Model Comparison
GPT-5.5 (xhigh)
vs. M2.1
Comparing 2 AI models · 10 benchmarks · OpenAI, MiniMax
Recommended Pick
Op GPT-5.5 (xhigh) 10 metric wins Strongest on: Reasoning, Intelligence, Coding
Best Value
M2.1
100.0 value score
62.0 reasoning / $0.52/1M
Lowest Price
M2.1
$0.30/1M input price
Best Reasoning
GPT-5.5 (xhigh)
66.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.5 (xhigh)
59.1 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
M2.1 has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
M2.1 is 16.7x cheaper on input tokens than GPT-5.5 (xhigh).
Speed gap
M2.1 generates about 3.6x as many tokens per second as GPT-5.5 (xhigh).
Reasoning gap
GPT-5.5 (xhigh) leads M2.1 by 4.0 points on reasoning.
Coding gap
GPT-5.5 (xhigh) leads M2.1 by 26.3 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-5.5 (xhigh)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
M2.1
MiniMax
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Op GPT-5.5 (xhigh) | Mi M2.1 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $5.00/1M | $0.30/1M |
| Output Cost | $30.00/1M | $1.20/1M |
| Blended (3:1) | $11.25/1M | $0.52/1M |
| Specifications | ||
| Organization | OpenAI | MiniMax |
| Release Date | Apr 23, 2026 | Dec 23, 2025 |
| Performance & Speed | ||
| Throughput | 61.4 tok/s | 224.1 tok/s |
| TTFT | 62483ms | 2637ms |
| Latency | 62483ms | 11561ms |
| Composite Indices | ||
| Value Score | 5.0 | 100.0 |
| Reasoning Score | 66.0 | 62.0 |
| Intelligence | 60.2 | 39.4 |
| Coding | 59.1 | 32.8 |
| Math | — | 82.7 |
| Standard Benchmarks | ||
| GPQA | 93.5% | 83.0% |
| MMLU Pro | — | 87.5% |
| HLE | 44.3% | 22.2% |
| LiveCodeBench | — | 81.0% |
| AIME 2025 | — | 82.7% |
| SciCode | 56.1% | 40.7% |
| LCR | 74.3% | 59.0% |
| IFBench | 75.9% | 69.9% |
| TAU-bench v2 | 93.9% | 85.4% |
| TerminalBench Hard | 60.6% | 28.8% |
Key Takeaways
M2.1 offers the best value at $0.30/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-5.5 (xhigh) has the strongest reasoning profile with a 66.0 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-5.5 (xhigh) reaches a 59.1 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-5.5 (xhigh)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
M2.1
- Cost-sensitive applications
- High-volume processing
