MiniMax M2 (free)vs Kimi Linear 48B A3B Instruct
MiniMax M2 (free)
vs Kimi Linear 48B A3B Instruct
Compare performance metrics, pricing, and capabilities of these AI models.
Key Differences
Context Length
Lower
MiniMax M2 (free): 205K (disadvantage)
Kimi Linear 48B A3B Instruct: 1.0M (advantage)
Cost Efficiency
Lower Cost
Prompt: vs $0.30M
Completion: vs $0.60M
Capabilities
MiniMax M2 (free)
Modality: text->text
Inputs: text
Kimi Linear 48B A3B Instruct
Modality: text->text
Inputs: text
M
MiniMax M2 (free)
minimax/minimax-m2:free
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated paramet...
Context Length205K
Prompt Price
ReleasedOctober 23, 2025
Supports:
text->textM
Kimi Linear 48B A3B Instruct
moonshotai/kimi-linear-48b-a3b-instruct
Kimi Linear is a hybrid linear attention architecture that outperforms traditional full attention methods across various contexts, including short, lo...
Context Length1.0M
Prompt Price$0.30M
ReleasedNovember 8, 2025
Supports:
text->textDetailed Comparison
| Feature | MiniMax M2 (free) | Kimi Linear 48B A3B Instruct |
|---|---|---|
| Context Length | 205K | 1.0M |
| Prompt Price | $0.30M | |
| Completion Price | $0.60M | |
| Modality | text->text | text->text |
| Release Date | October 23, 2025 | November 8, 2025 |
Analysis & Recommendations
Quick Summary
This comparison reveals key trade-offs between MiniMax M2 (free) and Kimi Linear 48B A3B Instruct. Kimi Linear 48B A3B Instruct offers a larger context window of 1.0M compared to MiniMax M2 (free)'s 205K, though Kimi Linear 48B A3B Instruct comes at a higher cost.
MiniMax M2 (free) Strengths
- •Competitive context size (205K)
- •More cost-effective per token
- •Specialized for text tasks
- •Proven and stable model
Kimi Linear 48B A3B Instruct Strengths
- •Larger context window (1.0M) for processing longer documents
- •Premium pricing for high-quality output
- •Specialized for text tasks
- •Latest generation model
When to Use Each Model
Choose MiniMax M2 (free) when:
- • You need competitive context capability for complex tasks
- • Cost efficiency is important in your use case
- • Working with text-based tasks that benefit from deep analysis
Choose Kimi Linear 48B A3B Instruct when:
- • You need the larger context window for long-form content
- • Cost efficiency is not the primary concern for your budget
- • Working with text-based tasks that require advanced processing
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