API cost decision in 10 seconds

MiMo-V2.5-Pro vs GLM 4.7

Pick GLM 4.7 for lower cost; pick MiMo-V2.5-Pro only if the larger context window matters more.

Pricing data updated: 2026-05-26T11:08:00Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick GLM 4.7 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, GLM 4.7 is estimated at $1.27 vs $2.5 for MiMo-V2.5-Pro, saving $1.23 (49% lower).

Cost-first pickGLM 4.7

Context-first pickMiMo-V2.5-Pro

Sample savings$1.2349%

10x traffic gap$12.25

MiMo-V2.5-Pro has more context, but GLM 4.7 saves $1.23 on the standard workload. At 10x that traffic, the same price gap is about $12.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

GLM 4.7 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	MiMo-V2.5-Pro	GLM 4.7
Input-heavy / RAG	5M input + 500K output	GLM 4.7	$6.5	$2.88
Balanced workload	1M input + 1M output	GLM 4.7	$4	$2.15
Output-heavy chatbot	1M input + 5M output	GLM 4.7	$16	$9.15

Cheaper input GLM 4.7 $1 vs $0.4 / 1M

GLM 4.7 is $0.6 cheaper per 1M input tokens (60% lower; 2.5x difference).

Cheaper output GLM 4.7 $3 vs $1.75 / 1M

GLM 4.7 is $1.25 cheaper per 1M output tokens (41.7% lower; 1.71x difference).

Larger context MiMo-V2.5-Pro 1.05M vs 202.75K

MiMo-V2.5-Pro has 845.82K more context (5.17x larger).

Sample workload GLM 4.7 $2.5 vs $1.27

GLM 4.7 is $1.23 cheaper on the standard workload (49% 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-Pro Calculating… Estimated API cost

GLM 4.7 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

GLM 4.7 has the lower input price; GLM 4.7 has the lower output price; MiMo-V2.5-Pro offers the larger context window. For the 1M input plus 500K output sample, GLM 4.7 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 $1.27 for GLM 4.7.

Best Fit

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

Choose GLM 4.7 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, GLM 4.7 is estimated at $1.27 vs $2.5 for MiMo-V2.5-Pro, saving $1.23 (49% lower).
GLM 4.7 is $1.23 cheaper on the standard workload (49% lower).
GLM 4.7 is $0.6 cheaper per 1M input tokens (60% lower; 2.5x difference).
GLM 4.7 is $1.25 cheaper per 1M output tokens (41.7% lower; 1.71x difference).
MiMo-V2.5-Pro has 845.82K more context (5.17x larger).

Head-to-Head Specs

Feature	MiMo-V2.5-Pro (Xiaomi)	GLM 4.7 (Z.ai)
Input Price prompt tokens per 1M	$1	$0.4
Completion Price per 1M tokens	$3	$1.75
Sample Workload Cost 1M input + 500K output	$2.5	$1.27
Context Window	1.05M	202.75K
Release Date	2026-04-22	2025-12-22

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	GLM 4.7	On the standard 1M input plus 500K output workload, GLM 4.7 is estimated at $1.27 vs $2.5 for MiMo-V2.5-Pro, saving $1.23 (49% lower).
High-volume input processing	GLM 4.7	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	GLM 4.7	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	MiMo-V2.5-Pro	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-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.
GLM 4.5 Air (free) can replace GLM 4.7 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.

Popular competitors

No popular competitor is currently available.

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.

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Provider catalogs

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

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Xiaomi catalog

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

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Z.ai catalog

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

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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....

GLM 4.7

GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while...