Model Comparison

Devstral Medium vs Muse Spark 1.1Which is better in 2026?

Comparing Devstral Medium and Muse Spark 1.1 across benchmarks, pricing, and capabilities.

Verdict: Devstral Medium vs Muse Spark 1.1 — which is better?

Devstral Medium (by Mistral AI) 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, Devstral Medium is roughly 2.5x 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 Devstral Medium if…

  • cost matters — it's about 2.5x cheaper per token

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

Devstral Medium 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

Devstral Medium costs less

For input processing, Devstral Medium ($0.40/1M tokens) is 3.1x cheaper than Muse Spark 1.1 ($1.25/1M tokens).

For output processing, Devstral Medium ($2.00/1M tokens) is 2.1x cheaper than Muse Spark 1.1 ($4.25/1M tokens).

In conclusion, Muse Spark 1.1 is more expensive than Devstral Medium.*

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

Lowest available price from all providers
Sun Jul 26 2026 • llm-stats.com
Mistral AI
Devstral Medium
Input tokens$0.40
Output tokens$2.00
Best providerMistral
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 Devstral Medium's 128,000 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while Devstral Medium is limited to 128,000 tokens.

Mistral AI
Devstral Medium
Input128,000 tokens
Output128,000 tokens
Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Sun Jul 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Muse Spark 1.1 supports multimodal inputs, whereas Devstral Medium does not.

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

Devstral Medium

Text
Images
Audio
Video

Muse Spark 1.1

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Devstral Medium

Proprietary

Closed source

Muse Spark 1.1

Proprietary

Closed source

Release Timeline

When each model was launched

Devstral Medium was released on 2025-07-10, while Muse Spark 1.1 was released on 2026-07-09.

Muse Spark 1.1 is 12 months newer than Devstral Medium.

Devstral Medium

Jul 10, 2025

1.0 years ago

Muse Spark 1.1

Jul 9, 2026

2 weeks ago

12mo 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

Devstral Medium is available from Mistral AI. Muse Spark 1.1 is available from Meta Model API.

Devstral Medium

mistral logo
Mistral
Input Price:Input: $0.40/1MOutput Price:Output: $2.00/1M

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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI
Less expensive input tokens
Less expensive output tokens
Meta
Larger context window (1,048,576 tokens)
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

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

Devstral Medium
✓ Preferred
Muse Spark 1.1
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Devstral Medium
Meta
Muse Spark 1.1

FAQ

Common questions about Devstral Medium vs Muse Spark 1.1.

Which is better, Devstral Medium or Muse Spark 1.1?

Devstral Medium (Mistral AI) 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 Devstral Medium compare to Muse Spark 1.1 in benchmarks?

Devstral Medium scores SWE-Bench Verified: 61.6%. 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 Devstral Medium cheaper than Muse Spark 1.1?

Devstral Medium is 3.1x cheaper for input tokens. Devstral Medium costs $0.40/M input and $2.00/M output via mistral. Muse Spark 1.1 costs $1.25/M input and $4.25/M output via meta.

What are the context window sizes for Devstral Medium and Muse Spark 1.1?

Devstral Medium supports 128K 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 Devstral Medium and Muse Spark 1.1?

Key differences include context window (128K vs 1.0M), input pricing ($0.40 vs $1.25/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Devstral Medium and Muse Spark 1.1?

Devstral Medium is developed by Mistral AI and Muse Spark 1.1 is developed by Meta.

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