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DeepSeek-V4.1-Flash-1017 vs Muse Wonder

DeepSeek-V4.1-Flash-1017 and Muse Wonder are closely matched at 51.0 and 49.7 on the LLM Stats Score. DeepSeek-V4.1-Flash-1017 is 15.2x cheaper per token.

DeepSeek · Meta · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 and Muse Wonder are closely matched on the overall LLM Stats Score at 51.0 and 49.7.

In the 3 individual benchmarks reported for both models, Muse Wonder wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V4.1-Flash-1017 is roughly 15.2x 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

  • cost matters — it's about 15.2x 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 Wonder

  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Muse Wonder
Meta
Core performance indexes
LLM Stats Score
51.0
#15
49.7
#22
Reasoning
48.6
#18
42.4
#57
Coding
39.1
#15
39.5
#12
Agents
38.6
#9
37.6
#14
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
$0.30 / M
$4.00 / M
Output price
$1.20 / M
$20.00 / 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 Wonder
Vision
32.2#26
26.6#52
Tool use
30.9#7
22.4#54
Multimodal
35.0#14
26.6#52
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 18 for Muse Wonder

3 shared

DeepSeek-V4.1-Flash-1017 outperforms in 0 benchmarks, while Muse Wonder is better at 3 benchmarks (DeepSWE 1.1, Program Bench, Terminal-Bench 4.0).

Muse Wonder significantly outperforms across most 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 13.3x cheaper than Muse Wonder ($4.00/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 16.7x cheaper than Muse Wonder ($20.00/1M tokens).

In conclusion, Muse Wonder 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 Wonder
Input tokens$4.00
Output tokens$20.00
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. Only DeepSeek-V4.1-Flash-1017 specifies output context (393,216 tokens).

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

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash-1017 and Muse Wonder 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 Wonder

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Muse Wonder 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 Wonder

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Muse Wonder was released on 2026-10-12.

DeepSeek-V4.1-Flash-1017 is 0 month newer than Muse Wonder.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

5d newer
Muse Wonder

Oct 12, 2026

1 weeks 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 Wonder 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 Wonder

meta logo
Meta
Input Price:Input: $4.00/1MOutput Price:Output: $20.00/1M
* 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 Wonder side-by-side, then vote on the output you prefer.

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

FAQ

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

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

DeepSeek-V4.1-Flash-1017 and Muse Wonder are closely matched on the LLM Stats Score at 51.0 and 49.7. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Muse Wonder 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 Wonder 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 Wonder scores MemoryBench: 85.6%, DeepSWE 1.1: 78.8%, OSWorld 2.1 (partial): 72.6%, JobBench: 70.5%, HealthBench Professional: 60.5%.

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

DeepSeek-V4.1-Flash-1017 is 13.3x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. Muse Wonder costs $4.00/M input and $20.00/M output via meta.

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

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Muse Wonder 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 Wonder?

Key differences include LLM Stats Score (51.0 vs 49.7), input pricing ($0.30 vs $4.00/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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

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

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