SpaceXAI: Models Intelligence, Performance & Price

SpaceXAI
SpaceXAI

Analysis of SpaceXAI'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 SpaceXAI for your use-case.

Most Intelligent

#1
Grok 4.5 (high)
Grok 4.5 (high)
56
#2
Grok Build 0.1 0616
Grok Build 0.1 0616
41
#3
Grok 4.20 0309 v2
Grok 4.20 0309 v2
38
#4
Grok 4.3 (high)
Grok 4.3 (high)
38
#5
Grok 4.3 (medium)
Grok 4.3 (medium)
37

Intelligence index

Total 11 models

Fastest

#1
Grok 4.20 0309 v2
Grok 4.20 0309 v2
166 t/s
#2
Grok 4.20 0309 v2
Grok 4.20 0309 v2
138 t/s
#3
Grok 3 Fast
Grok 3 Fast
120 t/s
#4
Grok 4.3 (medium)
Grok 4.3 (medium)
119 t/s
#5
Grok 4.3 (high)
Grok 4.3 (high)
116 t/s

Output speed

Total 11 models

Lowest Price

#1
Grok 3 mini Reasoning (high)
Grok 3 mini Reasoning (high)
$0.16
#2
Grok Build 0.1 0616
Grok Build 0.1 0616
$0.54
#3
Grok 3 mini Reasoning (high) Fast
Grok 3 mini Reasoning (high) Fast
$0.57
#4
Grok 4.20 0309 v2
Grok 4.20 0309 v2
$0.64
#5
Grok 4.3 (high)
Grok 4.3 (high)
$0.64

Blended price (per 1M tokens)

Total 11 models

Indicates a reasoning model

SpaceXAI 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 SpaceXAI are Grok 4.5 (high) (56), Grok Build 0.1 0616 (41), and Grok 4.20 0309 v2 (38).
  • For output speed, the fastest models are Grok 4.20 0309 v2 (166 t/s), Grok 4.20 0309 v2 (138 t/s), and Grok 3 Fast (120 t/s).
  • For latency, Grok 4.20 0309 v2 (0.57s), Grok 3 Fast (0.69s), and Grok 4.3 (Non-reasoning) (0.70s) offer the lowest time to first answer token.
  • For pricing, Grok 3 mini Reasoning (high) ($0.16), Grok Build 0.1 0616 ($0.54), and Grok 3 mini Reasoning (high) Fast ($0.57) 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 v2 (2M), and Grok 4.3 (high) (1M) support the largest context windows on SpaceXAI.

Highlights

Artificial Analysis Intelligence Index · Higher is better
Output tokens per second · Higher is better
USD per 1M tokens (blended) · Lower is better

Intelligence Evaluations

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v4.1.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR
Estimate (independent evaluation forthcoming)
Reasoning models are indicated by a lightbulb icon

Artificial Analysis Intelligence Index v4.1.1 includes: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

Intelligence Evaluations

Intelligence evaluations measured independently by Artificial Analysis · Higher is better

Agentic real-world work tasks, (Elo-500)/2000

Agentic tool use

Agentic coding & terminal use

Coding

Reasoning & knowledge

Scientific reasoning

Physics reasoning

Knowledge

1 - hallucination rate

AA-LCRUpdated

Long context reasoning

Agentic knowledge work, Elo

Agentic SaaS workflows

Legal agentic work, criterion pass rate

Agentic business operations

Instruction following

Long-horizon agentic tasks

Kubernetes incident root-cause analysis

Visual reasoning

Reasoning models are indicated by a lightbulb icon

While model intelligence generally translates across use cases, specific evaluations may be more relevant for certain use cases.

Artificial Analysis Intelligence Index v4.1.1 includes: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

Intelligence Index vs. Price

Blended at 7:2:1 (cache-input-output) · USD per 1M tokens (blended)
Most attractive quadrant
Pareto line
Reasoning models are indicated by a lightbulb icon

While higher intelligence models are typically more expensive, they do not all follow the same price-quality curve.

Context Window

Context Window

Context window: tokens limit · Higher is better
Reasoning models are indicated by a lightbulb icon

Larger context windows are relevant to RAG (Retrieval Augmented Generation) LLM workflows which typically involve reasoning and information retrieval of large amounts of data.

Maximum number of combined input & output tokens. Output tokens commonly have a significantly lower limit (varied by model).

Pricing

Intelligence Index vs. Price

Blended at 7:2:1 (cache-input-output) · USD per 1M tokens (blended)
Most attractive quadrant
Pareto line
Reasoning models are indicated by a lightbulb icon

While higher intelligence models are typically more expensive, they do not all follow the same price-quality curve.

Performance Summary

Output Speed vs. Price

Output speed: output tokens per second · USD per 1M tokens (blended)
Most attractive quadrant
Pareto line
Reasoning models are indicated by a lightbulb icon

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Price per token, shown in USD per million tokens. Price is a blend of cache hit, input, and output token prices using the selected ratio (default 7:2:1 cache-input-output).

Speed

Measured by Output Speed (tokens per second)

Output Speed

Output tokens per second · Higher is better
Reasoning models are indicated by a lightbulb icon

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Figures represent performance of the model's first-party API (e.g. OpenAI for o1) or the median across providers where a first-party API is not available (e.g. Meta's Llama models).

Latency

Measured by Time (seconds) to First Token

Latency: Time To First Answer Token

Seconds to first answer token received · Accounts for reasoning model 'thinking' time
Reasoning models are indicated by a lightbulb icon

Time to first answer token received, in seconds, after API request sent. For reasoning models, this includes the 'thinking' time of the model before providing an answer. For models which do not support streaming, this represents time to receive the completion.

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

End-to-end response time: end-to-end seconds to output 500 tokens · USD per 1M tokens (blended)
Most attractive quadrant
Pareto line
Reasoning models are indicated by a lightbulb icon

Price per token, shown in USD per million tokens. Price is a blend of cache hit, input, and output token prices using the selected ratio (default 7:2:1 cache-input-output).

Further Analysis
SpaceXAI logo
Grok 4.5 (high)
500k
Proprietary
56
$0.36
54
7.86
17.07
--
SpaceXAI logo
Grok Build 0.1 0616
256k
Proprietary
41
$0.23
96
0.54
26.47
20.74
SpaceXAI logo
Grok 4.20 0309 v2
2M
Proprietary
38*
--
166
17.52
20.54
--
SpaceXAI logo
Grok 4.3 (high)
1M
Proprietary
38
$0.15
116
20.34
24.65
--
SpaceXAI logo
Grok 4.20 0309
2M
Proprietary
37*
--
--
--
--
--
SpaceXAI logo
Grok 4.3 (medium)
1M
Proprietary
37*
--
119
11.54
15.75
--
SpaceXAI logo
Grok 4.3 (low)
1M
Proprietary
36*
--
113
5.96
10.39
--
SpaceXAI logo
Grok 4.3 (Non-reasoning)
1M
Proprietary
25
$0.29
108
0.70
5.32
--
SpaceXAI logo
Grok 3 mini Reasoning (high)
131k
Proprietary
23*
--
72
0.71
35.39
27.74
SpaceXAI logo
Grok 3 mini Reasoning (high) Fast
131k
Proprietary
23*
--
73
0.70
35.09
27.51
SpaceXAI logo
Grok 4.20 0309
2M
Proprietary
23*
--
--
--
--
--
SpaceXAI logo
Grok 4.20 0309 v2
2M
Proprietary
22*
--
138
0.57
4.19
--
SpaceXAI logo
Grok 3 Fast
131k
Proprietary
19*
--
120
0.69
4.87
--

Key definitions

Maximum number of combined input & output tokens. Output tokens commonly have a significantly lower limit (varied by model).

Frequently Asked Questions

Common questions about SpaceXAI

The most intelligent model available on SpaceXAI is Grok 4.5 (high) with an Intelligence Index score of 56.

The fastest model on SpaceXAI by output speed is Grok 4.20 0309 v2 at 165.7 tokens per second.

The model with the lowest time to first answer token on SpaceXAI is Grok 4.20 0309 v2 at 0.57s. Lower latency means faster initial response time.

The most affordable model on SpaceXAI 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 SpaceXAI 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 Fast.

Yes, SpaceXAI offers an OpenAI-compatible API, making it easy to switch from OpenAI or use existing OpenAI SDK integrations.

Yes, all 11 models on SpaceXAI support JSON mode for structured output.

Yes, all 11 models on SpaceXAI support function calling (tool use).

Yes, SpaceXAI offers 8 reasoning models: Grok 4.5 (high), Grok Build 0.1 0616, Grok 4.20 0309 v2, Grok 4.3 (high), Grok 4.3 (medium), Grok 4.3 (low), Grok 3 mini Reasoning (high), and Grok 3 mini Reasoning (high) Fast. 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 SpaceXAI, 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.