MiniMax-M2.1 vs Qwen3 VL 235B A22B Instruct: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the MiniMax-M2.1 vs Qwen3 VL 235B A22B Instruct Showdown

After a comprehensive analysis, MiniMax-M2.1 emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Qwen3 VL 235B A22B Instruct remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed MiniMax-M2.1 vs Qwen3 VL 235B A22B Instruct comparison will break down every critical metric to help you make the best decision.

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Model Snapshot

Key decision metrics at a glance.

MiniMax-M2.1

Other

Reasoning: 8
Coding: 3
Multimodal: 3
Long Context: 5
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 67.867tokens/sec

Qwen3 VL 235B A22B Instruct

Other

Reasoning: 7
Coding: 2
Multimodal: 2
Long Context: 3
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 45.04tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the MiniMax-M2.1 vs Qwen3 VL 235B A22B Instruct matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our MiniMax-M2.1 vs Qwen3 VL 235B A22B Instruct analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `MiniMax-M2.1` vs `Qwen3 VL 235B A22B Instruct`.

Benchmark Breakdown

For a granular look, this chart directly compares scores across standardized benchmarks. In the critical MMLU Pro test, a key part of the MiniMax-M2.1 vs Qwen3 VL 235B A22B Instruct debate, MiniMax-M2.1 scores 80 against Qwen3 VL 235B A22B Instruct's 70. This data-driven approach is essential for any serious MiniMax-M2.1 vs Qwen3 VL 235B A22B Instruct comparison.

This grouped bar chart provides a side-by-side comparison for each benchmark metric.

Speed & Latency

Speed is a crucial factor in the MiniMax-M2.1 vs Qwen3 VL 235B A22B Instruct decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

MiniMax-M2.1300ms

Qwen3 VL 235B A22B Instruct300ms

Tokens per Second

MiniMax-M2.167.867

Qwen3 VL 235B A22B Instruct45.04

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The Economics of MiniMax-M2.1 vs Qwen3 VL 235B A22B Instruct

Power is only one part of the equation. This MiniMax-M2.1 vs Qwen3 VL 235B A22B Instruct pricing analysis gives you a true sense of value.

Pricing Breakdown

Compare input and output pricing at a glance.

Real-World Cost Scenario

To process 1M input tokens and generate 250k output tokens, MiniMax-M2.1 would cost $0.001, whereas Qwen3 VL 235B A22B Instruct would cost $0.001. This practical calculation is vital for any developer considering the MiniMax-M2.1 vs Qwen3 VL 235B A22B Instruct choice.

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Which Model Wins the MiniMax-M2.1 vs Qwen3 VL 235B A22B Instruct Battle for You?

Choose MiniMax-M2.1 if...

Your top priority is raw performance and capability.

You are working in a technical or scientific field requiring the highest accuracy.

You need the most advanced reasoning capabilities available.

Choose Qwen3 VL 235B A22B Instruct if...

You are developing at scale where operational costs are critical.

You prioritize cost-effectiveness over maximum performance.

Your workload requires consistent, reliable performance.

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Your Questions about the MiniMax-M2.1 vs Qwen3 VL 235B A22B Instruct Comparison

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Data source: https://artificialanalysis.ai/