AI model comparison
MiniMax M3 vs Qwen3.7 Max
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
MiniMax
MiniMax M3
MiniMax-M3 is a multimodal foundation model from MiniMax.
- Input / 1M
- $0.30
- Output / 1M
- $1.20
- Context
- 1.05M
Qwen
Qwen3.7 Max
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series.
- Input / 1M
- $1.48
- Output / 1M
- $4.43
- Context
- 1M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
MiniMax M3
4.3x cheaper for a typical chat
Higher intelligence score
Qwen3.7 Max
29.5 vs 29.2 on Artificial Analysis
Larger context window
MiniMax M3
1.05M vs 1M tokens
Newer release
MiniMax M3
Released May 31, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
MiniMax M3 vs Qwen3.7 Max API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.30 | $1.48 |
| Output tokensPer 1M tokens | $1.20 | $4.43 |
| Cached input (read)Per 1M tokens | $0.06 | $0.30 |
| Cache writePer 1M tokens | Not available | $1.84 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 1.05M tokens | 1M tokens |
| Max output | 512K tokens | 131K tokens |
| Input types | Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | May 31, 2026 | May 21, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Our take
MiniMax M3 is 4.3x cheaper for a typical chat. Qwen3.7 Max scores higher on the Artificial Analysis Intelligence Index (29.5 vs 29.2). MiniMax M3 has the larger context window (1.05M vs 1M tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is MiniMax M3 or Qwen3.7 Max cheaper?
MiniMax M3 is cheaper for a typical chat (2K input tokens and 500 output tokens). MiniMax M3 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens, while Qwen3.7 Max costs $1.48 per 1M input tokens and $4.43 per 1M output tokens.
Which has a bigger context window, MiniMax M3 or Qwen3.7 Max?
MiniMax M3 supports up to 1.05M tokens of context, compared with 1M for Qwen3.7 Max.
Is MiniMax M3 smarter than Qwen3.7 Max?
On the Artificial Analysis Intelligence Index, MiniMax M3 scores 29.2 and Qwen3.7 Max scores 29.5, putting Qwen3.7 Max ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use MiniMax M3 and Qwen3.7 Max at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see MiniMax M3 and Qwen3.7 Max answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to MiniMax M3 and Qwen3.7 Max at the same time. Compare the answers side by side and keep the best one.