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Grok 4.7 vs Muse Spark 1.3

Grok 4.7 leads Muse Spark 1.3 on coding, 66.7 to 57.4 on the Vibe Coding Index, and Muse Spark 1.3 costs 1.4x less per output token ($4.25 vs $6.00 per million). Updated October 22, 2026; 79 benchmarks have a result for both.

Grok 4.7xAI
Coding
66.7
Overall
66.6
Output $/M
$6.00
16
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
62
vs boards won of 79 shared, 1 tied

Grok 4.7 or Muse Spark 1.3: which to pick

Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 57.4 for Muse Spark 1.3.

Pick Muse Spark 1.3 for output tokens 1.4x cheaper ($4.25 vs $6.00 per million) and a larger context window (1.05M against 500K tokens).

Shared results
79
Grok 4.7 only
20
Muse Spark 1.3 only
13
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Grok 4.7 66.7 from 5 benchmarks, Muse Spark 1.3 57.4 from 4 benchmarks.
Widest category
Math, 17.8 points apart on average over 6 shared benchmarks.
Widest single gap
ProofBench: Grok 4.7 26.0% against Muse Spark 1.3 58.0%, 32.0 points apart on a 0 to 100 scale.
Output price
Grok 4.7 $6.00 against Muse Spark 1.3 $4.25 per million output tokens, 1.4x apart.
Context window
Grok 4.7 takes 500K tokens, Muse Spark 1.3 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGrok 4.7BarsMuse Spark 1.3Ties
Coding781 tie
Intelligence02
Agentic work54
Reasoning36
Math06
Knowledge04
Web design16
General026
All shared boards16621 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index78
Coding benchmarks for Grok 4.7 and Muse Spark 1.3
BenchmarkGrok 4.7Muse Spark 1.3Leader
LiveBench coding84.5%90.2%Muse Spark 1.3
LMArena WebDev16371659Muse Spark 1.3
AA Coding IndexNot measured75.8Only Muse Spark 1.3 measured
Terminal-Bench 4 (Vals AI)28.8%10.6%Grok 4.7
Vibe Code Bench (Vals AI)86.2%82.9%Grok 4.7
Code migration (Vals AI)44.8%27.6%Grok 4.7
ProgramBench (Vals AI)0.5%0.5%Tie
IOI (Vals AI)57.7%43.9%Grok 4.7
Terminal-Bench 2.1 (Vals AI)73.4%72.3%Grok 4.7
SWE-bench Multimodal (Vals AI)42.9%Not measuredOnly Grok 4.7 measured
CyberBench (Vals AI)69.5%69.4%Grok 4.7
SciCode57.8%59.7%Muse Spark 1.3
FrontierCode47.6%Not measuredOnly Grok 4.7 measured
FrontierSWE29.5%25.8%Grok 4.7
ALE-BenchNot measured1688.3Only Muse Spark 1.3 measured
LMArena Text: coding14321510Muse Spark 1.3
LMArena Text: software and IT14211511Muse Spark 1.3
LMArena WebDev: React16631672Muse Spark 1.3
LMArena WebDev: HTML16271653Muse Spark 1.3
LMArena WebDev: from an image15861640Muse Spark 1.3
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Grok 4.7 and Muse Spark 1.3
BenchmarkGrok 4.7Muse Spark 1.3Leader
AA Intelligence Index46.448.1Muse Spark 1.3
Epoch Capabilities Index154.4157.2Muse Spark 1.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index54
Agentic work benchmarks for Grok 4.7 and Muse Spark 1.3
BenchmarkGrok 4.7Muse Spark 1.3Leader
AA Agentic IndexNot measured55.5Only Muse Spark 1.3 measured
Design Arena: agents building web appsNot measured1297Only Muse Spark 1.3 measured
Design Arena: agents building full-stack appsNot measured1295Only Muse Spark 1.3 measured
Design Arena: agents building mobile appsNot measured1218Only Muse Spark 1.3 measured
Design Arena: agents building Godot gamesNot measured1241Only Muse Spark 1.3 measured
Design Arena: PowerPoint slidesNot measured1219Only Muse Spark 1.3 measured
Design Arena: spreadsheetsNot measured1062Only Muse Spark 1.3 measured
LiveBench research86.4%68.6%Grok 4.7
LiveBench browser60.0%80.0%Muse Spark 1.3
LiveBench long agentic50.1%40.4%Grok 4.7
SREBench (Vals AI)3.8%Not measuredOnly Grok 4.7 measured
Finance Agent (Vals AI)52.3%58.9%Muse Spark 1.3
Tax Agent Bench (Vals AI)34.2%36.0%Muse Spark 1.3
Legal Research Bench (Vals AI)47.1%40.9%Grok 4.7
Harvey's Legal Agent Benchmark (Vals AI)18.3%Not measuredOnly Grok 4.7 measured
Excel Modeling Benchmark (Vals AI)67.0%62.7%Grok 4.7
BioMysteryBench (Vals AI)69.3%Not measuredOnly Grok 4.7 measured
Terminal-Bench-Science (Vals AI)10.0%4.3%Grok 4.7
Vals Science Index34.8%Not measuredOnly Grok 4.7 measured
Robo-bench (Vals AI)0.2%Not measuredOnly Grok 4.7 measured
APEX-Agents54.6%58.6%Muse Spark 1.3
Vending-Bench 2$10,537Not measuredOnly Grok 4.7 measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index36
Reasoning benchmarks for Grok 4.7 and Muse Spark 1.3
BenchmarkGrok 4.7Muse Spark 1.3Leader
LiveBench reasoning82.7%89.7%Muse Spark 1.3
MysteryMechanism (Vals AI)25.2%Not measuredOnly Grok 4.7 measured
GPQA Diamond (Artificial Analysis run)Not measured94.1%Only Muse Spark 1.3 measured
Humanity's Last Exam (Artificial Analysis run)43.1%48.7%Muse Spark 1.3
GPQA Diamond (Epoch AI run)92.7%Not measuredOnly Grok 4.7 measured
ARC-AGI90.2%Not measuredOnly Grok 4.7 measured
ARC-AGI-261.4%Not measuredOnly Grok 4.7 measured
Chess puzzles41.0%37.0%Grok 4.7
Mystery game puzzles29.0%25.0%Grok 4.7
LMArena Text: hard prompts14151503Muse Spark 1.3
LMArena Text: expert14391519Muse Spark 1.3
LMArena Text: hard prompts in English14271500Muse Spark 1.3
LMArena Vision: diagrams12541330Muse Spark 1.3
LMArena Vision: homework13091296Grok 4.7
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index06
Math benchmarks for Grok 4.7 and Muse Spark 1.3
BenchmarkGrok 4.7Muse Spark 1.3Leader
OTIS Mock AIME98.1%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 353.0%74.4%Muse Spark 1.3
FrontierMath, tier 417.1%46.3%Muse Spark 1.3
ProofBench26.0%58.0%Muse Spark 1.3
LMArena Text: math14141497Muse Spark 1.3
LMArena Text: mathematical work14351491Muse Spark 1.3
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Grok 4.7 and Muse Spark 1.3
BenchmarkGrok 4.7Muse Spark 1.3Leader
LegalBench (Vals AI)84.4%Not measuredOnly Grok 4.7 measured
MedCode (Vals AI)49.5%Not measuredOnly Grok 4.7 measured
SimpleQA Verified56.0%Not measuredOnly Grok 4.7 measured
LMArena Text: science14191507Muse Spark 1.3
LMArena Text: medicine and healthcare13951493Muse Spark 1.3
LMArena Text: legal and government14231499Muse Spark 1.3
LMArena Text: business and finance13891490Muse Spark 1.3
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index16
Web design benchmarks for Grok 4.7 and Muse Spark 1.3
BenchmarkGrok 4.7Muse Spark 1.3Leader
Design Arena: websites12551356Muse Spark 1.3
Design Arena: UI components12751349Muse Spark 1.3
Design Arena: game dev13141328Muse Spark 1.3
Design Arena: data viz12381343Muse Spark 1.3
Design Arena: 3D12741358Muse Spark 1.3
Design Arena: all code categories12731352Muse Spark 1.3
Design Arena: SVGNot measured1301Only Muse Spark 1.3 measured
Design Arena: ASCII artNot measured1278Only Muse Spark 1.3 measured
LiveBench design78.0%74.8%Grok 4.7
GeneralLike-for-likePublic boards, shown as published, kept out of the index026
General benchmarks for Grok 4.7 and Muse Spark 1.3
BenchmarkGrok 4.7Muse Spark 1.3Leader
Vals Index58.6%Not measuredOnly Grok 4.7 measured
LiveBench data analysis76.9%79.6%Muse Spark 1.3
Public Benefits Bench (Vals AI)65.6%Not measuredOnly Grok 4.7 measured
SAGE (Vals AI)40.8%Not measuredOnly Grok 4.7 measured
MedScribe (Vals AI)89.4%Not measuredOnly Grok 4.7 measured
Long context reasoning (AA-LCR)80.0%83.0%Muse Spark 1.3
DTBench96.0%96.5%Muse Spark 1.3
LMCA49.4%53.9%Muse Spark 1.3
Furniture assembly20.8%Not measuredOnly Grok 4.7 measured
LMArena Text13991490Muse Spark 1.3
LMArena Text: instruction following14061479Muse Spark 1.3
LMArena Text: creative writing13811462Muse Spark 1.3
LMArena Vision12311308Muse Spark 1.3
LMArena Text: English14111495Muse Spark 1.3
LMArena Text: non-English13861481Muse Spark 1.3
LMArena Text: Chinese14491532Muse Spark 1.3
LMArena Text: German13661513Muse Spark 1.3
LMArena Text: Japanese13591470Muse Spark 1.3
LMArena Text: Korean13831490Muse Spark 1.3
LMArena Text: French14311511Muse Spark 1.3
LMArena Text: Spanish14061496Muse Spark 1.3
LMArena Text: Russian13991491Muse Spark 1.3
LMArena Text: Polish14201490Muse Spark 1.3
LMArena Text: multi-turn13941487Muse Spark 1.3
LMArena Text: longer queries14161488Muse Spark 1.3
LMArena Text: writing and language13941470Muse Spark 1.3
LMArena Text: entertainment and media13761457Muse Spark 1.3
LMArena Vision: English12291298Muse Spark 1.3
LMArena Vision: Chinese12501384Muse Spark 1.3
LMArena Vision: reading text12411319Muse Spark 1.3
LMArena Vision: humorNot measured1293Only Muse Spark 1.3 measured
LMArena Vision: creative writing12171296Muse Spark 1.3
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Grok 4.7 and Muse Spark 1.3
BenchmarkGrok 4.7Muse Spark 1.3Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Grok 4.7$0.0050Fits in one request
Muse Spark 1.3$0.0034Fits in one request

Muse Spark 1.3 costs less

Repository review

50K input + 3K output tokens

Grok 4.7$0.118Fits in one request
Muse Spark 1.3$0.075Fits in one request

Muse Spark 1.3 costs less

Agent loop

200K input + 10K output tokens

Grok 4.7$0.460Fits in one request
Muse Spark 1.3$0.292Fits in one request

Muse Spark 1.3 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Grok 4.7 and Muse Spark 1.3
SpecificationSpaceXAI Grok 4.7Meta Muse Spark 1.3
MakerxAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 21, 2026September 2, 2026
Context window500K1.05M
Input $/Mtok$2.00$1.25
Output $/Mtok$6.00$4.25
Coding index66.757.4
Independent measurements behind it54
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok 4.7 better than Muse Spark 1.3 for coding?

Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 57.4 for Muse Spark 1.3. Pick Muse Spark 1.3 for output tokens 1.4x cheaper ($4.25 vs $6.00 per million) and a larger context window (1.05M against 500K tokens).

Which is cheaper, Grok 4.7 or Muse Spark 1.3?

Grok 4.7 costs $2.00 per million input tokens and $6.00 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for neither of them.

Which has the bigger context window, Grok 4.7 or Muse Spark 1.3?

Muse Spark 1.3, with 1.05M tokens against 500K.

How many benchmarks is the Grok 4.7 vs Muse Spark 1.3 comparison based on?

79 benchmarks have a result for both models as of October 22, 2026. Grok 4.7's coding index rests on 5 independent benchmarks and Muse Spark 1.3's on 4. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/grok-4-7-vs-meta-muse-spark-1-3" title="Grok 4.7 vs Muse Spark 1.3, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/grok-4-7-vs-meta-muse-spark-1-3">LLMBenchmark.ai, Grok 4.7 vs Muse Spark 1.3</a></p>