Model comparison

Kimi K3 vs MiMo-V2.6-Pro

Moonshot AI's Kimi K3 against Xiaomi's MiMo-V2.6-Pro: vendor list prices, limits, abilities and the Artificial Analysis indexes side by side - and what OpenSmartRoute does when both are available.

CheaperMiMo-V2.6-Pro

MiMo-V2.6-Pro lists at $0.544 per million tokens blended against $3.16 for Kimi K3 - 5.8x less.

Stronger on intelligenceMiMo-V2.6-Pro

MiMo-V2.6-Pro scores 46 on the intelligence index against 44 - 3 points apart.

Longer contextMiMo-V2.6-Pro

MiMo-V2.6-Pro reads 1.1M tokens at once, Kimi K3 1.0M.

NewerMiMo-V2.6-Pro

MiMo-V2.6-Pro was released about 2 months later.

Side by side

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

Specification	Kimi K3	MiMo-V2.6-Pro
Input price / 1M tokens	$0.24	$0.43
Output price / 1M tokens	$11.9	$0.87
Blended (3 in : 1 out)	$3.16	$0.54
Cached input / 1M	$0.21	$0.004
Context window	1.0M	1.1M
Max output	944K	131K
Input	text, image, video	text, image, video, audio
Output	text	text
Tool calls
Structured output
Reasoning
Open weights
Intelligence index	44	46
Coding index	76	-
Agentic index	50	-
Released	Jul 16, 2026	Sep 21, 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	Kimi K3	MiMo-V2.6-Pro	Difference
Support chat20M tokens in, 5M out a month - a help desk answering a few thousand conversations.	$64.46	$13.05	$51.41 less on MiMo-V2.6-Pro
Document summaries100M in, 5M out - long inputs, short answers.	$83.58	$47.85	$35.73 less on MiMo-V2.6-Pro
Coding assistant60M in, 20M out - a team's editor assistant, output-heavy.	$253	$43.50	$210 less on MiMo-V2.6-Pro

What the router does with the pair

MiMo-V2.6-Pro is both cheaper and stronger on the intelligence index, so with both in the catalogue the router sends it almost everything; Kimi K3 earns a request only on something it alone offers - a longer context, a modality, a data boundary or a region your rules require.

Price a request Playground

yaml

# targets.yaml - both models as routing targets (metadata.model links each to the catalogue entry)
targets:
  - { id: mimo-v2.6-pro, kind: llm, metadata: { model: xiaomi/mimo-v2.6-pro } }
  - { id: kimi-k3, kind: llm, metadata: { model: moonshotai/kimi-k3 } }

# 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: [mimo-v2.6-pro]
    weight: 0.8
  - name: hard-requests-escalate
    when: { min_complexity: 0.45 }
    prefer: [kimi-k3]
    weight: 0.8

Frequently asked

Is Kimi K3 cheaper than MiMo-V2.6-Pro?: No. Kimi K3 lists at $0.24 in / $11.9 out per million tokens, MiMo-V2.6-Pro at $0.43 in / $0.87 out; blended, MiMo-V2.6-Pro is the cheaper one.
Which is better, Kimi K3 or MiMo-V2.6-Pro?: On the Artificial Analysis intelligence index MiMo-V2.6-Pro scores higher (46 against 44). "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 Kimi K3 and MiMo-V2.6-Pro 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 Moonshot AI and Xiaomi 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 Kimi K3 and MiMo-V2.6-Pro. 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

Kimi K3

MiMo-V2.6-Pro

Input price / 1M tokens

$0.24

$0.43

Output price / 1M tokens

$11.9

$0.87

Blended (3 in : 1 out)

$3.16

$0.54

Cached input / 1M

$0.21

$0.004

Context window

1.0M

1.1M

Max output

944K

131K

Input

text, image, video

text, image, video, audio

Output

text

Tool calls

Structured output

Reasoning

Open weights

Intelligence index

Coding index

Agentic index

Released

Jul 16, 2026

Sep 21, 2026

Available on this deployment

Workload

Kimi K3

MiMo-V2.6-Pro

Difference

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

$64.46

$13.05

$51.41 less on MiMo-V2.6-Pro

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

$83.58

$47.85

$35.73 less on MiMo-V2.6-Pro

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

$253

$43.50

$210 less on MiMo-V2.6-Pro

What the router does with the pair

# targets.yaml - both models as routing targets (metadata.model links each to the catalogue entry) targets: - { id: mimo-v2.6-pro, kind: llm, metadata: { model: xiaomi/mimo-v2.6-pro } } - { id: kimi-k3, kind: llm, metadata: { model: moonshotai/kimi-k3 } } # 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: [mimo-v2.6-pro] weight: 0.8 - name: hard-requests-escalate when: { min_complexity: 0.45 } prefer: [kimi-k3] weight: 0.8

Frequently asked

Is Kimi K3 cheaper than MiMo-V2.6-Pro?

No. Kimi K3 lists at $0.24 in / $11.9 out per million tokens, MiMo-V2.6-Pro at $0.43 in / $0.87 out; blended, MiMo-V2.6-Pro is the cheaper one.

Which is better, Kimi K3 or MiMo-V2.6-Pro?

On the Artificial Analysis intelligence index MiMo-V2.6-Pro scores higher (46 against 44). "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 Kimi K3 and MiMo-V2.6-Pro 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.

Kimi K3 vs MiMo-V2.6-Pro

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 Kimi K3 and MiMo-V2.6-Pro. Route to both.

Kimi K3 vs MiMo-V2.6-Pro

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 Kimi K3 and MiMo-V2.6-Pro. Route to both.