LLM Comparison
MiniMax M2.7 vs Muse Spark 1.1
Side-by-side specs, pricing & capabilities · Updated August 2026
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 45 60.3 | 63 22.7 |
| Family | MiniMax | Muse Spark |
| Status | Current | Current |
| Release Date | Mar 2026 | Jul 2026 |
| Context Window | 197K tokens | 1.0M tokens |
| Input Price | $0.30/M tokens | $1.25/M tokens |
| Output Price | $1.20/M tokens | $4.25/M tokens |
| Pricing Notes | Cache read: $0.0590/M tokens | Artificial Analysis reports Meta API pricing at $1.25 input, $4.25 output, and $0.15 cached input per 1M tokens for the xhigh variant. |
| Capabilities | textcode | reasoningtool-usecomputer-usecodingmultimodallong-contextstructured-output |
| Max Output | — | 131K tokens |
| API Identifier | minimax/minimax-m2.7 | muse-spark-1.1 |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.1 | — | 51artificial-analysis |
| View MiniMax M2.7 | View Muse Spark 1.1 | |
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| MiniMax M2.7Cheapest | $0.30 | $0.60 | $0.90 | — |
| Muse Spark 1.1 | $1.25 | $2.13 | $3.38 | +275% |
MiniMax
MiniMax M2.7
MiniMax M2.7 is a large language model from MiniMax. Supports up to 196,608 token context window. Available from $0.30/M input tokens.
Meta
Muse Spark 1.1
Muse Spark 1.1 is Meta's multimodal reasoning model for agentic coding, computer-use workflows, tool calling, and long-context tasks through the Meta Model API.
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