AI model comparison
Qwen3.8 27B vs MiMo-V2.5
Side by side comparison of Qwen3.8 27B and MiMo-V2.5 on pricing, benchmark scores, context window, and more.
Qwen3.8 27B is an open-weight dense vision-language model from Qwen.
- Input / 1M
- $0.15
- Output / 1M
- $1.88
- Context
- 1M
MiMo-V2.5 is a native omnimodal model by Xiaomi.
- Input / 1M
- $0.40
- Output / 1M
- $2
- Context
- 1.05M
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.8 27B
1.5x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
MiMo-V2.5
1.05M vs 1M tokens
Newer release
Qwen3.8 27B
Released August 14, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.8 27B20.1Coding index
Qwen3.8 27B68.1Agentic index
Qwen3.8 27B45.8Pricing
Qwen3.8 27B vs MiMo-V2.5 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.8 27B | |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.40 |
| Output tokensPer 1M tokens | $1.88 | $2 |
| Cached input (read)Per 1M tokens | $0.04 | $0.08 |
| Cache writePer 1M tokens | Not available | Not available |
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
Qwen3.8 27B$1.24Coding task
30K in, 4K out
Qwen3.8 27B$12$8.63 cachedLong document summary
150K in, 2K out
Qwen3.8 27B$26.25$9.38 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.8 27B | |
|---|---|---|
| Context window | 1M tokens | 1.05M tokens |
| Max output | 236K tokens | 66K tokens |
| Input types | Image, Text, Video | Audio, Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Extra high, Medium, Low, None | Not available |
| Default reasoning effort | Extra high | Not available |
| Release date | August 14, 2026 | April 22, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.8 27B | |
|---|---|---|
| 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.
Qwen3.8 27BView full model details- Qwen3.8 27B vs DeepSeek V4.1 Flash 1017
- Qwen3.8 27B vs Step 5 Preview
- Qwen3.8 27B vs GPT-6 Luna
- Qwen3.8 27B vs Hy4 preview
- Qwen3.8 27B vs Mistral Large 4
- Qwen3.8 27B vs DeepSeek V4 Pro 0813
- Qwen3.8 27B vs MiniMax M3
- Qwen3.8 27B vs Kimi K3
- Qwen3.8 27B vs Inkling Small
- Qwen3.8 27B vs Inkling
- Qwen3.8 27B vs Nemotron 3 Ultra
- Qwen3.8 27B vs Gemini 3.5 Flash Lite
- Qwen3.8 27B vs DeepSeek V4 Pro 0423
- Qwen3.8 27B vs Qwen3.6 35B A3B
Our take
Qwen3.8 27B is 1.5x 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 Qwen3.8 27B or MiMo-V2.5 cheaper?
Qwen3.8 27B is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.8 27B costs $0.15 per 1M input tokens and $1.88 per 1M output tokens, while MiMo-V2.5 costs $0.40 per 1M input tokens and $2 per 1M output tokens.
Which has a bigger context window, Qwen3.8 27B or MiMo-V2.5?
MiMo-V2.5 supports up to 1.05M tokens of context, compared with 1M for Qwen3.8 27B.
Can I use Qwen3.8 27B and MiMo-V2.5 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.8 27B and MiMo-V2.5 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.8 27B and MiMo-V2.5 at the same time. Compare the answers side by side and keep the best one.