Model comparison
Grok 4.7 vs Muse Spark 1.3
SpaceXAI against Meta, compared on context, price, and verified benchmark results.
Catalog record checked September 26, 2026Individual provider fields may changeEvidence confidence: High — see receipts below
SpaceXAI
Grok 4.7
Frontier
Meta
Muse Spark 1.3
Frontier
| Specification | Grok 4.7 | Muse Spark 1.3 |
|---|---|---|
| Provider | ||
| Provider | SpaceXAI | Meta |
| Tier | ||
| Tier | Frontier | Frontier |
| Context window | ||
| Context window | 500K | Winner: 1.05M |
| Max output | ||
| Max output | Not verifiedUnverified | 131K |
| Input / 1M tokens | ||
| Input / 1M tokens | $2 | Winner: $1.25 |
| Output / 1M tokens | ||
| Output / 1M tokens | $6 | Winner: $4.25 |
| Weights | ||
| Weights | Closed | Closed |
| Parameters | ||
| Parameters | new, larger base model with longer RL on multi-hour tasks | Meta frontier model |
| Reasoning levels | ||
| Reasoning levels | low, medium, high, xhigh | minimal, low, medium, high, xhigh, max |
| Modalities | ||
| Modalities | text, image | text, image, video, audio, pdf |
| API model id | ||
| API model id | grok-4.7 | muse-spark-1.3 |
| Released | ||
| Released | September 21, 2026 | September 2, 2026 |
| Artificial Analysis Intelligence Index [xhigh] (2026-09-26) | ||
| Artificial Analysis Intelligence Index [xhigh] (2026-09-26) | 46.4 | Not verifiedUnverified |
| Artificial Analysis Intelligence Index [max] (2026-09-26) | ||
| Artificial Analysis Intelligence Index [max] (2026-09-26) | Not verifiedUnverified | 48.1 |
| DeepSWE 1.1 [high] (2026-09-21) | ||
| DeepSWE 1.1 [high] (2026-09-21) | 71 | Not verifiedUnverified |
| DeepSWE 1.1 (2026-09-02) | ||
| DeepSWE 1.1 (2026-09-02) | Not verifiedUnverified | 75.4 |
| Terminal-Bench 4.0 [xhigh] (2026-09-26) | ||
| Terminal-Bench 4.0 [xhigh] (2026-09-26) | 25.8 | Not verifiedUnverified |
| Terminal-Bench 2.1 (2026-09-03) | ||
| Terminal-Bench 2.1 (2026-09-03) | Not verifiedUnverified | 88.8 |
Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.
Benchmark receipts
Where each score comes from, and how far it can be compared across models.
- 2026-09-26Artificial Analysis Terminal-Bench 4.0 (independent AA run, part of Intelligence Index v4.3.2)
Agentic terminal work: long multi-step tasks executed in a sandboxed shell environment.
Comparable with caveatNOT comparable with Terminal-Bench 2.x or 3.0 — 4.0 uses a new, non-overlapping task set. Within 4.0, scores from different harnesses (tbench.ai agent entries vs Artificial Analysis runs) are not interchangeable.
- 2026-09-26Artificial Analysis
Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.
Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check measuredAt.
- 2026-09-21xAI — Grok 4.7 announcement (vendor; not yet on Datacurve's board)
Agentic software engineering: pass@1 on real repo tasks with reported cost per completed task.
Directly comparable
- 2026-09-03Meta launch table (transcribed by explainx.ai) (Vendor self-report; absent from the official tbench.ai leaderboard)
Agentic terminal work: multi-step tasks executed in a sandboxed shell environment.
Comparable with caveatNot comparable with Terminal-Bench 3.0 or 4.0 (different task sets) or v1; harness configuration (container, time limits) also shifts results.
- 2026-09-02Meta launch table (Thinking mode: max — self-reported; not broadly available and NOT on the official Datacurve leaderboard)
Agentic software engineering: pass@1 on real repo tasks with reported cost per completed task.
Directly comparable
Pricing tiers
Grok 4.7: $2/$6 per MTok (<200K prompt); $4/$12 for all tokens at ≥200K. Cached input $0.50/MTok ($1.00 at ≥200K). US regional endpoint 1.1x. No Batch API; the 2x-price 'Fast' variant is Cursor and Grok Build only. xAI lists no separate text-output cap. Knowledge cutoff May 2026.
Muse Spark 1.3: $1.25/$4.25 per MTok on Meta's Model API (Standard tier; cached input $0.15); a $0.10/$0.20 'contributor' tier applies when your data is used for training. Meta's pricing page lists no long-context premium and no scheduled price change.
Grok 4.7
Grok 4.7 is xAI's flagship since 2026-09-21 — a larger new base model with longer RL on multi-hour tasks, at Grok 4.6's $2/$6 price.
Best for
- Coding agents
- Cost-sensitive frontier work
- Cursor and GitHub Copilot users
Watch out
Token rates double above a 200K-token prompt and there is no Batch API; the DeepSWE figure is vendor-reported.
Muse Spark 1.3
Muse Spark 1.3 is Meta's September 2026 frontier refresh — a self-reported DeepSWE 1.1 field leader at $1.25/$4.25, with a 1M-token context aimed at autonomous agent workflows.
Best for
- Long-horizon coding agents
- Frontier quality below frontier pricing
- Meta ecosystem
Watch out
The headline 75.4% DeepSWE score comes from the 'max' thinking mode, which is not broadly available yet and is pending independent verification. The 131,072 output cap is per third-party API docs — Meta's own spec page does not publish it. Closed weights.
When the cheaper one wins
Muse Spark 1.3 is cheaper on output at $4.25 per million tokens against $6 for Grok 4.7 — about 1.4×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.
Run the model pickerEvidence confidence: High
How strong and complete the evidence behind this comparison is — not a prediction of which model is better.
- Pricing verified on both sides — Input and output rates are verified for both models.
- 4/5 core specs verified on both sides — Not published for at least one side: max output.
- 2 shared named benchmarks with differing scores — Measured on: Artificial Analysis Intelligence Index, DeepSWE 1.1.
- Verified within the last 90 days — Newest catalog check was 2 days ago.
- Both models carry source citations — Each side has at least two catalog sources on record.
Source receipts
Each catalog figure was checked against the provider or an independent second source on the date shown.
- Grok 4.7: xAI — Grok 4.7 (accessed 2026-09-26)
- Grok 4.7: xAI docs — grok-4.7 model card (accessed 2026-09-26)
- Grok 4.7: xAI pricing (grok-4.7 $2/$6, ≥200K $4/$12) (accessed 2026-09-26)
- Grok 4.7: GitHub changelog — Grok 4.7 in Copilot (2026-09-21) (accessed 2026-09-26)
- Muse Spark 1.3: Meta — Introducing Muse Spark 1.3 (accessed 2026-09-03)
- Muse Spark 1.3: Meta developer — Muse Spark pricing ($1.25/$4.25) (accessed 2026-09-03)
- Muse Spark 1.3: VentureBeat — Muse Spark 1.3 best results need a config developers can't broadly use yet (accessed 2026-09-03)
- Muse Spark 1.3: HaiMaker — muse-spark-1.3 (131,072 max output tokens) (accessed 2026-09-05)
- Muse Spark 1.3: Promptfoo — Meta provider docs (muse-spark-1.3 max_tokens ceiling) (accessed 2026-09-05)
- Muse Spark 1.3: Meta Model API — pricing and rate limits ($1.25/$4.25, cached $0.15) (accessed 2026-09-26)
- Muse Spark 1.3: Meta Model API — models (1,048,576 context; text/image/video/audio/PDF input) (accessed 2026-09-26)
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Diving deeper on one model? Grok 4.7 · Muse Spark 1.3
Common questions
Grok 4.7 vs Muse Spark 1.3
Answered from the verified figures on this page rather than general guidance.
Is Grok 4.7 or Muse Spark 1.3 cheaper for input?
Is Grok 4.7 or Muse Spark 1.3 cheaper for output?
Which has the larger context window, Grok 4.7 or Muse Spark 1.3?
Do Grok 4.7 and Muse Spark 1.3 support the same reasoning levels?
Should I use Grok 4.7 or Muse Spark 1.3?
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Input price: Muse Spark 1.3 costs $1.25 per 1M tokens versus $2 for Grok 4.7 — a 1.6x difference at the headline tier.
- Context: Muse Spark 1.3 takes 1.05M against 500K for Grok 4.7 — only decisive if your prompts approach the smaller window.
- Measured capability: Muse Spark 1.3 leads Artificial Analysis Intelligence Index 48.1 to 46.4 (measured 2026-09-26).
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.