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MiniMax M2.1 vs Qwen3.5-122B-A10B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for MiniMax M2.1 and Qwen3.5-122B-A10B.

MiniMax

MiniMax M2.1

MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world...

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Alibaba

Qwen3.5-122B-A10B

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...

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Technical Specifications

SpecificationMiniMax M2.1Qwen3.5-122B-A10B
ProviderMiniMaxAlibaba
Context Window204,800 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-12-232026-02-25

API Pricing Comparison

Input Price per Million Tokens

MiniMax M2.1

$0.30

Qwen3.5-122B-A10B

$0.26

Output Price per Million Tokens

MiniMax M2.1

$1.20

Qwen3.5-122B-A10B

$2.08

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MiniMax M2.1 Quirks & Gotchas

No developer gotchas reported.

Qwen3.5-122B-A10B Quirks & Gotchas

No developer gotchas reported.