Model Comparison
GPT-4o (ChatGPT)
vs. M3
Comparing 2 AI models · 10 benchmarks · OpenAI, MiniMax
Recommended Pick
Mi M3 7 metric wins Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
GPT-4o (ChatGPT)
$0.00/1M input price
Best Reasoning
M3
61.6 reasoning score
Blends available reasoning benchmarks
Best for Coding
M3
43.4 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
GPT-4o (ChatGPT) is ∞x cheaper on input tokens than M3.
Reasoning gap
M3 leads GPT-4o (ChatGPT) by 29.8 points on reasoning.
Top-pick rationale
M3 wins 7 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-4o (ChatGPT)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
M3
MiniMax
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Op GPT-4o (ChatGPT) | Top Pick Mi M3 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.30/1M |
| Output Cost | $0.00/1M | $1.20/1M |
| Blended (3:1) | — | $0.52/1M |
| Specifications | ||
| Organization | OpenAI | MiniMax |
| Release Date | Feb 15, 2025 | Jun 1, 2026 |
| Performance & Speed | ||
| Throughput | — | 53.2 tok/s |
| TTFT | — | 1904ms |
| Latency | — | 39497ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 31.8 | 61.6 |
| Intelligence | 14.1 | 54.7 |
| Coding | — | 43.4 |
| Standard Benchmarks | ||
| GPQA | 51.1% | 92.9% |
| MMLU Pro | 77.3% | — |
| HLE | 3.7% | 37.1% |
| MATH 500 | 79.7% | — |
| AIME (Original) | 10.3% | — |
| SciCode | 33.4% | 45.4% |
| LCR | 53.0% | 74.0% |
| IFBench | — | 82.9% |
| TAU-bench v2 | — | 88.9% |
| TerminalBench Hard | — | 42.4% |
Key Takeaways
GPT-4o (ChatGPT) offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
M3 has the strongest reasoning profile with a 61.6 reasoning score, combining the available reasoning-heavy benchmarks.
M3 reaches a 43.4 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
GPT-4o (ChatGPT)
- Cost-sensitive applications
- High-volume processing
M3
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
