Model Comparison

MiniMax M1 80K vs Qwen3 VL 4B Instruct

MiniMax M1 80K shows notably better performance in the majority of benchmarks. Qwen3 VL 4B Instruct is 4.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

MiniMax M1 80K outperforms in 2 benchmarks (AIME 2025, MMLU-Pro), while Qwen3 VL 4B Instruct is better at 1 benchmark (SimpleQA).

MiniMax M1 80K shows notably better performance in the majority of benchmarks.

Tue Jun 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 4B Instruct costs less

For input processing, MiniMax M1 80K ($0.55/1M tokens) is 5.5x more expensive than Qwen3 VL 4B Instruct ($0.10/1M tokens).

For output processing, MiniMax M1 80K ($2.20/1M tokens) is 3.7x more expensive than Qwen3 VL 4B Instruct ($0.60/1M tokens).

In conclusion, MiniMax M1 80K is more expensive than Qwen3 VL 4B Instruct.*

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

Lowest available price from all providers
Tue Jun 02 2026 • llm-stats.com
MiniMax
MiniMax M1 80K
Input tokens$0.55
Output tokens$2.20
Best providerNovita
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
Input tokens$0.10
Output tokens$0.60
Best providerDeepinfra
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Model Size

Parameter count comparison

452.0B diff

MiniMax M1 80K has 452.0B more parameters than Qwen3 VL 4B Instruct, making it 11300.0% larger.

MiniMax
MiniMax M1 80K
456.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
4.0Bparameters
456.0B
MiniMax M1 80K
4.0B
Qwen3 VL 4B Instruct

Context Window

Maximum input and output token capacity

MiniMax M1 80K accepts 1,000,000 input tokens compared to Qwen3 VL 4B Instruct's 262,144 tokens. Qwen3 VL 4B Instruct can generate longer responses up to 262,144 tokens, while MiniMax M1 80K is limited to 40,000 tokens.

MiniMax
MiniMax M1 80K
Input1,000,000 tokens
Output40,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
Input262,144 tokens
Output262,144 tokens
Tue Jun 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 4B Instruct supports multimodal inputs, whereas MiniMax M1 80K does not.

Qwen3 VL 4B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiniMax M1 80K

Text
Images
Audio
Video

Qwen3 VL 4B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

MiniMax M1 80K is licensed under MIT, while Qwen3 VL 4B Instruct 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

Qwen3 VL 4B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniMax M1 80K was released on 2025-06-16, while Qwen3 VL 4B Instruct was released on 2025-09-22.

Qwen3 VL 4B Instruct is 3 months newer than MiniMax M1 80K.

MiniMax M1 80K

Jun 16, 2025

11 months ago

Qwen3 VL 4B Instruct

Sep 22, 2025

8 months ago

3mo newer

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

MiniMax M1 80K is available from Novita. Qwen3 VL 4B Instruct is available from DeepInfra.

MiniMax M1 80K

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

Qwen3 VL 4B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

MiniMax
Larger context window (1,000,000 tokens)
Higher AIME 2025 score (76.9% vs 46.6%)
Higher MMLU-Pro score (81.1% vs 67.1%)
Alibaba Cloud / Qwen Team

Qwen3 VL 4B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher SimpleQA score (48.0% vs 18.5%)

Detailed Comparison

AI Model Comparison Table
Feature
MiniMax
MiniMax M1 80K
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct

FAQ

Common questions about MiniMax M1 80K vs Qwen3 VL 4B Instruct.

Which is better, MiniMax M1 80K or Qwen3 VL 4B Instruct?

MiniMax M1 80K shows notably better performance in the majority of benchmarks. MiniMax M1 80K is made by MiniMax and Qwen3 VL 4B Instruct 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 Qwen3 VL 4B Instruct 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%. Qwen3 VL 4B Instruct scores DocVQAtest: 95.3%, ScreenSpot: 94.0%, OCRBench: 88.1%, MMBench-V1.1: 85.1%, AI2D: 84.1%.

Is MiniMax M1 80K cheaper than Qwen3 VL 4B Instruct?

Qwen3 VL 4B Instruct is 5.5x cheaper for input tokens. MiniMax M1 80K costs $0.55/M input and $2.20/M output via novita. Qwen3 VL 4B Instruct costs $0.10/M input and $0.60/M output via deepinfra.

What are the context window sizes for MiniMax M1 80K and Qwen3 VL 4B Instruct?

MiniMax M1 80K supports 1.0M tokens and Qwen3 VL 4B Instruct supports 262K 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 Qwen3 VL 4B Instruct?

Key differences include context window (1.0M vs 262K), input pricing ($0.55 vs $0.10/M), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M1 80K and Qwen3 VL 4B Instruct?

MiniMax M1 80K is developed by MiniMax and Qwen3 VL 4B Instruct is developed by Alibaba Cloud / Qwen Team.