Grok 4.5 released
xAI · Model release
Source confirmed
Data as of October 7, 2026 · How the score is built
Superseded.xAI has newer models in this line:Grok 4.6
SupersededProprietaryReasoning
Released Jul 8, 2026500K context
Grok 4.5
Decision readingGrok 4.5 scores 64 out of 100 and ranks #39 of 216. This profile shows 17 source-displayable benchmark rows; its strongest eligible category is Knowledge at #19. API pricing is $2 input and $6 output per million tokens, with cached input at $0.3.
Released Jul 8, 2026 — see all recent releases
Grok 4.5 will be repriced, updated or retired. Get each notice with its source and date. Follow model changes
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
64/100
field median 52.1#39 of 216 ranked models
Public
#39of 216
Verified #24 of 83
Price
$2input / $6 output
input median $0.95cached $0.30 · blended $4
Speed
67tok/s
field median 97 tok/sFirst token 18.78 s
Context
500Ktokens
field median 256,000Reported for this model; direct source link not stored
Strongest published evidence
Knowledge ranks #19. Particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
Validate before choosing
17 published rows leave some tracked benchmark slots empty. Agentic is its lowest eligible category at #29.
Source-linked · 17 displayable benchmark rows
Follow model changesCategory 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 #29 of 122Percentile 77thWeight 22%4 benchmarksVerified | 57.6 | 4 benchmarks | Verified | |||
| CodingRank #27 of 146Percentile 82ndWeight 20%8 benchmarksMixed sources | 57.7 | 8 benchmarks | Mixed sources | |||
| ReasoningRank #28 of 28Percentile 0thWeight 17%3 benchmarksVerified | 50.4 | 3 benchmarks | Verified | |||
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| KnowledgeRank #19 of 174Percentile 90thWeight 12%2 benchmarksVerified | 67.0 | 2 benchmarks | Verified | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MathWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured |
17 of 665 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.
- Agentic4/4 verified
- Coding7/8 verified
- Reasoning3/3 verified
- MultimodalNot measured
- Knowledge2/2 verified
- MultilingualNot measured
- Inst. FollowingNot measured
- MathNot measured
Verified sourceProvisionalNot measured
Capability shape
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
Grok 4.5 category percentile values
- Agentic77th percentile
- Coding82nd percentile
- Reasoning0th percentile
- MultimodalNot eligible
- Knowledge90th percentile
- MultilingualNot eligible
- Instruction followingNot eligible
- MathNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#29/122
- Coding#27/146
- Reasoning#28/28
- MultimodalNot ranked
- Knowledge#19/174
- MultilingualNot ranked
- Inst. FollowingNot ranked
- MathNot ranked
Top decileTop quartileMid-fieldNot eligible
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.
Coding8 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench Pro | Score64.7% | Versus best verified row Best verified: Claude Opus 5.5 · 89.9% | Gap25.2 behind | Weight26% ref. weight | Provider exact |
| CursorBench 3.2 | Score66.7% | Versus best verified row Best verified: Claude Fable 5.1 · 73.4% | Gap6.7 behind | Weight10% ref. weight | Benchmark exact |
| LiveCodeBench (Vals)LiveCodeBench, Vals AI run | Score87.4% | Versus best verified row Best verified: Claude Fable 5.1 · 90.5% | Gap3.1 behind | Weight8% ref. weight | |
| SWE Multilingual | Score78% | Versus best verified row Best verified: Claude Opus 5.5 · 93.9% | Gap15.9 behind | Weight5% ref. weight | Secondary exact |
| VulcanBench v3 | Score89.9% | Versus best verified row Best verified: Grok 4.5 · 89.9% | GapBest verified | Weight3% ref. weight | Benchmark exact |
| Terminal-Bench 2.1 | Score83.3% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap9.5 behind | WeightScored in Agentic | Provider exact |
| SWE-bench (Vals)SWE-bench, Vals AI run | Score86.6% | Versus best verified row Best verified: Claude Opus 5 · 97.0% | Gap10.4 behind | WeightDisplay only | Verified |
| PostTrainBench v1.1 | Score23.4% | Versus best verified row Best verified: Claude Opus 5.5 · 49.3% | Gap25.9 behind | WeightDisplay only | Benchmark exact |
Agentic4 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.1 | Score83.3% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap9.5 behind | Weight8% ref. weight | Provider exact |
| Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI run | Score67.8% | Versus best verified row Best verified: GPT-6 Astra · 87.3% | Gap19.5 behind | Weight3% ref. weight | |
| Terminal-Bench 3.0 | Score15.7% | Versus best verified row Best verified: Claude Opus 5 · 42.7% | Gap27 behind | Weight3% ref. weight | Benchmark exact |
| deepSwe | Score53% | Versus best verified row Best verified: Muse Spark 1.1 · 53.3% | Gap0.3 behind | WeightDisplay only | Provider exact |
Reasoning3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| ARC-AGI-2Abstraction and Reasoning Corpus for AGI v2 | Score52.6% | Versus best verified row Best verified: GPT-6 Astra · 95% | Gap42.4 behind | WeightWeighted 25% | Benchmark exact |
| ARC-AGI-3Abstraction and Reasoning Corpus for AGI v3 | Score0.3% | Versus best verified row Best verified: GPT-6 Astra · 62.7% | Gap62.4 behind | WeightWeighted 15% | Benchmark exact |
| ARC-AGI-1ARC-AGI-1 Semi-Private Evaluation | Score85.67% | Versus best verified row Best verified: GPT-6 Astra · 98.50% | Gap12.8 behind | WeightDisplay only | Benchmark exact |
Knowledge2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMLU-Pro (Vals)MMLU-Pro, Vals AI run | Score89.2% | Versus best verified row Best verified: Claude Fable 5.1 · 92.4% | Gap3.2 behind | Weight6% ref. weight | Verified |
| GPQA Diamond (Vals)GPQA Diamond, Vals AI run | Score92.9% | Versus best verified row Best verified: Gemini 3.1 Pro · 95.5% | Gap2.6 behind | Weight2% ref. weight |
Bars run 0–100; the dark tick marks the best source-verified value
All 17 rowsWhat it costs to get this score
Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.
Current modelExplore all models
Grok 4.5 · 64.0 score · $4 blended per million tokens
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Horizontal: blended price per million tokens, log scale · Vertical: public score
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.
Radar
Full release historyGrok 4.5 release history
Radar confirmed these at the source. Use Grok 4.5 in your work? Explore Radar to follow supported changes and choose your alerts.
Radar
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
- Not published
- Context window
- 500K
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not disclosed by the provider
- Availability
- Not sourced yet
- Cloud regions
- Not tracked yet
- Lifecycle
- Superseded
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Published at $0.30 per million cached input tokens
- Self-host
- Weights are not published
- Rate limits
- Not tracked yet
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.
Grok 4.5 ranks #39 of 216 on the public leaderboard with a score of 63.97/100. Its source-verified position is #24 of 83.
Grok 4.5 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.
Tracked from xAI's official Grok 4.5 API model documentation and July 8, 2026 launch post. xAI lists model name grok-4.5, aliases grok-4.5-latest and grok-build-latest, text and image input with text output, reasoning support, function calling, structured outputs, 500K context, us-east-1/us-west-2 availability, and 150 requests/sec plus 50M tokens/minute rate limits. BenchLM maps exact launch rows for Terminal-Bench 2.1, SWE-bench Pro, and DeepSWE 1.1, plus Cursor's launch-row SWE-bench Multilingual result and CursorBench v3.2 High row. Cursor notes Grok 4.5 has an advantage on CursorBench v3.2 because an earlier Cursor codebase snapshot was accidentally included in training, so BenchLM keeps the CursorBench row display-only and caveated. Grok 4.5 remains ranking-ineligible until the launch rows are fully normalized against BenchLM's weighted model-only rules.
Its explicit predecessor is Grok 4.3. 17 of 665 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Knowledge at #19, while its lowest eligible position is Agentic at #29. particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
Last updated October 7, 2026. Runtime fields remain blank until a sourced snapshot exists.
Questions
How does Grok 4.5 perform overall in AI benchmarks?
Grok 4.5 ranks #39 out of 216 models on the public BenchAlign leaderboard, with a score of 63.97/100. Its evidence status is Supported, and this profile shows 17 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is Grok 4.5 good for knowledge and understanding?
Grok 4.5 ranks #19 out of 174 eligible models for knowledge and understanding, with a public category score of 67/100. 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 4.5 good for coding and programming?
Grok 4.5 ranks #27 out of 146 eligible models for coding and programming, with a public category score of 57.7/100. 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 4.5 good for reasoning and logic?
Grok 4.5 ranks #28 out of 28 eligible models for reasoning and logic, with a public category score of 50.4/100. 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 4.5 good for agentic tool use and computer tasks?
Grok 4.5 ranks #29 out of 122 eligible models for agentic tool use and computer tasks, with a public category score of 57.6/100. 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.
Does Grok 4.5 have full benchmark coverage on BenchLM?
No. Grok 4.5 currently has 32 source-displayable rows across 665 tracked benchmark slots. 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 4.5?
Grok 4.5 has a reported context window of 500K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.