Model profile
SpaceXAI
New in 2026

SpaceXAI: Grok 4.20

SpaceXAI: Grok 4.20 is a budget-priced multimodal generalist from SpaceXAI with partial runtime data, large context posture, and the clearest fit around long-context research / multimodal.

Best for: Long-context research / MultimodalN/A latencyLarge contextBudget pricing
Intelligence
38.0

Benchmark blend

Coding
N/A

Dev workflow signal

Context
2000K Tokens

Large

Input Price
$1.25

Budget tier

Decision snapshot
65

SpaceXAI: Grok 4.20 currently reads as a budget multimodal option with large context and a partially published runtime profile.

Overall profile
Selective fit
Best for
Long-context research / Multimodal
Latency tier
N/A
Price tier
Budget
Source coverage
OpenRouterArtificial AnalysisVision signal

Decision Strip

Decision rail before the raw tables

Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.

Intelligence
38.0
38

General reasoning and benchmark headroom.

Limited
Speed
N/A
N/A

Latency data is partial.

Unavailable
Context
2000K Tokens
100

How much prompt and task state can stay in view.

Above average
Price
$1.25
86

$2.50 output / 1M

Efficient

Editorial Profile

SpaceXAI: Grok 4.20 in one narrative

Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.

Selective fitCoding score N/AMath score N/AVision enabled

Grok 4.20 is a reasoning model from SpaceXAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering...

Identity

SpaceXAI multimodal profile

Positioning

Long-context research / Multimodal with large context and partially published runtime.

Cost posture

Efficient spend profile. More comfortable for sustained prompt volume if the capability fit is right.

Strengths
  • Large context headroom supports repo-wide prompts and long research sessions.

  • Vision-capable routing opens up multimodal review and extraction workflows.

Tradeoffs
  • Budget-friendly input pricing is a strength, but raw capability may vary by workload.

  • Latency data is incomplete, so interactive responsiveness is harder to rank confidently.

Best fit
  • Image-grounded review, multimodal extraction, and UI audit workflows.

  • Long-context summarization, repo analysis, and policy or document review.

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Context
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Input Price
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Intelligence
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Context
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Input Price
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Intelligence
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Context
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Input Price
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Benchmarks

Grouped by job-to-be-done

Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.

General intelligence

Broad reasoning, knowledge depth, and flagship benchmark posture.

Intelligence Index
38.0
GPQA
91.1%
HLE
34.5%
Coding

Software implementation, debugging quality, and coding benchmark signal.

SciCode
45.6%

Extra benchmark cuts are not available for this category yet.

Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

IFBench
81.2%
TAU2
93.0%
TerminalBench Hard
37.9%
LCR
62.3%

Specs & Pricing

Technical snapshot and cost posture

Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.

Technical snapshot
Context Window
2000K Tokens
Vision
Enabled
Modalities
file, image, text
Tokenizer
Grok
Max Completion
1800000
Moderation
No
Supported Parameters
include_reasoninglogprobsmax_tokensreasoningresponse_formatseedstructured_outputstemperaturetool_choicetoolstop_logprobstop_p
Input Modalities
fileimagetext
Output Modalities
text
Price architecture
Input
per 1M input tokens
$1.25
Output
per 1M output tokens
$2.50
Blended
AA 3:1 mix
$1.56

This model is relatively efficient on price. It is the easier fit when sustained prompt volume matters.

OR Web Search Price
$0.0050
OR Cache Read
$0.00

Metadata

Raw source tables at the end

Verification details remain available, but the page no longer forces them ahead of the editorial read.