API cost decision in 10 seconds

Qwen3.5 Plus 2026-02-15 vs MiniMax M2-her

Pick MiniMax M2-her for lower cost; pick Qwen3.5 Plus 2026-02-15 only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick MiniMax M2-her for lower cost; pick Qwen3.5 Plus 2026-02-15 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, MiniMax M2-her is estimated at $0.9 vs $1.04 for Qwen3.5 Plus 2026-02-15, saving $0.14 (13.5% lower).

Cost-first pickMiniMax M2-her
Context-first pickQwen3.5 Plus 2026-02-15
Sample savings$0.1413.5%
10x traffic gap$1.4

Qwen3.5 Plus 2026-02-15 has more context, but MiniMax M2-her saves $0.14 on the standard workload. At 10x that traffic, the same price gap is about $1.4. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Qwen3.5 Plus 2026-02-15, balanced workload favors MiniMax M2-her, and output-heavy chatbot favors MiniMax M2-her.

Workload shapeToken mixBetter pickQwen3.5 Plus 2026-02-15MiniMax M2-her
Input-heavy / RAG5M input + 500K outputQwen3.5 Plus 2026-02-15$2.08$2.1
Balanced workload1M input + 1M outputMiniMax M2-her$1.82$1.5
Output-heavy chatbot1M input + 5M outputMiniMax M2-her$8.06$6.3
Cheaper input Qwen3.5 Plus 2026-02-15 $0.26 vs $0.3 / 1M

Qwen3.5 Plus 2026-02-15 is $0.04 cheaper per 1M input tokens (13.3% lower; 1.15x difference).

Cheaper output MiniMax M2-her $1.56 vs $1.2 / 1M

MiniMax M2-her is $0.36 cheaper per 1M output tokens (23.1% lower; 1.3x difference).

Larger context Qwen3.5 Plus 2026-02-15 1M vs 65.54K

Qwen3.5 Plus 2026-02-15 has 934.46K more context (15.3x larger).

Sample workload MiniMax M2-her $1.04 vs $0.9

MiniMax M2-her is $0.14 cheaper on the standard workload (13.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.5 Plus 2026-02-15 Calculating… Estimated API cost
MiniMax M2-her Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Qwen3.5 Plus 2026-02-15 has the lower input price; MiniMax M2-her has the lower output price; Qwen3.5 Plus 2026-02-15 offers the larger context window. For the 1M input plus 500K output sample, MiniMax M2-her is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.04 for Qwen3.5 Plus 2026-02-15 and $0.9 for MiniMax M2-her.

Best Fit

Choose Qwen3.5 Plus 2026-02-15 when you care most about lower input-token price, and larger context window.

Choose MiniMax M2-her when you care most about lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, MiniMax M2-her is estimated at $0.9 vs $1.04 for Qwen3.5 Plus 2026-02-15, saving $0.14 (13.5% lower).
  • MiniMax M2-her is $0.14 cheaper on the standard workload (13.5% lower).
  • Qwen3.5 Plus 2026-02-15 is $0.04 cheaper per 1M input tokens (13.3% lower; 1.15x difference).
  • MiniMax M2-her is $0.36 cheaper per 1M output tokens (23.1% lower; 1.3x difference).
  • Qwen3.5 Plus 2026-02-15 has 934.46K more context (15.3x larger).
Head-to-Head Specs
FeatureQwen3.5 Plus 2026-02-15
(Qwen)
MiniMax M2-her
(MiniMax)
Input Price
prompt tokens per 1M
$0.26$0.3
Completion Price
per 1M tokens
$1.56$1.2
Sample Workload Cost
1M input + 500K output
$1.04$0.9
Context Window1M65.54K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMiniMax M2-herOn the standard 1M input plus 500K output workload, MiniMax M2-her is estimated at $0.9 vs $1.04 for Qwen3.5 Plus 2026-02-15, saving $0.14 (13.5% lower).
High-volume input processingQwen3.5 Plus 2026-02-15Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMiniMax M2-herLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.5 Plus 2026-02-15A larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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Qwen catalog

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MiniMax catalog

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Qwen3.5 Plus 2026-02-15

The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...

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...