LLMPrivate

Grok 4.5

SpaceXAI's frontier mixture-of-experts model for coding, agentic tool use, and long-context knowledge work.

Maker
SpaceXAI
Modality
Text + vision
Context
500K tokens
Open weights
No — proprietary

Overview

What is Grok 4.5

Grok 4.5 is SpaceXAI's proprietary frontier model for coding, agentic tasks, and knowledge work. It features a 500K-token context window, vision and tool-use capabilities, and configurable reasoning. Released in July 2026, it is optimized for software engineering and long-running workflows that require creative problem-solving.

Running it privately on Venice

On Venice, Grok 4.5 runs under a private, zero-retention tier — your prompts are not stored, profiled, or used for training. You get the full frontier model with vision, reasoning, web search, and function calling, billed per token without a subscription. Because it is a closed proprietary model, it carries the maker's standard content policies rather than being uncensored.

Private (zero retention)No prompt trainingTEE · hardware enclaveEnd-to-end encrypted

Assessment

Strengths and limitations

Strengths
  • 500K-token context window supports entire codebases and long documents without truncation.
  • Native vision, function calling, reasoning, and web search for agentic and multimodal workflows.
  • Code-optimized training for software engineering, debugging, and terminal-based tasks.
  • Configurable reasoning effort to trade speed against depth on complex problems.
  • Structured JSON output and multiple image inputs for building reliable automation pipelines.
Limitations
  • Closed proprietary weights: cannot be self-hosted or fine-tuned.
  • Not an uncensored model; retains the maker's content policies and safety filters.
  • Higher per-token cost than open-weight alternatives such as DeepSeek V3.2 or Kimi K2.6.
  • EU API availability via the native provider is pending as of July 2026 (Venice access is unaffected).

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
SpaceXAI
Released
July 2026
Architecture
Mixture-of-experts
Modality
Text, image → text
Open weights
No — proprietary
Context window
500K tokens
Max output
32K tokens
Capabilities
Vision, Function calling, Reasoning, Web search, Code-optimized
Privacy on Venice
Private — zero retention
Available on Venice since
Jul 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-4-5",
    "messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
  }'

Pricing

What it costs on Venice

Billed per token on Venice: $2.27 per 1M input tokens and $6.80 per 1M output tokens.

Input / 1M tokens
$2.27
Per 1M tokens
Output / 1M tokens
$6.80
Per 1M tokens
Cached input / 1M
$0.57
Per 1M tokens

New Venice accounts include a free daily allowance and 500 welcome credits — no credit card required.

Alternatives

How it compares

ModelContext windowBest forOpen weightsPrice (Venice)
Grok 4.5500K tokensCoding & agentic tasksNo$2.27 in · $6.80 out / 1M
Claude Opus 4.81M tokensLong-context reasoningNo$6 in · $30 out / 1M
DeepSeek V3.2160K tokensCost-efficient codingYes$0.33 in · $0.48 out / 1M
Kimi K2.6256K tokensOpen-weight long contextYes$0.75 in · $3.50 out / 1M

SpaceXAI's flagship code and agentic reasoning model with vision and tool use.

Use cases

What it is good for

  1. 01Large-scale code review and refactoring across 500K-token repositories.
  2. 02Agentic software engineering with tool use, autonomous debugging, and web search.
  3. 03Multimodal analysis of technical diagrams, screenshots, and UI mockups.
  4. 04Long-form research synthesis and cross-document reasoning over hundreds of pages.
  5. 05Knowledge-work automation in finance, legal, and data science workflows.

Prompting

Getting better results

Enable reasoning and function calling for complex, multi-step tasks that require planning.

Upload images of code, diagrams, or errors alongside text prompts for vision-assisted debugging.

Use the full context window to pass large files or entire directories in a single prompt.

Set reasoning effort to low for quick chat and high for deep architectural or mathematical analysis.

FAQ

Frequently asked questions

Grok 4.5 is SpaceXAI's proprietary frontier model released in July 2026 for coding, agentic tasks, and knowledge work. It offers a 500K-token context window, vision input, configurable reasoning, and function calling.

On Venice, Grok 4.5 costs $2.27 per 1M input tokens and $6.80 per 1M output tokens, with cached input at $0.57 per 1M. You pay per token with no subscription required.

No. Grok 4.5 is a proprietary closed-weight model, so it cannot be self-hosted or fine-tuned. If you need open weights, DeepSeek V3.2 or Kimi K2.6 are strong alternatives.

Yes. On Venice, Grok 4.5 supports function calling, multiple image inputs, reasoning, web search, and structured JSON output.

Choose Grok 4.5 for coding, agentic tool use, and 500K-context workflows at lower per-token cost. Choose Claude Opus 4.8 if you need a 1M context window and deepest reasoning for very long documents.

It runs under Venice's private, zero-retention tier. Your prompts are not stored, profiled, or used for training, giving you sovereignty over your data.

Grok 4.5 supports up to 500,000 tokens of context and can generate up to 32,000 tokens in a single response.

No. Grok 4.5 is not uncensored on Venice; it retains SpaceXAI's content policies and safety filters. For fully uncensored inference, explore open-weight alternatives such as DeepSeek V3.2.

Run Grok 4.5 privately

No prompt logging. No data used for training.