Model Comparison

MiMo-V2-Flash vs Qwen3 MaxWhich is better in 2026?

MiMo-V2-Flash significantly outperforms across most benchmarks. MiMo-V2-Flash is 10.8x cheaper per token.

Verdict: MiMo-V2-Flash vs Qwen3 Max — which is better?

MiMo-V2-Flash (by Xiaomi) and Qwen3 Max (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

MiMo-V2-Flash outperforms in 4 benchmarks (AIME 2025, GPQA, LiveCodeBench v6, SWE-Bench Verified), while Qwen3 Max is better at 0 benchmarks. MiMo-V2-Flash significantly outperforms across most benchmarks.

On price, MiMo-V2-Flash is roughly 10.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose MiMo-V2-Flash if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
  • cost matters — it's about 10.8x cheaper per token
  • you want the most recent training data — it shipped Dec 2025
  • you need open weights you can self-host or fine-tune

Choose Qwen3 Max if…

  • you want predictable pricing at $0.50/M input and $5.00/M output

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

MiMo-V2-Flash outperforms in 4 benchmarks (AIME 2025, GPQA, LiveCodeBench v6, SWE-Bench Verified), while Qwen3 Max is better at 0 benchmarks.

MiMo-V2-Flash significantly outperforms across most benchmarks.

Mon Jul 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2-Flash costs less

For input processing, MiMo-V2-Flash ($0.10/1M tokens) is 5.0x cheaper than Qwen3 Max ($0.50/1M tokens).

For output processing, MiMo-V2-Flash ($0.30/1M tokens) is 16.7x cheaper than Qwen3 Max ($5.00/1M tokens).

In conclusion, Qwen3 Max is more expensive than MiMo-V2-Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Jul 13 2026 • llm-stats.com
Xiaomi
MiMo-V2-Flash
Input tokens$0.10
Output tokens$0.30
Best providerXiaomi
Alibaba Cloud / Qwen Team
Qwen3 Max
Input tokens$0.50
Output tokens$5.00
Best providerNovita
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

691.0B diff

Qwen3 Max has 691.0B more parameters than MiMo-V2-Flash, making it 223.6% larger.

Xiaomi
MiMo-V2-Flash
309.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 Max
1.0Tparameters
309.0B
MiMo-V2-Flash
1000.0B
Qwen3 Max

Context Window

Maximum input and output token capacity

Both models have the same input context window of 256,000 tokens. Qwen3 Max can generate longer responses up to 131,072 tokens, while MiMo-V2-Flash is limited to 16,384 tokens.

Xiaomi
MiMo-V2-Flash
Input256,000 tokens
Output16,384 tokens
Alibaba Cloud / Qwen Team
Qwen3 Max
Input256,000 tokens
Output131,072 tokens
Mon Jul 13 2026 • llm-stats.com

License

Usage and distribution terms

MiMo-V2-Flash is licensed under MIT, while Qwen3 Max uses a proprietary license.

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

MiMo-V2-Flash

MIT

Open weights

Qwen3 Max

Proprietary

Closed source

Release Timeline

When each model was launched

MiMo-V2-Flash was released on 2025-12-16, while Qwen3 Max was released on 2025-12-15.

MiMo-V2-Flash is 0 month newer than Qwen3 Max.

MiMo-V2-Flash

Dec 16, 2025

6 months ago

1d newer
Qwen3 Max

Dec 15, 2025

7 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

Provider Availability

MiMo-V2-Flash is available from Xiaomi. Qwen3 Max is available from Novita.

MiMo-V2-Flash

xiaomi logo
Xiaomi
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

Qwen3 Max

novita logo
Novita
Input Price:Input: $0.50/1MOutput Price:Output: $5.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive input tokens
Less expensive output tokens
Has open weights
Higher AIME 2025 score (94.1% vs 81.6%)
Higher GPQA score (83.7% vs 62.0%)
Higher LiveCodeBench v6 score (80.6% vs 69.0%)
Higher SWE-Bench Verified score (73.4% vs 69.6%)
Alibaba Cloud / Qwen Team

Qwen3 Max

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against MiMo-V2-Flash and Qwen3 Max side-by-side, then vote on the output you prefer.

MiMo-V2-Flash
✓ Preferred
Qwen3 Max
Open in Playground
AI Model Comparison Table
Feature
Xiaomi
MiMo-V2-Flash
Alibaba Cloud / Qwen Team
Qwen3 Max

FAQ

Common questions about MiMo-V2-Flash vs Qwen3 Max.

Which is better, MiMo-V2-Flash or Qwen3 Max?

MiMo-V2-Flash significantly outperforms across most benchmarks. MiMo-V2-Flash is made by Xiaomi and Qwen3 Max is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does MiMo-V2-Flash compare to Qwen3 Max 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%. Qwen3 Max scores AIME 2025: 81.6%, t2-bench: 74.8%, SWE-Bench Verified: 69.6%, LiveCodeBench v6: 69.0%, SuperGPQA: 65.1%.

Is MiMo-V2-Flash cheaper than Qwen3 Max?

MiMo-V2-Flash is 5.0x cheaper for input tokens. MiMo-V2-Flash costs $0.10/M input and $0.30/M output via xiaomi. Qwen3 Max costs $0.50/M input and $5.00/M output via novita.

What are the context window sizes for MiMo-V2-Flash and Qwen3 Max?

MiMo-V2-Flash supports 256K tokens and Qwen3 Max supports 256K 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 Max?

Key differences include input pricing ($0.10 vs $0.50/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2-Flash and Qwen3 Max?

MiMo-V2-Flash is developed by Xiaomi and Qwen3 Max is developed by Alibaba Cloud / Qwen Team.