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Command R (08-2024) vs Muse Spark 1.3

Command R (08-2024) costs 7.1x less per output token than Muse Spark 1.3 ($0.60 vs $4.25 per million). Updated October 22, 2026; 25 benchmarks have a result for both.

Command R (08-2024)Cohere
Coding
No data
Overall
No data
Output $/M
$0.60
0
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
25
vs boards won of 25 shared

Command R (08-2024) or Muse Spark 1.3: which to pick

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Command R (08-2024) has none, so the two cannot be ranked on coding.

Pick Command R (08-2024) for output tokens 7.1x cheaper ($0.60 vs $4.25 per million).

Shared results
25
Command R (08-2024) only
0
Muse Spark 1.3 only
67
Like-for-like categories
5 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
Command R (08-2024) not benchmarked, Muse Spark 1.3 57.4 from 4 benchmarks.
Widest category
Reasoning, 53.8 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Text: expert: Command R (08-2024) 1173 against Muse Spark 1.3 1519, 57.5 points apart on a 0 to 100 scale.
Output price
Command R (08-2024) $0.60 against Muse Spark 1.3 $4.25 per million output tokens, 7.1x apart.
Context window
Command R (08-2024) takes 128K 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
CategoryCommand R (08-2024)BarsMuse Spark 1.3Ties
Coding02
Reasoning03
Math02
Knowledge04
General014
All shared boards025
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Command R (08-2024) and Muse Spark 1.3
BenchmarkCommand R (08-2024)Muse Spark 1.3Leader
LiveBench codingNot measured90.2%Only Muse Spark 1.3 measured
LMArena WebDevNot measured1659Only Muse Spark 1.3 measured
AA Coding IndexNot measured75.8Only Muse Spark 1.3 measured
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)Not measured82.9%Only Muse Spark 1.3 measured
Code migration (Vals AI)Not measured27.6%Only Muse Spark 1.3 measured
ProgramBench (Vals AI)Not measured0.5%Only Muse Spark 1.3 measured
IOI (Vals AI)Not measured43.9%Only Muse Spark 1.3 measured
Terminal-Bench 2.1 (Vals AI)Not measured72.3%Only Muse Spark 1.3 measured
CyberBench (Vals AI)Not measured69.4%Only Muse Spark 1.3 measured
SciCodeNot measured59.7%Only Muse Spark 1.3 measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
ALE-BenchNot measured1688.3Only Muse Spark 1.3 measured
LMArena Text: coding11871510Muse Spark 1.3
LMArena Text: software and IT11971511Muse Spark 1.3
LMArena WebDev: ReactNot measured1672Only Muse Spark 1.3 measured
LMArena WebDev: HTMLNot measured1653Only Muse Spark 1.3 measured
LMArena WebDev: from an imageNot measured1640Only Muse Spark 1.3 measured
Neither model has a result on the other 21 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Command R (08-2024) and Muse Spark 1.3
BenchmarkCommand R (08-2024)Muse Spark 1.3Leader
AA Intelligence IndexNot measured48.1Only Muse Spark 1.3 measured
Epoch Capabilities IndexNot measured157.2Only Muse Spark 1.3 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
Agentic work benchmarks for Command R (08-2024) and Muse Spark 1.3
BenchmarkCommand R (08-2024)Muse 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 researchNot measured68.6%Only Muse Spark 1.3 measured
LiveBench browserNot measured80.0%Only Muse Spark 1.3 measured
LiveBench long agenticNot measured40.4%Only Muse Spark 1.3 measured
Finance Agent (Vals AI)Not measured58.9%Only Muse Spark 1.3 measured
Tax Agent Bench (Vals AI)Not measured36.0%Only Muse Spark 1.3 measured
Legal Research Bench (Vals AI)Not measured40.9%Only Muse Spark 1.3 measured
Excel Modeling Benchmark (Vals AI)Not measured62.7%Only Muse Spark 1.3 measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only Muse Spark 1.3 measured
APEX-AgentsNot measured58.6%Only Muse Spark 1.3 measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Command R (08-2024) and Muse Spark 1.3
BenchmarkCommand R (08-2024)Muse Spark 1.3Leader
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)Not measured94.1%Only Muse Spark 1.3 measured
Humanity's Last Exam (Artificial Analysis run)Not measured48.7%Only Muse Spark 1.3 measured
Chess puzzlesNot measured37.0%Only Muse Spark 1.3 measured
Mystery game puzzlesNot measured25.0%Only Muse Spark 1.3 measured
LMArena Text: hard prompts11861503Muse Spark 1.3
LMArena Text: expert11731519Muse Spark 1.3
LMArena Text: hard prompts in English11941500Muse Spark 1.3
LMArena Vision: diagramsNot measured1330Only Muse Spark 1.3 measured
LMArena Vision: homeworkNot measured1296Only Muse Spark 1.3 measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Command R (08-2024) and Muse Spark 1.3
BenchmarkCommand R (08-2024)Muse Spark 1.3Leader
OTIS Mock AIMENot measured99.2%Only Muse Spark 1.3 measured
FrontierMath, tiers 1 to 3Not measured74.4%Only Muse Spark 1.3 measured
FrontierMath, tier 4Not measured46.3%Only Muse Spark 1.3 measured
ProofBenchNot measured58.0%Only Muse Spark 1.3 measured
LMArena Text: math11881497Muse Spark 1.3
LMArena Text: mathematical work11981491Muse 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 Command R (08-2024) and Muse Spark 1.3
BenchmarkCommand R (08-2024)Muse Spark 1.3Leader
LMArena Text: science12521507Muse Spark 1.3
LMArena Text: medicine and healthcare12381493Muse Spark 1.3
LMArena Text: legal and government12681499Muse Spark 1.3
LMArena Text: business and finance12151490Muse Spark 1.3
Neither model has a result on the other 14 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Command R (08-2024) and Muse Spark 1.3
BenchmarkCommand R (08-2024)Muse Spark 1.3Leader
Design Arena: websitesNot measured1356Only Muse Spark 1.3 measured
Design Arena: UI componentsNot measured1349Only Muse Spark 1.3 measured
Design Arena: game devNot measured1328Only Muse Spark 1.3 measured
Design Arena: data vizNot measured1343Only Muse Spark 1.3 measured
Design Arena: 3DNot measured1358Only Muse Spark 1.3 measured
Design Arena: all code categoriesNot measured1352Only Muse Spark 1.3 measured
Design Arena: SVGNot measured1301Only Muse Spark 1.3 measured
Design Arena: ASCII artNot measured1278Only Muse Spark 1.3 measured
LiveBench designNot measured74.8%Only Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index014
General benchmarks for Command R (08-2024) and Muse Spark 1.3
BenchmarkCommand R (08-2024)Muse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
Long context reasoning (AA-LCR)Not measured83.0%Only Muse Spark 1.3 measured
DTBenchNot measured96.5%Only Muse Spark 1.3 measured
LMCANot measured53.9%Only Muse Spark 1.3 measured
LMArena Text12291490Muse Spark 1.3
LMArena Text: instruction following11971479Muse Spark 1.3
LMArena Text: creative writing12341462Muse Spark 1.3
LMArena VisionNot measured1308Only Muse Spark 1.3 measured
LMArena Text: English12381495Muse Spark 1.3
LMArena Text: non-English12161481Muse Spark 1.3
LMArena Text: Chinese12271532Muse Spark 1.3
LMArena Text: German12161513Muse Spark 1.3
LMArena Text: Japanese11661470Muse Spark 1.3
LMArena Text: Korean11621490Muse Spark 1.3
LMArena Text: FrenchNot measured1511Only Muse Spark 1.3 measured
LMArena Text: SpanishNot measured1496Only Muse Spark 1.3 measured
LMArena Text: Russian12271491Muse Spark 1.3
LMArena Text: PolishNot measured1490Only Muse Spark 1.3 measured
LMArena Text: multi-turn12131487Muse Spark 1.3
LMArena Text: longer queries12301488Muse Spark 1.3
LMArena Text: writing and language12411470Muse Spark 1.3
LMArena Text: entertainment and media12231457Muse Spark 1.3
LMArena Vision: EnglishNot measured1298Only Muse Spark 1.3 measured
LMArena Vision: ChineseNot measured1384Only Muse Spark 1.3 measured
LMArena Vision: reading textNot measured1319Only Muse Spark 1.3 measured
LMArena Vision: humorNot measured1293Only Muse Spark 1.3 measured
LMArena Vision: creative writingNot measured1296Only Muse Spark 1.3 measured
Neither model has a result on the other 19 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Command R (08-2024) and Muse Spark 1.3
BenchmarkCommand R (08-2024)Muse 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

Command R (08-2024)$0.0004Fits in one request
Muse Spark 1.3$0.0034Fits in one request

Command R (08-2024) costs less

Repository review

50K input + 3K output tokens

Command R (08-2024)$0.0093Fits in one request
Muse Spark 1.3$0.075Fits in one request

Command R (08-2024) costs less

Agent loop

200K input + 10K output tokens

Command R (08-2024)$0.036Exceeds the context window
Muse Spark 1.3$0.292Fits in one request

Command R (08-2024) 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 Command R (08-2024) and Muse Spark 1.3
SpecificationCohere Command R (08-2024)Meta Muse Spark 1.3
MakerCohereMeta
WeightsNo public weights listedNo public weights listed
ReleasedAugust 30, 2024September 2, 2026
Context window128K1.05M
Input $/Mtok$0.15$1.25
Output $/Mtok$0.60$4.25
Coding indexNot benchmarked57.4
Independent measurements behind it04
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Command R (08-2024) better than Muse Spark 1.3 for coding?

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Command R (08-2024) has none, so the two cannot be ranked on coding. Pick Command R (08-2024) for output tokens 7.1x cheaper ($0.60 vs $4.25 per million).

Which is cheaper, Command R (08-2024) or Muse Spark 1.3?

Command R (08-2024) costs $0.15 per million input tokens and $0.60 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, Command R (08-2024) or Muse Spark 1.3?

Muse Spark 1.3, with 1.05M tokens against 128K.

How many benchmarks is the Command R (08-2024) vs Muse Spark 1.3 comparison based on?

25 benchmarks have a result for both models as of October 22, 2026. Command R (08-2024)'s coding index rests on 0 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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