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xAI's reasoning model with a 1M-token context window and configurable reasoning effort, on by default.
Overview. Grok 4.3 is xAI's proprietary, closed-weight reasoning model, built for large-context work with a 1,000,000-token context window and text-plus-image input. Reasoning is enabled by default, with configurable effort levels ranging from none up to xhigh so developers can trade depth for speed. It suits teams that need a single model to hold very long documents or conversations in context without chunking.
Key strengths. Independent composite benchmarking places Grok 4.3 in the mid quality tier: its intelligence index sits well below frontier-band scores, though its coding index is comparatively stronger than its general and agentic scores. The model's defining strength is architectural rather than benchmark-topping — a full million tokens of context paired with a graduated reasoning-effort control (none through xhigh) gives fine-grained control over latency and depth in the same endpoint. Context caching is supported natively, reducing the overhead of reprocessing repeated long prompts.
When to use it. Reach for Grok 4.3 when a task genuinely needs the million-token context window — long-document analysis, large codebases, or extended multi-turn sessions — rather than raw peak reasoning quality. Its default low reasoning effort and interactive latency profile make it workable for user-facing, low-effort exchanges, while the higher effort settings suit deeper reasoning passes when time budget allows. It also accepts image inputs alongside text, so it's a reasonable fit for prompts that combine visual and textual context.
Limitations. Grok 4.3 does not accept or produce audio, and its agentic benchmark performance trails its coding and general scores, so it's a weaker fit for autonomous multi-step agent workflows than for single-pass reasoning or long-context retrieval. xAI has not disclosed parameter count, architecture class, or an exact training cutoff; the best available estimate places its training data through roughly late 2025. As a closed-weight model, it is only available as a hosted API, not for self-hosting.
Sovereignty note. Grok 4.3 is built by xAI, a US-based creator, and is subject to CLOUD Act exposure — it is not a Sovereign, EU-resident option. Data handling follows xAI's own API terms rather than an EU-jurisdiction residency guarantee.
| Inference Provider | Sovereignty | Runs in | In / out per 1M | Status | Pin |
|---|---|---|---|---|---|
| L0 | €1.12 / 2.24 | Online |
16 use cases classified by the curator. The note says why.
1M-token context supports full-document ingestion for Q&A without chunking, backed by extended reasoning.
Tool-calling is a first-class capability, making grok-4.3 a solid choice for structured function-calling applications.
Massive 1M context window is well-suited to processing multiple long papers or sources simultaneously.
Extended-thinking mode (on by default) combined with a 1M-token context window supports long-horizon planning chains.
1M-token context window lets the model ingest and synthesize across large document sets in a single pass.
Large context window handles long source documents in full, avoiding lossy chunked summarisation.
Artificial_analysis coding index of 42.2 is respectable but not class-leading; tool-calling support helps agentic workflows.
1M context can hold entire audit trails, but US-jurisdiction CLOUD Act exposure is a consideration for regulated audit workflows.
Reasoning-oriented design and extended-thinking mode aid root-cause analysis, but no bug-specific benchmark data exists to confirm strength.
1M-token context enables full-repository review, though the 42.2 coding index suggests mid-tier code judgment versus top coding specialists.
Extended-thinking reasoning and large context support multi-source analysis, though no math/data benchmarks are published for confidence.
Extended-thinking mode supports coherent long-form output, though no writing-specific benchmarks are published to confirm quality against peers.
Capabilities list has no vision support, so OCR tasks requiring image/document parsing are unsupported.
No vision capability is listed for grok-4.3, ruling it out for image-based Q&A.
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, ifbench, 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-4.3",
"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