| Signal | MiniMax M2-her | Delta | Phi 4 |
|---|---|---|---|
Capabilities | 17 | -17 | |
Pricing | 1 | +1 | |
Context window size | 76 | +10 | |
Recency | 100 | +48 | |
Output Capacity | 55 | -15 | |
Benchmarks | 0 | -67 | |
| Overall Result | 3 wins | of 6 | 3 wins |
8
days higher
2
days
20
days higher
MiniMax
Microsoft
Phi 4 saves you $76.50/month
That's $918.00/year compared to MiniMax M2-her at your current usage level of 100K calls/month.
| Metric | MiniMax M2-her | Phi 4 | Winner |
|---|---|---|---|
| Overall Score | 59 | 59 | MiniMax M2-her |
| Rank | #231 | #233 | MiniMax M2-her |
| Quality Rank | #231 | #233 | MiniMax M2-her |
| Adoption Rank | #231 | #233 | MiniMax M2-her |
| Parameters | -- | -- | -- |
| Context Window | 66K | 16K | MiniMax M2-her |
| Pricing | $0.30/$1.20/M | $0.07/$0.14/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 33 | Phi 4 |
| Pricing | 1 | 0 | MiniMax M2-her |
| Context window size | 76 | 67 | MiniMax M2-her |
| Recency | 100 | 52 | MiniMax M2-her |
| Output Capacity | 55 | 70 | Phi 4 |
| Benchmarks | -- | 68 | Phi 4 |
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 59/100 (rank #231), placing it in the top 21% of all 290 models tracked.
Scores 59/100 (rank #233), placing it in the top 20% 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.
Phi 4 offers 86% better value per quality point. At 1M tokens/day, you'd spend $3.08/month with Phi 4 vs $22.50/month with MiniMax M2-her - a $19.43 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. Phi 4 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (66K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.14/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (59/100) correlates with better nuance, coherence, and style in long-form content
MiniMax M2-her and Phi 4 are extremely close in overall performance (only 0.10000000000000142 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
MiniMax M2-her
Marginally better benchmark scores; both are excellent
Best for Cost
Phi 4
86% lower pricing; better value at scale
Best for Reliability
MiniMax M2-her
Higher uptime and faster response speeds
Best for Prototyping
MiniMax M2-her
Stronger community support and better developer experience
Best for Production
MiniMax M2-her
Wider enterprise adoption and proven at scale
by MiniMax
| Capability | MiniMax M2-her | Phi 4 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
MiniMax
Microsoft
Phi 4 saves you $1.69/month
That's 86% cheaper than MiniMax M2-her 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 M2-her | Phi 4 |
|---|---|---|
| Context Window | 66K | 16K |
| Max Output Tokens | 2,048 | 16,384 |
| Open Source | No | Yes |
| Created | Jan 23, 2026 | Jan 10, 2025 |
MiniMax M2-her scores 59/100 (rank #231) compared to Phi 4's 59/100 (rank #233), giving it a 0-point advantage. MiniMax M2-her is the stronger overall choice, though Phi 4 may excel in specific areas like cost efficiency.
MiniMax M2-her is ranked #231 and Phi 4 is ranked #233 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.
Phi 4 is cheaper at $0.14/M output tokens vs MiniMax M2-her's $1.20/M output tokens - 8.6x more expensive. Input token pricing: MiniMax M2-her at $0.30/M vs Phi 4 at $0.07/M.
MiniMax M2-her has a larger context window of 65,536 tokens compared to Phi 4's 16,384 tokens. A larger context window means the model can process longer documents and conversations.