MAI-Code-1.1-Flash vs Muse Spark Open
Muse Spark Open leads the LLM Stats Score 45.3 to 27.4. MAI-Code-1.1-Flash is 4.4x cheaper per token.
Microsoft · Meta · Updated for 2026
Which is better?
Muse Spark Open leads the overall LLM Stats Score 45.3 to 27.4, ranking #42 overall.
In the 1 individual benchmarks reported for both models, Muse Spark Open wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, MAI-Code-1.1-Flash is roughly 4.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark Open 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
- cost matters — it's about 4.4x cheaper per token
Choose Muse Spark Open
- overall performance matters — it scores 45.3 and ranks #42 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
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
2 reported for MAI-Code-1.1-Flash · 17 for Muse Spark Open
MAI-Code-1.1-Flash outperforms in 0 benchmarks, while Muse Spark Open is better at 1 benchmark (Terminal-Bench 2.1).
Muse Spark Open 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 6.3x cheaper than Muse Spark Open ($1.25/1M tokens).
For output processing, MAI-Code-1.1-Flash ($1.20/1M tokens) is 3.5x cheaper than Muse Spark Open ($4.25/1M tokens).
In conclusion, Muse Spark Open is more expensive than MAI-Code-1.1-Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Muse Spark Open has 678.0B more parameters than MAI-Code-1.1-Flash, making it 491.3% larger.
Context Window
Maximum input and output token capacity
Muse Spark Open accepts 1,048,576 input tokens compared to MAI-Code-1.1-Flash's 256,000 tokens. Only Muse Spark Open specifies output context (1,048,576 tokens).
Input capabilities
Documented input modalities across available providers
Both MAI-Code-1.1-Flash and Muse Spark Open support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MAI-Code-1.1-Flash
Muse Spark Open
License
Usage and distribution terms
MAI-Code-1.1-Flash is licensed under a proprietary license, while Muse Spark Open uses Muse Model License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Muse Model License
Open weights
Release Timeline
When each model was launched
MAI-Code-1.1-Flash was released on 2026-08-11, while Muse Spark Open was released on 2026-10-15.
Muse Spark Open is 2 months newer than MAI-Code-1.1-Flash.
Aug 11, 2026
2 months ago
Oct 15, 2026
4 days ago
2mo 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 Open is available from Together.
MAI-Code-1.1-Flash
Muse Spark Open
Outputs Comparison
Judge for yourself.
Run your own prompts against MAI-Code-1.1-Flash and Muse Spark Open side-by-side, then vote on the output you prefer.
FAQ
Common questions about MAI-Code-1.1-Flash vs Muse Spark Open.