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DeepSeek-V3.2-Exp vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 54.3 to 28.2. DeepSeek-V3.2-Exp is 6.6x cheaper per token.

DeepSeek · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 54.3 to 28.2, ranking #6 overall.

On price, DeepSeek-V3.2-Exp is roughly 6.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Spark 1.3 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-Exp

  • cost matters — it's about 6.6x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Muse Spark 1.3

  • overall performance matters — it scores 54.3 and ranks #6 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 Sep 2026

At a glance

The differences that matter most.

DeepSeek-V3.2-Exp
DeepSeek
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
28.2
#134
54.3
#6
Reasoning
28.1
#130
51.8
#7
Coding
17.5
#119
41.8
#10
Agents
5.9
#143
40.1
#6
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.27 / M
$1.25 / M
Output price
$0.41 / M
$4.25 / M
Context window
163,840
1,048,576

Individual benchmarks

14 reported for DeepSeek-V3.2-Exp · 11 for Muse Spark 1.3

No common benchmarks found

DeepSeek-V3.2-Exp and Muse Spark 1.3don'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-Exp costs less

For input processing, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 4.6x cheaper than Muse Spark 1.3 ($1.25/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 10.4x cheaper than Muse Spark 1.3 ($4.25/1M tokens).

In conclusion, Muse Spark 1.3 is more expensive than DeepSeek-V3.2-Exp.*

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

Lowest available price from all providers
Sun Sep 20 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
Meta
Muse Spark 1.3
Input tokens$1.25
Output tokens$4.25
Best providerMeta
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Muse Spark 1.3 accepts 1,048,576 input tokens compared to DeepSeek-V3.2-Exp's 163,840 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while DeepSeek-V3.2-Exp is limited to 65,536 tokens.

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.3 supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.

Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.2-Exp

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, while Muse Spark 1.3 uses a proprietary license.

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

DeepSeek-V3.2-Exp

MIT

Open weights

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 11 months newer than DeepSeek-V3.2-Exp.

DeepSeek-V3.2-Exp

Sep 29, 2025

11 months ago

Muse Spark 1.3

Sep 2, 2026

2 weeks ago

11mo 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-Exp is available from Novita. Muse Spark 1.3 is available from Meta Model API.

DeepSeek-V3.2-Exp

novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M

Muse Spark 1.3

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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V3.2-Exp and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

DeepSeek-V3.2-Exp
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about DeepSeek-V3.2-Exp vs Muse Spark 1.3.

Which is better, DeepSeek-V3.2-Exp or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 54.3 to 28.2. DeepSeek-V3.2-Exp is made by DeepSeek and Muse Spark 1.3 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-Exp compare to Muse Spark 1.3 in benchmarks?

DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. Muse Spark 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%.

Is DeepSeek-V3.2-Exp cheaper than Muse Spark 1.3?

DeepSeek-V3.2-Exp is 4.6x cheaper for input tokens. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita. Muse Spark 1.3 costs $1.25/M input and $4.25/M output via meta.

What are the context window sizes for DeepSeek-V3.2-Exp and Muse Spark 1.3?

DeepSeek-V3.2-Exp supports 164K tokens and Muse Spark 1.3 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-Exp and Muse Spark 1.3?

Key differences include LLM Stats Score (28.2 vs 54.3), context window (164K vs 1.0M), input pricing ($0.27 vs $1.25/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Exp and Muse Spark 1.3?

DeepSeek-V3.2-Exp is developed by DeepSeek and Muse Spark 1.3 is developed by Meta.

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