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Command R (08-2024) vs Muse Spark Open

Command R (08-2024) costs 7.1x less per output token than Muse Spark Open ($0.60 vs $4.25 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Command R (08-2024)Cohere
Coding
No data
Overall
No data
Output $/M
$0.60
Muse Spark OpenMeta
Coding
47.4
Overall
44.9
Output $/M
$4.25
vs $0.60 vs $4.25 per 1M output tokens. Command R (08-2024) is 7.1x cheaper.

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

Only Muse Spark Open has a coding score, 47.4 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).

No benchmark has tested both yet. Command R (08-2024) has results on LMArena Text: coding, LMArena Text: software and IT and LMArena Text: hard prompts; Muse Spark Open on LiveBench coding, LMArena WebDev and Terminal-Bench 4 (Vals AI). Compare them on price and context instead.

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 Open 47.4 from 4 benchmarks.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Command R (08-2024) $0.60 against Muse Spark Open $4.25 per million output tokens, 7.1x apart.
Context window
Command R (08-2024) takes 128K tokens, Muse Spark Open 1.05M.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index11 boards measured
Coding benchmarks for Command R (08-2024) and Muse Spark Open
BenchmarkCommand R (08-2024)Muse Spark OpenLeader
LiveBench codingNot measured73.6%Only Muse Spark Open measured
LMArena WebDevNot measured1528Only Muse Spark Open measured
Terminal-Bench 4 (Vals AI)Not measured6.6%Only Muse Spark Open measured
Vibe Code Bench (Vals AI)Not measured76.2%Only Muse Spark Open measured
Code migration (Vals AI)Not measured21.2%Only Muse Spark Open measured
SciCodeNot measured58.4%Only Muse Spark Open measured
ALE-BenchNot measured1590.1Only Muse Spark Open measured
LMArena Text: coding1187Not measuredOnly Command R (08-2024) measured
LMArena Text: software and IT1197Not measuredOnly Command R (08-2024) 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 28 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Command R (08-2024) and Muse Spark Open
BenchmarkCommand R (08-2024)Muse Spark OpenLeader
Epoch Capabilities IndexNot measured155.1Only Muse Spark Open measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index9 boards measured
Agentic work benchmarks for Command R (08-2024) and Muse Spark Open
BenchmarkCommand R (08-2024)Muse Spark OpenLeader
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)Not measured61.3%Only Muse Spark Open measured
Tax Agent Bench (Vals AI)Not measured26.3%Only Muse Spark Open measured
Legal Research Bench (Vals AI)Not measured38.5%Only Muse Spark Open measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured25.0%Only Muse Spark Open measured
Excel Modeling Benchmark (Vals AI)Not measured53.7%Only Muse Spark Open measured
APEX-AgentsNot measured33.4%Only Muse Spark Open measured
Neither model has a result on the other 32 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
Reasoning benchmarks for Command R (08-2024) and Muse Spark Open
BenchmarkCommand R (08-2024)Muse Spark OpenLeader
LiveBench reasoningNot measured73.7%Only Muse Spark Open measured
GPQA Diamond (Artificial Analysis run)Not measured89.0%Only Muse Spark Open measured
Humanity's Last Exam (Artificial Analysis run)Not measured43.9%Only Muse Spark Open measured
LMArena Text: hard prompts1186Not measuredOnly Command R (08-2024) measured
LMArena Text: expert1173Not measuredOnly Command R (08-2024) measured
LMArena Text: hard prompts in English1194Not measuredOnly Command R (08-2024) measured
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Math benchmarks for Command R (08-2024) and Muse Spark Open
BenchmarkCommand R (08-2024)Muse Spark OpenLeader
LMArena Text: math1188Not measuredOnly Command R (08-2024) measured
LMArena Text: mathematical work1198Not measuredOnly Command R (08-2024) measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Knowledge benchmarks for Command R (08-2024) and Muse Spark Open
BenchmarkCommand R (08-2024)Muse Spark OpenLeader
LMArena Text: science1252Not measuredOnly Command R (08-2024) measured
LMArena Text: medicine and healthcare1238Not measuredOnly Command R (08-2024) measured
LMArena Text: legal and government1268Not measuredOnly Command R (08-2024) measured
LMArena Text: business and finance1215Not measuredOnly Command R (08-2024) measured
Neither model has a result on the other 14 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Web design benchmarks for Command R (08-2024) and Muse Spark Open
BenchmarkCommand R (08-2024)Muse Spark OpenLeader
Design Arena: websitesNot measured1317Only Muse Spark Open measured
Design Arena: game devNot measured1294Only Muse Spark Open measured
LiveBench designNot measured60.3%Only Muse Spark Open measured
Neither model has a result on the other 6 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index17 boards measured
General benchmarks for Command R (08-2024) and Muse Spark Open
BenchmarkCommand R (08-2024)Muse Spark OpenLeader
Vals IndexNot measured48.6%Only Muse Spark Open measured
LiveBench data analysisNot measured60.2%Only Muse Spark Open measured
Long context reasoning (AA-LCR)Not measured78.3%Only Muse Spark Open measured
LMArena Text1229Not measuredOnly Command R (08-2024) measured
LMArena Text: instruction following1197Not measuredOnly Command R (08-2024) measured
LMArena Text: creative writing1234Not measuredOnly Command R (08-2024) measured
LMArena Text: English1238Not measuredOnly Command R (08-2024) measured
LMArena Text: non-English1216Not measuredOnly Command R (08-2024) measured
LMArena Text: Chinese1227Not measuredOnly Command R (08-2024) measured
LMArena Text: German1216Not measuredOnly Command R (08-2024) measured
LMArena Text: Japanese1166Not measuredOnly Command R (08-2024) measured
LMArena Text: Korean1162Not measuredOnly Command R (08-2024) measured
LMArena Text: Russian1227Not measuredOnly Command R (08-2024) measured
LMArena Text: multi-turn1213Not measuredOnly Command R (08-2024) measured
LMArena Text: longer queries1230Not measuredOnly Command R (08-2024) measured
LMArena Text: writing and language1241Not measuredOnly Command R (08-2024) measured
LMArena Text: entertainment and media1223Not measuredOnly Command R (08-2024) measured
Neither model has a result on the other 29 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 Open$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 Open$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 Open$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 Open
SpecificationCohere Command R (08-2024)Meta Muse Spark Open
MakerCohereMeta
WeightsNo public weights listedOpen weights
ReleasedAugust 30, 2024October 15, 2026
Context window128K1.05M
Input $/Mtok$0.15$1.25
Output $/Mtok$0.60$4.25
Coding indexNot benchmarked47.4
Independent measurements behind it04
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Only Muse Spark Open has a coding score, 47.4 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 Open?

Command R (08-2024) costs $0.15 per million input tokens and $0.60 per million output tokens; Muse Spark Open 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 Open?

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

Has any benchmark tested both Command R (08-2024) and Muse Spark Open?

No benchmark has tested both yet. Command R (08-2024) has results on LMArena Text: coding, LMArena Text: software and IT and LMArena Text: hard prompts; Muse Spark Open on LiveBench coding, LMArena WebDev and Terminal-Bench 4 (Vals AI). Compare them on price and context instead. Data as of October 21, 2026.

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