MiniMax M3 vs Qwen3.6-27B: Specs & Benchmark Comparison
| Characteristic | MiniMax M3 | Qwen3.6-27B |
|---|---|---|
| Company | MiniMax | Alibaba |
| Release Date | June 1, 2026 | April 21, 2026 |
| Parameters | 428B | 28B |
| Multimodal | Yes | Yes |
| Context (input) | 1.0M | 262K |
| Context (output) | 131K | 66K |
| Input Price / 1M | $0.30 | $0.60 |
| Output Price / 1M | $1.20 | $3.60 |
| Average Score | 0.9 | 1.0 |
Verdict
MiniMax M3 leads in 3 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: MiniMax M3 — 0.9, Qwen3.6-27B — 1.0.
API Cost
MiniMax M3 is 2.8x cheaper: input $0.30/1M vs $0.60/1M tokens.
Context Window
MiniMax M3 supports a larger context: 1M vs 262K tokens.
Recency
MiniMax M3 is newer: released 6/1/2026 vs 4/21/2026.
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Frequently Asked Questions
Which is better for coding — MiniMax M3 or Qwen3.6-27B?
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 Qwen3.6-27B?
MiniMax M3 is cheaper for input: $0.30 per 1M tokens vs $0.60.
Which has a larger context window — MiniMax M3 or Qwen3.6-27B?
MiniMax M3 supports a larger context: 1,000,000 tokens vs 262,144.
The MiniMax M3 and Qwen3.6-27B 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 Qwen3.6-27B page. See also the complete list of AI model comparisons.