Model Comparison

MiniMax M1 80K vs QwQ-32B-PreviewWhich is better in 2026?

MiniMax M1 80K significantly outperforms across most benchmarks. QwQ-32B-Preview is 5.9x cheaper per token.

Verdict: MiniMax M1 80K vs QwQ-32B-Preview — which is better?

MiniMax M1 80K (by MiniMax) and QwQ-32B-Preview (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.

MiniMax M1 80K outperforms in 4 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500), while QwQ-32B-Preview is better at 0 benchmarks. MiniMax M1 80K significantly outperforms across most benchmarks.

On price, QwQ-32B-Preview is roughly 5.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiniMax M1 80K also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose MiniMax M1 80K if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Jun 2025

Choose QwQ-32B-Preview if…

  • cost matters — it's about 5.9x cheaper per token
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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

MiniMax M1 80K outperforms in 4 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500), while QwQ-32B-Preview is better at 0 benchmarks.

MiniMax M1 80K significantly outperforms across most benchmarks.

Mon Jun 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

QwQ-32B-Preview costs less

For input processing, MiniMax M1 80K ($0.55/1M tokens) is 3.7x more expensive than QwQ-32B-Preview ($0.15/1M tokens).

For output processing, MiniMax M1 80K ($2.20/1M tokens) is 11.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).

In conclusion, MiniMax M1 80K is more expensive than QwQ-32B-Preview.*

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

Lowest available price from all providers
Mon Jun 15 2026 • llm-stats.com
MiniMax
MiniMax M1 80K
Input tokens$0.55
Output tokens$2.20
Best providerNovita
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input tokens$0.15
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

423.5B diff

MiniMax M1 80K has 423.5B more parameters than QwQ-32B-Preview, making it 1303.1% larger.

MiniMax
MiniMax M1 80K
456.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
456.0B
MiniMax M1 80K
32.5B
QwQ-32B-Preview

Context Window

Maximum input and output token capacity

MiniMax M1 80K accepts 1,000,000 input tokens compared to QwQ-32B-Preview's 32,768 tokens. MiniMax M1 80K can generate longer responses up to 40,000 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.

MiniMax
MiniMax M1 80K
Input1,000,000 tokens
Output40,000 tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Mon Jun 15 2026 • llm-stats.com

License

Usage and distribution terms

MiniMax M1 80K is licensed under MIT, while QwQ-32B-Preview uses Apache 2.0.

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

MiniMax M1 80K

MIT

Open weights

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniMax M1 80K was released on 2025-06-16, while QwQ-32B-Preview was released on 2024-11-28.

MiniMax M1 80K is 7 months newer than QwQ-32B-Preview.

MiniMax M1 80K

Jun 16, 2025

12 months ago

6mo newer
QwQ-32B-Preview

Nov 28, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while MiniMax M1 80K's cutoff date is not specified.

We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without MiniMax M1 80K's cutoff date.

MiniMax M1 80K

—

QwQ-32B-Preview

Nov 2024

Provider Availability

MiniMax M1 80K is available from Novita. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

MiniMax M1 80K

novita logo
Novita
Input Price:Input: $0.55/1MOutput Price:Output: $2.20/1M

QwQ-32B-Preview

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

MiniMax
Larger context window (1,000,000 tokens)
Higher AIME 2024 score (86.0% vs 50.0%)
Higher GPQA score (70.0% vs 65.2%)
Higher LiveCodeBench score (65.0% vs 50.0%)
Higher MATH-500 score (96.8% vs 90.6%)
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
MiniMax
MiniMax M1 80K
Alibaba Cloud / Qwen Team
QwQ-32B-Preview

FAQ

Common questions about MiniMax M1 80K vs QwQ-32B-Preview.

Which is better, MiniMax M1 80K or QwQ-32B-Preview?

MiniMax M1 80K significantly outperforms across most benchmarks. MiniMax M1 80K is made by MiniMax and QwQ-32B-Preview 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 MiniMax M1 80K compare to QwQ-32B-Preview in benchmarks?

MiniMax M1 80K scores MATH-500: 96.8%, ZebraLogic: 86.8%, AIME 2024: 86.0%, MMLU-Pro: 81.1%, AIME 2025: 76.9%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.

Is MiniMax M1 80K cheaper than QwQ-32B-Preview?

QwQ-32B-Preview is 3.7x cheaper for input tokens. MiniMax M1 80K costs $0.55/M input and $2.20/M output via novita. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.

What are the context window sizes for MiniMax M1 80K and QwQ-32B-Preview?

MiniMax M1 80K supports 1.0M tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiniMax M1 80K and QwQ-32B-Preview?

Key differences include context window (1.0M vs 33K), input pricing ($0.55 vs $0.15/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M1 80K and QwQ-32B-Preview?

MiniMax M1 80K is developed by MiniMax and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.

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