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xAI's reasoning-first flagship with a 500K-token context window, built for deep coding, agentic, and long-document knowledge work.
Key strengths. Reasoning is mandatory on Grok 4.7 rather than optional, with configurable effort levels from low up through xhigh, so the model always produces a visible reasoning trace before answering. xAI's own CursorBench comparison shows a clear gain over Grok 4.6 (46.3% vs 40.4%), consistent with a reasoning-first design built for coding, agentic, and knowledge-work tasks rather than general chat and writing. Long-context handling and self-verification are the two capabilities xAI specifically improved for this release, which shows up in stronger performance on coding, agentic, and professional knowledge-work tasks.
| Inference Provider | Sovereignty | Runs in | In / out per 1M | Status | Pin |
|---|---|---|---|---|---|
| L0 | €1.80 / 5.39 | Online |
22 use cases classified by the curator. The note says why.
Family's 76.8 coding index (grok-4.6) plus tool-calling and 500K context makes this variant well-suited for agentic coding tasks spanning large codebases.
Extended-thinking mode aids multi-step root-cause reasoning, and large context window supports tracing bugs across large codebases.
Extended-thinking and large context window support detailed, multi-file code explanation tasks.
500K context window allows full-repository code review; family coding index (76.8 on grok-4.6) indicates strong code reasoning carries to this variant.
500K context window is well above typical document lengths, enabling full-document Q&A without chunking.
Tool-calling support with prompt-caching enables reliable structured function-calling apps at scale without repeated context re-processing.
Tool-calling and vision together support browser automation agents, though family throughput (57.8 tok/s on grok-4.6) is a latency concern for interactive loops.
Vision capability supports chart data extraction workflows, though unverified against vision-specific benchmarks.
Extended-thinking mode supports multi-step analytical reasoning, though no data-analysis-specific benchmarks are published for this variant.
Vision capability supports document OCR workflows, though no OCR-specific benchmark is documented for this variant.
Vision capability enables image Q&A, but no vision benchmark scores are published for this specific variant.
Large context window supports long-document generation, though no family-specific writing benchmarks are documented for this variant.
Family throughput of 57.8 tokens/sec on grok-4.6 makes this a poor fit for latency-sensitive, real-time chatbot interactions.
No speech capability documented and family-level low throughput (57.8 tok/s) make this unsuitable for real-time voice agent latency requirements.
Sourced numbers, not our own evaluations. Percentiles are against the whole Stav catalogue.
Computed from aa-intelligence-index, gpqa-diamond, aa-engineering-index, aa-coding-index, livecodebench, terminal-bench-v4, aa-lcr.
curl https://api.stav.ai/v1/chat/completions \
-H "Authorization: Bearer $STAV_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "xai/grok-4.7",
"reasoning_effort": "high",
"messages": [{"role": "user", "content": "Hello!"}]
}'→ X-Stav-Request-Id · X-Stav-Model · X-Stav-Provider → X-Stav-Sovereignty-Level — the rung the request was served at