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

MiniMax M2-her vs Qwen3 Coder Next

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 Coder Next.

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 Coder Next

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...

View Full Specs

Technical Specifications

SpecificationMiniMax M2-herQwen3 Coder Next
ProviderMiniMaxAlibaba
Context Window65,536 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-01-232026-02-04

API Pricing Comparison

Input Price per Million Tokens

MiniMax M2-her

$0.30

Qwen3 Coder Next

$0.11

Output Price per Million Tokens

MiniMax M2-her

$1.20

Qwen3 Coder Next

$0.80

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 Coder Next Quirks & Gotchas

No developer gotchas reported.