Model profile
SpaceXAI
New in 2026

SpaceXAI: Grok 4.6

SpaceXAI: Grok 4.6 is a mid-range-priced multimodal generalist from SpaceXAI with heavy runtime profile, large context posture, and the clearest fit around long-context research / coding.

Best for: Long-context research / CodingHeavy latencyLarge contextMid-range pricing
Intelligence
60.9

Benchmark blend

Coding
76.8

Dev workflow signal

Context
500K Tokens

Large

Input Price
$2.00

Mid-range tier

Decision snapshot
61

SpaceXAI: Grok 4.6 currently reads as a mid-range multimodal option with large context and a heavy runtime profile.

Overall profile
Selective fit
Best for
Long-context research / Coding
Latency tier
Heavy
Price tier
Mid-range
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
60.9
61

General reasoning and benchmark headroom.

Competitive
Speed
66 tok/s
24

TTFT 39.82s

Limited
Context
500K Tokens
88

How much prompt and task state can stay in view.

Above average
Price
$2.00
62

$6.00 output / 1M

Competitive

Editorial Profile

SpaceXAI: Grok 4.6 in one narrative

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

Selective fitCoding score 77Math score N/AVision enabled

Grok 4.6 is SpaceXAI's smartest model with frontier performance on coding, knowledge work, and STEM.

Identity

SpaceXAI multimodal profile

Positioning

Long-context research / Coding with large context and heavy runtime.

Cost posture

Balanced spend profile. Easier to justify in mixed production and exploration workloads.

Strengths
  • Coding indicators point to a strong developer workflow fit.

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

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

Tradeoffs
  • Costs look manageable, but still deserve attention in always-on agents or batch jobs.

  • Latency profile is better for deliberate runs than rapid back-and-forth chat.

Best fit
  • Code generation, refactors, test writing, and tool-assisted debugging.

  • 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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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
60.9
GPQA
94.9%
HLE
42.9%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
76.8
SciCode
53.6%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

LCR
75.0%

Extra benchmark cuts are not available for this category yet.

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
500K Tokens
Vision
Enabled
Modalities
file, image, text
Tokenizer
Grok
Moderation
No
Supported Parameters
include_reasoninglogprobsmax_tokensreasoningreasoning_effortresponse_formatseedstructured_outputstemperaturetool_choicetoolstop_logprobstop_p
Input Modalities
fileimagetext
Output Modalities
text
Price architecture
Input
per 1M input tokens
$2.00
Output
per 1M output tokens
$6.00
Blended
AA 3:1 mix
$3.00

This model sits in a balanced spend range. It is easier to justify across both production and exploratory workflows.

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.