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DeepSeek V3.1 Terminus vs Muse Spark Open

DeepSeek V3.1 Terminus costs 4.2x less per output token than Muse Spark Open ($1.0142 vs $4.25 per million). Updated October 22, 2026; 7 benchmarks have a result for both.

DeepSeek V3.1 TerminusDeepSeek
Coding
No data
Overall
No data
Output $/M
$1.0142
0
Muse Spark OpenMeta
Coding
47.4
Overall
44.9
Output $/M
$4.25
7
vs boards won of 7 shared

DeepSeek V3.1 Terminus or Muse Spark Open: which to pick

Only Muse Spark Open has a coding score, 47.4 on the Vibe Coding Index; DeepSeek V3.1 Terminus has none, so the two cannot be ranked on coding.

Pick DeepSeek V3.1 Terminus for output tokens 4.2x cheaper ($1.0142 vs $4.25 per million).

Shared results
7
DeepSeek V3.1 Terminus only
38
Muse Spark Open only
21
Like-for-like categories
4 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
DeepSeek V3.1 Terminus not benchmarked, Muse Spark Open 47.4 from 4 benchmarks.
Widest category
Coding, 24.3 points apart on average over 2 shared benchmarks.
Widest single gap
ALE-Bench: DeepSeek V3.1 Terminus 745.2 against Muse Spark Open 1590.1, 28.2 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.1 Terminus $1.0142 against Muse Spark Open $4.25 per million output tokens, 4.2x apart.
Context window
DeepSeek V3.1 Terminus takes 164K 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
CategoryDeepSeek V3.1 TerminusBarsMuse Spark OpenTies
Coding02
Reasoning02
Web design02
General01
All shared boards07
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for DeepSeek V3.1 Terminus and Muse Spark Open
BenchmarkDeepSeek V3.1 TerminusMuse Spark OpenLeader
LiveBench codingNot measured73.6%Only Muse Spark Open measured
LMArena WebDevNot measured1528Only Muse Spark Open measured
AA Coding Index43.5Not measuredOnly DeepSeek V3.1 Terminus 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
LiveCodeBench (Artificial Analysis run)79.8%Not measuredOnly DeepSeek V3.1 Terminus measured
SciCode38.0%58.4%Muse Spark Open
Terminal-Bench Hard (Artificial Analysis run)31.8%Not measuredOnly DeepSeek V3.1 Terminus measured
ALE-Bench745.21590.1Muse Spark Open
LMArena Text: coding1425Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: software and IT1426Not measuredOnly DeepSeek V3.1 Terminus 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 25 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for DeepSeek V3.1 Terminus and Muse Spark Open
BenchmarkDeepSeek V3.1 TerminusMuse Spark OpenLeader
AA Intelligence Index14.8Not measuredOnly DeepSeek V3.1 Terminus measured
Epoch Capabilities IndexNot measured155.1Only Muse Spark Open measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Agentic work benchmarks for DeepSeek V3.1 Terminus and Muse Spark Open
BenchmarkDeepSeek V3.1 TerminusMuse Spark OpenLeader
AA Agentic Index6.8Not measuredOnly DeepSeek V3.1 Terminus 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)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
τ²-Bench Telecom37.1%Not measuredOnly DeepSeek V3.1 Terminus measured
APEX-AgentsNot measured33.4%Only Muse Spark Open measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for DeepSeek V3.1 Terminus and Muse Spark Open
BenchmarkDeepSeek V3.1 TerminusMuse Spark OpenLeader
LiveBench reasoningNot measured73.7%Only Muse Spark Open measured
GPQA Diamond (Artificial Analysis run)79.2%89.0%Muse Spark Open
Humanity's Last Exam (Artificial Analysis run)16.4%43.9%Muse Spark Open
LMArena Text: hard prompts1426Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: hard prompts in English1432Not measuredOnly DeepSeek V3.1 Terminus measured
Kagi LLM Benchmark57.4%Not measuredOnly DeepSeek V3.1 Terminus measured
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for DeepSeek V3.1 Terminus and Muse Spark Open
BenchmarkDeepSeek V3.1 TerminusMuse Spark OpenLeader
AA Math Index89.7Not measuredOnly DeepSeek V3.1 Terminus measured
AIME 2025 (Artificial Analysis run)89.7%Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: math1402Not measuredOnly DeepSeek V3.1 Terminus measured
Neither model has a result on the other 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Knowledge benchmarks for DeepSeek V3.1 Terminus and Muse Spark Open
BenchmarkDeepSeek V3.1 TerminusMuse Spark OpenLeader
MMLU Pro (Artificial Analysis run)85.1%Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: science1451Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: medicine and healthcare1468Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: legal and government1457Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: business and finance1414Not measuredOnly DeepSeek V3.1 Terminus measured
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index02
Web design benchmarks for DeepSeek V3.1 Terminus and Muse Spark Open
BenchmarkDeepSeek V3.1 TerminusMuse Spark OpenLeader
Design Arena: websites11871310Muse Spark Open
Design Arena: UI components1182Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: game dev11311282Muse Spark Open
Design Arena: data viz1168Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: 3D1141Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: all code categories1175Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: SVG1065Not measuredOnly DeepSeek V3.1 Terminus measured
LiveBench designNot measured60.3%Only Muse Spark Open measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for DeepSeek V3.1 Terminus and Muse Spark Open
BenchmarkDeepSeek V3.1 TerminusMuse Spark OpenLeader
Vals IndexNot measured48.6%Only Muse Spark Open measured
LiveBench data analysisNot measured60.2%Only Muse Spark Open measured
IFBench57.0%Not measuredOnly DeepSeek V3.1 Terminus measured
Long context reasoning (AA-LCR)69.3%78.3%Muse Spark Open
DTBench81.3%Not measuredOnly DeepSeek V3.1 Terminus measured
LMCA28.6%Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text1419Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: instruction following1404Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: creative writing1403Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: English1429Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: non-English1408Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: Russian1435Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: Polish1427Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: multi-turn1411Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: longer queries1422Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: writing and language1409Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: entertainment and media1391Not measuredOnly DeepSeek V3.1 Terminus measured
Neither model has a result on the other 29 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3.1 Terminus and Muse Spark Open
BenchmarkDeepSeek V3.1 TerminusMuse 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

DeepSeek V3.1 Terminus$0.0008Fits in one request
Muse Spark Open$0.0034Fits in one request

DeepSeek V3.1 Terminus costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.1 Terminus$0.018Fits in one request
Muse Spark Open$0.075Fits in one request

DeepSeek V3.1 Terminus costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.1 Terminus$0.071Exceeds the context window
Muse Spark Open$0.292Fits in one request

DeepSeek V3.1 Terminus 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 DeepSeek V3.1 Terminus and Muse Spark Open
SpecificationDeepSeek V3.1 TerminusMeta Muse Spark Open
MakerDeepSeekMeta
WeightsOpen weightsOpen weights
ReleasedSeptember 22, 2025October 15, 2026
Context window164K1.05M
Input $/Mtok$0.3063$1.25
Output $/Mtok$1.0142$4.25
Coding indexNot benchmarked47.4
Independent measurements behind it04
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.1 Terminus better than Muse Spark Open for coding?

Only Muse Spark Open has a coding score, 47.4 on the Vibe Coding Index; DeepSeek V3.1 Terminus has none, so the two cannot be ranked on coding. Pick DeepSeek V3.1 Terminus for output tokens 4.2x cheaper ($1.0142 vs $4.25 per million).

Which is cheaper, DeepSeek V3.1 Terminus or Muse Spark Open?

DeepSeek V3.1 Terminus costs $0.3063 per million input tokens and $1.0142 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, DeepSeek V3.1 Terminus or Muse Spark Open?

Muse Spark Open, with 1.05M tokens against 164K.

How many benchmarks is the DeepSeek V3.1 Terminus vs Muse Spark Open comparison based on?

7 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3.1 Terminus's coding index rests on 0 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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