AI model comparison
Qwen3.7 Plus vs MiMo-V2.5
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Qwen
Qwen3.7 Plus
Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series.
- Input / 1M
- $0.32
- Output / 1M
- $1.28
- Context
- 1M
Xiaomi
MiMo-V2.5
MiMo-V2.5 is a native omnimodal model by Xiaomi.
- Input / 1M
- $0.14
- Output / 1M
- $0.28
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
MiMo-V2.5
3.0x cheaper for a typical chat
Higher intelligence score
Tie
25.2 vs 25.2 on Artificial Analysis
Larger context window
MiMo-V2.5
1.05M vs 1M tokens
Newer release
Qwen3.7 Plus
Released June 3, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.7 Plus25.2Coding index
Qwen3.7 Plus55.9Agentic index
Qwen3.7 Plus17.5Pricing
Qwen3.7 Plus vs MiMo-V2.5 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.7 Plus | |
|---|---|---|
| Input tokensPer 1M tokens | $0.32 | $0.14 |
| Output tokensPer 1M tokens | $1.28 | $0.28 |
| Cached input (read)Per 1M tokens | $0.06 | $0.00 |
| Cache writePer 1M tokens | $0.40 | Not available |
| Long-context pricingPer 1M tokens, for very long prompts | $0.96 in / $3.84 out above 256K | Same rate at any length |
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
Qwen3.7 Plus$1.28Coding task
30K in, 4K out
Qwen3.7 Plus$14.72$7.04 cachedLong document summary
150K in, 2K out
Qwen3.7 Plus$50.56$12.16 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.7 Plus | |
|---|---|---|
| Context window | 1M tokens | 1.05M tokens |
| Max output | 131K tokens | 131K tokens |
| Input types | Image, Text | Audio, Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | June 3, 2026 | April 22, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.7 Plus | |
|---|---|---|
| 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 |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Qwen3.7 PlusView full model details- Qwen3.7 Plus vs DeepSeek V4 Flash 0423
- Qwen3.7 Plus vs Hy3
- Qwen3.7 Plus vs MiniMax M3
- Qwen3.7 Plus vs Gemini 3 Flash Preview
- Qwen3.7 Plus vs Qwen3.6 Plus
- Qwen3.7 Plus vs MiMo-V2.5-Pro
- Qwen3.7 Plus vs Grok 4.20
- Qwen3.7 Plus vs Inkling Small
- Qwen3.7 Plus vs Grok 4.3
- Qwen3.7 Plus vs Qwen3.5-27B
- Qwen3.7 Plus vs MiniMax M2.7
- Qwen3.7 Plus vs MiniMax M2.5
- MiMo-V2.5 vs MiMo-V2.6-Flash
- MiMo-V2.5 vs DeepSeek V4 Flash 0423
- MiMo-V2.5 vs Hy3
- MiMo-V2.5 vs Muse Spark 1.3 Contributor
- MiMo-V2.5 vs Solar Mini 4
- MiMo-V2.5 vs DeepSeek V4 Pro 0423
- MiMo-V2.5 vs Solar Pro 4
- MiMo-V2.5 vs DeepSeek V3.2
- MiMo-V2.5 vs MiMo-V2.5-Pro
- MiMo-V2.5 vs Ling 3.0 Flash
- MiMo-V2.5 vs Ling 3.0 Flash VL
- MiMo-V2.5 vs Ling 3.0 Flash Fin
Our take
MiMo-V2.5 is 3.0x cheaper for a typical chat. MiMo-V2.5 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 Qwen3.7 Plus or MiMo-V2.5 cheaper?
MiMo-V2.5 is cheaper for a typical chat (2K input tokens and 500 output tokens). MiMo-V2.5 costs $0.14 per 1M input tokens and $0.28 per 1M output tokens, while Qwen3.7 Plus costs $0.32 per 1M input tokens and $1.28 per 1M output tokens.
Which has a bigger context window, Qwen3.7 Plus or MiMo-V2.5?
MiMo-V2.5 supports up to 1.05M tokens of context, compared with 1M for Qwen3.7 Plus.
Is Qwen3.7 Plus smarter than MiMo-V2.5?
On the Artificial Analysis Intelligence Index, Qwen3.7 Plus scores 25.2 and MiMo-V2.5 scores 25.2, putting Qwen3.7 Plus ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3.7 Plus and MiMo-V2.5 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.7 Plus and MiMo-V2.5 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.7 Plus and MiMo-V2.5 at the same time. Compare the answers side by side and keep the best one.