API cost decision in 10 seconds

MiMo-V2-Omni vs Qwen3.5 Plus 2026-02-15

Pick Qwen3.5 Plus 2026-02-15 when budget and context both matter.

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

Budget verdict

Pick Qwen3.5 Plus 2026-02-15 when budget and context both matter.

On the standard 1M input plus 500K output workload, Qwen3.5 Plus 2026-02-15 is estimated at $1.04 vs $1.4 for MiMo-V2-Omni, saving $0.36 (25.7% lower).

Cost-first pickQwen3.5 Plus 2026-02-15
Context-first pickQwen3.5 Plus 2026-02-15
Sample savings$0.3625.7%
10x traffic gap$3.6

Qwen3.5 Plus 2026-02-15 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $3.6. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3.5 Plus 2026-02-15 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickMiMo-V2-OmniQwen3.5 Plus 2026-02-15
Input-heavy / RAG5M input + 500K outputQwen3.5 Plus 2026-02-15$3$2.08
Balanced workload1M input + 1M outputQwen3.5 Plus 2026-02-15$2.4$1.82
Output-heavy chatbot1M input + 5M outputQwen3.5 Plus 2026-02-15$10.4$8.06
Cheaper input Qwen3.5 Plus 2026-02-15 $0.4 vs $0.26 / 1M

Qwen3.5 Plus 2026-02-15 is $0.14 cheaper per 1M input tokens (35% lower; 1.54x difference).

Cheaper output Qwen3.5 Plus 2026-02-15 $2 vs $1.56 / 1M

Qwen3.5 Plus 2026-02-15 is $0.44 cheaper per 1M output tokens (22% lower; 1.28x difference).

Larger context Qwen3.5 Plus 2026-02-15 262.14K vs 1M

Qwen3.5 Plus 2026-02-15 has 737.86K more context (3.81x larger).

Sample workload Qwen3.5 Plus 2026-02-15 $1.4 vs $1.04

Qwen3.5 Plus 2026-02-15 is $0.36 cheaper on the standard workload (25.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
MiMo-V2-Omni Calculating… Estimated API cost
Qwen3.5 Plus 2026-02-15 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; Qwen3.5 Plus 2026-02-15 has the lower output price; Qwen3.5 Plus 2026-02-15 offers the larger context window. For the 1M input plus 500K output sample, Qwen3.5 Plus 2026-02-15 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.4 for MiMo-V2-Omni and $1.04 for Qwen3.5 Plus 2026-02-15.

Best Fit

Choose MiMo-V2-Omni when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.5 Plus 2026-02-15 is estimated at $1.04 vs $1.4 for MiMo-V2-Omni, saving $0.36 (25.7% lower).
  • Qwen3.5 Plus 2026-02-15 is $0.36 cheaper on the standard workload (25.7% lower).
  • Qwen3.5 Plus 2026-02-15 is $0.14 cheaper per 1M input tokens (35% lower; 1.54x difference).
  • Qwen3.5 Plus 2026-02-15 is $0.44 cheaper per 1M output tokens (22% lower; 1.28x difference).
  • Qwen3.5 Plus 2026-02-15 has 737.86K more context (3.81x larger).
Head-to-Head Specs
FeatureMiMo-V2-Omni
(Xiaomi)
Qwen3.5 Plus 2026-02-15
(Qwen)
Input Price
prompt tokens per 1M
$0.4$0.26
Completion Price
per 1M tokens
$2$1.56
Sample Workload Cost
1M input + 500K output
$1.4$1.04
Context Window262.14K1M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.5 Plus 2026-02-15On the standard 1M input plus 500K output workload, Qwen3.5 Plus 2026-02-15 is estimated at $1.04 vs $1.4 for MiMo-V2-Omni, saving $0.36 (25.7% 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 chatbotsQwen3.5 Plus 2026-02-15Lower 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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Xiaomi catalog

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Qwen catalog

Check other Qwen models with comparable pricing, context, or release timing.

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MiMo-V2-Omni

MiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified architecture. It combines strong multimodal perception with agentic capability - visual grounding, multi-step...

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...