Model Comparison

DeepSeek-V3 0324 vs Muse Spark 1.1Which is better in 2026?

Comparing DeepSeek-V3 0324 and Muse Spark 1.1 across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-V3 0324 vs Muse Spark 1.1 — which is better?

DeepSeek-V3 0324 (by DeepSeek) and Muse Spark 1.1 (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, DeepSeek-V3 0324 is roughly 4.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Spark 1.1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek-V3 0324 if…

  • cost matters — it's about 4.0x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Muse Spark 1.1 if…

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3 0324 and Muse Spark 1.1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 0324 costs less

For input processing, DeepSeek-V3 0324 ($0.28/1M tokens) is 4.5x cheaper than Muse Spark 1.1 ($1.25/1M tokens).

For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 3.7x cheaper than Muse Spark 1.1 ($4.25/1M tokens).

In conclusion, Muse Spark 1.1 is more expensive than DeepSeek-V3 0324.*

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

Lowest available price from all providers
Sun Jul 19 2026 • llm-stats.com
DeepSeek
DeepSeek-V3 0324
Input tokens$0.28
Output tokens$1.14
Best providerNovita
Meta
Muse Spark 1.1
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 1.1 accepts 1,048,576 input tokens compared to DeepSeek-V3 0324's 163,840 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while Muse Spark 1.1 is limited to 131,072 tokens.

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Sun Jul 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Muse Spark 1.1 supports multimodal inputs, whereas DeepSeek-V3 0324 does not.

Muse Spark 1.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3 0324

Text
Images
Audio
Video

Muse Spark 1.1

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), 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-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

Muse Spark 1.1

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Muse Spark 1.1 was released on 2026-07-09.

Muse Spark 1.1 is 16 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.3 years ago

Muse Spark 1.1

Jul 9, 2026

1 weeks ago

1.3yr 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 0324 is available from Novita. Muse Spark 1.1 is available from Meta Model API.

DeepSeek-V3 0324

novita logo
Novita
Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M

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

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Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Meta
Larger context window (1,048,576 tokens)
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V3 0324 and Muse Spark 1.1 side-by-side, then vote on the output you prefer.

DeepSeek-V3 0324
✓ Preferred
Muse Spark 1.1
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
Meta
Muse Spark 1.1

FAQ

Common questions about DeepSeek-V3 0324 vs Muse Spark 1.1.

Which is better, DeepSeek-V3 0324 or Muse Spark 1.1?

DeepSeek-V3 0324 (DeepSeek) and Muse Spark 1.1 (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V3 0324 compare to Muse Spark 1.1 in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. 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-V3 0324 cheaper than Muse Spark 1.1?

DeepSeek-V3 0324 is 4.5x cheaper for input tokens. DeepSeek-V3 0324 costs $0.28/M input and $1.14/M output via novita. Muse Spark 1.1 costs $1.25/M input and $4.25/M output via meta.

What are the context window sizes for DeepSeek-V3 0324 and Muse Spark 1.1?

DeepSeek-V3 0324 supports 164K 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-V3 0324 and Muse Spark 1.1?

Key differences include context window (164K vs 1.0M), input pricing ($0.28 vs $1.25/M), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 0324 and Muse Spark 1.1?

DeepSeek-V3 0324 is developed by DeepSeek and Muse Spark 1.1 is developed by Meta.

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