Grok 4.3
xAI's frontier LLM with a 1M context, built-in reasoning, vision, web search, and tool use — run privately with zero retention.
Overview
What is Grok 4.3
Grok 4.3 is xAI's frontier LLM with built-in reasoning, released in 2026. It combines a one-million-token context window with native vision, function calling, web search, and structured output. Designed for complex multi-step agents and enterprise document analysis, it delivers high throughput at a competitive token price.
Running it privately on Venice
On Venice, Grok 4.3 runs with zero retention — your prompts are never stored or used for training. You get the full model with vision, reasoning, function calling, and web search, paying only per token with no subscription. It is a private, permissionless way to run a frontier agentic model without feeding your data into centralized surveillance systems.
Assessment
Strengths and limitations
- 1,000,000-token context window supports entire codebases, long contracts, or extensive transcripts in a single request.
- Native vision and multiple image inputs let it analyze documents, charts, and photos alongside text without pre-processing.
- Built-in reasoning, web search, and function calling enable autonomous multi-step agents that retrieve live data and execute tools.
- Strong structured output (JSON schema) support for reliable, parseable integrations into apps and pipelines.
- Competitive per-token throughput and pricing for a frontier model with this breadth of capabilities.
- Closed proprietary weights: cannot be self-hosted, fine-tuned, or audited outside xAI's infrastructure.
- Reasoning adds latency and token overhead even for simple queries where deep thinking is unnecessary.
- Not uncensored: xAI safety filters remain active, so certain restricted requests will be declined.
- 32K max output per response is smaller than the 128K+ offered by some competing frontier models.
- No TEE or end-to-end encryption on Venice; privacy relies on Venice's zero-retention policy rather than cryptographic isolation.
Capabilities
What it supports
- Tool use / function calling
- Vision (image input)
- Reasoning
- Web search
- Code-optimized
- Structured output (JSON schema)
- Audio input
- Video input
- Multiple image inputs
- Log probabilities
Specifications
Datasheet
- Maker
- xAI
- Released
- 2026
- Modality
- Text, image → text
- Architecture
- Not disclosed
- Parameters
- Not disclosed
- Open weights
- No — proprietary
- Context window
- 1,000K tokens
- Max output
- 32K tokens
- Capabilities
- Vision, Function calling, Reasoning, Web search
- Privacy on Venice
- Private — zero retention
- Available on Venice since
- Apr 2026
API
Call it from your code
Venice exposes an OpenAI-compatible API. Point your base URL at Venice and pass the model id.
curl https://api.venice.ai/api/v1/chat/completions \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "grok-4-3",
"messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
}'Pricing
What it costs on Venice
Billed per token on Venice: $1.42 per 1M input tokens and $2.83 per 1M output tokens.
New Venice accounts include a free daily allowance and 500 welcome credits — no credit card required.
Alternatives
How it compares
| Model | Context window | Open weights | Price (Venice) | Best for |
|---|---|---|---|---|
| Grok 4.3 | 1M tokens | No | $1.42 in · $2.83 out / 1M | Reasoning, search & tool agents |
| Claude Opus 4.8 | 1M tokens | No | $6 in · $30 out / 1M | Deep coding & analysis |
| GPT-5.6 Sol | 1M tokens | No | $6.25 in · $37.50 out / 1M | General frontier tasks |
| Kimi K2.6 | 256K tokens | Yes | $0.75 in · $3.50 out / 1M | Open-weight coding & long docs |
| DeepSeek V3.2 | 160K tokens | Yes | $0.33 in · $0.48 out / 1M | Budget reasoning & agents |
The only Venice-hosted frontier model with built-in web search, reasoning, and vision at this price point.
Use cases
What it is good for
- 01Enterprise contract review, case law research, and financial document Q&A across long contexts.
- 02Multi-step research agents that combine web search, tool calls, and reasoning to answer live questions.
- 03Code analysis and refactoring across large repositories that fit within a 1M-token window.
- 04Visual document analysis — extracting data from scanned forms, charts, and slides alongside text prompts.
- 05Real-time monitoring and summarization of news or social trends via built-in web search.
Prompting
Getting better results
For simple factual lookups, keep prompts concise to minimize reasoning-token overhead and cost.
Use structured output (JSON schema) when integrating with code to reduce parsing errors and retries.
Upload multiple images in a single prompt to compare documents or charts side-by-side.
Leverage the model's web search capability for questions about events after its training cutoff instead of relying on stale knowledge.
FAQ
Frequently asked questions
Grok 4.3 is xAI's frontier LLM with built-in reasoning, released in 2026. It offers a one-million-token context window, vision input, web search, function calling, and structured output for complex multi-step tasks and enterprise document analysis.
Venice charges $1.42 per 1M input tokens, $2.83 per 1M output tokens, and $0.23 per 1M cached input tokens. You pay only for what you use; there is no subscription fee to access the model.
You can try Grok 4.3 on Venice using free-tier credits. Beyond the free allowance, usage is billed per token based on the rates above.
No. Grok 4.3 is proprietary and closed-weight. It cannot be self-hosted or fine-tuned. For open-weight alternatives, Venice hosts DeepSeek V3.2, Kimi K2.6, and GLM 5.1.
Yes. On Venice, Grok 4.3 supports function calling, structured JSON output, web search, and vision input. These let it retrieve live data, call tools, and analyze images within a single conversation.
Grok 4.3 costs significantly less and includes built-in web search and reasoning. Claude Opus 4.8 is often preferred for pure coding depth at a premium price. Choose Grok 4.3 for agentic workflows with live search; choose Opus for maximum coding accuracy if budget allows.
It supports up to 1,000,000 tokens of context and up to 32,000 tokens of output per response, enough for large codebases, long contracts, or extensive meeting transcripts.
No. Grok 4.3 is not uncensored — xAI's standard safety filters remain active. Venice's zero-retention privacy ensures your prompts are not stored, but the model will still decline certain harmful or restricted requests.
It runs under Venice's private tier with zero retention: your prompts and responses are not stored, profiled, or used for training. Note that it does not currently run inside a TEE or with end-to-end encryption.
Run Grok 4.3 privately
No prompt logging. No data used for training.