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- Muse Spark 1.3 vs. Qwen 3.8 27B
Muse Spark 1.3vs.Qwen 3.8 27B
Which one is better?
Muse Spark 1.3 is clearly ahead in the overall index, but costs 31.3 times (input) and 1.7 times (output) as much per token.
Muse Spark 1.3
Rank 13 to 18
Qwen 3.8 27B
Rank 44 to 57
Muse Spark 1.3
fast
Qwen 3.8 27B
slow
Muse Spark 1.3
fairly expensive
Qwen 3.8 27B
fairly cheap
Muse Spark 1.3
- Subscription
No Meta subscription includes this model. Through other providers from ≈ €10.60 a month (Command Code GOAT, with limited credits). 5 plans in Germany.
- Via API
$1.25 input, $4.25 output per 1M tokens, unchanged since Sep 3, 2026.
Qwen 3.8 27B
- Subscription
No Alibaba subscription includes this model. Through other providers from ≈ €1.06 a month (Command Code Go, with limited credits). 10 plans in Germany.
- Via API
$0.04 input, $2.50 output per 1M tokens according to the provider; the price index has listed it at $0.42 and $3 since Oct 27, 2026.
Overall index with data through Oct 29, 2026 · Prices from Oct 29, 2026 · Speed: measured by Artificial Analysis · Subscriptions as of Oct 24, 2026 · Subscription prices incl. VAT
Where is the difference?
Values from 0 to 100 per task area. We only name a winner when the gap is large enough and there are enough tests.
Muse Spark 1.3 ahead: 8Qwen 3.8 27B ahead: 0level: 0too little data: 2of 10 areas
Show 1 more areas that do not count toward the overall index
See for yourself: same task, one attempt
The same prompt for both models. We show the latest attempt without fixes; it does not count toward the overall index.
Pelican on a bicycle
A community classic for free-form SVG drawing.
Muse Spark 1.3

Reasoning (requested): high
Current attempt
- Run date
- Oct 2, 2026
- API provider
- openrouter
- Requested API model
- meta/muse-spark-1.3
- API model reported in response
- meta/muse-spark-1.3
- Reasoning setting
- high
- Pinned endpoint
- Meta | meta/muse-spark-1.3-20260902
- Temperature
- Provider default
- Token limit including reasoning
- 8,192 tokens
- Test protocol
- community-visual-tests-v1
- Technical checks
- Passed, not a quality rating
- Response time
- 87.9 s
Visually reviewed. This individual test does not establish overall model quality.
Earlier attempts (2)
- Oct 1, 2026Output withheld for safetyReasoning setting: high
- Sep 7, 2026API request failedReasoning setting: high
Qwen 3.8 27B
Not tested yet
Prompt and test conditions
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)SVG short test
SVG short test
One SVG task with the same fixed settings for every model, without hidden thinking.
Shared test round: 43b8c5c46830
Muse Spark 1.3
Unavailable in this round
Qwen 3.8 27B

Test details
API reports 0 reasoning tokensAPI model: qwen/qwen3.8-27b865 output tokensAll data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | Muse Spark 1.3 | Qwen 3.8 27B |
|---|---|---|
| Intelligence | ||
| Overall index0 to 100, higher is better | 69 | 11 |
| Rank | Rank 13 to 18 of 95 | Rank 44 to 57 of 95 |
| Price per 1M tokens | ||
| Inputwhat you send | $1.25 | $0.04 |
| Outputwhat the model writes | $4.25 | $2.50 |
| Speed | ||
| Tokens per second | 198 | 40 |
| Technical | ||
| Context windowhow much text the model reads at once | 1.05 M tokens≈ 1,570 A4 pages | 262,144 tokens≈ 390 A4 pages |
| Knowledge cutoff | n/a | n/a |
| Released | Sep 2, 2026 | Aug 14, 2026 |
| Availability | Active | Active |
| Open weights | no | yes |
Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis
Shared benchmarks
Single results from the same benchmark version, task and metric. A value is bold only with the same test setup and a clear gap.
A: Muse Spark 1.3B: Qwen 3.8 27B
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