xAI: Models Intelligence, Performance & Price
Analysis of xAI's models across key metrics including quality, price, output speed, latency, context window & more. This analysis is intended to support you in choosing the best model provided by xAI for your use-case.
Most Intelligent
Intelligence index
Total 11 models
Fastest
Output speed
Total 11 models
Lowest Price
Blended price (per 1M tokens)
Total 11 models
xAI offers 11 models, each with different intelligence, performance, and pricing characteristics. Below is a comparison of the key metrics across models.
- For intelligence, the top models on xAI are Grok 4.3 (high) (53), Grok 4.20 0309 v2 (49), Grok 4.3 (medium) (49).
- For output speed, the fastest models are Grok 4.3 (high) (208 t/s), Grok 4.20 0309 (201 t/s), Grok 4.3 (medium) (200 t/s).
- For latency, Grok 3 mini Reasoning (high) Fast (0.70s), Grok 4.20 0309 v2 (0.71s), Grok 3 mini Reasoning (high) (0.71s) offer the lowest time to first token.
- For pricing, Grok 3 mini Reasoning (high) ($0.16), Grok 3 mini Reasoning (high) Fast ($0.57), Grok 4.3 (high) ($0.64) offer the lowest blended prices per 1M tokens. Prices vary up to 3.9x across models.
- For context window size, Grok 4.20 0309 v2 (2m), Grok 4.20 0309 (2m), Grok 4.20 0309 (2m) support the largest context windows on xAI.
- Grok 4.3 (high) offers the best combination of intelligence and speed. For cost optimization, Grok 3 mini Reasoning (high) provides the most competitive pricing.
Highlights
Intelligence Evaluations
Artificial Analysis Intelligence Index
Intelligence Evaluations
Agentic real-world work tasks, (Elo-500)/2000
Agentic coding & terminal use
Agentic tool use
Long context reasoning
Knowledge
1 - hallucination rate
Reasoning & knowledge
Scientific reasoning
Coding
Instruction following
Physics reasoning
Long-horizon agentic tasks
Kubernetes incident root-cause analysis
Visual reasoning
Intelligence vs. Price
Context Window
Context Window
JSON Mode & Function Calling
Function (Tool) Calling & JSON Mode
PricingUpdated
Intelligence vs. Price
Performance Summary
Output Speed vs. Price
Speed
Measured by Output Speed (tokens per second)
Output Speed
Latency
Measured by Time (seconds) to First Token
Time to First Answer Token
End-to-End Response Time
Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time vs. Price
Key definitions
Frequently Asked Questions
Common questions about xAI
xAI offers 11 models that we track: Grok 4.3 (high), Grok 4.20 0309 v2, Grok 4.3 (medium), Grok 4.20 0309, Grok 4.3 (low), Grok 3 mini Reasoning (high), Grok 3 mini Reasoning (high), Grok 4.3 (Non-reasoning), Grok 4.20 0309, Grok 4.20 0309 v2, and Grok 3.
The most intelligent model available on xAI is Grok 4.3 (high) with an Intelligence Index score of 53.
The fastest model on xAI by output speed is Grok 4.3 (high) at 207.6 tokens per second.
The model with the lowest time to first token on xAI is Grok 3 mini Reasoning (high) at 0.70s. Lower latency means faster initial response time.
The most affordable model on xAI by blended price is Grok 3 mini Reasoning (high) at $0.16 per 1M tokens (7:2:1 cache hit/input/output ratio).
Prices on xAI vary up to 22x across models, from $0.16 per 1M tokens for Grok 3 mini Reasoning (high) to $3.55 per 1M tokens for Grok 3.
Yes, xAI offers an OpenAI-compatible API, making it easy to switch from OpenAI or use existing OpenAI SDK integrations.
Yes, all 11 models on xAI support JSON mode for structured output.
Yes, all 11 models on xAI support function calling (tool use).
Yes, xAI offers 7 reasoning models: Grok 4.3 (high), Grok 4.20 0309 v2, Grok 4.3 (medium), Grok 4.20 0309, Grok 4.3 (low), Grok 3 mini Reasoning (high), and Grok 3 mini Reasoning (high). Reasoning models use extended thinking to work through complex problems before providing an answer.
Yes, provider performance can vary over time due to infrastructure changes, load balancing, and updates. We continuously benchmark all providers and display historical performance trends in the "Over Time" charts.
When choosing a model on xAI, consider: intelligence (for quality-sensitive tasks), output speed (for throughput-intensive tasks), latency (for interactive applications requiring quick first responses), pricing (for cost-sensitive workloads), and features like context window size, JSON mode, or function calling support.