| Signal | GPT-4o Search Preview | Delta | MiniMax M2.1 |
|---|---|---|---|
Capabilities | 50 | -17 | |
Benchmarks | 74 | +4 | |
Pricing | 90 | -9 | |
Context window size | 81 | -3 | |
Recency | 61 | -39 | |
Output Capacity | 70 | -18 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
70.4
current score
GPT-4o Search Preview
right now
69.9
current score
OpenAI
MiniMax
MiniMax M2.1 saves you $673.50/month
That's $8082.00/year compared to GPT-4o Search Preview at your current usage level of 100K calls/month.
| Metric | GPT-4o Search Preview | MiniMax M2.1 | Winner |
|---|---|---|---|
| Overall Score | 70 | 70 | GPT-4o Search Preview |
| Rank | #90 | #92 | GPT-4o Search Preview |
| Quality Rank | #90 | #92 | GPT-4o Search Preview |
| Adoption Rank | #90 | #92 | GPT-4o Search Preview |
| Parameters | -- | -- | -- |
| Context Window | 128K | 197K | MiniMax M2.1 |
| Pricing | $2.50/$10.00/M | $0.29/$0.95/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | MiniMax M2.1 |
| Benchmarks | 74 | 70 | GPT-4o Search Preview |
| Pricing | 90 | 99 | MiniMax M2.1 |
| Context window size | 81 | 84 | MiniMax M2.1 |
| Recency | 61 | 100 | MiniMax M2.1 |
| Output Capacity | 70 | 88 | MiniMax M2.1 |
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 70/100 (rank #90), placing it in the top 69% of all 290 models tracked.
Scores 70/100 (rank #92), placing it in the top 69% of all 290 models tracked.
With only a 1-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 M2.1 offers 90% better value per quality point. At 1M tokens/day, you'd spend $18.60/month with MiniMax M2.1 vs $187.50/month with GPT-4o Search Preview - a $168.90 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 M2.1 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (197K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.95/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (70/100) correlates with better nuance, coherence, and style in long-form content
GPT-4o Search Preview and MiniMax M2.1 are extremely close in overall performance (only 0.5 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4o Search Preview
Marginally better benchmark scores; both are excellent
Best for Cost
MiniMax M2.1
90% lower pricing; better value at scale
Best for Reliability
GPT-4o Search Preview
Higher uptime and faster response speeds
Best for Prototyping
GPT-4o Search Preview
Stronger community support and better developer experience
Best for Production
GPT-4o Search Preview
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4o Search Preview | MiniMax M2.1 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
MiniMax
MiniMax M2.1 saves you $14.84/month
That's 90% cheaper than GPT-4o Search Preview 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 Search Preview | MiniMax M2.1 |
|---|---|---|
| Context Window | 128K | 197K |
| Max Output Tokens | 16,384 | 196,608 |
| Open Source | No | Yes |
| Created | Mar 12, 2025 | Dec 23, 2025 |