Data as of November 5, 2026 · How the score is built
Released Sep 21, 2026500K contextxAI Grok 4.7 model documentation
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.
| Token type | Price 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 | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank Not rankedWeight 22%6 benchmarksVerified | 73.6 | 6 benchmarks | Verified | |||
| CodingRank Not rankedWeight 20%6 benchmarksVerified | 65.0 | 6 benchmarks | Verified | |||
| ReasoningRank #24 of 26Percentile 8thWeight 17%4 benchmarksVerified | 58.8 | 4 benchmarks | Verified | |||
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| KnowledgeRank Not rankedWeight 12%1 benchmarkVerified | 63.0 | 1 benchmark | Verified | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MathRank Not rankedWeight 5%2 benchmarksVerified | 58.6 | 2 benchmarks | Verified |
19 of 802 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow 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.
- Agentic6/6 verified
- Coding6/6 verified
- Reasoning4/4 verified
- MultimodalNot measured
- Knowledge1/1 verified
- MultilingualNot measured
- Inst. FollowingNot measured
- Math2/2 verified
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
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| DeepSWE | Score71.0% | Versus best verified row Best verified: Muse Wonder Full · 79.0% | Gap8 behind | Weight15% ref. weight | Provider exact |
| FrontierSWE v2 | Score29.5% | Versus best verified row Best verified: GPT-6 Astra · 65.5% | Gap36 behind | Weight8% ref. weight | Benchmark exact |
| CursorBench 4.0 | Score46.3% | Versus best verified row Best verified: Claude Opus 5.5 · 57.8% | Gap11.5 behind | WeightDisplay only | Benchmark exact |
| EEBenchEEBench V1 core corpus | Score64.0% | Versus best verified row Best verified: Grok 4.7 · 64.0% | GapBest verified | WeightDisplay only | Provider exact |
| Bug Hunt Bench | Score29.0 fixes | Versus best verified row Best verified: Claude Sonnet 5.5 · 51.3 fixes | Gap22.3 behind | WeightDisplay only | Benchmark exact |
| FrontierCode 2.0 | Score28.6% | Versus best verified row Best verified: Claude Opus 5.5 · 45.5% | Gap16.9 behind | WeightDisplay only | Benchmark exact |
Agentic6 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 4.0 | Score38.00% | Versus best verified row Best verified: Claude Sonnet 5.5 · 70.60% | Gap32.6 behind | Weight8% ref. weight | Provider exact |
| Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI run | Score73.4% | Versus best verified row Best verified: GPT-6 Astra · 87.3% | Gap13.9 behind | Weight4% ref. weight | |
| CWE-bench v1 | Score68.0% | Versus best verified row Best verified: Gemini 4 Carbon · 71.0% | Gap3 behind | WeightDisplay only | Benchmark exact |
| Hermes IndexHermes Index: agentic capability and cost per task inside Hermes Agent | Score39.3% | Versus best verified row Best verified: Claude Opus 5.5 · 63.3% | Gap24 behind | WeightDisplay only | Benchmark exact |
| Hermes BenchHermes Bench: 150 agent tasks graded on the files and state the agent leaves behind | Score74.4% | Versus best verified row Best verified: Claude Opus 5.5 · 76.7% | Gap2.4 behind | WeightDisplay only | Benchmark exact |
| MazeBenchMazeBench: visual spatial reasoning in a 3D open world | Score1% | Versus best verified row Best verified: GPT-6 Astra · 23% | Gap22 behind | WeightDisplay only | Benchmark exact |
Reasoning4 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| ARC-AGI-2Abstraction and Reasoning Corpus for AGI v2 | Score61.4% | Versus best verified row Best verified: GPT-6 Astra · 95% | Gap33.6 behind | WeightWeighted 25% | Benchmark exact |
| ARC-AGI-3Abstraction and Reasoning Corpus for AGI v3 | Score1.8% | Versus best verified row Best verified: GPT-6 Astra · 62.7% | Gap60.9 behind | WeightWeighted 15% | Benchmark exact |
| ARC-AGI-1ARC-AGI-1 Semi-Private Evaluation | Score89.50% | Versus best verified row Best verified: Claude Fable 5 · 98.50% | Gap9 behind | WeightDisplay only | Benchmark exact |
| ARC-AGI-3 Provider AdapterARC-AGI-3 Semi-Private: Provider Adapter harness | Score7.02% | Versus best verified row Best verified: GPT-6 Astra · 98.55% | Gap91.5 behind | WeightDisplay only | Benchmark exact |
Knowledge1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HealthBench Professional | Score56.7% | Versus best verified row Best verified: Claude Sonnet 5.5 · 69.2% | Gap12.5 behind | WeightDisplay only | Provider exact |
Math2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3 | Score52.982% | Versus best verified row Best verified: GPT-6 Astra · 93.684% | Gap40.7 behind | WeightWeighted 30% | Benchmark exact |
| FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4 | Score17.073% | Versus best verified row Best verified: GPT-6.1 Sol · 100.000% | Gap82.9 behind | WeightWeighted 10% | Benchmark exact |
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.
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- grok-4.7xAI Grok 4.7 model documentation
- Context window
- 500KxAI Grok 4.7 model documentation
- 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
- Output modalities
- textxAI 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
- Lifecycle
- activexAI Grok 4.7 model documentation
- 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.
| Host | Input /1M | Output /1M | Cached /1M | Context |
|---|---|---|---|---|
| OpenRouter | $2.00 | $6.00 | $0.50 | 500K |
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.