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ModelCap

Grok 4.7

Arena #96No linked weights7d #54 → #54

xAI·#54 of 352 on the current board·cheaper than #38 Kimi K3.1 Pro

Grok 4.7 is a language model from xAI. It ranks #54 of 352 on ModelCap's current board, with an Index score of 67.5, measured on 5 public benchmarks. Its score range of 63.0–72.0 spans positions #37–#70. It is listed at $2.00 per million input tokens and $6.00 per million output tokens across 2 providers. It reads up to 500K tokens of context, with no downloadable weights linked in the current source data.

Figures as of 6 Nov 2026, 13:52 UTC · download the public dataset · methodology

ModelCap Index · Current board
67.5#54
Measured on 5 public benchmarks · range 63.0–72.0
Evidence as of 4 Nov 2026, 23:07 UTC
Market Gravity
47.2Increased by 0.2
Secondary market signal
Input
$2.00
per 1M tokens
Output
$6.00
per 1M tokens
Context
500K
tokens
Providers
2
6 endpoints
Gateway spend
3.35%
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Amazon BedrockglobalCheapest$2.00$6.00500K—100.0%
xAIzdr$2.00$6.00500K—100.0%
xAI$2.00$6.00500K—100.0%
xAIzdr/us$2.20$6.60500K—100.0%
xAIzdr/priority$4.00$12.00500K——
xAIpriority$4.00$12.00500K——

Reasoning efforts

Best supported result can inform ModelCap

Published Max, X-High, High and other configurations for this model. These are sourced scores, not head-to-head essays.

EffortAgent scoreSource rankSampleSource
X-High
Grok 4.7 (xHigh)
2.68%
CI 1.2–4.1%
#173.7M obs
19K sessions
LMArena Agent
Match 100%

Related community configurations

Human preference rating
ConfigurationRatingSource rankVotesSource
X-High
Grok 4.7 (xHigh)
1441
CI 1435–1447
#9616KLMArena
Match 100%

Other versions (4)

ModelCap Index · Current board

Methodology
67.5
Measured on 5 public benchmarks
Current board
#54 of 352
Score range
63.0–72.0
Rank range
#37–#70
Evidence as of
4 Nov 2026, 23:07 UTC
Benchmarks used
ARC-AGI-2 Verified, ARC-AGI-3 Verified, Arena Coding, Arena Overall, LMArena Agent
Technical details
Public rank basis
Measured (measured)
Evidence label
Measured · 5 public benchmark observations across 5 boards
Index support
68.3% · strong
Identity binding
Exact catalogue product · x-ai/x-ai/grok-4.7 · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
5
Qualified Index evidence point
67.5
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
67.5
Evidence status
confirmed · 91% mass
General preference
68.4
Coding
69.0
Agents & tools
59.4
Reasoning
51.4
Evidence breadth
100%
Evidence coverage
68%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
30.3
Liquidity (providers × uptime)
75.2
Open reach (HF downloads)
—
Surface (context / tools / modalities)
95.0
Freshness
84.0
  • · OpenRouter popularity #58
  • · 2 live providers
  • · Catalogue: context 500000, reasoning, tools, modalities Text/Image/File
  • · First seen 2026-09-21

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

BES evidence selected · measured input only

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Deployment readiness

Metadata index
50.9
partial · 56% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
90.0
Evaluation provenance
89.3

Not yet published: a pinned repository revision, the architecture and model type, a parameter count, safetensors weight metadata, the base model it derives from, a declared licence, a link to the licence terms, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
47.2
OpenRouter weekly popularity
#58 of 339

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

Status
Ranked
Source
LMArena
Official rank
#96 of 419
Rating
1441.2
95% confidence interval
1435–1447
Votes
16K
Source published at
28 Oct 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
30.3

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
75.2

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
84.0

Time since first public availability, on a six-month half-life.

Specification

Model ID
x-ai/grok-4.7
Context window
500K tokens
Declared output cap
450K tokens

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text, Image, File
Outputs
Text
Tokenizer
Grok
Cached input tokens
$0.50 / 1M
First seen on OpenRouter
21 Sept 2026

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Compare Grok 4.7 with

Pick any model

Benchmark leaderboards featuring Grok 4.7

All leaderboards
Public benchmark boards on which Grok 4.7 has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena text leaderboardArena (LMArena)14411435–1447#96 of 419X-High28 Oct 2026
Arena coding leaderboardArena (LMArena)14941483–1504#91 of 414X-High28 Oct 2026
LMArena Agent leaderboardLMArena2.7%1.2%–4.1%#17 of 58X-High4 Nov 2026
ARC-AGI-2 leaderboardARC Prize Foundation61.4%#79 of 280X-High4 Nov 2026
ARC-AGI-3 leaderboardARC Prize Foundation1.8%#56 of 114X-High4 Nov 2026
Artificial Analysis Intelligence IndexArtificial Analysis35.5#35 of 98X-High3 Nov 2026
Terminal-Bench 4.0 leaderboardTerminal-Bench (Laude Institute)37.6%34.0%–41.1%#21 of 35Grok Build · X-High21 Sept 2026

Alternatives to Grok 4.7, by the numbers

Ranked neighbours

Models within 3 places of #54 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked xAI models

The same publisher's other current models with a public Index position.

Grok 4.7: common questions

How does Grok 4.7 rank among AI models?

Grok 4.7 holds ModelCap Index position #54 of 352 ranked language models as of 6 November 2026, with an Index score of 67.5 (interval 63.0–72.0); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Grok 4.7 cost per 1M tokens?

Grok 4.7 is listed at $2.00 per 1M input tokens and $6.00 per 1M output tokens as of 6 November 2026 across 2 providers. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $7.00 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of Grok 4.7?

Grok 4.7 has a published context window of 500K tokens (500,000). The snapshot lists a 450,000 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Is Grok 4.7 open-weight?

No linked weights. No downloadable model weights are linked in the current source data. This does not identify every API or chat product that offers the model.

Which API providers serve Grok 4.7?

2 providers serve Grok 4.7 through OpenRouter as of 6 November 2026: Amazon Bedrock and xAI. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Grok 4.7 been evaluated on?

Grok 4.7 has published results on 7 public boards tracked by ModelCap as of 6 November 2026: Arena text 1441 (#96 of 419), Arena coding 1494 (#91 of 414), LMArena Agent 2.7% (#17 of 58), ARC-AGI-2 61.4% (#79 of 280) and ARC-AGI-3 1.8% (#56 of 114) and more. Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

How does Grok 4.7 compare with Grok 4.20 Multi-Agent?

Grok 4.7 ranks #54 (Index 67.5) and Grok 4.20 Multi-Agent ranks #23 (Index 77.9) on the ModelCap Index as of 6 November 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Grok 4.7 released?

Grok 4.7 first appeared in the catalogue on 21 Sept 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.