Devstral Medium vs Muse Spark 1.3
Muse Spark 1.3 leads the LLM Stats Score 55.3 to 13.9. Muse Spark 1.3 is 6.4x cheaper per token.
Mistral AI · Meta · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 55.3 to 13.9, ranking #5 overall.
On price, Muse Spark 1.3 is roughly 6.4x 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 Devstral Medium
- you want predictable pricing at $0.40/M input and $2.00/M output
Choose Muse Spark 1.3
- overall performance matters — it scores 55.3 and ranks #5 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 6.4x cheaper per token
- 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.
Individual benchmarks
1 reported for Devstral Medium · 11 for Muse Spark 1.3
Devstral Medium 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
For input processing, Devstral Medium ($0.40/1M tokens) is 4.0x more expensive than Muse Spark 1.3 ($0.10/1M tokens).
For output processing, Devstral Medium ($2.00/1M tokens) is 10.0x more expensive than Muse Spark 1.3 ($0.20/1M tokens).
In conclusion, Devstral Medium is more expensive than Muse Spark 1.3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.3 accepts 1,048,576 input tokens compared to Devstral Medium's 128,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Devstral Medium is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark 1.3 supports multimodal inputs, whereas Devstral Medium does not.
Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Devstral Medium
Muse Spark 1.3
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Devstral Medium was released on 2025-07-10, while Muse Spark 1.3 was released on 2026-09-02.
Muse Spark 1.3 is 14 months newer than Devstral Medium.
Jul 10, 2025
1.2 years ago
Sep 2, 2026
2 days ago
1.1yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Devstral Medium is available from Mistral AI. Muse Spark 1.3 is available from Meta Model API.
Devstral Medium
Muse Spark 1.3
Outputs Comparison
Judge for yourself.
Run your own prompts against Devstral Medium and Muse Spark 1.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Devstral Medium vs Muse Spark 1.3.