Model comparison

MiMo-V2.6-Pro vs GLM 5.3

Xiaomi's MiMo-V2.6-Pro against Z.ai's GLM 5.3: vendor list prices, limits, abilities and the Artificial Analysis indexes side by side - and what OpenSmartRoute does when both are available.

CheaperGLM 5.3

GLM 5.3 lists at $0.409 per million tokens blended against $0.544 for MiMo-V2.6-Pro - 1.3x less.

Stronger on intelligenceMiMo-V2.6-Pro

MiMo-V2.6-Pro scores 46 on the intelligence index against 45 - 2 points apart.

Longer contextMiMo-V2.6-Pro

MiMo-V2.6-Pro reads 1.1M tokens at once, GLM 5.3 1.0M.

Abilities differMiMo-V2.6-Pro

only MiMo-V2.6-Pro offers image input.

NewerMiMo-V2.6-Pro

MiMo-V2.6-Pro was released about 1 month later.

Side by side

Vendor list prices per million tokens and published limits; indexes are Artificial Analysis composites (0-100).

Specification	MiMo-V2.6-Pro	GLM 5.3
Input price / 1M tokens	$0.43	$0.08
Output price / 1M tokens	$0.87	$1.40
Blended (3 in : 1 out)	$0.54	$0.41
Cached input / 1M	$0.004	$0.08
Context window	1.1M	1.0M
Max output	131K	944K
Input	text, image, video, audio	text
Output	text	text
Tool calls
Structured output
Reasoning
Open weights
Intelligence index	46	45
Coding index	-	75
Agentic index	-	53
Released	Sep 21, 2026	Aug 18, 2026
Available on this deployment

What a month costs

List price times tokens for three typical workloads; your mix of input and output decides which model's pricing suits you.

Workload	MiMo-V2.6-Pro	GLM 5.3	Difference
Support chat20M tokens in, 5M out a month - a help desk answering a few thousand conversations.	$13.05	$8.58	$4.47 less on GLM 5.3
Document summaries100M in, 5M out - long inputs, short answers.	$47.85	$14.90	$32.95 less on GLM 5.3
Coding assistant60M in, 20M out - a team's editor assistant, output-heavy.	$43.50	$32.74	$10.76 less on GLM 5.3

What the router does with the pair

GLM 5.3 takes the short and general requests - at $0.409 blended it is the default - and MiMo-V2.6-Pro the ones whose complexity or quality floor rules the cheaper model out. The split is per request, not per app, and every decision carries the scores for both.

Price a request Playground

yaml

# targets.yaml - both models as routing targets (metadata.model links each to the catalogue entry)
targets:
  - { id: glm-5.3, kind: llm, metadata: { model: z-ai/glm-5.3 } }
  - { id: mimo-v2.6-pro, kind: llm, metadata: { model: xiaomi/mimo-v2.6-pro } }

# rules.yaml - the cheaper model by default, the stronger one when the request is hard
rules:
  - name: simple-requests-stay-cheap
    when: { max_complexity: 0.45 }
    prefer: [glm-5.3]
    weight: 0.8
  - name: hard-requests-escalate
    when: { min_complexity: 0.45 }
    prefer: [mimo-v2.6-pro]
    weight: 0.8

Frequently asked

Is MiMo-V2.6-Pro cheaper than GLM 5.3?: No. MiMo-V2.6-Pro lists at $0.43 in / $0.87 out per million tokens, GLM 5.3 at $0.08 in / $1.40 out; blended, GLM 5.3 is the cheaper one.
Which is better, MiMo-V2.6-Pro or GLM 5.3?: On the Artificial Analysis intelligence index MiMo-V2.6-Pro scores higher (46 against 45). "Better" depends on the task: the coding and agentic indexes below and the abilities row may point the other way for your requests.
Which has the longer context window?: MiMo-V2.6-Pro - 1.1M tokens against 1.0M.
Can I use MiMo-V2.6-Pro and GLM 5.3 together?: Yes. Declare both as targets and OpenSmartRoute picks one per request on quality for the task, price and your rules - the cheaper model for the requests it can answer, the stronger one for the rest - and records why in the trace.

Also compared

Every Xiaomi and Z.ai model, with prices, is on the vendor pages; the rankings show what the router actually picks.

For the business

What it means for which models you pay for.

Catalogue of every vendor
The right model, not the famous one
Price, context, abilities and benchmark indexes side by side, with the model that fits each task named.
The rankings
89% less
Lower cost per request
On the 150-prompt benchmark the router spent 89% less than sending every prompt to the reference model, and the judged quality went up, not down.
Read the benchmark
Per million tokens, every model
Prices you can compare
The catalogue prints input and output prices and what three typical monthly workloads cost on each.
The model catalogue

Which LLM is the cheapest for our workload?: The best-for pages rank the live catalogue per task by the index that measures it, and the router picks the cheapest model that meets your quality rule for each request.
How much can we save on our LLM bill?: On the public benchmark the router saved 89% against sending everything to the reference model. Import last month's provider bill on the bill page and the estimate is computed on your own traffic before you change a line of code.
How often do model prices change?: The catalogue is refreshed from the vendors' price lists; each model page shows the date of its data.

Stop choosing between MiMo-V2.6-Pro and GLM 5.3. Route to both.

Declare the pair as targets and OpenSmartRoute picks per request - the cheaper one where it holds up, the stronger one where it matters - with the comparison in every trace.

Create a free account Try a request

Free plan, no card. Fifteen thousand decisions a month with the full trace.

Specification

MiMo-V2.6-Pro

GLM 5.3

Input price / 1M tokens

$0.43

$0.08

Output price / 1M tokens

$0.87

$1.40

Blended (3 in : 1 out)

$0.54

$0.41

Cached input / 1M

$0.004

$0.08

Context window

1.1M

1.0M

Max output

131K

944K

Input

text, image, video, audio

text

Output

text

Tool calls

Structured output

Reasoning

Open weights

Intelligence index

Coding index

Agentic index

Released

Sep 21, 2026

Aug 18, 2026

Available on this deployment

Workload

MiMo-V2.6-Pro

GLM 5.3

Difference

Support chat20M tokens in, 5M out a month - a help desk answering a few thousand conversations.

$13.05

$8.58

$4.47 less on GLM 5.3

Document summaries100M in, 5M out - long inputs, short answers.

$47.85

$14.90

$32.95 less on GLM 5.3

Coding assistant60M in, 20M out - a team's editor assistant, output-heavy.

$43.50

$32.74

$10.76 less on GLM 5.3

# targets.yaml - both models as routing targets (metadata.model links each to the catalogue entry) targets: - { id: glm-5.3, kind: llm, metadata: { model: z-ai/glm-5.3 } } - { id: mimo-v2.6-pro, kind: llm, metadata: { model: xiaomi/mimo-v2.6-pro } } # rules.yaml - the cheaper model by default, the stronger one when the request is hard rules: - name: simple-requests-stay-cheap when: { max_complexity: 0.45 } prefer: [glm-5.3] weight: 0.8 - name: hard-requests-escalate when: { min_complexity: 0.45 } prefer: [mimo-v2.6-pro] weight: 0.8

Frequently asked

Is MiMo-V2.6-Pro cheaper than GLM 5.3?

No. MiMo-V2.6-Pro lists at $0.43 in / $0.87 out per million tokens, GLM 5.3 at $0.08 in / $1.40 out; blended, GLM 5.3 is the cheaper one.

Which is better, MiMo-V2.6-Pro or GLM 5.3?

On the Artificial Analysis intelligence index MiMo-V2.6-Pro scores higher (46 against 45). "Better" depends on the task: the coding and agentic indexes below and the abilities row may point the other way for your requests.

Which has the longer context window?

MiMo-V2.6-Pro - 1.1M tokens against 1.0M.

Can I use MiMo-V2.6-Pro and GLM 5.3 together?

Yes. Declare both as targets and OpenSmartRoute picks one per request on quality for the task, price and your rules - the cheaper model for the requests it can answer, the stronger one for the rest - and records why in the trace.

MiMo-V2.6-Pro vs GLM 5.3

Side by side

What a month costs

What the router does with the pair

Frequently asked

Also compared

What it means for which models you pay for.

The right model, not the famous one

Lower cost per request

Prices you can compare

Stop choosing between MiMo-V2.6-Pro and GLM 5.3. Route to both.

MiMo-V2.6-Pro vs GLM 5.3

Side by side

What a month costs

What the router does with the pair

Frequently asked

Also compared

What it means for which models you pay for.

The right model, not the famous one

Lower cost per request

Prices you can compare

Stop choosing between MiMo-V2.6-Pro and GLM 5.3. Route to both.