MAI-Code-1.1-Flash vs Muse Spark 1.3
Muse Spark 1.3 leads the LLM Stats Score 55.3 to 28.3. Muse Spark 1.3 is 3.6x cheaper per token.
Microsoft · Meta · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 55.3 to 28.3, ranking #5 overall.
In the 1 individual benchmarks reported for both models, Muse Spark 1.3 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Muse Spark 1.3 is roughly 3.6x 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 MAI-Code-1.1-Flash
- you want predictable pricing at $0.20/M input and $1.20/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
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 3.6x 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
2 reported for MAI-Code-1.1-Flash · 11 for Muse Spark 1.3
MAI-Code-1.1-Flash outperforms in 0 benchmarks, while Muse Spark 1.3 is better at 1 benchmark (Terminal-Bench 2.1).
Muse Spark 1.3 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, MAI-Code-1.1-Flash ($0.20/1M tokens) is 2.0x more expensive than Muse Spark 1.3 ($0.10/1M tokens).
For output processing, MAI-Code-1.1-Flash ($1.20/1M tokens) is 6.0x more expensive than Muse Spark 1.3 ($0.20/1M tokens).
In conclusion, MAI-Code-1.1-Flash 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 MAI-Code-1.1-Flash's 256,000 tokens. Only Muse Spark 1.3 specifies output context (943,718 tokens).
Input capabilities
Documented input modalities across available providers
Both MAI-Code-1.1-Flash and Muse Spark 1.3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MAI-Code-1.1-Flash
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
MAI-Code-1.1-Flash was released on 2026-08-11, while Muse Spark 1.3 was released on 2026-09-02.
Muse Spark 1.3 is 1 month newer than MAI-Code-1.1-Flash.
Aug 11, 2026
3 weeks ago
Sep 2, 2026
2 days ago
3w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
MAI-Code-1.1-Flash is available from GitHub Copilot. Muse Spark 1.3 is available from Meta Model API.
MAI-Code-1.1-Flash
Muse Spark 1.3
Outputs Comparison
Judge for yourself.
Run your own prompts against MAI-Code-1.1-Flash and Muse Spark 1.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about MAI-Code-1.1-Flash vs Muse Spark 1.3.