API cost decision in 10 seconds

🔥MiMo-V2.5-Pro vs Qwen3.5 397B A17B

Pick Qwen3.5 397B A17B for lower cost; pick MiMo-V2.5-Pro 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 Qwen3.5 397B A17B for lower cost; pick MiMo-V2.5-Pro only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3.5 397B A17B is estimated at $1.56 vs $2.5 for MiMo-V2.5-Pro, saving $0.94 (37.6% lower).

Cost-first pickQwen3.5 397B A17B
Context-first pickMiMo-V2.5-Pro
Sample savings$0.9437.6%
10x traffic gap$9.4

MiMo-V2.5-Pro has more context, but Qwen3.5 397B A17B saves $0.94 on the standard workload. At 10x that traffic, the same price gap is about $9.4. 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 397B A17B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickMiMo-V2.5-ProQwen3.5 397B A17B
Input-heavy / RAG5M input + 500K outputQwen3.5 397B A17B$6.5$3.12
Balanced workload1M input + 1M outputQwen3.5 397B A17B$4$2.73
Output-heavy chatbot1M input + 5M outputQwen3.5 397B A17B$16$12.09
Cheaper input Qwen3.5 397B A17B $1 vs $0.39 / 1M

Qwen3.5 397B A17B is $0.61 cheaper per 1M input tokens (61% lower; 2.56x difference).

Cheaper output Qwen3.5 397B A17B $3 vs $2.34 / 1M

Qwen3.5 397B A17B is $0.66 cheaper per 1M output tokens (22% lower; 1.28x difference).

Larger context MiMo-V2.5-Pro 1.05M vs 262.14K

MiMo-V2.5-Pro has 786.43K more context (4x larger).

Sample workload Qwen3.5 397B A17B $2.5 vs $1.56

Qwen3.5 397B A17B is $0.94 cheaper on the standard workload (37.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
MiMo-V2.5-Pro Calculating… Estimated API cost
Qwen3.5 397B A17B 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 397B A17B has the lower input price; Qwen3.5 397B A17B has the lower output price; MiMo-V2.5-Pro offers the larger context window. For the 1M input plus 500K output sample, Qwen3.5 397B A17B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $2.5 for MiMo-V2.5-Pro and $1.56 for Qwen3.5 397B A17B.

Best Fit

Choose MiMo-V2.5-Pro when you care most about larger context window.

Choose Qwen3.5 397B A17B when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.5 397B A17B is estimated at $1.56 vs $2.5 for MiMo-V2.5-Pro, saving $0.94 (37.6% lower).
  • Qwen3.5 397B A17B is $0.94 cheaper on the standard workload (37.6% lower).
  • Qwen3.5 397B A17B is $0.61 cheaper per 1M input tokens (61% lower; 2.56x difference).
  • Qwen3.5 397B A17B is $0.66 cheaper per 1M output tokens (22% lower; 1.28x difference).
  • MiMo-V2.5-Pro has 786.43K more context (4x larger).
Head-to-Head Specs
Feature🔥MiMo-V2.5-Pro
(Xiaomi)		Qwen3.5 397B A17B
(Qwen)
Input Price
prompt tokens per 1M		$1$0.39
Completion Price
per 1M tokens		$3$2.34
Sample Workload Cost
1M input + 500K output		$2.5$1.56
Context Window1.05M262.14K
Release Date
Popularity#13

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.5 397B A17BOn the standard 1M input plus 500K output workload, Qwen3.5 397B A17B is estimated at $1.56 vs $2.5 for MiMo-V2.5-Pro, saving $0.94 (37.6% lower).
High-volume input processingQwen3.5 397B A17BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3.5 397B A17BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workMiMo-V2.5-ProA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • MiMo-V2-Flash can replace MiMo-V2.5-Pro when lower sample workload cost matters most: $0.25.
  • MiMo-V2.5 can replace MiMo-V2.5-Pro when lower sample workload cost matters most: $1.4.
  • MiMo-V2-Omni can replace MiMo-V2.5-Pro when lower sample workload cost matters most: $1.4.
  • Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.5 397B A17B when lower sample workload cost matters most: $0.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Grok 4.20 offers 2M context with $2.5 sample workload cost.
  • Owl Alpha offers 1.05M context with $0 sample workload cost.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Xiaomi catalog

Review all tracked Xiaomi models before deciding whether this matchup is the right shortlist.

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Qwen catalog

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

Open Qwen models
MiMo-V2.5-Pro

MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....

Qwen3.5 397B A17B

The Qwen3.5 series 397B-A17B 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. It delivers...