The AI arena is free today

Open Superagent

DeepSeek-V4.1-Flash-1017 vs Muse Spark 1.1

DeepSeek-V4.1-Flash-1017 and Muse Spark 1.1 are closely matched at 51.0 and 48.2 on the LLM Stats Score. DeepSeek-V4.1-Flash-1017 is 3.8x cheaper per token.

DeepSeek · Meta · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 and Muse Spark 1.1 are closely matched on the overall LLM Stats Score at 51.0 and 48.2.

In the 3 individual benchmarks reported for both models, DeepSeek-V4.1-Flash-1017 wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V4.1-Flash-1017 is roughly 3.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V4.1-Flash-1017

  • your work emphasizes agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • cost matters — it's about 3.8x cheaper per token
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

Choose Muse Spark 1.1

  • you want predictable pricing at $1.25/M input and $4.25/M output

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Muse Spark 1.1
Meta
Core performance indexes
LLM Stats Score
51.0
#15
48.2
#30
Reasoning
48.6
#18
49.1
#17
Coding
39.1
#15
31.9
#50
Agents
38.6
#9
32.6
#37
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
$0.30 / M
$1.25 / M
Output price
$1.20 / M
$4.25 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
DeepSeek-V4.1-Flash-1017
Muse Spark 1.1
Vision
32.2#26
34.7#14
Tool use
30.9#7
28.9#20
Multimodal
35.0#14
32.7#22
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 11 for Muse Spark 1.1

3 shared

DeepSeek-V4.1-Flash-1017 outperforms in 2 benchmarks (BabyVision, DeepSWE 1.1), while Muse Spark 1.1 is better at 1 benchmark (Humanity's Last Exam).

DeepSeek-V4.1-Flash-1017 shows notably better performance in the majority of benchmarks.

Mon Oct 19 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4.1-Flash-1017 costs less

For input processing, DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens) is 4.2x cheaper than Muse Spark 1.1 ($1.25/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 3.5x cheaper than Muse Spark 1.1 ($4.25/1M tokens).

In conclusion, Muse Spark 1.1 is more expensive than DeepSeek-V4.1-Flash-1017.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Oct 19 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash-1017
Input tokens$0.30
Output tokens$1.20
Best providerDeepSeek
Meta
Muse Spark 1.1
Input tokens$1.25
Output tokens$4.25
Best providerMeta
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while Muse Spark 1.1 is limited to 131,072 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash-1017 and Muse Spark 1.1 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

Muse Spark 1.1

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Muse Spark 1.1 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V4.1-Flash-1017

MIT

Open weights

Muse Spark 1.1

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Muse Spark 1.1 was released on 2026-07-09.

DeepSeek-V4.1-Flash-1017 is 3 months newer than Muse Spark 1.1.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

3mo newer
Muse Spark 1.1

Jul 9, 2026

3 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V4.1-Flash-1017 is available from DeepSeek. Muse Spark 1.1 is available from Meta Model API.

DeepSeek-V4.1-Flash-1017

deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Muse Spark 1.1

meta logo
Meta
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and Muse Spark 1.1 side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Muse Spark 1.1
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Muse Spark 1.1.

Which is better, DeepSeek-V4.1-Flash-1017 or Muse Spark 1.1?

DeepSeek-V4.1-Flash-1017 and Muse Spark 1.1 are closely matched on the LLM Stats Score at 51.0 and 48.2. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Muse Spark 1.1 is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4.1-Flash-1017 compare to Muse Spark 1.1 in benchmarks?

DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%. Muse Spark 1.1 scores CharXiv-R: 88.4%, MCP Atlas: 88.1%, OSWorld-Verified: 80.8%, Terminal-Bench 2.1: 80.0%, BabyVision: 76.3%.

Is DeepSeek-V4.1-Flash-1017 cheaper than Muse Spark 1.1?

DeepSeek-V4.1-Flash-1017 is 4.2x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. Muse Spark 1.1 costs $1.25/M input and $4.25/M output via meta.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Muse Spark 1.1?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Muse Spark 1.1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4.1-Flash-1017 and Muse Spark 1.1?

Key differences include LLM Stats Score (51.0 vs 48.2), input pricing ($0.30 vs $1.25/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Muse Spark 1.1?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Muse Spark 1.1 is developed by Meta.

Related comparisons