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DeepSeek-V3.2-Speciale vs Muse Spark Open

Muse Spark Open leads the LLM Stats Score 44.9 to 33.8. DeepSeek-V3.2-Speciale is 6.3x cheaper per token.

DeepSeek · Meta · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 44.9 to 33.8, ranking #43 overall.

On price, DeepSeek-V3.2-Speciale is roughly 6.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Spark Open also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose DeepSeek-V3.2-Speciale

  • cost matters — it's about 6.3x cheaper per token

Choose Muse Spark Open

  • overall performance matters — it scores 44.9 and ranks #43 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DeepSeek-V3.2-Speciale
DeepSeek
Muse Spark Open
Meta
Core performance indexes
LLM Stats Score
33.8
#115
44.9
#43
Reasoning
32.4
#122
45.2
#39
Coding
18.6
#128
33.0
#42
Agents
10.9
#134
30.6
#43
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.28 / M
$1.25 / M
Output price
$0.42 / M
$4.25 / M
Context window
131,072
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V3.2-Speciale
Muse Spark Open
Math
34.2#50
31.6#69
Tool use
10.2#144
23.3#44
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for DeepSeek-V3.2-Speciale · 17 for Muse Spark Open

No common benchmarks found

DeepSeek-V3.2-Speciale and Muse Spark Opendon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Speciale costs less

For input processing, DeepSeek-V3.2-Speciale ($0.28/1M tokens) is 4.5x cheaper than Muse Spark Open ($1.25/1M tokens).

For output processing, DeepSeek-V3.2-Speciale ($0.42/1M tokens) is 10.1x cheaper than Muse Spark Open ($4.25/1M tokens).

In conclusion, Muse Spark Open is more expensive than DeepSeek-V3.2-Speciale.*

* 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-V3.2-Speciale
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
Meta
Muse Spark Open
Input tokens$1.25
Output tokens$4.25
Best providerTogether
Notice missing or incorrect data?

Model Size

Parameter count comparison

131.0B diff

Muse Spark Open has 131.0B more parameters than DeepSeek-V3.2-Speciale, making it 19.1% larger.

DeepSeek
DeepSeek-V3.2-Speciale
685.0Bparameters
Meta
Muse Spark Open
816.0Bparameters
685.0B
DeepSeek-V3.2-Speciale
816.0B
Muse Spark Open

Context Window

Maximum input and output token capacity

Muse Spark Open accepts 1,048,576 input tokens compared to DeepSeek-V3.2-Speciale's 131,072 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while DeepSeek-V3.2-Speciale is limited to 131,072 tokens.

DeepSeek
DeepSeek-V3.2-Speciale
Input131,072 tokens
Output131,072 tokens
Meta
Muse Spark Open
Input1,048,576 tokens
Output1,048,576 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark Open supports multimodal inputs, whereas DeepSeek-V3.2-Speciale does not.

Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.2-Speciale

Text
Images
Audio
Video

Muse Spark Open

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Speciale is licensed under MIT, while Muse Spark Open uses Muse Model License.

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

DeepSeek-V3.2-Speciale

MIT

Open weights

Muse Spark Open

Muse Model License

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Speciale was released on 2025-12-01, while Muse Spark Open was released on 2026-10-15.

Muse Spark Open is 11 months newer than DeepSeek-V3.2-Speciale.

DeepSeek-V3.2-Speciale

Dec 1, 2025

10 months ago

Muse Spark Open

Oct 15, 2026

4 days ago

10mo newer

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-V3.2-Speciale is available from DeepSeek. Muse Spark Open is available from Together.

DeepSeek-V3.2-Speciale

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M

Muse Spark Open

together logo
Together
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-V3.2-Speciale and Muse Spark Open side-by-side, then vote on the output you prefer.

DeepSeek-V3.2-Speciale
✓ Preferred
Muse Spark Open
Open in Playground

FAQ

Common questions about DeepSeek-V3.2-Speciale vs Muse Spark Open.

Which is better, DeepSeek-V3.2-Speciale or Muse Spark Open?

Muse Spark Open leads the LLM Stats Score 44.9 to 33.8. DeepSeek-V3.2-Speciale is made by DeepSeek and Muse Spark Open 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-V3.2-Speciale compare to Muse Spark Open in benchmarks?

DeepSeek-V3.2-Speciale scores HMMT 2025: 99.2%, AIME 2025: 96.0%, CodeForces: 90.0%, t2-bench: 80.3%, SWE-Bench Verified: 73.1%. Muse Spark Open scores MCP Atlas: 89.2%, GPQA: 89.0%, OSWorld-Verified: 80.4%, BabyVision: 80.2%, Terminal-Bench 2.1: 76.4%.

Is DeepSeek-V3.2-Speciale cheaper than Muse Spark Open?

DeepSeek-V3.2-Speciale is 4.5x cheaper for input tokens. DeepSeek-V3.2-Speciale costs $0.28/M input and $0.42/M output via deepseek. Muse Spark Open costs $1.25/M input and $4.25/M output via together.

What are the context window sizes for DeepSeek-V3.2-Speciale and Muse Spark Open?

DeepSeek-V3.2-Speciale supports 131K tokens and Muse Spark Open 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-V3.2-Speciale and Muse Spark Open?

Key differences include LLM Stats Score (33.8 vs 44.9), context window (131K vs 1.0M), input pricing ($0.28 vs $1.25/M), multimodal support (no vs yes), licensing (MIT vs Muse Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Speciale and Muse Spark Open?

DeepSeek-V3.2-Speciale is developed by DeepSeek and Muse Spark Open is developed by Meta.

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