Grok 4.7 API model profile

Profile facts

Profile type

Kendr API model

Kendr API alias

kc-grok-4.7

Model developer

xAI

Kendr route provider

xAI

Context window

500K

Snapshot date

2026-10-13

Knowledge cutoff

Not disclosed

Reference catalog ID

x-ai/grok-4.7

When to pick Grok 4.7

Grok 4.7 is worth reaching for when you need a route scoring in the top quarter on the published intelligence index. The conditions below are the ones its own numbers support.

Each condition below is derived from this model's own values in the 2026-10-13 snapshot, compared only against models publishing the same field.

• Reach for it when answer quality matters more than unit cost. It scores 46.4 on the Artificial Analysis intelligence index, above three quarters of the 119 models carrying that field in the 2026-10-13 snapshot.
• Reach for it when the input includes images. The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described.
• Reach for it when the model has to call tools. Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose.
• Look elsewhere when the request is trivial and latency-sensitive. Reasoning is mandatory on this route and cannot be turned off, so short factual requests still pay reasoning tokens and reasoning latency.

Context, modalities, and identity

Grok 4.7 accepts text, image, and file and returns text. The snapshot records agentic, coding, file input, prompt caching, reasoning, reasoning controls, structured output, text generation, tool calling, tools, vision, web search, and web search pricing as capabilities or interfaces.

Model developer

xAI

Kendr route provider

xAI

Context window

500K

Maximum output

450,000 tokens

Input modalities

text, image, and file

Output modalities

text

Knowledge cutoff

Not disclosed

Model overview

Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering tasks, verifying its own work, and managing long context, and it improves on its predecessor at professional knowledge work such as drafting documents and presentations. The model was trained with a longer reinforcement learning run weighted toward problems that take many hours to complete, and natively understands the Grok Bot harness for conversational tasks. It ships with a new safeguard stack that pairs strong jailbreak resistance with low refusal rates for legitimate cybersecurity and biology work. SpaceXAI's reported benchmark results use the xhigh reasoning effort.

Reference model ID

x-ai/grok-4.7

Canonical version

x-ai/grok-4.7-20260916

Hugging Face ID

Not separately documented

Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

Supported parameters

include_reasoning, logprobs, max_tokens, reasoning, reasoning_effort, response_format, seed, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p

• agentic
• coding
• file input
• prompt caching
• reasoning
• reasoning controls
• structured output
• text generation
• tool calling
• tools
• vision
• web search
• web search pricing

Dated pricing snapshot

The dated reference snapshot lists $2 input and $6 output per million tokens. Cached input is $0.5 per million tokens. The separately published provider-route reference is $2 / $6 (Standard global inference; $0.50/M cache read; live route quote applies).

Reference figures are dated 2026-10-13; the live Kendr quote can differ by selected provider route, context tier, caching, tools, region, and current rate card.

Price date

2026-10-13

Input

$2 per 1M tokens

Cached input

$0.5 per 1M tokens

Output

$6 per 1M tokens

Provider routes, performance, and uptime

The snapshot retains 5 provider endpoints. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

Active provider endpoints

5

Best p50 latency

1.54 s

Best p50 throughput

62 tok/s

Availability with routing

76.29% over the sampled window

Availability without routing

75.57% over the sampled window

Performance date

2026-10-13

Benchmark evidence and limitations

The 2026-10-13 snapshot includes 1 Artificial Analysis index and 6 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Intelligence Index

46.4

Popularity and market context

Grok 4.7 ranked #37 in the cited trailing-7-day third-party catalog usage dataset as of 2026-10-13. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Third-party catalog rank

#37

Global market share

Not inferred

Observation date

2026-10-13

OpenAI-compatible API example

This example applies to the published Kendr alias on this hosted profile. Check the live public catalog before use.

curl https://api.kendr.org/v1/chat/completions \
  -H "Authorization: Bearer $KENDR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"kc-grok-4.7","messages":[{"role":"user","content":"Hello"}]}'

Frequently asked questions

Sources and evidence dates

1. Grok 4.7 third-party catalog record (catalog, checked 2026-10-13)
2. Third-party model catalog methodology (methodology, checked 2026-10-13)
3. xAI official model documentation (primary, checked 2026-10-13)
4. Artificial Analysis capability indices methodology (benchmark, checked 2026-10-13)
5. Design Arena leaderboard and methodology (benchmark, checked 2026-10-13)
6. Grok 4.7 provider or route reference (primary, checked 2026-10-13)