Model Comparison
GPT-5.2 (Non-reasoning)
vs. M3
Comparing 2 AI models · 10 benchmarks · OpenAI, MiniMax
Recommended Pick
Mi M3 14 metric wins Strongest on: Value, Input price, Output price
Best Value
M3
100.0 value score
61.6 reasoning / $0.52/1M
Lowest Price
M3
$0.30/1M 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
Best value
M3 has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
M3 is 5.8x cheaper on input tokens than GPT-5.2 (Non-reasoning).
Speed gap
GPT-5.2 (Non-reasoning) generates about 1.3x as many tokens per second as M3.
Reasoning gap
M3 leads GPT-5.2 (Non-reasoning) by 18.7 points on reasoning.
Coding gap
M3 leads GPT-5.2 (Non-reasoning) by 8.7 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-5.2 (Non-reasoning)
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 (Non-reasoning) | Top Pick Mi M3 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.75/1M | $0.30/1M |
| Output Cost | $14.00/1M | $1.20/1M |
| Blended (3:1) | $4.81/1M | $0.52/1M |
| Specifications | ||
| Organization | OpenAI | MiniMax |
| Release Date | Dec 11, 2025 | Jun 1, 2026 |
| Performance & Speed | ||
| Throughput | 78.5 tok/s | 61.8 tok/s |
| TTFT | 700ms | 2216ms |
| Latency | 700ms | 34571ms |
| Composite Indices | ||
| Value Score | 7.6 | 100.0 |
| Reasoning Score | 42.8 | 61.6 |
| Intelligence | 33.6 | 54.7 |
| Coding | 34.7 | 43.4 |
| Math | 51.0 | — |
| Standard Benchmarks | ||
| GPQA | 71.2% | 92.9% |
| MMLU Pro | 81.4% | — |
| HLE | 7.3% | 37.1% |
| LiveCodeBench | 66.9% | — |
| AIME 2025 | 51.0% | — |
| SciCode | 40.4% | 45.4% |
| LCR | 38.0% | 74.0% |
| IFBench | 47.4% | 82.9% |
| TAU-bench v2 | 46.5% | 88.9% |
| TerminalBench Hard | 31.8% | 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 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-5.2 (Non-reasoning)
- General-purpose AI
- Versatile applications
M3
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
