โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

MiniMax M2-her vs Qwen3 VL 235B A22B Thinking

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-her and Qwen3 VL 235B A22B Thinking.

MiniMax

MiniMax M2-her

MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in tone and personality, it supports rich message...

View Full Specs
Alibaba

Qwen3 VL 235B A22B Thinking

Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math....

View Full Specs

Technical Specifications

SpecificationMiniMax M2-herQwen3 VL 235B A22B Thinking
ProviderMiniMaxAlibaba
Context Window65,536 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-01-232025-09-23

API Pricing Comparison

Input Price per Million Tokens

MiniMax M2-her

$0.30

Qwen3 VL 235B A22B Thinking

$0.26

Output Price per Million Tokens

MiniMax M2-her

$1.20

Qwen3 VL 235B A22B Thinking

$2.60

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-her Quirks & Gotchas

No developer gotchas reported.

Qwen3 VL 235B A22B Thinking Quirks & Gotchas

No developer gotchas reported.