Grok 4.7 is SpaceXAI's flagship reasoning model for coding, long-running agentic tasks, and knowledge work. It supports text, image, and file inputs with tool calling and structured outputs. Reasoning is always active, and requests above 200k input tokens use higher long-context rates. 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.
Added Sep 21, 2026
Context Window
500.0K
Max Output
500.0K
Avg output tokens (7d)
1.0K tokens
Input Price (Auto)
$1.60/1M
Output Price (Auto)
$4.80/1M
Cache Read (Auto)
$0.40/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
46.3
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
63.5%
Better than 91% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
1637 Elo
Better than 94% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1694 Elo
Better than 97% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
23.2%
Better than 80% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
77.0%
Better than 77% of models compared
Reasoning
HLE
Humanity's Last Exam
42.3%
Better than 90% of models compared
CritPt
Research-level physics reasoning
17.7%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
24.7%
Better than 77% of models compared
SciCode
Python programming for scientific computing
57.8%
Better than 90% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
47.4%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
29.3%
Legacy benchmarks
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
77.0%
Better than 77% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
59.8%
Last updated Oct 1, 2026
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