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
Show daily values
| Date (UTC) | Active users | Tokens |
|---|---|---|
| Nov 6, 2026 | 2 | 14M |
| Nov 7, 2026 | 2 | 241.6M |
| Nov 8, 2026 | 3 | 245.1M |
| Nov 9, 2026 | 1 | 12.2M |
| Nov 10, 2026 | 1 | 8.9M |
| Nov 11, 2026 | 1 | 3.6M |
| Nov 12, 2026 | 0 | 0 |
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.
Grok Build89% of this model's tokens2active users
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.
- Epoch Capabilities IndexOverall · Epoch AI155.0
Epoch Capabilities Index: 155.0
- Model
- Grok 4.5
- Listed as
- Grok 4.5
- Conditions
- Not reported
- Interval
- 153.2–156.9
- Unit
- ECI
- Model released
- Jul 8, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
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-Bench12.4%
Terminal-Bench 4.1: 12.4%
- Model
- Grok 4.5
- Listed as
- Grok 4.5
- Conditions
- High · Grok Build
- Interval
- 9.8–15.0%
- Unit
- % resolved
- Published
- Nov 3, 2026
- Retrieved
- Nov 12, 2026
Source · Terminal-Bench 4.1 official leaderboard, tbench.ai
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 AI53.8%
DeepSWE: 53.8%
- Model
- Grok 4.5
- Listed as
- grok-4-5 (high)
- Conditions
- High · mini-swe-agent
- Interval
- 51.5–56.0%
- Unit
- pass@1
- Model released
- Jul 8, 2026
- Retrieved
- Nov 12, 2026
Source · DeepSWE results by Datacurve, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #18 of 26 matched modelsHigh · mini-swe-agentModel released Jul 8, 2026Source: deepswe.datacurve.ai (opens in a new tab) - WebDev ArenaWeb development · LMArena1,553
WebDev Arena: 1,553
- Model
- Grok 4.5
- Listed as
- Grok 4.5
- Conditions
- Not reported
- Interval
- 1546–1560
- Unit
- Arena score
- Published
- Oct 19, 2026
- Retrieved
- Oct 21, 2026
Source · LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset on Hugging Face), CC BY 4.0
Rank #38 of 110 matched modelsNo conditions reportedPublished Oct 19, 2026Source: huggingface.co (opens in a new tab) - GPQA DiamondReasoning · Epoch AI93.4%
GPQA Diamond: 93.4%
- Model
- Grok 4.5
- Listed as
- grok-4.5_high
- Conditions
- High
- Unit
- % correct
- Run date
- Jul 8, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
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 AI57.2%
FrontierMath Tiers 1–3 (v2): 57.2%
- Model
- Grok 4.5
- Listed as
- grok-4.5_high
- Conditions
- High
- Unit
- % solved
- Run date
- Jul 9, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
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 AI48.3%
SimpleQA Verified: 48.3%
- Model
- Grok 4.5
- Listed as
- grok-4.5_high
- Conditions
- High
- Unit
- % correct
- Run date
- Aug 27, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
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
- xAIReference
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 - OpenRouter
x-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 Gateway
spacexai/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
Mark Ferraz@mferraznw468.6Mtokens$76est. cost3active days$76 est. cost · 3 active days
- 2
Zhen Huang@ZhenHuangLab55.7Mtokens$83est. cost6active days$83 est. cost · 6 active days
- 3
黄凌苍@lingcang7281.1Mtokens<$1est. cost1active days<$1 est. cost · 1 active days
More from xAI
Other xAI models in the same period, by active users.
- Grok 4.76.9% adoption42active users
- Grok 4.61.8% adoption11active users
- Grok 4.7 Build Fast1.0% adoption6active users
- Grok Bot Default1.0% adoption6active users
- Grok 4.7 High Fast0.7% adoption4active users
- Grok Bot Automation0.7% adoption4active users
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.