Model Comparison
GPT-5.4 Pro (xhigh)
vs. M3
Comparing 2 AI models · 7 benchmarks · OpenAI, MiniMax
Recommended Pick
Mi M3 4 metric wins Strongest on: Input price, Output price, Blended price
Lowest Price
M3
$0.30/1M input price
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
M3 is 100x cheaper on input tokens than GPT-5.4 Pro (xhigh).
Top-pick rationale
M3 wins 4 measurable categories, including Input price, Output price, Blended price, Throughput.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-5.4 Pro (xhigh)
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-5.4 Pro (xhigh) | Top Pick Mi M3 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $30.00/1M | $0.30/1M |
| Output Cost | $180.00/1M | $1.20/1M |
| Blended (3:1) | $67.50/1M | $0.52/1M |
| Specifications | ||
| Organization | OpenAI | MiniMax |
| Release Date | Mar 5, 2026 | Jun 1, 2026 |
| Performance & Speed | ||
| Throughput | — | 45.5 tok/s |
| TTFT | — | 2158ms |
| Latency | — | 46141ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | — | 61.6 |
| Intelligence | — | 54.7 |
| Coding | — | 43.4 |
| Standard Benchmarks | ||
| GPQA | — | 92.9% |
| HLE | — | 37.1% |
| SciCode | — | 45.4% |
| LCR | — | 74.0% |
| IFBench | — | 82.9% |
| TAU-bench v2 | — | 88.9% |
| TerminalBench Hard | — | 42.4% |
Key Takeaways
M3 offers the best value at $0.30/1M, making it ideal for high-volume applications and cost-conscious projects.
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-5.4 Pro (xhigh)
- General-purpose AI
- Versatile applications
M3
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
