xAIReleased on Aug 13, 2024

Grok-2: API Pricing, Context Window & Benchmarks

Grok-2 is a language model from xAI, released in August 2024, with multimodal input.

Grok-2 is a frontier language model with state-of-the-art reasoning capabilities, featuring advanced abilities in chat, coding, and reasoning. It demonstrates superior performance in visual math reasoning, document-based question

Input
TextImage
Output
Text

Grok-2 benchmarks

Rankings

Quality Tracker

Grok-2 Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Wed Jul 22 2026
Notice missing or incorrect data?

Grok-2 pricing

Providers

Grok-2 starts at $2.00 per million input tokens and $10.00 per million output tokens via xAI.

ProviderInput $/MOutput $/MContext in / outTTFT p50 / p95 sOutput avg / p5 c/sSuccess 7dModalities in / out
xAI logoxAI
$2.00$10.00128.0K/8.0K
/0.70
85/
/

Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests. Success is calculated from completed versus failed requests over the trailing seven days.

Grok-2 context window

Input and output token limits for Grok-2, plus how it ranks on long-context understanding.

InputOutput
128Ktokens
8Ktokens
192 pages of text
128K
8K128K1M

Grok-2 API

Available from the model provider

Grok-2 has an official provider API. It is not currently routed through the LLM Stats gateway.

Read the official API documentation

Grok-2 latency

Grok-2 time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.

Grok-2 examples

Recent arena outputs from Grok-2, picked from the highest-ranked matchups.

Grok-2 license

Grok-2 is a proprietary model available under its provider's product and API terms.

License
Proprietary
Hosted access

Proprietary license - usage restrictions apply

Grok-2 resources

Official sources for Grok-2: api documentation, official launch post.

Grok-2 vs other models

The most-compared alternatives to Grok-2 are Kimi-k1.5, Llama 3.1 405B Instruct, GPT-4o. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like Grok-2

Models ranked just above and below Grok-2 by LLM Stats score.

 

Kimi-k1.5

Score pending
 

Llama 3.1 405B Instruct

Score pending
 

GPT-4o

Score pending
 

Gemini 1.5 Pro

Score pending
 

Nova Pro

Score pending
 

Qwen3 VL 30B A3B Thinking

Score pending

FAQ

Common questions about Grok-2.

When was Grok-2 released?

Grok-2 was released on August 13, 2024 by xAI. This is the official Grok-2 release date tracked on LLM Stats.

How much does Grok-2 cost?

Grok-2 pricing starts at $2.00 per million input tokens and $10.00 per million output tokens via xAI, the lowest price among tracked providers.

Is Grok-2 available via API?

Yes, Grok-2 is available via API. See the official documentation for authentication and endpoint details. It is served by 1 provider tracked on LLM Stats.

Who created Grok-2?

Grok-2 was created by xAI.

What is the license for Grok-2?

Grok-2 is released under the Proprietary license.

Is Grok-2 multimodal?

Yes, Grok-2 is multimodal and can accept both text and images as input.

What is Grok-2 latency?

Grok-2 p95 time to first token is 0.70 seconds via xAI over the trailing 7 days. Lower time to first token means the model begins responding sooner for chat, agents and API workloads.

Where can I use Grok-2?

Grok-2 is available through 1 provider including xAI.

Where is the Grok-2 paper or technical report?

Grok-2 has a paper or technical report available at https://x.ai/blog/grok-2. Use that source for architecture, training, release and evaluation details.

What models should I compare Grok-2 against?

Common Grok-2 comparisons include Grok-2 vs Kimi-k1.5, Grok-2 vs Llama 3.1 405B Instruct, Grok-2 vs GPT-4o. Compare them side by side for benchmark scores, pricing, context window, latency and API availability.