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Switchyard vs SpaceXAI: Grok 4.7

Published LiveBench scores across all seven categories, live list pricing, context windows, and the measured cost of a point of capability — for both models, side by side.

OpenRouter + LiveBenchAll comparisonsFull leaderboard

Switchyard and SpaceXAI: Grok 4.7 are priced within ~10% of each other.

Switchyard does not have a published LiveBench run, so this comparison covers price, context and declared capabilities only. A missing score means "not evaluated", not "worse" — the right way to separate these two is an eval on your own workload.

nvidia

Switchyard

Blended / 1M
—
Context
1M
Released
Sep 21, 2026
Overall score
Not evaluated

x-ai

SpaceXAI: Grok 4.7

Blended / 1M
$3.00
Context
500K
Released
Sep 21, 2026
Overall score
77.4
reasoningtool callingimage inputfile inputprompt caching

Specs and pricing

MetricSwitchyardSpaceXAI: Grok 4.7
LiveBench overall

Mean of the seven LiveBench category scores, 0–100. Higher is better.

—77.4
Cost per point

Measured benchmark spend divided by overall score — dollars per point of capability.

—$0.4062
Blended price / 1M

3:1 input:output mix, the usual shape of production traffic.

—$3.00
Input price / 1M—$2.00
Output price / 1M—$6.00
Cached input / 1M

Price of an input token served from the prompt cache, where the provider publishes one.

—$0.500
Context window1Mwin500K
Max output tokens—450K

Benchmarks by category

An overall score averages away the thing you probably care about. These are the seven LiveBench categories scored separately — Switchyard on top, SpaceXAI: Grok 4.7 below, both out of 100.

Agentic coding
—
54.0
Coding
—
77.2
Reasoning
—
82.7
Mathematics
—
95.7
Data analysis
—
76.9
Language
—
80.1
Instruction following
—
75.3

What each one costs to run

Per-token prices are hard to feel. These are monthly list costs for both models across five workload shapes, using each provider's published cached-input rate where there is one.

Run these two through the cost calculator

Which should you pick?

You need to fit large documents in one call

Switchyard

Wider context window — 1M against 500K.

Switchyard vs SpaceXAI: Grok 4.7 FAQ

Which is better, Switchyard or SpaceXAI: Grok 4.7?

Switchyard and SpaceXAI: Grok 4.7 are priced within ~10% of each other. Switchyard does not have a published LiveBench run, so this comparison covers price, context and declared capabilities only. A missing score means "not evaluated", not "worse" — the right way to separate these two is an eval on your own workload.

Does Switchyard or SpaceXAI: Grok 4.7 have a bigger context window?

Switchyard has the larger context window: 1M for Switchyard against 500K for SpaceXAI: Grok 4.7. Note that a window you can fill is not a window you should fill — retrieval quality usually degrades well before the limit, and you pay for every token you put in it.

Do Switchyard and SpaceXAI: Grok 4.7 support prompt caching?

SpaceXAI: Grok 4.7 publishes a cached-input rate of $0.500 per million tokens against a full input rate of $2.00. The catalogue lists no separate cached rate for Switchyard, which means the provider does not price it separately here — not that caching is unavailable.

Related comparisons

How these numbers are produced

  • Price — provider list price from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
  • Scores — LiveBench release 2026-06-25, using their own category map. Each model shows its strongest published run. A blank means “not evaluated”, never “bad”.
  • Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
  • “Win” — awarded only past a threshold: one full point on a benchmark score, 10% on a price, 25% on a context window. Anything tighter reports as a tie, because effort settings alone move a LiveBench score by more than that.

Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.