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xAI's chain-of-thought reasoning model in the Grok 4.20 generation, built for deliberate multi-step inference across text and image input.
Overview. Grok 4.20 0309 (Reasoning) is xAI's chain-of-thought variant within the Grok 4.20 generation, designed for deliberate, step-by-step inference rather than quick pattern completion. It accepts text and image input and returns text, and it is a closed, proprietary model with no public weights. Developers reach for it when a task specifically benefits from extended reasoning, though xAI's newer Grok 4.3, 4.5, and 4.6 generations have since superseded it as the vendor's current flagship line.
Key strengths. The pinned snapshot scores 37.4 on Artificial Analysis's Intelligence Index, and its reasoning is always-on for this model id rather than an optional toggle. xAI positions the model for math-, code-, and research-heavy work, since structured chain-of-thought is designed to improve accuracy on multi-step problems. It also carries a 1M-token context window per xAI's live API configuration, giving it room to hold substantial text-plus-image context within a single reasoning pass.
When to use it. Use this model for tasks that genuinely benefit from multi-step deliberation — checking a math derivation, tracing through code logic, or working through a research question — rather than for fast, single-turn chat. Because reasoning is always-on for this pinned id, expect batch-style response times, so it fits asynchronous or offline workflows better than latency-sensitive front-ends. Its text+image input also makes it usable where visual context needs to feed directly into the reasoning chain.
Limitations. Its Intelligence Index (37.4) trails xAI's later Grok 4.3, 4.5, and 4.6 releases on Artificial Analysis's benchmark, and always-on chain-of-thought reasoning means slower responses than non-reasoning Grok variants. Training data cutoff is reported at approximately September 2025, and xAI has not published parameter counts, architecture details, or a maximum output token limit for this model.
Sovereignty note. Grok 4.20 0309 (Reasoning) is a proprietary, closed-weight model served through xAI's own API, with no public model weights available. No data-residency, CLOUD Act exposure, or training-on-input disclosures were found for this model, so no Sovereign designation applies.
| Inference Provider | Sovereignty | Runs in | In / out per 1M | Status | Pin |
|---|---|---|---|---|---|
| L0 | €1.13 / 2.27 | Online |
18 use cases classified by the curator. The note says why.
Tool-calling plus extended-thinking reasoning enables multi-step autonomous coding workflows requiring planning and verification.
Chain-of-thought reasoning is well matched to root-cause analysis tasks requiring deliberate step-by-step inference.
Reasoning-focused architecture with large context window supports deep review of full codebases in a single pass.
Described as built for math and research-heavy tasks with deliberate reasoning, well-suited to structured analytical workflows.
Large 1M context window supports full-document ingestion; reasoning mode aids precise, multi-step answer derivation over long texts.
Explicit tool-calling capability makes this a solid fit for structured function-calling application backends.
Large context window supports whole-file/module refactoring, though no refactoring-specific benchmark is cited.
1M context window can hold entire regulatory documents; reasoning mode aids careful clause-level extraction, though no compliance-specific benchmarks are cited.
Large context window supports summarizing lengthy documents, though the model is optimized more for reasoning depth than concise output generation.
Reasoning capability and code-oriented design support generating structured test cases, though not a specialized strength area.
No vision capability listed; chart extraction requires image understanding this model does not support.
No vision/OCR capability listed for this model.
No vision capability listed for this model — text/tool-calling and reasoning only.
No vision capability listed; screenshot understanding requires image input support absent here.
Sourced numbers, not our own evaluations. Percentiles are against the whole Stav catalogue.
Computed from aa-intelligence-index, gpqa-diamond, ifbench, aa-multilingual-index, 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-4.20-0309-reasoning",
"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