Enter opens the highlighted result. Esc closes.

Muse Spark Open vs Qwen3.8 Flash

Updated October 21, 2026. 7 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Muse Spark OpenMeta
Coding
62.1
Overall
No data
Output $/M
$4.25
1
Qwen3.8 FlashQwen
Coding
87.4
Overall
No data
Output $/M
$0.47
6
vs boards won of 7 shared

Decision reading

Pick Qwen3.8 Flash for coding: it scores 87.4 on the Vibe Coding Index against 62.1 for Muse Spark Open, though on 1 benchmark against 2.

Pick Muse Spark Open when the context window is larger, 1.05M against 1M tokens, or when the benchmark that matters is LiveBench research, where it leads.

Shared results
7
Muse Spark Open only
19
Qwen3.8 Flash only
0
Like-for-like categories
5 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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
Muse Spark Open 62.1 from 2 benchmarks, Qwen3.8 Flash 87.4 from 1 benchmark.
Widest category
General, 14.0 points apart on average over 1 shared benchmark.
Widest single gap
LiveBench long agentic: Muse Spark Open 18.9% against Qwen3.8 Flash 37.1%, 18.2 points apart on a 0 to 100 scale.
Output price
Muse Spark Open $4.25 against Qwen3.8 Flash $0.47 per million output tokens, 9.0x apart.
Context window
Muse Spark Open takes 1.05M tokens, Qwen3.8 Flash 1M.

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
CategoryMuse Spark OpenBarsQwen3.8 FlashTies
Coding01
Agentic work12
Reasoning01
Web design01
General01
All shared boards16
CodingLike-for-likeFour of these boards feed the Vibe Coding Index01
Coding benchmarks for Muse Spark Open and Qwen3.8 Flash
BenchmarkMuse Spark OpenQwen3.8 FlashLeader
LiveBench coding73.6%87.4%Qwen3.8 Flash
LMArena WebDev1528Not measuredOnly Muse Spark Open measured
Terminal-Bench 4 (Vals AI)6.6%Not measuredOnly Muse Spark Open measured
Vibe Code Bench (Vals AI)76.2%Not measuredOnly Muse Spark Open measured
Code migration (Vals AI)21.2%Not measuredOnly Muse Spark Open measured
SciCode58.4%Not measuredOnly Muse Spark Open measured
ALE-Bench1590.1Not measuredOnly Muse Spark Open measured
LMArena WebDev: React1529Not measuredOnly Muse Spark Open measured
LMArena WebDev: HTML1495Not measuredOnly Muse Spark Open measured
Neither model has a result on the other 29 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Muse Spark Open and Qwen3.8 Flash
BenchmarkMuse Spark OpenQwen3.8 FlashLeader
Epoch Capabilities Index155.1Not measuredOnly Muse Spark Open measured
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index12
Agentic work benchmarks for Muse Spark Open and Qwen3.8 Flash
BenchmarkMuse Spark OpenQwen3.8 FlashLeader
LiveBench research80.3%74.6%Muse Spark Open
LiveBench browser36.0%48.0%Qwen3.8 Flash
LiveBench long agentic18.9%37.1%Qwen3.8 Flash
Finance Agent (Vals AI)61.3%Not measuredOnly Muse Spark Open measured
Tax Agent Bench (Vals AI)26.3%Not measuredOnly Muse Spark Open measured
Legal Research Bench (Vals AI)38.5%Not measuredOnly Muse Spark Open measured
Excel Modeling Benchmark (Vals AI)53.7%Not measuredOnly Muse Spark Open measured
APEX-Agents33.4%Not measuredOnly Muse Spark Open measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
Reasoning benchmarks for Muse Spark Open and Qwen3.8 Flash
BenchmarkMuse Spark OpenQwen3.8 FlashLeader
LiveBench reasoning73.7%87.4%Qwen3.8 Flash
GPQA Diamond (Artificial Analysis run)89.0%Not measuredOnly Muse Spark Open measured
Humanity's Last Exam (Artificial Analysis run)43.9%Not measuredOnly Muse Spark Open measured
Neither model has a result on the other 18 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for Muse Spark Open and Qwen3.8 Flash
BenchmarkMuse Spark OpenQwen3.8 FlashLeader
Neither model has a result on 13 boards here
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Knowledge benchmarks for Muse Spark Open and Qwen3.8 Flash
BenchmarkMuse Spark OpenQwen3.8 FlashLeader
Neither model has a result on 17 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index01
Web design benchmarks for Muse Spark Open and Qwen3.8 Flash
BenchmarkMuse Spark OpenQwen3.8 FlashLeader
Design Arena: websites1311Not measuredOnly Muse Spark Open measured
Design Arena: game dev1290Not measuredOnly Muse Spark Open measured
LiveBench design60.3%72.8%Qwen3.8 Flash
Neither model has a result on the other 6 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for Muse Spark Open and Qwen3.8 Flash
BenchmarkMuse Spark OpenQwen3.8 FlashLeader
LiveBench data analysis60.2%74.2%Qwen3.8 Flash
Long context reasoning (AA-LCR)78.3%Not measuredOnly Muse Spark Open measured
Neither model has a result on the other 44 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Spark Open and Qwen3.8 Flash
BenchmarkMuse Spark OpenQwen3.8 FlashLeader
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

Muse Spark Open$0.0034Fits in one request
Qwen3.8 Flash$0.0004Fits in one request

Qwen3.8 Flash costs less

Repository review

50K input + 3K output tokens

Muse Spark Open$0.075Fits in one request
Qwen3.8 Flash$0.0089Fits in one request

Qwen3.8 Flash costs less

Agent loop

200K input + 10K output tokens

Muse Spark Open$0.292Fits in one request
Qwen3.8 Flash$0.035Fits in one request

Qwen3.8 Flash 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 Muse Spark Open and Qwen3.8 Flash
SpecificationMeta Muse Spark OpenQwen3.8 Flash
MakerMetaQwen
WeightsOpen weightsOpen weights
ReleasedOctober 15, 2026August 26, 2026
Context window1.05M1M
Input $/Mtok$1.25$0.15
Output $/Mtok$4.25$0.47
Coding index62.187.4
Independent measurements behind it21
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark Open better than Qwen3.8 Flash for coding?

Pick Qwen3.8 Flash for coding: it scores 87.4 on the Vibe Coding Index against 62.1 for Muse Spark Open, though on 1 benchmark against 2. Pick Muse Spark Open when the context window is larger, 1.05M against 1M tokens, or when the benchmark that matters is LiveBench research, where it leads.

Which is cheaper, Muse Spark Open or Qwen3.8 Flash?

Muse Spark Open costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3.8 Flash costs $0.15 and $0.47. Cost per solved task is known for neither of them.

Which has the bigger context window, Muse Spark Open or Qwen3.8 Flash?

Muse Spark Open, with 1.05M tokens against 1M.

How many benchmarks is the Muse Spark Open vs Qwen3.8 Flash comparison based on?

7 benchmarks have a result for both models as of October 21, 2026. Muse Spark Open's coding index rests on 2 independent benchmarks and Qwen3.8 Flash's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next