Grok 4.6
Grok 4.6 builds on Grok 4.5 with a particular focus on long-running agents and more ambitious interactive and visual work.
text + image → text · made by xAI
$2→$6per Mtok in / out
xAI · 13 sellers
Sold by 18 ways
| Seller | Lane | Rate |
|---|---|---|
| Google Vertex AI cloud | standard | $2per Mtok in$6per Mtok out$0.5per Mtok cachedmodels.dev · read 2026-09-16 |
| Microsoft Azure AI cloud | standard | $2per Mtok in$6per Mtok out$0.5per Mtok cachedraw.githubusercontent.com · read 2026-09-16 |
| xAI api | standard | $2per Mtok in$6per Mtok out$0.5per Mtok cacheddocs.x.ai · read 2026-08-25 |
| AWS Bedrock cloud | standard | $2.2per Mtok in$6.6per Mtok out$0.55per Mtok cachedmodels.dev · read 2026-09-16 |
| Databricks cloud | standard | $2.5per Mtok in$7.5per Mtok out$0.63per Mtok cached$2.5per Mtok cache writeraw.githubusercontent.com · read 2026-09-16 |
| xAI api | long-context | $4per Mtok in$12per Mtok out$1per Mtok cacheddocs.x.ai · read 2026-08-25 |
| ElectronHub aggregator | standard | $2per Mtok in$6per Mtok outapi.electronhub.ai · read 2026-09-16 |
| GitHub Copilot aggregator | standard | $2per Mtok in$6per Mtok out$0.5per Mtok cachedmodels.dev · read 2026-09-16 |
| Inference.net aggregator | standard | $2per Mtok in$6per Mtok out$0.5per Mtok cachedapi.inference.net · read 2026-09-16 |
| Nous Research aggregator | standard | $2per Mtok in$6per Mtok out$0.000002per image$0.5per Mtok cachedinference-api.nousresearch.com · read 2026-09-12 |
| OpenRouter 4 ways | $2per Mtok in$6per Mtok out$0.5per Mtok cached | |
| OpenRouter aggregator | standard | $2per Mtok in$6per Mtok out$0.5per Mtok cachedopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | amazon-bedrock/us-west-2 | $2.2per Mtok in$6.6per Mtok out$0.55per Mtok cachedopenrouter.ai · read 2026-08-26 |
| OpenRouter aggregator | xai/priority | $4per Mtok in$12per Mtok out$1per Mtok cachedopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | xai/zdr/priority | $4per Mtok in$12per Mtok out$1per Mtok cachedopenrouter.ai · read 2026-08-25 |
| Requesty aggregator | xai | $2per Mtok in$6per Mtok out$0.5per Mtok cachedrouter.requesty.ai · read 2026-08-28 |
| Vercel AI Gateway aggregator | standard | $2per Mtok in$6per Mtok out$0.5per Mtok cachedvercel.com · read 2026-08-25 |
| Vercel AI Gateway aggregatornot on the seller's list today | sandbox | $2per Mtok in$6per Mtok outvercel.com · read 2026-08-25 |
| Venice AI aggregator | standard | $2.27per Mtok in$6.8per Mtok out$0.57per Mtok cachedmodels.dev · read 2026-09-16 |
Measured 56 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 3rdof 74 | Cursorbench — Epoch AI | Score (xhigh) | 70.8 |
| 3rdof 55 | Design Arena · androidnative (agents) | Elo | 1288 |
| 3rdof 161 | Dtbench — Epoch AI | Accuracy (xhigh) | 97.33 |
| 4thof 60 | Vending bench 2 — Epoch AI | Score | 9047.033 |
| 4thof 60 | Vending-Bench 2 — Current leaderboard | Money Balance (average across 5 runs) | 9047.03 |
| 5thof 36 | Design Arena · htmlslides (agents) | Elo | 1253 |
| 5thof 30 | Frontiercode — Epoch AI | Main score | 0.48 |
| 5thof 9 | Frontierswe — Epoch AI | Score (xhigh) | 25.286 |
| 6thof 24 | Blueprint bench 2 — Epoch AI | Score | 33.189 |
| 7thof 21 | Ebr bench — Epoch AI | mean_score (xhigh) | 30.476 |
| 7thof 121 | Webdev arena — Epoch AI | Arena Score (high) | 1628.84 |
| 8thof 65 | Apex agents — Epoch AI | Pass@1 score | 0.412 |
| 8thof 143 | Artificial Analysis · Agentic Index | Index | 53.4 |
| 8thof 313 | GPQA Diamond | mean_score (high) | 94.003 |
| 8thof 102 | Simplebench — Epoch AI | Score (AVG@5) | 0.759 |
| 9thof 184 | Artificial Analysis · Coding Index | Index | 76.8 |
| 9thof 63 | Design Arena · mobileapps (agents) | Elo | 1264 |
| 10thof 64 | Design Arena · fullstack (agents) | Elo | 1274 |
| 11thof 92 | Design Arena · asciiart (models) | Elo | 1296 |
| 11thof 62 | Design Arena · webapps (agents) | Elo | 1264 |
| 11thof 290 | OTIS Mock AIME 2024-2025 | mean_score (xhigh) | 99.167 |
| 13thof 128 | LMArena · WebDev | Score (Elo) (high) | 1618 |
| 14thof 112 | Ale bench — Epoch AI | Performance (xhigh) | 1508.08 |
| 16thof 40 | Design Arena · agenticgamedev (agents) | Elo | 1210 |
| 16thof 64 | Proofbench — Epoch AI | Accuracy | 51 |
| 17thof 39 | ARC-AGI-3 (Semi-Private) | Score (%) (xhigh) | 2.11 |
| 17thof 156 | Design Arena · codecategories (models) | Elo | 1309 |
| 17thof 155 | Design Arena · gamedev (models) | Elo | 1322 |
| 17thof 43 | Design Arena · python-pptxslides (agents) | Elo | 1241 |
| 17thof 127 | Mystery game puzzles — Epoch AI | mean_score (xhigh) | 34 |
| 18thof 39 | Gdp pdf — Epoch AI | GDP.pdf score (xhigh) | 0.172 |
| 18thof 123 | Lmca — Epoch AI | Score (xhigh) | 48.45 |
| 19thof 152 | Design Arena · dataviz (models) | Elo | 1304 |
| 19thof 109 | Design Arena · svg (models) | Elo | 1265 |
| 19thof 162 | Design Arena · website (models) | Elo | 1305 |
| 20thof 69 | Deepswe — Epoch AI | Pass@1 (medium) | 0.675 |
| 21stof 302 | Artificial Analysis · Intelligence Index | Artificial Analysis Intelligence Index (high) | 44 |
| 21stof 150 | Design Arena · uicomponent (models) | Elo | 1314 |
| 21stof 106 | Frontiermath tiers 1 3 v2 — Epoch AI | mean_score (xhigh) | 65.965 |
| 23rdof 147 | Design Arena · 3d (models) | Elo | 1306 |
| 23rdof 80 | Simpleqa verified — Epoch AI | mean_score (high) | 49.3 |
| 24thof 222 | Chess puzzles — Epoch AI | mean_score (high) | 40 |
| 26thof 62 | Frontiermath tier 4 v2 — Epoch AI | mean_score (xhigh) | 31.707 |
| 28thof 168 | Scicode — Epoch AI | Score (medium) | 54.63 |
| 35thof 205 | ARC-AGI-1 (Public Eval) | Score (%) (xhigh) | 96.25 |
| 35thof 46 | LMArena · Agent | Net Improvement (%) | 2.01 |
| 35thof 152 | LMArena · Vision | Score (Elo) (high) | 1265 |
| 35thof 170 | Weirdml — Epoch AI | Accuracy (high) | 67.29 |
| 36thof 177 | Critpt — Epoch AI | Accuracy (xhigh) | 19.714 |
| 45thof 216 | ARC-AGI-2 (Public Eval) | Score (%) (xhigh) | 68.33 |
| 46thof 232 | ARC-AGI-2 (Semi-Private) | Score (%) (xhigh) | 67.08 |
| 52ndof 227 | Arc agi 2 — Epoch AI | Score (xhigh) | 67.083 |
| 63rdof 230 | ARC-AGI-1 (Semi-Private) | Score (%) (medium) | 87.5 |
| 63rdof 402 | LMArena · Text | Score (Elo) (high) | 1456 |
| 73rdof 244 | Arc agi — Epoch AI | Score (medium) | 87.5 |
| 89thof 656 | Epoch capabilities index — Epoch AI | ECI Score (high) | 156.33 |
About
Grok 4.6 — a text model from xAI, sold by 13 companies from $2 in and $6 out per million tokens, placed 3rd of 161 on Dtbench — Epoch AI.
It takes text and images and returns text, with a context window of 500,000 tokens. It was published in August 2026, trained on material up to February 2026. Its sellers say it can reason step by step and call a tool. The catalogue files it under reasoning, code and agents. Thirteen companies sell it. The cheapest is $2 in and $6 out per million tokens at ElectronHub. Beside the standard rate there are regional, faster and separately routed lanes. It has been measured on 56 boards, and stands best at 3rd of 161 on Dtbench — Epoch AI.
Every current figure
- Maker
- xAI
- Register
- model
- Takes
- text + image
- Returns
- text
- Context
- 500,000 tokens
- Published
- August 2026
- Knowledge to
- February 2026
- Licence
- not read
- Sellers
- 13
- Price
- $2 in and $6 out per million tokens — ElectronHub
- Boards
- 56
- Best place
- 3rd of 161 — Dtbench — Epoch AI
Known as 11 names
Grok 4.6 (high)Grok 4.6 (low)Grok 4.6 (medium)Grok 4.6 (xhigh)grok-4.6_xhighgrok-4.6_highgrok-4.6-highx-ai/grok-4.6xai/grok-4.6spacexai/grok-4.6grok-4.6