Is Grok 4.5 available with Zero Data Retention on Elosia?

Grok 4.5 runs on Elosia's standard backend; ZDR is available on many other models in the catalog.

How much does Grok 4.5 cost on Elosia?

Grok 4.5 is billed by usage at $2 per 1M input tokens and $6 per 1M output tokens, within your Elosia plan.

What is Grok 4.5's context window?

Grok 4.5 supports a context window of up to 500,000 tokens.

Is Grok 4.5 hosted in the EU?

Grok 4.5 is not available on Elosia's EU-hosted (EdenAI) backend; it runs on the default backend.

When should you choose Grok 4.5?

Grok 4.5 is a flagship model, best for the most demanding reasoning, agentic and long-context tasks.

Grok 4.5

GrokFlagship

ThinkingTool UseVisionStructured Output

About this model

Grok 4.5 is SpaceXAI's smartest model with frontier performance on coding, knowledge work, and STEM.

Performance Tier

Flagship

Grok 4.5 is a flagship model from Grok : the most capable in their lineup.

Best-in-class model from this provider. Highest performance across benchmarks, ideal for demanding tasks.

Pricing

This model is included in Elosia plans

Moderate

Moderate cost. A balanced choice for regular use without constant cap watching.

Type	per 1M tokens
Input (prompt)	$2.00
Output (completion)	$6.00
Cache read	$0.300

Capabilities

Context Length500K

Max Output Tokens—

TokenizerGrok

Inputtext, image, file

Outputtext

Release DateJuly 8, 2026

Benchmarks

General Intelligence

MMLU

Not reported

GPQA Diamond

Not reported

Mathematics

MATH-500

Not reported

Programming

HumanEval

Not reported

SWE-bench Verified

Not reported

Reasoning

IFEval

Not reported

Agentic

SWE-bench Pro

64.7%

Terminal-Bench 2.1

83.3%

Where does Grok 4.5 stand?

Compare its performance index against every other model.

View the performance leaderboard

Recommended Use Cases

CodingAnalysisResearchGeneral ChatMathematics

Strengths

xAI flagship, strong on coding, agentic tasks and STEM knowledge work
Competitive agentic coding: 83.3 on Terminal-Bench 2.1 and 64.7 on SWE-bench Pro (single-model)
Notably token-efficient on agentic coding versus comparable flagships, at about 80 tokens/second (per xAI)
500K-token context window with multimodal (text, image) input, function calling, web and X search, and code execution

Limitations

xAI published only coding and agentic benchmarks; no MMLU, GPQA, math or reasoning scores to gauge broader capability
Trails the current SWE-bench Pro coding leaders (64.7 vs about 80)
Smaller third-party tooling ecosystem than OpenAI or Anthropic