Model Comparison
GPT-5.2 (xhigh)
vs. M3
Comparing 2 AI models · 10 benchmarks · OpenAI, MiniMax
Recommended Pick
Mi M3 10 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
M3
$0.00/1M input price
Best Reasoning
GPT-5.2 (xhigh)
75.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.2 (xhigh)
48.7 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 ∞x cheaper on input tokens than GPT-5.2 (xhigh).
Reasoning gap
GPT-5.2 (xhigh) leads M3 by 13.4 points on reasoning.
Coding gap
GPT-5.2 (xhigh) leads M3 by 5.3 points on coding.
Top-pick rationale
M3 wins 10 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-5.2 (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-5.2 (xhigh) | Top Pick Mi M3 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.75/1M | $0.00/1M |
| Output Cost | $14.00/1M | $0.00/1M |
| Blended (3:1) | $4.81/1M | — |
| Specifications | ||
| Organization | OpenAI | MiniMax |
| Release Date | Dec 11, 2025 | Jun 1, 2026 |
| Performance & Speed | ||
| Throughput | 71.0 tok/s | — |
| TTFT | 80448ms | — |
| Latency | 80448ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 75.0 | 61.6 |
| Intelligence | 51.3 | 54.7 |
| Coding | 48.7 | 43.4 |
| Math | 99.0 | — |
| Standard Benchmarks | ||
| GPQA | 90.3% | 92.9% |
| MMLU Pro | 87.4% | — |
| HLE | 35.4% | 37.1% |
| LiveCodeBench | 88.9% | — |
| AIME 2025 | 99.0% | — |
| SciCode | 52.1% | 45.4% |
| LCR | 72.7% | 74.0% |
| IFBench | 75.4% | 82.9% |
| TAU-bench v2 | 84.8% | 88.9% |
| TerminalBench Hard | 47.0% | 42.4% |
Key Takeaways
M3 offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-5.2 (xhigh) has the strongest reasoning profile with a 75.0 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-5.2 (xhigh) reaches a 48.7 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-5.2 (xhigh)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
M3
- Cost-sensitive applications
- High-volume processing
