Model Comparison
Grok 4.3 (low)
vs. M2.7
Comparing 2 AI models · 7 benchmarks · xAI, MiniMax
Recommended Pick
Mi M2.7 13 metric wins Strongest on: Value, Input price, Output price
Best Value
M2.7
100.0 value score
55.0 reasoning / $0.52/1M
Lowest Price
M2.7
$0.30/1M input price
Best Reasoning
M2.7
55.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
M2.7
41.9 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
M2.7 has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
M2.7 is 4.2x cheaper on input tokens than Grok 4.3 (low).
Speed gap
Grok 4.3 (low) generates about 3.0x as many tokens per second as M2.7.
Reasoning gap
M2.7 leads Grok 4.3 (low) by 6.5 points on reasoning.
Coding gap
M2.7 leads Grok 4.3 (low) by 10.3 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Grok 4.3 (low)
xAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
M2.7
MiniMax
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | xA Grok 4.3 (low) | Top Pick Mi M2.7 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.25/1M | $0.30/1M |
| Output Cost | $2.50/1M | $1.20/1M |
| Blended (3:1) | $1.56/1M | $0.52/1M |
| Specifications | ||
| Organization | xAI | MiniMax |
| Release Date | Apr 30, 2026 | Mar 18, 2026 |
| Performance & Speed | ||
| Throughput | 152.8 tok/s | 50.7 tok/s |
| TTFT | 6463ms | 1520ms |
| Latency | 6463ms | 50050ms |
| Composite Indices | ||
| Value Score | 29.6 | 100.0 |
| Reasoning Score | 48.5 | 55.0 |
| Intelligence | 43.9 | 49.6 |
| Coding | 31.6 | 41.9 |
| Standard Benchmarks | ||
| GPQA | 84.3% | 87.4% |
| HLE | 17.3% | 28.1% |
| SciCode | 41.9% | 47.0% |
| LCR | 64.0% | 68.7% |
| IFBench | 81.0% | 75.7% |
| TAU-bench v2 | 88.9% | 84.8% |
| TerminalBench Hard | 26.5% | 39.4% |
Key Takeaways
M2.7 offers the best value at $0.30/1M, making it ideal for high-volume applications and cost-conscious projects.
M2.7 has the strongest reasoning profile with a 55.0 reasoning score, combining the available reasoning-heavy benchmarks.
M2.7 reaches a 41.9 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
Grok 4.3 (low)
- General-purpose AI
- Versatile applications
M2.7
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
