Mimo V2.6 Flash vs Qwen3 Next 80B A3B Instruct
As of November 12, 2026, Qwen3 Next 80B A3B Instruct costs 7% more per input token than Mimo V2.6 Flash ($0.15 vs $0.14 per 1M) and has a 256K-token context window versus 1M.
Mimo V2.6 Flash vs Qwen3 Next 80B A3B Instruct side by side
| Mimo V2.6 Flash | Qwen3 Next 80B A3B Instruct | |
|---|---|---|
| Input, per 1M tokens | $0.14 | $0.15 |
| Output, per 1M tokens | $0.28 | $1.20 |
| Cache read, per 1M tokens | $0.0028 | – |
| Cache write, per 1M tokens | – | – |
| Context window | 1,048,576 tokens | 262,144 tokens |
| Max output | 131,072 tokens | 65,536 tokens |
| Image input | Yes | – |
| Tool calling | Yes | Yes |
| Structured output (JSON) | Yes | Yes |
| Prompt caching | Yes | – |
| Reasoning | Yes | Yes |
| Providers on LiteLLM | 6 | 11 |
| Price shown is from | Xiaomi MiMo | Alibaba Cloud Model Studio |
| Added to LiteLLM | September 21, 2026 | September 2025 |
Cheapest provider for each
- Mimo V2.6 Flash: GMI Cloud at $0.112 input and $0.224 output per 1M tokens (
gmi/XiaomiMiMo/MiMo-V2.6-Flash) - Qwen3 Next 80B A3B Instruct: DeepInfra at $0.09 input and $1.10 output per 1M tokens (
deepinfra/Qwen/Qwen3-Next-80B-A3B-Instruct)
When to pick which
Pick Mimo V2.6 Flash for
- Costs 7% less per input token: $0.14 vs $0.15 per 1M.
- Larger context window: 1,048,576 vs 262,144 tokens.
From differences in the data above only; where the data is equal, no reason is given.
Call Mimo V2.6 Flash or Qwen3 Next 80B A3B Instruct with LiteLLM
Both use the OpenAI format through LiteLLM, so switching is a model name change. Set each provider's API key in the environment first.
from litellm import completion
messages = [{"role": "user", "content": "Hello!"}]
# Mimo V2.6 Flash
response = completion(model="xiaomi_mimo/mimo-v2.6-flash", messages=messages)
# Qwen3 Next 80B A3B Instruct
response = completion(model="dashscope/qwen3-next-80b-a3b-instruct", messages=messages)
# Mimo V2.6 Flash, falling back to Qwen3 Next 80B A3B Instruct if the call fails
response = completion(model="xiaomi_mimo/mimo-v2.6-flash", messages=messages, fallbacks=["dashscope/qwen3-next-80b-a3b-instruct"])FAQ
Which is cheaper, Mimo V2.6 Flash or Qwen3 Next 80B A3B Instruct?
Mimo V2.6 Flash is cheaper at 3 input tokens per output token: $0.175 per 1M tokens blended ($0.14 input, $0.28 output), versus $0.4125 ($0.15 and $1.20) for Qwen3 Next 80B A3B Instruct, as of November 12, 2026.
Which has the larger context window, Mimo V2.6 Flash or Qwen3 Next 80B A3B Instruct?
Mimo V2.6 Flash has the larger context window: 1,048,576 tokens, versus 262,144 for Qwen3 Next 80B A3B Instruct.
Can I switch from Mimo V2.6 Flash to Qwen3 Next 80B A3B Instruct without changing my code?
Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "xiaomi_mimo/mimo-v2.6-flash" to "dashscope/qwen3-next-80b-a3b-instruct", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.