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Grok 4.20 vs Muse Spark Open

Muse Spark Open leads Grok 4.20 on coding, 47.4 to 33.3 on the Vibe Coding Index, and Grok 4.20 costs 1.7x less per output token ($2.50 vs $4.25 per million). Updated October 21, 2026; 12 benchmarks have a result for both.

Grok 4.20xAI
Coding
33.3
Overall
41.0
Output $/M
$2.50
1
Muse Spark OpenMeta
Coding
47.4
Overall
44.9
Output $/M
$4.25
11
vs boards won of 12 shared

Grok 4.20 or Muse Spark Open: which to pick

Pick Muse Spark Open for coding: it scores 47.4 on the Vibe Coding Index against 33.3 for Grok 4.20.

Pick Grok 4.20 for output tokens 1.7x cheaper ($2.50 vs $4.25 per million) and a larger context window (2M against 1.05M tokens).

Shared results
12
Grok 4.20 only
43
Muse Spark Open only
16
Like-for-like categories
6 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 4.20 33.3 from 2 benchmarks, Muse Spark Open 47.4 from 4 benchmarks.
Widest category
Coding, 46.5 points apart on average over 2 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Grok 4.20 4.1% against Muse Spark Open 76.2%, 72.1 points apart on a 0 to 100 scale.
Output price
Grok 4.20 $2.50 against Muse Spark Open $4.25 per million output tokens, 1.7x apart.
Context window
Grok 4.20 takes 2M tokens, Muse Spark Open 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 4.20BarsMuse Spark OpenTies
Coding02
Intelligence01
Agentic work04
Reasoning11
Web design02
General01
All shared boards111
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Grok 4.20 and Muse Spark Open
BenchmarkGrok 4.20Muse Spark OpenLeader
LiveBench codingNot measured73.6%Only Muse Spark Open measured
LMArena WebDevNot measured1528Only Muse Spark Open measured
LiveCodeBench (Vals AI)84.3%Not measuredOnly Grok 4.20 measured
SWE-bench Verified (Vals AI)72.2%Not measuredOnly Grok 4.20 measured
Terminal-Bench 4 (Vals AI)Not measured6.6%Only Muse Spark Open measured
Vibe Code Bench (Vals AI)4.1%76.2%Muse Spark Open
Code migration (Vals AI)0.3%21.2%Muse Spark Open
Terminal-Bench 2.1 (Vals AI)44.2%Not measuredOnly Grok 4.20 measured
SciCodeNot measured58.4%Only Muse Spark Open measured
Terminal-Bench Hard (Artificial Analysis run)37.9%Not measuredOnly Grok 4.20 measured
Terminal-Bench57.3%Not measuredOnly Grok 4.20 measured
WeirdML52.3%Not measuredOnly Grok 4.20 measured
ALE-BenchNot measured1590.1Only Muse Spark Open measured
LMArena WebDev: ReactNot measured1529Only Muse Spark Open measured
LMArena WebDev: HTMLNot measured1495Only Muse Spark Open measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Grok 4.20 and Muse Spark Open
BenchmarkGrok 4.20Muse Spark OpenLeader
AA Intelligence Index25.7Not measuredOnly Grok 4.20 measured
Epoch Capabilities Index152.1155.1Muse Spark Open
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
Agentic work benchmarks for Grok 4.20 and Muse Spark Open
BenchmarkGrok 4.20Muse Spark OpenLeader
Design Arena: agents building web apps1144Not measuredOnly Grok 4.20 measured
Design Arena: agents building full-stack apps1054Not measuredOnly Grok 4.20 measured
Design Arena: agents building mobile apps1090Not measuredOnly Grok 4.20 measured
Design Arena: agents building Android apps1052Not measuredOnly Grok 4.20 measured
Design Arena: agents building Godot games1089Not measuredOnly Grok 4.20 measured
Design Arena: HTML slides1180Not measuredOnly Grok 4.20 measured
LiveBench researchNot measured80.3%Only Muse Spark Open measured
LiveBench browserNot measured36.0%Only Muse Spark Open measured
LiveBench long agenticNot measured18.9%Only Muse Spark Open measured
Finance Agent (Vals AI)28.5%61.3%Muse Spark Open
Tax Agent Bench (Vals AI)7.0%26.3%Muse Spark Open
Legal Research Bench (Vals AI)13.9%38.5%Muse Spark Open
Harvey's Legal Agent Benchmark (Vals AI)Not measured25.0%Only Muse Spark Open measured
Excel Modeling Benchmark (Vals AI)11.7%53.7%Muse Spark Open
τ²-Bench Telecom93.0%Not measuredOnly Grok 4.20 measured
APEX-AgentsNot measured33.4%Only Muse Spark Open measured
Vending-Bench 2$4,663Not measuredOnly Grok 4.20 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
Reasoning benchmarks for Grok 4.20 and Muse Spark Open
BenchmarkGrok 4.20Muse Spark OpenLeader
GPQA Diamond88.6%Not measuredOnly Grok 4.20 measured
LiveBench reasoningNot measured73.7%Only Muse Spark Open measured
MMMU Pro (Vals AI)83.5%Not measuredOnly Grok 4.20 measured
GPQA Diamond (Artificial Analysis run)91.1%89.0%Grok 4.20
Humanity's Last Exam (Artificial Analysis run)34.5%43.9%Muse Spark Open
ARC-AGI89.5%Not measuredOnly Grok 4.20 measured
ARC-AGI-265.1%Not measuredOnly Grok 4.20 measured
Kagi LLM Benchmark75.0%Not measuredOnly Grok 4.20 measured
Neither model has a result on the other 14 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Math benchmarks for Grok 4.20 and Muse Spark Open
BenchmarkGrok 4.20Muse Spark OpenLeader
AIME96.5%Not measuredOnly Grok 4.20 measured
Neither model has a result on the other 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Knowledge benchmarks for Grok 4.20 and Muse Spark Open
BenchmarkGrok 4.20Muse Spark OpenLeader
MMLU Pro86.3%Not measuredOnly Grok 4.20 measured
LegalBench (Vals AI)77.7%Not measuredOnly Grok 4.20 measured
CaseLaw (Vals AI)54.4%Not measuredOnly Grok 4.20 measured
CorpFin (Vals AI)63.7%Not measuredOnly Grok 4.20 measured
TaxEval (Vals AI)74.1%Not measuredOnly Grok 4.20 measured
MortgageTax (Vals AI)45.4%Not measuredOnly Grok 4.20 measured
MedQA (Vals AI)94.5%Not measuredOnly Grok 4.20 measured
MedCode (Vals AI)32.2%Not measuredOnly Grok 4.20 measured
Neither model has a result on the other 10 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index02
Web design benchmarks for Grok 4.20 and Muse Spark Open
BenchmarkGrok 4.20Muse Spark OpenLeader
Design Arena: websites12291317Muse Spark Open
Design Arena: UI components1199Not measuredOnly Grok 4.20 measured
Design Arena: game dev11921294Muse Spark Open
Design Arena: data viz1217Not measuredOnly Grok 4.20 measured
Design Arena: 3D1193Not measuredOnly Grok 4.20 measured
Design Arena: all code categories1221Not measuredOnly Grok 4.20 measured
Design Arena: SVG1164Not measuredOnly Grok 4.20 measured
Design Arena: ASCII art1174Not measuredOnly Grok 4.20 measured
LiveBench designNot measured60.3%Only Muse Spark Open measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for Grok 4.20 and Muse Spark Open
BenchmarkGrok 4.20Muse Spark OpenLeader
Vals IndexNot measured48.6%Only Muse Spark Open measured
LiveBench data analysisNot measured60.2%Only Muse Spark Open measured
SAGE (Vals AI)38.2%Not measuredOnly Grok 4.20 measured
MedScribe (Vals AI)63.4%Not measuredOnly Grok 4.20 measured
Vals Multimodal Index39.1%Not measuredOnly Grok 4.20 measured
IFBench81.2%Not measuredOnly Grok 4.20 measured
Long context reasoning (AA-LCR)69.0%78.3%Muse Spark Open
DTBench90.1%Not measuredOnly Grok 4.20 measured
LMCA38.7%Not measuredOnly Grok 4.20 measured
CL-bench22.2%Not measuredOnly Grok 4.20 measured
CL-bench Life11.9%Not measuredOnly Grok 4.20 measured
Neither model has a result on the other 35 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Grok 4.20 and Muse Spark Open
BenchmarkGrok 4.20Muse Spark OpenLeader
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 4.20$0.0025Fits in one request
Muse Spark Open$0.0034Fits in one request

Grok 4.20 costs less

Repository review

50K input + 3K output tokens

Grok 4.20$0.070Fits in one request
Muse Spark Open$0.075Fits in one request

Grok 4.20 costs less

Agent loop

200K input + 10K output tokens

Grok 4.20$0.275Fits in one request
Muse Spark Open$0.292Fits in one request

Grok 4.20 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 4.20 and Muse Spark Open
SpecificationSpaceXAI Grok 4.20Meta Muse Spark Open
MakerxAIMeta
WeightsNo public weights listedOpen weights
ReleasedMarch 31, 2026October 15, 2026
Context window2M1.05M
Input $/Mtok$1.25$1.25
Output $/Mtok$2.50$4.25
Coding index33.347.4
Independent measurements behind it24
Cost per solved task$0.72Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok 4.20 better than Muse Spark Open for coding?

Pick Muse Spark Open for coding: it scores 47.4 on the Vibe Coding Index against 33.3 for Grok 4.20. Pick Grok 4.20 for output tokens 1.7x cheaper ($2.50 vs $4.25 per million) and a larger context window (2M against 1.05M tokens).

Which is cheaper, Grok 4.20 or Muse Spark Open?

Grok 4.20 costs $1.25 per million input tokens and $2.50 per million output tokens; Muse Spark Open costs $1.25 and $4.25. Cost per solved task is known for Grok 4.20 only.

Which has the bigger context window, Grok 4.20 or Muse Spark Open?

Grok 4.20, with 2M tokens against 1.05M.

How many benchmarks is the Grok 4.20 vs Muse Spark Open comparison based on?

12 benchmarks have a result for both models as of October 21, 2026. Grok 4.20's coding index rests on 2 independent benchmarks and Muse Spark Open'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-4-20-vs-meta-muse-spark-open" title="Grok 4.20 vs Muse Spark Open, 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-4-20-vs-meta-muse-spark-open">LLMBenchmark.ai, Grok 4.20 vs Muse Spark Open</a></p>