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MiMo-V2-Flash vs Qwen3-Next-80B-A3B-Base

Comparing MiMo-V2-Flash and Qwen3-Next-80B-A3B-Base across benchmarks, pricing, and capabilities.

Xiaomi · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

MiMo-V2-Flash and Qwen3-Next-80B-A3B-Base trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose MiMo-V2-Flash

  • you want the most recent training data — it shipped Dec 2025

Choose Qwen3-Next-80B-A3B-Base

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.10 / M
— / M
Output price
$0.30 / M
— / M
Context window
256,000

Individual benchmarks

15 reported for MiMo-V2-Flash · 0 for Qwen3-Next-80B-A3B-Base

No common benchmarks found

MiMo-V2-Flash and Qwen3-Next-80B-A3B-Basedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

229.0B diff

MiMo-V2-Flash has 229.0B more parameters than Qwen3-Next-80B-A3B-Base, making it 286.3% larger.

Xiaomi
MiMo-V2-Flash
309.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
80.0Bparameters
309.0B
MiMo-V2-Flash
80.0B
Qwen3-Next-80B-A3B-Base

Context Window

Maximum input and output token capacity

Only MiMo-V2-Flash specifies input context (256,000 tokens). Only MiMo-V2-Flash specifies output context (16,384 tokens).

Xiaomi
MiMo-V2-Flash
Input256,000 tokens
Output16,384 tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
Input- tokens
Output- tokens
Tue Sep 08 2026 • llm-stats.com

License

Usage and distribution terms

MiMo-V2-Flash is licensed under MIT, while Qwen3-Next-80B-A3B-Base uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

MiMo-V2-Flash

MIT

Open weights

Qwen3-Next-80B-A3B-Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiMo-V2-Flash was released on 2025-12-16, while Qwen3-Next-80B-A3B-Base was released on 2025-09-10.

MiMo-V2-Flash is 3 months newer than Qwen3-Next-80B-A3B-Base.

MiMo-V2-Flash

Dec 16, 2025

8 months ago

3mo newer
Qwen3-Next-80B-A3B-Base

Sep 10, 2025

12 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against MiMo-V2-Flash and Qwen3-Next-80B-A3B-Base side-by-side, then vote on the output you prefer.

MiMo-V2-Flash
✓ Preferred
Qwen3-Next-80B-A3B-Base
Open in Playground

FAQ

Common questions about MiMo-V2-Flash vs Qwen3-Next-80B-A3B-Base.

Which is better, MiMo-V2-Flash or Qwen3-Next-80B-A3B-Base?

MiMo-V2-Flash (Xiaomi) and Qwen3-Next-80B-A3B-Base (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does MiMo-V2-Flash compare to Qwen3-Next-80B-A3B-Base in benchmarks?

MiMo-V2-Flash scores AIME 2025: 94.1%, Arena-Hard v2: 86.2%, MMLU-Pro: 84.9%, HMMT 2025: 84.4%, GPQA: 83.7%.

What are the context window sizes for MiMo-V2-Flash and Qwen3-Next-80B-A3B-Base?

MiMo-V2-Flash supports 256K tokens and Qwen3-Next-80B-A3B-Base supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiMo-V2-Flash and Qwen3-Next-80B-A3B-Base?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2-Flash and Qwen3-Next-80B-A3B-Base?

MiMo-V2-Flash is developed by Xiaomi and Qwen3-Next-80B-A3B-Base is developed by Alibaba Cloud / Qwen Team.