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MetaDeepSeekLLM matchup
Muse Spark 1.3vs.DeepSeek-V4.1-Flash
Which one is better?
Muse Spark 1.3 performs better than DeepSeek-V4.1-Flash, but costs 8.3 times (input) and 7.1 times (output) as much.
Muse Spark 1.3
Rank 15
DeepSeek-V4.1-Flash
Rank 29
Muse Spark 1.3
DeepSeek-V4.1-Flash
Muse Spark 1.3
DeepSeek-V4.1-Flash
Muse Spark 1.3
Rank 115 of 876
DeepSeek-V4.1-Flash
Rank 312 of 876
Choose Muse Spark 1.3 for
Choose DeepSeek-V4.1-Flash for
On this page
Where is the difference?
Strengths at a glance
Muse Spark 1.3DeepSeek-V4.1-FlashMedian of all ranked models
95 % range: Muse Spark 1.3 102.9 to 109.2, DeepSeek-V4.1-Flash 91.4 to 106.3.
The same values and verdicts as the bars below. In the close-up the net starts at 90 points, just below the weaker model's lowest value; the reference group average is 100. Not in the net because a model has no own value there or the data are too thin: Reasoning, Knowledge, Health.
Muse Spark 1.3 is ahead in 6 of 10 areas, DeepSeek-V4.1-Flash in none.
Muse Spark 1.3 ahead: 6too little data: 3DeepSeek-V4.1-Flash slightly ahead: 1
Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.
Show 3 more areas that do not count toward the overall index
Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.
Muse Spark 1.3 vs. DeepSeek-V4.1-Flash at the same effort
Both models measured at the same reasoning efforts. This shows whether a lead comes from the model or only from more compute.
| Effort | Muse Spark 1.3 | DeepSeek-V4.1-Flash | Gap | Verdict | Test series |
|---|---|---|---|---|---|
| max | 107.4 | 99.7 | 2.8 | tied | 4 |
| Overall index (max vs. max) | 107.4 | 99.7 | 7.7 | Muse Spark 1.3 ahead |
Gap and verdict compare only the Artificial Analysis test series in which both models are measured at that effort. Tied below 3 points, ahead only beyond two standard errors. The single values rest on all test series of each model, so their difference can deviate from the gap.
Which model for which task?
Everyday tasks, translated from the area values above. Each row names the values it rests on.
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.
Muse Spark 1.3

Oct 2, 2026 · 88 s · $0.03
Test details
- Run date
- Oct 2, 2026
- API provider
- openrouter
- Requested API model
- meta/muse-spark-1.3
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 7,269 tokens
- Cost of the attempt
- $0.0309
- Response time
- 87.9 s
- API model reported in response
- meta/muse-spark-1.3
- Pinned endpoint
- Meta | meta/muse-spark-1.3-20260902
- Temperature
- Provider default
- Test protocol
- community-visual-tests-v1
- Technical checks
- Passed, not a quality rating
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
DeepSeek-V4.1-Flash
The response reached the token limit. No complete recording is available.
Oct 5, 2026 · 26 s · $0.0049
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
Test details
- Run date
- Oct 5, 2026
- API provider
- openrouter
- Requested API model
- deepseek/deepseek-v4.1-flash
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 8,191 tokens
- Cost of the attempt
- $0.0049
- Response time
- 25.8 s
- API model reported in response
- deepseek/deepseek-v4.1-flash
- Pinned endpoint
- DeepSeek | deepseek/deepseek-v4.1-flash-20260910
- Temperature
- Provider default
- Test protocol
- community-visual-tests-v1
- Technical checks
- Failed
Earlier attempts (2)
- Oct 2, 2026API request failedReasoning setting: high
- Oct 1, 2026API request failedReasoning setting: high
SVG short test
SVG short test
One SVG task with the same fixed settings for every model, without hidden thinking.
Prompt
Return only one standalone SVG of a pelican riding a bicycle. Use viewBox="0 0 800 600", simple shapes, two clearly visible wheels and a recognizable pelican with a long beak. At most 30 SVG elements and 1800 characters. No Markdown, explanations, comments, scripts, animation, CSS or external resources.
Muse Spark 1.3
Unavailable in this round
DeepSeek-V4.1-Flash

Oct 14, 2026 · $0.0001
Test details
- Test run
- Oct 14, 2026
- Provider
- decart/fp4
- API model
- deepseek/deepseek-v4.1-flash
- Output
- 590 tokens
- Reasoning
- API reports 0 reasoning tokens
- Cost of the attempt
- $0.0001
- Test round
- 43b8c5c46830
Muse Spark 1.3 and DeepSeek-V4.1-Flash in the overall index
Every model with a place in the overall index, both models of this matchup highlighted. You can add or hide other models.
Overall index (Gradually Meta-Score v4)
20 of 92 models
4 models in this view are measured at a lower reasoning effort than max in the overall index. Dashed column: lower reasoning effort than the top.
Popularity compared
How often the models are searched for, used and mentioned, on a scale from 0 to 100.
Muse Spark 1.3 is more popular than DeepSeek-V4.1-Flash: 50 to 38 out of 100.
Over time
Weekly values from October 18, 2026 to November 6, 2026
Muse Spark 1.3DeepSeek-V4.1-Flash
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | Muse Spark 1.3 | DeepSeek-V4.1-Flash |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 107.4 | 99.7 |
| Rank | Rank 15 of 92 | Rank 29 of 92 |
| Price per 1M tokens | ||
| Inputwhat you send | $1.25 | $0.15 |
| Outputwhat the model writes | $4.25 | $0.60 |
| Cost per task (own tests)average of 2 original-protocol tasks both models passed (SVG short test not included) | $0.038 | $0.008 |
| Speed | ||
| Tokens per second | 120 | 176 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 50Rank 115 of 876 | 38Rank 312 of 876 |
| Technical | ||
| Context windowhow much text the model reads at once | 1.05 M tokens≈ 1,570 A4 pages | 1 M tokens≈ 1,500 A4 pages |
| Knowledge cutoff | n/a | n/a |
| Released | Sep 2, 2026 | Sep 10, 2026 |
| Availability | Active | Active |
| Open weights | no | yes |
- DeepSeek-V4.1-Flash: At peak times (Mon, Tue, Wed, Thu, Fri, 01:00-04:00 UTC; Mon, Tue, Wed, Thu, Fri, 06:00-10:00 UTC) the price is $0.30 input and $1.20 output per 1M tokens. The table shows the off-peak price.
Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis
Is there a better choice?
Overall index 106.6, rank 17$0.15 input and $0.60 output per 1M tokens
Muse Spark 1.3 vs. DeepSeek V4.1 Flash 1017Overall index 103.4, rank 20$0.10 input and $0.50 output per 1M tokens
Muse Spark 1.3 vs. Claude Haiku 5.5Overall index 126.1, rank 1$4 input and $20 output per 1M tokens
Muse Spark 1.3 vs. Claude Opus 5.5Shared 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: DeepSeek-V4.1-Flash
Show 54 more benchmarks
More comparisons
Compare Muse Spark 1.3 and DeepSeek-V4.1-Flash with the models people compare them with most often.
Compare another matchup
Predecessor and successor
The most popular comparisons
- 1Gemini 3.8 Flash vs. DeepSeek-V4.1-Flash
- 2Claude Sonnet 5.5 vs. DeepSeek-V4.1-Flash
- 3Claude Opus 5.5 vs. DeepSeek-V4.1-Flash
- 4GPT-6 Luna vs. DeepSeek-V4.1-Flash
- 5GPT-6 Sol vs. DeepSeek-V4.1-Flash
- 6Claude Haiku 5.5 vs. DeepSeek-V4.1-Flash
- 7GPT-6 Astra vs. DeepSeek-V4.1-Flash
- 8Grok 4.7 vs. DeepSeek-V4.1-Flash
- 9Claude Sonnet 5 vs. DeepSeek-V4.1-Flash
Show all 63 comparisons
- 10GPT-5.6 Terra vs. DeepSeek-V4.1-Flash
- 11DeepSeek-V4.1-Flash vs. Qwen 3.8 Max 0902
- 12Claude Opus 5.5 vs. Muse Spark 1.3
- 13Claude Opus 5 vs. DeepSeek-V4.1-Flash
- 14Claude Opus 4.6 vs. DeepSeek-V4.1-Flash
- 15DeepSeek-V4.1-Flash vs. GLM-5.3-Flash
- 16Claude Sonnet 4.6 vs. DeepSeek-V4.1-Flash
- 17DeepSeek-V4.1-Flash vs. Mistral Large 4
- 18Claude Haiku 5.5 vs. Muse Spark 1.3
- 19DeepSeek-V4-Pro vs. DeepSeek-V4.1-Flash
- 20DeepSeek-V4.1-Flash vs. GLM-5.2
- 21GPT-6.1 Sol vs. DeepSeek-V4.1-Flash
- 22Claude Sonnet 5.5 vs. Muse Spark 1.3
- 23Gemini 3.1 Pro Preview vs. DeepSeek-V4.1-Flash
- 24DeepSeek-V4.1-Flash vs. MiMo-V2.5-Pro
- 25Muse Spark 1.3 vs. Qwen 3.8 Max 0902
- 26Muse Wonder vs. Muse Spark 1.3
- 27DeepSeek-V4.1-Flash vs. GLM-5.3
- 28Claude Opus 5 vs. Muse Spark 1.3
- 29GPT-6 Luna vs. Muse Spark 1.3
- 30Gemini 3.5 Flash-Lite vs. DeepSeek-V4.1-Flash
- 31Gemini 3.6 Flash vs. DeepSeek-V4.1-Flash
- 32Claude Opus 4.8 vs. DeepSeek-V4.1-Flash
- 33Claude Haiku 4.5 vs. DeepSeek-V4.1-Flash
- 34Gemini 3.8 Flash vs. Muse Spark 1.3
- 35GPT-5.6 Sol vs. Muse Spark 1.3
- 36Muse Spark 1.3 vs. DeepSeek V4.1 Flash 1017
- 37Muse Wonder Full vs. Muse Spark 1.3
- 38DeepSeek-V4.1-Flash vs. Kimi K3
- 39GPT-5.6 Sol vs. DeepSeek-V4.1-Flash
- 40Muse Spark 1.3 vs. DeepSeek-V4-Flash
- 41Claude Fable 5 vs. DeepSeek-V4.1-Flash
- 42GPT-5.6 Luna vs. DeepSeek-V4.1-Flash
- 43Gemini 4 Argon vs. DeepSeek-V4.1-Flash
- 44GPT-6 Sol vs. Muse Spark 1.3
- 45DeepSeek-V4.1-Flash vs. Qwen 3.8 27B
- 46Muse Spark 1.3 vs. Kimi K3
- 47Grok 4.6 vs. DeepSeek-V4.1-Flash
- 48DeepSeek-V4.1-Flash vs. Mistral Medium 3.5
- 49DeepSeek-V4.1-Flash vs. MiMo-V2.5
- 50Claude Sonnet 4.5 vs. DeepSeek-V4.1-Flash
- 51Muse Spark 1.3 vs. Mistral Large 4
- 52Claude Fable 5.1 vs. DeepSeek-V4.1-Flash
- 53Claude Opus 4.5 vs. DeepSeek-V4.1-Flash
- 54Claude Opus 4.7 vs. DeepSeek-V4.1-Flash
- 55Claude Opus 4.6 vs. Muse Spark 1.3
- 56DeepSeek-V4.1-Flash vs. GLM-5.1
- 57DeepSeek-V4.1-Flash vs. Mistral Large 3
- 58Gemini 3.5 Flash vs. DeepSeek-V4.1-Flash
- 59GPT-6.1 Sol vs. Muse Spark 1.3
- 60GPT-6.1 Terra vs. DeepSeek-V4.1-Flash
- 61GPT-6.1 Terra vs. Muse Spark 1.3
- 62Muse Wonder vs. DeepSeek-V4.1-Flash
- 63DeepSeek-V4.1-Flash vs. Kimi K3.1 Pro