Time to First Token · MiniMax-M3
1172ms
Time to First Token · Step 3.7 Flash
1662ms
MiniMax-M3 vs Step 3.7 Flash: The Ultimate Performance & Pricing Comparison
Deep dive into reasoning, benchmarks, and latency insights.
The Final Verdict in the MiniMax-M3 vs Step 3.7 Flash Showdown
The current catalog does not contain complete performance evidence for both models, so this page does not declare an overall winner. Use the available fields as comparison signals and validate the models on your own workload.
Model Snapshot
Key decision metrics at a glance.
MiniMax-M3Step 3.7 Flash
6.0
Reasoning6.0
6.0
Coding4.0
4.0
Multimodal3.0
6.0
Long Context4.0
$0.525
Blended Price / 1M tokens$0.438
—
P95 Latency—
104.413
Tokens per second120.093
Machine-readable comparison data
| Model | Metric | Value | Unit | Source / snapshot |
|---|---|---|---|---|
| MiniMax-M3 | Reasoning | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Step 3.7 Flash | Reasoning | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| MiniMax-M3 | Coding | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Step 3.7 Flash | Coding | 4.0 | benchmark or capability score | Artificial Analysis · current catalog |
| MiniMax-M3 | Multimodal | 4.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Step 3.7 Flash | Multimodal | 3.0 | benchmark or capability score | Artificial Analysis · current catalog |
| MiniMax-M3 | Long Context | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Step 3.7 Flash | Long Context | 4.0 | benchmark or capability score | Artificial Analysis · current catalog |
| MiniMax-M3 | Blended Price / 1M tokens | $0.525 | USD per 1M tokens | Artificial Analysis · current catalog |
| Step 3.7 Flash | Blended Price / 1M tokens | $0.438 | USD per 1M tokens | Artificial Analysis · current catalog |
| MiniMax-M3 | P95 Latency | — | milliseconds | Artificial Analysis · current catalog |
| Step 3.7 Flash | P95 Latency | — | milliseconds | Artificial Analysis · current catalog |
| MiniMax-M3 | Tokens per second | 104.413 | tokens per second | Artificial Analysis · current catalog |
| Step 3.7 Flash | Tokens per second | 120.093 | tokens per second | Artificial Analysis · current catalog |
Data provided by Artificial Analysis; live values use the current catalog.
Overall Capabilities
This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `MiniMax-M3` vs `Step 3.7 Flash`.
MiniMax-M3Step 3.7 Flash
Benchmark Breakdown
This grouped bar chart provides a side-by-side comparison for each benchmark metric.
58.639.6
ARTIFICIAL ANALYSIS CODING45.430.9
ARTIFICIAL ANALYSIS INTELLIGENCEMiniMax-M3Step 3.7 Flash
Speed & Latency
Lower time to first token is better; higher tokens per second is better.
Tokens per Second · MiniMax-M3
104.413
Tokens per Second · Step 3.7 Flash
120.093
The Economics of MiniMax-M3 vs Step 3.7 Flash
Pricing Breakdown
Compare input and output pricing in USD per 1M tokens.
$0.3$0.2
Input Pricing$1.2$1.15
Output PricingMiniMax-M3Step 3.7 Flash
Real-World Cost Scenario
Per run: 1M input tokens + 250k output tokensMiniMax-M3$0.6
Step 3.7 Flash$0.487
Step 3.7 Flash costs $0.112 less per run
Your Questions about the MiniMax-M3 vs Step 3.7 Flash Comparison
Is `MiniMax-M3` a direct replacement for `Step 3.7 Flash`?
The current MiniMax-M3 vs Step 3.7 Flash data does not establish a universal replacement. Compare the available metrics, then validate quality, latency, reliability, and cost on your own workload.
For coding, which is better in the `MiniMax-M3 vs Step 3.7 Flash` debate?
The benchmark data in our MiniMax-M3 vs Step 3.7 Flash comparison shows MiniMax-M3 has a clear advantage, scoring 58.6 on LiveCodeBench versus 39.6.
How was this `MiniMax-M3 vs Step 3.7 Flash` comparison conducted?
Our MiniMax-M3 vs Step 3.7 Flash comparison uses published benchmark, pricing, speed, and latency fields provided by Artificial Analysis. Missing values remain unavailable, and the result should be checked against your workload.