Requesty
xAI Corp.

grok-4.5

Grok 4.5 is xAI's frontier multimodal model for advanced coding, knowledge work, STEM reasoning, and agentic workflows. It supports text and image inputs with text output, tool calling, structured outputs, web search, and extended reasoning. Pricing is tiered: requests exceeding 200k total tokens are billed at a higher rate.

VisionReasoningTool callingCachingWeb searchJSON schema
Try grok-4.5CompareDocs

Specifications

Context window500K tokens
Max outputN/A
API typechat
AddedJul 8, 2026
Model IDxai/grok-4.5
Data retentionYes (30 days)
Used for trainingUnknown
Provider location🇺🇸 US
Privacy policyxAI Privacy Policy→

Benchmarks

Released 2026-07-08
Coding Indexcoding
72.4%

Artificial Analysis Coding Index — a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning
93.1%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
53.8%

Artificial Analysis Intelligence Index — a composite of multiple evaluations measuring overall model capability.

Scores are sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and do not capture every aspect of model quality. Always test on your own workload.

Pricing

Input / 1M
$2.00
Output / 1M
$6.00
Cache write / 1M
$2.00
Cache read / 1M
$0.50
Estimated cost
100K input + 10K output$0.26
1M input + 100K output$2.60
10M input + 1M output$26.00

Requesty charges exactly what the upstream provider charges, no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to xai/grok-4.5.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="xai/grok-4.5",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Other xAI Corp. models

grok-build-0.1
256K ctx$1.00/1M
grok-4.3
1M ctx$1.25/1M
Coding 42
grok-4.2-beta
2M ctx$2.00/1M
grok-4-1-fast-reasoning
2M ctx$0.20/1M
grok-4-1-fast-non-reasoning
2M ctx$0.20/1M
grok-code-fast-1
256K ctx$0.20/1M

Frequently asked questions

How much does grok-4.5 cost?
grok-4.5 is priced at $2.00 per million input tokens and $6.00 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of grok-4.5?
grok-4.5 has a context window of 500K tokens. That's roughly 667 words of input you can fit in a single prompt.
How does grok-4.5 perform on benchmarks?
grok-4.5 scores 93.1% on GPQA Diamond, 72.4% on Coding Index, 54.1% on SciCode. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.
What can grok-4.5 do?
grok-4.5 supports vision input, tool calling, extended reasoning, prompt caching, web search, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use grok-4.5 with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "xai/grok-4.5". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run grok-4.5 through Requesty?
Yes. grok-4.5 runs through Requesty's OpenAI-compatible API, served from xAI Corp.. You do not host the model yourself: point base_url at Requesty, set the model to "xai/grok-4.5", and requests are routed to the upstream provider with automatic failover. The same key gives you 400+ other models too.

Access grok-4.5 through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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