MiniMax M3 vs Muse Spark 1.1: Specs & Benchmark Comparison
| Characteristic | MiniMax M3 | Muse Spark 1.1 |
|---|---|---|
| Company | MiniMax | Meta |
| Release Date | June 1, 2026 | July 9, 2026 |
| Parameters | 428B | — |
| Multimodal | Yes | Yes |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 131K | 131K |
| Input Price / 1M | $0.30 | $1.25 |
| Output Price / 1M | $1.20 | $4.25 |
| Average Score | 0.9 | 0.8 |
Verdict
Both models show equal results — the choice depends on your specific use case.
Overall Performance
Both models show comparable average scores: MiniMax M3 — 0.9, Muse Spark 1.1 — 0.8.
API Cost
MiniMax M3 is 3.7x cheaper: input $0.30/1M vs $1.25/1M tokens.
Context Window
Same context size: 1M tokens.
Recency
Muse Spark 1.1 is newer: released 7/9/2026 vs 6/1/2026.
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Frequently Asked Questions
Which is better for coding — MiniMax M3 or Muse Spark 1.1?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — MiniMax M3 or Muse Spark 1.1?
MiniMax M3 is cheaper for input: $0.30 per 1M tokens vs $1.25.
Which has a larger context window — MiniMax M3 or Muse Spark 1.1?
MiniMax M3 supports a larger context: 1,000,000 tokens vs 1,000,000.
The MiniMax M3 and Muse Spark 1.1 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the MiniMax M3 or Muse Spark 1.1 page. See also the complete list of AI model comparisons.