Grok 4.5
Grok 4.5 is SpaceXAI's frontier reasoning model for coding, knowledge work, and STEM. It supports text, image, and file inputs with tool calling and structured outputs. Reasoning is always active. Content policy rejections can still be charged: SpaceXAI may pass through a $0.05 moderation-failure fee, or a $0.055 usage-guidelines violation fee, depending on which rejection upstream returns.
- Reasoning
- Vision
- Tool Calling
- Structured Output
Added Jul 8, 2026
Pricing
Auto routing · per 1M tokens- Input
- $2.00
- Output
- $6.00
- Cache read
- $0.30
Specifications
- Context window
- 500K
- Max output
- 500K
- Avg output (7d)
- 1.4K tokens
- Longer than 83% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
38.8
Coding Index
72.4
Agentic Index
41.2
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
57.9%
Better than 81% of models compared
Harvey LAB-AA
Legal agentic work criterion pass rate
92.4%
Better than 77% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
1280 Elo
Better than 70% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1389 Elo
Better than 75% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
18.8%
Better than 68% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
79.3%
Better than 83% of models compared
MLCR-AA
Medical long-context reasoning
15.0%
Better than 47% of models compared
Reasoning
HLE
Humanity's Last Exam
42.7%
Better than 91% of models compared
CritPt
Research-level physics reasoning
15.4%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
10.6%
Better than 62% of models compared
SciCode
Python programming for scientific computing
55.0%
Better than 77% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
51.5%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
54.1%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
93.1%
Better than 96% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
79.3%
Better than 83% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
44.3%
Last updated Oct 14, 2026
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