| Signal | GPT-4o-mini | Delta | MiniMax M2-her |
|---|---|---|---|
Capabilities | 67 | +50 | |
Benchmarks | 76 | +4 | |
Pricing | 99 | +1 | |
Context window size | 73 | +4 | |
Recency | 9 | -91 | |
Output Capacity | 70 | +15 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
68.9
current score
GPT-4o-mini
right now
68.8
current score
OpenAI
MiniMax
GPT-4o-mini saves you $45.00/month
That's $540.00/year compared to MiniMax M2-her at your current usage level of 100K calls/month.
| Metric | GPT-4o-mini | MiniMax M2-her | Winner |
|---|---|---|---|
| Overall Score | 69 | 69 | GPT-4o-mini |
| Rank | #106 | #107 | GPT-4o-mini |
| Quality Rank | #106 | #107 | GPT-4o-mini |
| Adoption Rank | #106 | #107 | GPT-4o-mini |
| Parameters | -- | -- | -- |
| Context Window | 128K | 66K | GPT-4o-mini |
| Pricing | $0.15/$0.60/M | $0.30/$1.20/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 17 | GPT-4o-mini |
| Benchmarks | 76 | 72 | GPT-4o-mini |
| Pricing | 99 | 99 | GPT-4o-mini |
| Context window size | 73 | 69 | GPT-4o-mini |
| Recency | 9 | 100 | MiniMax M2-her |
| Output Capacity | 70 | 55 | GPT-4o-mini |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 69/100 (rank #106), placing it in the top 64% of all 290 models tracked.
Scores 69/100 (rank #107), placing it in the top 63% 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.
GPT-4o-mini offers 50% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with GPT-4o-mini vs $22.50/month with MiniMax M2-her - a $11.25 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. GPT-4o-mini also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (128K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (69/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
GPT-4o-mini and MiniMax M2-her are extremely close in overall performance (only 0.10000000000000853 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4o-mini
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-4o-mini
50% lower pricing; better value at scale
Best for Reliability
GPT-4o-mini
Higher uptime and faster response speeds
Best for Prototyping
GPT-4o-mini
Stronger community support and better developer experience
Best for Production
GPT-4o-mini
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4o-mini | MiniMax M2-her |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
MiniMax
GPT-4o-mini saves you $0.9900/month
That's 50% 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 | GPT-4o-mini | MiniMax M2-her |
|---|---|---|
| Context Window | 128K | 66K |
| Max Output Tokens | 16,384 | 2,048 |
| Open Source | No | No |
| Created | Jul 18, 2024 | Jan 23, 2026 |