Grok 4.3
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Grok 4.3

grok-4.3llms.txt
Grok
Grok 4.3 is amongst the leading models in intelligence and well priced when comparing to other models of similar price. It's also notably fast, however very verbose. The model supports text and image input, outputs text, and has a 1m tokens context window.

Pricing

  • Input Tokens: $1.25 /M tokens
  • Output Tokens: $2.5 /M tokens
  • Cache Read: $0.2 /M tokens

Input Modalities

  • Text
  • Vision

Output Modalities

  • Text

Context length

  • 1M tokens

Capabilities

  • Thinking
  • Streaming
  • Tool calling
  • Web search
  • URL context
  • Code interpreter
  • Computer use
  • File search
  • Memory tool
  • Structured outputs
  • Citations
  • Prompt caching
  • Background mode
  • Server-side sessions

Providers

Azure grok-4.3
Pricing$1.25$2.5
Cache$0.2
Context1M
Max output1M
Latency4.1S
Throughput26.8TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Grok grok-4.3
Pricing$1.25$2.5
Cache$0.2
Context1M
Max output1M
Latency0.4S
Throughput55.1TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today

Performance for grok-4.3

Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).

Uptime
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Latency
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Throughput
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Try this model

Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://aihubmix.com/v1",
)

response = client.chat.completions.create(
    model="grok-4.3",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

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

Frequently asked questions

What is Grok 4.3?

Grok 4.3 is amongst the leading models in intelligence and well priced when comparing to other models of similar price. It's also notably fast, however very verbose. The model supports text and image input, outputs text, and has a 1m tokens context window.