Model Comparison
M2.7
vs. Step3 VL 10B
Comparing 2 AI models · 7 benchmarks · MiniMax, StepFun
Recommended Pick
Mi M2.7 11 metric wins Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
Step3 VL 10B
$0.00/1M 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
Price gap
Step3 VL 10B is ∞x cheaper on input tokens than M2.7.
Reasoning gap
M2.7 leads Step3 VL 10B by 23.5 points on reasoning.
Coding gap
M2.7 leads Step3 VL 10B by 28.0 points on coding.
Top-pick rationale
M2.7 wins 11 measurable categories, including Throughput, Reasoning, Intelligence, Coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
M2.7
MiniMax
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Step3 VL 10B
StepFun
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Mi M2.7 | St Step3 VL 10B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.30/1M | $0.00/1M |
| Output Cost | $1.20/1M | $0.00/1M |
| Blended (3:1) | $0.52/1M | — |
| Specifications | ||
| Organization | MiniMax | StepFun |
| Release Date | Mar 18, 2026 | Jan 20, 2026 |
| Performance & Speed | ||
| Throughput | 67.5 tok/s | — |
| TTFT | 2962ms | — |
| Latency | 39416ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 55.0 | 31.6 |
| Intelligence | 49.6 | 15.5 |
| Coding | 41.9 | 13.9 |
| Standard Benchmarks | ||
| GPQA | 87.4% | 69.0% |
| HLE | 28.1% | 10.2% |
| SciCode | 47.0% | 31.1% |
| LCR | 68.7% | 0.0% |
| IFBench | 75.7% | 50.2% |
| TAU-bench v2 | 84.8% | 16.1% |
| TerminalBench Hard | 39.4% | 5.3% |
Key Takeaways
Step3 VL 10B offers the best value at $0.00/1M, 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
M2.7
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Step3 VL 10B
- Cost-sensitive applications
- High-volume processing
