text) 1455.5 ▁▁▁▂▃▃▃▆▆▇●▃ beats 327/385 avg 1260 4.0% blunt
math · #31 of 431 · 35% of its score
Beats [Gemini 3.8 Flash](gemini-3-8-flash.md), [DeepSeek V4.1 Flash](deepseek-v4-1-flash.md) here, though they rank higher overall. Trails [Qwen3.7 Max](qwen3-7-max.md), [Muse Spark Open](muse-spark-open.md), [Qwen3.8 Max (0902)](qwen3-8-max-0902.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
FrontierMath tier 4 v2 31.7% ▁▂▁▂█●▂▃▂▁▁▁ beats 39/67 very hard · avg 0.1% 18% sharp · at its level
FrontierMath tiers 1–3 v2 66.0% ▂··▁▁▃▄▄●▆▄▃ beats 54/86 very hard · avg 1.2% 17% sharp · at its level
OTIS mock AIME 2024–2025 99.2% ▃▃▄▃▃▃▇▇█▃▂● beats 182/197 very hard · avg 7.2% 0.5% sharp · maxed out · noisy
vision & documents · #36 of 153 · 4.1% of its score
Beats [Claude Sonnet 5.5](claude-sonnet-5-5.md), [MiMo-V2.6-Pro](mimo-v2-6-pro.md), [MiMo-V2.6-Flash (309B-A15B)](mimo-v2-6-flash.md) here, though they rank higher overall. Trails [Qwen3.6 Flash](qwen3-6-flash.md), [Qwen3.6 Plus](qwen3-6-plus.md), [Qwen3.7 Plus](qwen3-7-plus.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
Arena vision (style controlled) 1262.1 ▁▁▂▂▂▂▃▄▅▅●▇ beats 117/152 avg 1061 2.7% blunt
Arena document (style controlled) 1461.1 ▁▁▃▃▄▃▇●▅▇▄▅ beats 18/37 avg 1331 1.4% blunt
other tests (8)
test result vs the others in its run difficulty counts why
EBR-bench (Epoch) 30.5% ▄▂·▆█▂●▆▄▆·▆ beats 14/25 very hard · avg 0.3% 7.6% sharp
Furniture Assembly (Epoch) 40.0% █▆▆●▆▂▆▂▂▂▂▅ beats 16/32 very hard · avg 1.2% 6.9% sharp · at its level
Mystery Game Puzzles (Epoch) 34.0% █··▂▃▇▄●▂▄▂▁ beats 55/77 very hard · avg 9.4% 6.7% sharp · at its level · noisy
Chess Puzzles (Epoch) 31.0% █▁▁▁▁▂▃▃●▂▁▁ beats 107/137 very hard · avg 5.8% 3.9% sharp · at its level · noisy
GPQA Diamond 93.2% ▁▁▁▁▂▄▆▄▅▇█● beats 196/211 hard · avg 39% 2.6% sharp
SimpleQA Verified 48.9% ▁▁▃▂▃▃▆▆●▄▂▅ beats 53/81 very hard · avg 8.0% 1.6% at its level
MirrorCode (Epoch) 41.1% ▄·█▄▄▄█●·▄▄█ beats 8/13 very hard · avg 1.6% 1.1% sharp · at its level · noisy
RobloxQA v2.0 multiple choice (To… 96.8% ▁▁▃▁█▄▃▃●▂▂▂ beats 39/49 easy · avg 77% 0.9% maxed out
source results share of the score
Epoch AI 10 65% ▇▇▇▇▇▇▇▇
LMArena leaderboard dataset 5 26% ▇▇▇
Terminal-Bench 4.0 official leaderboard… 1 4% ▇
Roblox LLM Leaderboard 2 4% ▇
KlinikeBench: Evaluating Language Model… 1 1% ▇
prior: pull toward the middle 0% ▇
weighted average = 74.9
Licences: Epoch AI ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)) · LMArena leaderboard dataset ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)) · Terminal-Bench 4.0 official leaderboard submissions ([Apache-2.0](../../licenses/terminal-bench-leaderboard-submissions-Apache-2.0.txt)) · Roblox LLM Leaderboard ([MIT](../../licenses/roblox-llm-leaderboard-MIT.txt)) · KlinikeBench: Evaluating Language Models Beyond Diagnostic Accuracy ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/))
## How to run it
### Through an API
api (xAI) · $3.00/M blended · $2 in / $6 out per 1M tokens · [docs.x.ai](https://docs.x.ai/docs/models)
[price source](https://github.com/anomalyco/models.dev/blob/a668908cfe7073faa0363699486fc41a3ff52412/providers/xai/models/grok-4.6.toml): Standard base token rate from models.dev. Provider-specific tiers, long-context surcharges, caching and promotions may differ. · [context source](https://github.com/anomalyco/models.dev/blob/a668908cfe7073faa0363699486fc41a3ff52412/models/xai/grok-4.6.toml)
[interactive version](https://whatmodel.sh/model/grok-4-6) · [JSON](https://whatmodel.sh/api?format=json&all=1)