API cost decision in 10 seconds

MiMo-V2.5 vs Qwen3 8B

Pick Qwen3 8B for lower cost; pick MiMo-V2.5 only if the larger context window matters more.

Page updated: 2026-05-26T17:08:01Z Data confirmed: 2026-05-26T19:08:13Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3 8B for lower cost; pick MiMo-V2.5 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3 8B is estimated at $0.25 vs $0.28 for MiMo-V2.5, saving $0.03 (10.7% lower).

Cost-first pickQwen3 8B

Context-first pickMiMo-V2.5

Sample savings$0.0310.7%

10x traffic gap$0.3

MiMo-V2.5 has more context, but Qwen3 8B saves $0.03 on the standard workload. At 10x that traffic, the same price gap is about $0.3. 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 8B, balanced workload favors MiMo-V2.5, and output-heavy chatbot favors MiMo-V2.5.

Workload shape	Token mix	Better pick	MiMo-V2.5	Qwen3 8B
Input-heavy / RAG	5M input + 500K output	Qwen3 8B	$0.84	$0.45
Balanced workload	1M input + 1M output	MiMo-V2.5	$0.42	$0.45
Output-heavy chatbot	1M input + 5M output	MiMo-V2.5	$1.54	$2.05

Cheaper input Qwen3 8B $0.14 vs $0.05 / 1M

Qwen3 8B is $0.09 cheaper per 1M input tokens (64.3% lower; 2.8x difference).

Cheaper output MiMo-V2.5 $0.28 vs $0.4 / 1M

MiMo-V2.5 is $0.12 cheaper per 1M output tokens (30% lower; 1.43x difference).

Larger context MiMo-V2.5 1.05M vs 131.07K

MiMo-V2.5 has 917.5K more context (8x larger).

Sample workload Qwen3 8B $0.28 vs $0.25

Qwen3 8B is $0.03 cheaper on the standard workload (10.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

MiMo-V2.5 Calculating… Estimated API cost

Qwen3 8B 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 8B has the lower input price; MiMo-V2.5 has the lower output price; MiMo-V2.5 offers the larger context window. For the 1M input plus 500K output sample, Qwen3 8B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.28 for MiMo-V2.5 and $0.25 for Qwen3 8B.

Best Fit

Choose MiMo-V2.5 when you care most about lower output-token price, and larger context window.

Choose Qwen3 8B when you care most about lower input-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Qwen3 8B is estimated at $0.25 vs $0.28 for MiMo-V2.5, saving $0.03 (10.7% lower).
Qwen3 8B is $0.03 cheaper on the standard workload (10.7% lower).
Qwen3 8B is $0.09 cheaper per 1M input tokens (64.3% lower; 2.8x difference).
MiMo-V2.5 is $0.12 cheaper per 1M output tokens (30% lower; 1.43x difference).
MiMo-V2.5 has 917.5K more context (8x larger).

Head-to-Head Specs

Feature	MiMo-V2.5 (Xiaomi)	Qwen3 8B (Qwen)
Input Price prompt tokens per 1M	$0.14	$0.05
Completion Price per 1M tokens	$0.28	$0.4
Sample Workload Cost 1M input + 500K output	$0.28	$0.25
Context Window	1.05M	131.07K
Release Date	2026-04-22	2025-04-28
Popularity	#39	#102

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Qwen3 8B	On the standard 1M input plus 500K output workload, Qwen3 8B is estimated at $0.25 vs $0.28 for MiMo-V2.5, saving $0.03 (10.7% lower).
High-volume input processing	Qwen3 8B	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	MiMo-V2.5	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	MiMo-V2.5	A 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 when lower sample workload cost matters most: $0.25.
Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 8B when lower sample workload cost matters most: $0.
Qwen3 Coder 480B A35B (free) can replace Qwen3 8B when lower sample workload cost matters most: $0.
Qwen2.5 7B Instruct can replace Qwen3 8B when lower sample workload cost matters most: $0.09.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.

Popular competitors

DeepSeek V4 Flash · DeepSeek · #1
Hy3 preview · Tencent · #2
Claude Opus 4.7 · Anthropic · #3
Claude Sonnet 4.6 · Anthropic · #4

Cheaper alternatives

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

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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.

Open Xiaomi models

Qwen catalog

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

Open Qwen models

MiMo-V2.5

MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...

Qwen3 8B

Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...