Capability
68/100
field median 56.2
#25 of 232 ranked models
Superseded.xAI has newer models in this line:Grok 4.6
Grok 4.5
Released Jul 8, 2026 — see all recent releases
Decision reading
Grok 4.5 scores 68 out of 100 and ranks #25 of 232. This profile shows 15 source-displayable benchmark rows; its strongest eligible category is Knowledge at #14. API pricing is $2 input and $6 output per million tokens, with cached input at $0.3.
Data as of September 15, 2026 · How the score is built
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Strongest published evidence
Knowledge ranks #14. Particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
Validate before choosing
15 published rows leave some tracked benchmark slots empty. Agentic is its lowest eligible category at #21.
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.
Price
$2input / $6 output
input median $0.95
cached $0.30 · blended $4
Speed
60tok/s
field median 91 tok/s
First token 6.84 s
Context
500Ktokens
field median 256,000
Reported for this model; direct source link not stored
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
- Agentic87th percentile
- Coding90th percentile
- Reasoning0th percentile
- Knowledge93rd percentile
- MathNot eligible
- MultilingualNot eligible
- MultimodalNot eligible
- Instruction followingNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#21/153
- Coding#16/152
- Reasoning#20/20
- Knowledge#14/183
- MathNot ranked
- MultilingualNot ranked
- MultimodalNot ranked
- Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible
What 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.
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Current modelGrok 4.5 · 68.0 score · $4 blended per million tokens
Horizontal: blended price per million tokens, log scale · Vertical: public score
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.
- Agentic4/4 verified
- Coding6/7 verified
- Reasoning2/2 verified
- Knowledge2/2 verified
- MathNot measured
- MultilingualNot measured
- MultimodalNot measured
- Inst. FollowingNot measured
Verified sourceProvisionalNot measured
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
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 #21 of 153Percentile 87thWeight 22%4 benchmarksVerified | 60.0 | #21 of 153 | 87th | 22% | 4 benchmarks | Verified |
| CodingRank #16 of 152Percentile 90thWeight 20%7 benchmarksMixed sources | 62.1 | #16 of 152 | 90th | 20% | 7 benchmarks | Mixed sources |
| ReasoningRank #20 of 20Percentile 0thWeight 17%2 benchmarksVerified | 44.8 | #20 of 20 | 0th | 17% | 2 benchmarks | Verified |
| KnowledgeRank #14 of 183Percentile 93rdWeight 12%2 benchmarksVerified | 69.4 | #14 of 183 | 93rd | 12% | 2 benchmarks | Verified |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not 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.
Coding7 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench Pro | Score64.7% | Versus best verified row Best verified: Claude Fable 5.1 · 81.2% | Gap16.5 behind | WeightWeighted 25% | Provider exact |
| LiveCodeBench (Vals)LiveCodeBench, Vals AI run | Score87.4% | Versus best verified row Best verified: Claude Fable 5.1 · 90.5% | Gap3.1 behind | WeightWeighted 15% | |
| CursorBench 3.2 | Score66.7% | Versus best verified row Best verified: Claude Fable 5.1 · 73.4% | Gap6.7 behind | WeightWeighted 10% | Benchmark exact |
| SWE Multilingual | Score78% | Versus best verified row Best verified: Claude Opus 5 · 89.5% | Gap11.5 behind | WeightWeighted 5% | Secondary exact |
| Terminal-Bench 2.0 | Score83.3% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap8.6 behind | WeightDisplay only | Provider exact |
| VulcanBench v3 | Score89.9% | Versus best verified row Best verified: Grok 4.5 · 89.9% | GapBest verified | WeightDisplay only | Benchmark 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 |
Agentic4 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.0 | Score83.3% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap8.6 behind | WeightWeighted 30% | Provider exact |
| Terminal-Bench 3.0 | Score15.7% | Versus best verified row Best verified: Claude Opus 5 · 42.7% | Gap27 behind | WeightDisplay only | Benchmark exact |
| deepSwe | Score53% | Versus best verified row Best verified: Muse Spark 1.1 · 53.3% | Gap0.3 behind | WeightDisplay only | 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 | WeightDisplay only |
Reasoning2 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 |
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 | WeightWeighted 10% | 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 | WeightDisplay only |
Lineage
The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Apr 30, 2026
Grok 4.3Score 59.8 · $1.25 / $2.5
Jul 8, 2026 · you are here
Grok 4.5Score 68.0 · $2 / $6
Aug 12, 2026
Grok 4.6Score 69.9 · $2 / $6
Base entry
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 #25 of 232 on the public leaderboard with a score of 68.03/100. Its source-verified position is #20 of 130.
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. 15 of 439 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Knowledge at #14, while its lowest eligible position is Agentic at #21. particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
Radar
Full release historyGrok 4.5 release history
Grok 4.5 released
xAI · Model release
Source confirmed
Radar confirmed these at the source. Use Grok 4.5 in your work? Explore Radar to follow supported changes and choose your alerts.
Frequently asked questions
How does Grok 4.5 perform overall in AI benchmarks?
Grok 4.5 ranks #25 out of 232 models on the public BenchAlign leaderboard, with a score of 68.03/100. Its evidence status is Supported, and this profile shows 15 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 #14 out of 183 eligible models for knowledge and understanding, with a public category score of 69.4/100. 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 coding and programming?
Grok 4.5 ranks #16 out of 152 eligible models for coding and programming, with a public category score of 62.1/100. 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 #20 out of 20 eligible models for reasoning and logic, with a public category score of 44.8/100. 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 4.5 good for agentic tool use and computer tasks?
Grok 4.5 ranks #21 out of 153 eligible models for agentic tool use and computer tasks, with a public category score of 60/100. 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 31 source-displayable rows across 439 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.
Compare Grok 4.5 with every tracked model485 comparisons
Last updated September 15, 2026. Runtime fields remain blank until a sourced snapshot exists.
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