Grok 4.5

xAIKey grok-4.5Also reported as xai/grok-4.5, gcli/grok-4.5, grok/grok-4.5, combo/grok-4.5, grok-oauth/grok-4.5, grok2api/grok-4.5, cursor/grok-4.5, x-ai/grok-4.5, opencode-go/grok-4.5, bohe/grok-4.5, pool/grok-4.5, shuo/grok-4.5, cliproxy internal/grok-4.5, cliproxy/grok-4.5, dignal/x-ai/grok-4.5

Rank
#83
by active users
Active users
3
No change from 3 active users in the previous 7 days. vs previous 7 days
Adoption
0.5%
of 610 accounts
Tokens
525.4M
cache included
Est. cost
$159
at public list prices
First seen
Jun 11, 2026
in any submission

Nov 6–12, 2026 (UTC)610 accounts100% of tokens from an identified modelData through Nov 12, 2026, 07:55 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

0 active users on Nov 12, 2026

Daily active users for Grok 4.5, Nov 6, 2026 to Nov 12, 2026. Peak 3. Use the left and right arrow keys to read each day.320
Show daily values
Daily active users and tokens for Grok 4.5
Date (UTC)Active usersTokens
Nov 6, 2026214M
Nov 7, 20262241.6M
Nov 8, 20263245.1M
Nov 9, 2026112.2M
Nov 10, 202618.9M
Nov 11, 202613.6M
Nov 12, 202600

Token mix

How the 525.4M tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input12%
  • Output0.6%
  • Cache read87%
  • Cache write0%
  • Reasoning0.2%

Agents that carry Grok 4.5

Each agent's share of this model's tokens, and how many accounts used the model through it.

  1. Grok Build89% of this model's tokens2active users
  2. OpenClaw11% of this model's tokens1active users

Benchmarks

The best result for Grok 4.5 in each benchmark Tokscale tracks. Each benchmark has its own unit, run conditions and source, so compare a score only with other models on the same benchmark. Rank is among the models Tokscale matched in that benchmark. Agent rows also show Tokscale usage through that agent, side by side with the score. Usage does not explain the score.

All benchmarks
  • Epoch Capabilities IndexOverall · Epoch AI
    155.0
    Rank #46 of 158 matched modelsNo conditions reportedModel released Jul 8, 2026Source: epoch.ai (opens in a new tab)
  • Terminal-Bench 4.1Agentic coding · Terminal-Bench
    12.4%
    Rank #21 of 23 matched modelsHigh · Grok BuildPublished Nov 3, 2026Source: tbench.ai (opens in a new tab)

    Tokscale usage: Grok Build carried 89% of Grok 4.5 tokens in the last 7 days (2 active users).

  • DeepSWEAgentic coding · Datacurve, collected by Epoch AI
    53.8%
    Rank #18 of 26 matched modelsHigh · mini-swe-agentModel released Jul 8, 2026Source: deepswe.datacurve.ai (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,553
    Rank #38 of 110 matched modelsNo conditions reportedPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    93.4%
    Rank #20 of 160 matched modelsHighRun date Jul 8, 2026Source: epoch.ai (opens in a new tab)

    Near its ceiling: the top score is 96.5%, and Epoch AI estimates the reachable maximum at 97%. Differences between top models are small.

  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    57.2%
    Rank #48 of 90 matched modelsHighRun date Jul 9, 2026Source: epoch.ai (opens in a new tab)

    Near its ceiling: the top score is 95.1%, and Epoch AI estimates the reachable maximum at 95%. Differences between top models are small.

  • SimpleQA VerifiedKnowledge · Epoch AI
    48.3%
    Rank #35 of 86 matched modelsHighRun date Aug 27, 2026Source: epoch.ai (opens in a new tab)

Pricing

List prices from models.dev in US dollars per 1M tokens, retrieved Nov 12, 2026. xAI is the lab's own API and the reference price for the estimates below.

Price at real agent usageEstimate at list prices

What 1M tokens cost at the reference list price when they split into input, output and cache the way Tokscale users' agents used them. It is not what anyone paid.

At this model's mix
$0.55
Est. per 1M tokens
87% cache reads
At the community mix
$0.38
Est. per 1M tokens
96% cache reads
3:1 input/output blend
$3
Per 1M tokens at list prices
No cache

Cache reads were 87% of Grok 4.5 tokens in the last 7 days and 96% of all tokens. The 3:1 blend, (3 × input + output) ÷ 4, is the usual comparison and ignores cache.

Assumptions

  • xAI list prices per 1M tokens: input $2, output $6, cache read $0.30.
  • This model's mix is its own input, output, cache and reasoning tokens in the last 7 days.
  • The community mix is the tokens of every identified model in the last 7 days.
  • This is an estimate at list prices, not what anyone paid.
  • Reasoning tokens are priced as output.
  • Long-context tiers, batch pricing and discounts are not applied.
  • Token mixes come from public Tokscale submissions. Hidden accounts are excluded.
  • No cache-write price is listed, so cache writes are priced as input.

List prices by provider

  • xAIReferencegrok-4.5
    $2 input per 1M tokens$6 output per 1M tokens$0.30 cache read per 1M tokensCache write not listed500K tokens of context
  • OpenRouterx-ai/grok-4.5
    $2 input per 1M tokens$6 output per 1M tokens$0.30 cache read per 1M tokensCache write not listed500K tokens of context
  • Vercel AI Gatewayspacexai/grok-4.5
    $2 input per 1M tokens$6 output per 1M tokens$0.30 cache read per 1M tokensCache write not listed500K tokens of context

Specs

From models.dev (MIT), retrieved Nov 12, 2026, as the lab or the first listed provider reports them. A dash means models.dev does not list the value.

Context window
500K tokens
Max output
500K tokens
Input
Text, Image, PDF
Output
Text
Knowledge cutoff
— not listed
Release date
Jul 8, 2026
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used Grok 4.5 most in this period, by tokens. Hidden accounts are never listed.

  1. 1Mark Ferraz@mferraznw468.6Mtokens$76est. cost3active days$76 est. cost · 3 active days
  2. 2Zhen Huang@ZhenHuangLab55.7Mtokens$83est. cost6active days$83 est. cost · 6 active days
  3. 3黄凌苍@lingcang7281.1Mtokens<$1est. cost1active days<$1 est. cost · 1 active days

Other xAI models in the same period, by active users.

  1. Grok 4.76.9% adoption42active users
  2. Grok 4.61.8% adoption11active users
  3. Grok 4.7 Build Fast1.0% adoption6active users
  4. Grok Bot Default1.0% adoption6active users
  5. Grok 4.7 High Fast0.7% adoption4active users
  6. Grok Bot Automation0.7% adoption4active users
All models

Sources and attribution

Each score keeps its own source, unit and run conditions. Tokscale does not combine benchmarks into one score, and a missing score means the model was not evaluated, not that it scored zero.

  • Epoch AIEpoch Capabilities Index, Epoch's own runs and the external results it collects.CC BY 4.0 · Retrieved Nov 12, 2026 · Data through Nov 9, 2026Epoch AI, ‘Capabilities & benchmarking’. Published online at epoch.ai. Retrieved from https://epoch.ai/benchmarks.
  • LMArenaWebDev Arena and Agent Arena leaderboards.CC BY 4.0 · Retrieved Oct 21, 2026 · Data through Oct 19, 2026LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset), Hugging Face.
  • Terminal-BenchTerminal-Bench 4.1 official leaderboard rows (results only, no task content).Terms not stated · Retrieved Nov 12, 2026 · Data through Nov 11, 2026Terminal-Bench 4.1 leaderboard, tbench.ai. Every score links back to the leaderboard.
  • models.devSpecs and list prices per provider.MIT · Retrieved Nov 12, 2026models.dev, an open catalog of AI models (github.com/anomalyco/models.dev).
  • TokscaleActive users, tokens and token mix from public Tokscale submissions. Hidden accounts are excluded.How we count