Model Comparison

Muse Spark 1.1 vs Pixtral-12BWhich is better in 2026?

Comparing Muse Spark 1.1 and Pixtral-12B across benchmarks, pricing, and capabilities.

Verdict: Muse Spark 1.1 vs Pixtral-12B — which is better?

Muse Spark 1.1 (by Meta) and Pixtral-12B (by Mistral AI) 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, Pixtral-12B is roughly 13.3x 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 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

Choose Pixtral-12B if…

  • cost matters — it's about 13.3x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Muse Spark 1.1 and Pixtral-12Bdon'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

Pixtral-12B costs less

For input processing, Muse Spark 1.1 ($1.25/1M tokens) is 8.3x more expensive than Pixtral-12B ($0.15/1M tokens).

For output processing, Muse Spark 1.1 ($4.25/1M tokens) is 28.3x more expensive than Pixtral-12B ($0.15/1M tokens).

In conclusion, Muse Spark 1.1 is more expensive than Pixtral-12B.*

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

Lowest available price from all providers
Sat Jul 18 2026 • llm-stats.com
Meta
Muse Spark 1.1
Input tokens$1.25
Output tokens$4.25
Best providerMeta
Mistral AI
Pixtral-12B
Input tokens$0.15
Output tokens$0.15
Best providerMistral
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 Pixtral-12B's 128,000 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while Pixtral-12B is limited to 8,192 tokens.

Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Muse Spark 1.1 and Pixtral-12B support multimodal inputs.

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

Muse Spark 1.1

Text
Images
Audio
Video

Pixtral-12B

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark 1.1 is licensed under a proprietary license, while Pixtral-12B uses Apache 2.0.

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

Muse Spark 1.1

Proprietary

Closed source

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Muse Spark 1.1 was released on 2026-07-09, while Pixtral-12B was released on 2024-09-17.

Muse Spark 1.1 is 22 months newer than Pixtral-12B.

Muse Spark 1.1

Jul 9, 2026

1 weeks ago

1.8yr newer
Pixtral-12B

Sep 17, 2024

1.8 years 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

Muse Spark 1.1 is available from Meta Model API. Pixtral-12B is available from Mistral AI.

Muse Spark 1.1

meta logo
Meta
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M

Pixtral-12B

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Meta
Larger context window (1,048,576 tokens)
Mistral AI
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Muse Spark 1.1 and Pixtral-12B side-by-side, then vote on the output you prefer.

Muse Spark 1.1
✓ Preferred
Pixtral-12B
Open in Playground
AI Model Comparison Table
Feature
Meta
Muse Spark 1.1
Mistral AI
Pixtral-12B

FAQ

Common questions about Muse Spark 1.1 vs Pixtral-12B.

Which is better, Muse Spark 1.1 or Pixtral-12B?

Muse Spark 1.1 (Meta) and Pixtral-12B (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Muse Spark 1.1 compare to Pixtral-12B in benchmarks?

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%. Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.

Is Muse Spark 1.1 cheaper than Pixtral-12B?

Pixtral-12B is 8.3x cheaper for input tokens. Muse Spark 1.1 costs $1.25/M input and $4.25/M output via meta. Pixtral-12B costs $0.15/M input and $0.15/M output via mistral.

What are the context window sizes for Muse Spark 1.1 and Pixtral-12B?

Muse Spark 1.1 supports 1.0M tokens and Pixtral-12B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Muse Spark 1.1 and Pixtral-12B?

Key differences include context window (1.0M vs 128K), input pricing ($1.25 vs $0.15/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark 1.1 and Pixtral-12B?

Muse Spark 1.1 is developed by Meta and Pixtral-12B is developed by Mistral AI.

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