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Data

Data as of November 5, 2026 · How the score is built

Grok 4.7

Decision readingGrok 4.7 is tracked, but not publicly ranked yet. The profile exposes 19 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Released Sep 21, 2026 — see all recent releases

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

Unranked

field median 50.1Not eligible for a public rank

Price

$2input / $6 output

input median $0.65cached $0.50 · blended $4

Speed

101tok/s

field median 92 tok/sFirst token 40.11 s

Context

500Ktokens

field median 256,000Maximum output length is tracked separately

Strongest published evidence

Reasoning ranks #24. Particularly strong for complex reasoning, multi-step problem solving, and analytical tasks.

Validate before choosing

19 published rows leave some tracked benchmark slots empty.

Source-linked · 19 displayable benchmark rows

Grok 4.7 API pricing

Grok 4.7 costs $2.00 per million input tokens and $6.00 per million output tokens on the xAI API. Cached input is $0.50 per million.

Grok 4.7 API pricing, per million tokens
Token typePrice per 1M tokens
Input$2.00
Cached input$0.50
Output$6.00

At these rates, a request with 10,000 input tokens and 1,000 output tokens costs $0.03 without caching.

Pricing notes: xAI lists grok-4.7 at $2.00 input, $0.50 cached input, and $6.00 output per million tokens below 200K prompt tokens. Prompts above 200K use the published $4.00 / $1.00 / $12.00 long-context tier; BenchLM stores the short-context rate.

Rates from xAI Grok 4.7 model documentation, effective September 21, 2026. API model ID: grok-4.7. Price registry updated November 5, 2026.

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank Not rankedWeight 22%6 benchmarksVerified
73.6
CodingRank Not rankedWeight 20%6 benchmarksVerified
65.0
ReasoningRank #24 of 26Percentile 8thWeight 17%4 benchmarksVerified
58.8
MultimodalWeight 12%0 benchmarksNot measured
Not measured
KnowledgeRank Not rankedWeight 12%1 benchmarkVerified
63.0
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingWeight 5%0 benchmarksNot measured
Not measured
MathRank Not rankedWeight 5%2 benchmarksVerified
58.6

19 of 802 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic6/6 verified
  2. Coding6/6 verified
  3. Reasoning4/4 verified
  4. MultimodalNot measured
  5. Knowledge1/1 verified
  6. MultilingualNot measured
  7. Inst. FollowingNot measured
  8. Math2/2 verified
Verified sourceProvisionalNot measured

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding6 rows
Coding benchmark values, best verified comparison, weight, and source status
DeepSWEScore71.0%Versus best verified row

Best verified: Muse Wonder Full · 79.0%

Gap8 behindWeight15% ref. weight
FrontierSWE v2Score29.5%Versus best verified row

Best verified: GPT-6 Astra · 65.5%

Gap36 behindWeight8% ref. weight
CursorBench 4.0Score46.3%Versus best verified row

Best verified: Claude Opus 5.5 · 57.8%

Gap11.5 behindWeightDisplay only
EEBenchEEBench V1 core corpusScore64.0%Versus best verified row

Best verified: Grok 4.7 · 64.0%

GapBest verifiedWeightDisplay only
Bug Hunt BenchScore29.0 fixesVersus best verified row

Best verified: Claude Sonnet 5.5 · 51.3 fixes

Gap22.3 behindWeightDisplay only
FrontierCode 2.0Score28.6%Versus best verified row

Best verified: Claude Opus 5.5 · 45.5%

Gap16.9 behindWeightDisplay only
Agentic6 rows
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 4.0Score38.00%Versus best verified row

Best verified: Claude Sonnet 5.5 · 70.60%

Gap32.6 behindWeight8% ref. weight
Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI runScore73.4%Versus best verified row

Best verified: GPT-6 Astra · 87.3%

Gap13.9 behindWeight4% ref. weight
CWE-bench v1Score68.0%Versus best verified row

Best verified: Gemini 4 Carbon · 71.0%

Gap3 behindWeightDisplay only
Hermes IndexHermes Index: agentic capability and cost per task inside Hermes AgentScore39.3%Versus best verified row

Best verified: Claude Opus 5.5 · 63.3%

Gap24 behindWeightDisplay only
Hermes BenchHermes Bench: 150 agent tasks graded on the files and state the agent leaves behindScore74.4%Versus best verified row

Best verified: Claude Opus 5.5 · 76.7%

Gap2.4 behindWeightDisplay only
MazeBenchMazeBench: visual spatial reasoning in a 3D open worldScore1%Versus best verified row

Best verified: GPT-6 Astra · 23%

Gap22 behindWeightDisplay only
Reasoning4 rows
Reasoning benchmark values, best verified comparison, weight, and source status
ARC-AGI-2Abstraction and Reasoning Corpus for AGI v2Score61.4%Versus best verified row

Best verified: GPT-6 Astra · 95%

Gap33.6 behindWeightWeighted 25%
ARC-AGI-3Abstraction and Reasoning Corpus for AGI v3Score1.8%Versus best verified row

Best verified: GPT-6 Astra · 62.7%

Gap60.9 behindWeightWeighted 15%
ARC-AGI-1ARC-AGI-1 Semi-Private EvaluationScore89.50%Versus best verified row

Best verified: Claude Fable 5 · 98.50%

Gap9 behindWeightDisplay only
ARC-AGI-3 Provider AdapterARC-AGI-3 Semi-Private: Provider Adapter harnessScore7.02%Versus best verified row

Best verified: GPT-6 Astra · 98.55%

Gap91.5 behindWeightDisplay only
Knowledge1 row
Knowledge benchmark values, best verified comparison, weight, and source status
HealthBench ProfessionalScore56.7%Versus best verified row

Best verified: Claude Sonnet 5.5 · 69.2%

Gap12.5 behindWeightDisplay only
Math2 rows
Math benchmark values, best verified comparison, weight, and source status
FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3Score52.982%Versus best verified row

Best verified: GPT-6 Astra · 93.684%

Gap40.7 behindWeightWeighted 30%
FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4Score17.073%Versus best verified row

Best verified: GPT-6.1 Sol · 100.000%

Gap82.9 behindWeightWeighted 10%

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Apr 30, 2026

    Grok 4.3

    Score 52.9 · $1.25 / $2.5

  2. Jul 8, 2026

    Grok 4.5

    Score 63.0 · $2 / $6

  3. Aug 12, 2026

    Grok 4.6

    Score 66.7 · $2 / $6

  4. Sep 21, 2026 · you are here

    Grok 4.7

    Not publicly ranked · $2 / $6

Base entry

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

Maximum output
No text output limitxAI Grok 4.7 model documentation
Knowledge cutoff
May 2026xAI Grok 4.7 model documentation
Input modalities
text, imagexAI Grok 4.7 model documentation
Parameters
Not disclosed by the provider
Availability
xAI API · xAI US regional endpoint · Grok Build · Cursor · model gatewaysxAI Grok 4.7 model documentation
Cloud regions
Not tracked yet
API capabilities
Responses API · Chat Completions · function calling · structured outputs · web search · X search · code executionxAI Grok 4.7 model documentation
Prompt caching
Published at $0.50 per million cached input tokensxAI Grok 4.7 model documentation
Self-host
Weights are not published
Rate limits
150 RPS · 7,200 RPM · 50M TPMxAI Grok 4.7 model documentation

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track Grok 4.7, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.

Grok 4.7 is a proprietary model with a 500K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

Available through the xAI API, a United States regional endpoint at a 10% premium, Grok Build, Cursor, and supported model gateways. The API accepts text and image input and returns text.

Its explicit predecessor is Grok 4.6. 19 of 802 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Reasoning at #24. particularly strong for complex reasoning, multi-step problem solving, and analytical tasks.

Last updated November 5, 2026. Runtime fields remain blank until a sourced snapshot exists.

Deployment options

Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.

Where to run Grok 4.7 by API

OpenRouter is the one host we track that publishes a per-token price for it. Prices read from each host’s own pages on October 20, 2026.

Inference hosts for Grok 4.7 with input, output and cached-input prices per million tokens.
HostInput /1MOutput /1MCached /1MContext
OpenRouter$2.00$6.00$0.50500K
Compare inference hosts

Questions

How does Grok 4.7 perform overall in AI benchmarks?

Grok 4.7 has 19 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.

Is Grok 4.7 good for knowledge and understanding?

Grok 4.7 has source-displayable benchmark coverage for knowledge and understanding, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Grok 4.7 good for coding and programming?

Grok 4.7 has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Grok 4.7 good for mathematics?

Grok 4.7 has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Grok 4.7 good for reasoning and logic?

Grok 4.7 ranks #24 out of 26 eligible models for reasoning and logic, with a public category score of 58.8/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Grok 4.7 good for agentic tool use and computer tasks?

Grok 4.7 has source-displayable benchmark coverage for agentic tool use and computer tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Does Grok 4.7 have full benchmark coverage on BenchLM?

No. Grok 4.7 currently has 42 source-displayable rows. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Grok 4.7?

Grok 4.7 has a documented context window of 500K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.

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Compare Grok 4.7 with every tracked model1014 comparisons