| Signal | MiniMax M1 | Delta | R1 |
|---|---|---|---|
Capabilities | 50 | -- | |
Benchmarks | 62 | -15 | |
Pricing | 2 | 0 | |
Context window size | 95 | +19 | |
Recency | 81 | +27 | |
Output Capacity | 77 | +7 | |
| Overall Result | 3 wins | of 6 | 2 wins |
11
days higher
2
days
17
days higher
MiniMax
DeepSeek
MiniMax M1 saves you $45.00/month
That's $540.00/year compared to R1 at your current usage level of 100K calls/month.
| Metric | MiniMax M1 | R1 | Winner |
|---|---|---|---|
| Overall Score | 68 | 68 | MiniMax M1 |
| Rank | #175 | #176 | MiniMax M1 |
| Quality Rank | #175 | #176 | MiniMax M1 |
| Adoption Rank | #175 | #176 | MiniMax M1 |
| Parameters | -- | -- | -- |
| Context Window | 1000K | 64K | MiniMax M1 |
| Pricing | $0.40/$2.20/M | $0.70/$2.50/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | MiniMax M1 |
| Benchmarks | 62 | 77 | R1 |
| Pricing | 2 | 3 | R1 |
| Context window size | 95 | 76 | MiniMax M1 |
| Recency | 81 | 54 | MiniMax M1 |
| Output Capacity | 77 | 70 | MiniMax M1 |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 68/100 (rank #175), placing it in the top 40% of all 290 models tracked.
Scores 68/100 (rank #176), placing it in the top 40% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
MiniMax M1 offers 19% better value per quality point. At 1M tokens/day, you'd spend $39.00/month with MiniMax M1 vs $48.00/month with R1 - a $9.00 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. MiniMax M1 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.20/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (68/100) correlates with better nuance, coherence, and style in long-form content
MiniMax M1 and R1 are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
MiniMax M1
Marginally better benchmark scores; both are excellent
Best for Cost
MiniMax M1
19% lower pricing; better value at scale
Best for Reliability
MiniMax M1
Higher uptime and faster response speeds
Best for Prototyping
MiniMax M1
Stronger community support and better developer experience
Best for Production
MiniMax M1
Wider enterprise adoption and proven at scale
by MiniMax
| Capability | MiniMax M1 | R1 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
MiniMax
DeepSeek
MiniMax M1 saves you $0.9000/month
That's 21% cheaper than R1 at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | MiniMax M1 | R1 |
|---|---|---|
| Context Window | 1M | 64K |
| Max Output Tokens | 40,000 | 16,000 |
| Open Source | No | Yes |
| Created | Jun 17, 2025 | Jan 20, 2025 |
MiniMax M1 scores 68/100 (rank #175) compared to R1's 68/100 (rank #176), giving it a 0-point advantage. MiniMax M1 is the stronger overall choice, though R1 may excel in specific areas like certain benchmarks.
MiniMax M1 is ranked #175 and R1 is ranked #176 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
MiniMax M1 is cheaper at $2.20/M output tokens vs R1's $2.50/M output tokens - 1.1x more expensive. Input token pricing: MiniMax M1 at $0.40/M vs R1 at $0.70/M.
MiniMax M1 has a larger context window of 1,000,000 tokens compared to R1's 64,000 tokens. A larger context window means the model can process longer documents and conversations.