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Model comparison

MiMo-V2-Omni vs o3-mini

Updated August 1, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

20 confirmed releases in the last 30 daysSee provider release alerts
MiMo-V2-Omni

Xiaomi

62.2/100

Supported · Public rank #43

90% interval 52.3–72.0

o3-mini

OpenAI

46.5/100

Supported · Public rank #143

90% interval 32.1–60.9

MiMo-V2-Omni has the higher public score estimate, 62.16 versus 46.49, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

1 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

  • Coding work

    Code generation, repair, and software-engineering tasks

    MiMo-V2-Omni

    MiMo-V2-Omni leads on the same 1 weighted benchmark row.

    Confidence: limited

  • Long documents

    Prompts that approach the documented context limit

    MiMo-V2-Omni

    MiMo-V2-Omni has the larger documented context window.

    Confidence: documented

Show secondary and unsupported calls
  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Chat turn cost

    1K fresh input + 500 output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Not enough matched evidence

    The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. o3-mini does not fit this workload in one request. o3-mini has no published cached-input rate, so cached tokens use its listed input rate. MiMo-V2-Omni has no comparable published API token rate.

    Confidence: rate-fallback

  • Repository review cost

    50K fresh input + 3K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

Shared results
1
MiMo-V2-Omni only
1
o3-mini only
4
Like-for-like categories
1 / 8

Category results, on a stated basis

Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.

Coding

Like-for-like
MiMo-V2-Omni
74.8
o3-mini
49.3
Weighted basis
1 vs 1 rows
Reading
MiMo-V2-Omni leads

Agentic

Not comparable
MiMo-V2-Omni
Not measured
o3-mini
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Reasoning

Not comparable
MiMo-V2-Omni
Not measured
o3-mini
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
MiMo-V2-Omni
Not measured
o3-mini
77.2
Weighted basis
0 vs 1 rows
Reading
Not comparable

Math

Not comparable
MiMo-V2-Omni
Not measured
o3-mini
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
MiMo-V2-Omni
Not measured
o3-mini
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
MiMo-V2-Omni
Not measured
o3-mini
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Instruction following

Not comparable
MiMo-V2-Omni
Not measured
o3-mini
93.9
Weighted basis
0 vs 1 rows
Reading
Not comparable

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

MiMo-V2-Omni
API rate not published
Fits in one request
o3-mini
$0.0033
Fits in one request

MiMo-V2-Omni has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

MiMo-V2-Omni
API rate not published
Fits in one request
o3-mini
$0.0682
Fits in one request

MiMo-V2-Omni has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

MiMo-V2-Omni
API rate not published
Fits in one request
Cached-input rate unavailable
o3-mini
$0.286
Does not fit in one request
Cached input priced at the published list-input rate

o3-mini does not fit this workload in one request. o3-mini has no published cached-input rate, so cached tokens use its listed input rate. MiMo-V2-Omni has no comparable published API token rate.

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Context window

Maximum documented context; output-token limits may be lower.

MiMo-V2-Omni

262K

o3-mini

200K

API model ID

MiMo-V2-Omni

Not sourced

o3-mini

Not sourced

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

MiMo-V2-Omni

No comparable hosted API rate

o3-mini

Not published

Documented inputs

MiMo-V2-Omni

Not sourced

o3-mini

Not sourced

Documented outputs

MiMo-V2-Omni

Not sourced

o3-mini

Not sourced

Provider availability

MiMo-V2-Omni

Not sourced

o3-mini

Not sourced

Reasoning profile

MiMo-V2-Omni

Reasoning

o3-mini

Reasoning

Weight access

MiMo-V2-Omni

Proprietary

o3-mini

Proprietary

License

MiMo-V2-Omni

Proprietary

o3-mini

Proprietary

Release date

MiMo-V2-Omni

2026-03-18

o3-mini

2025-01-31

If you already use one of these models
Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
MiMo-V2-Omni has the higher public score estimate, 62.16 versus 46.49, but the 90% score intervals overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
MiMo-V2-Omni has the larger documented window (262K).

Run the same representative tasks against both endpoints before changing production traffic.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence6 rows

Agentic

  • Claw-Eval

    MiMo-V2-Omni45.2%
    Source
    o3-mini

    Not directly comparable

Coding

  • SWE-bench Verified

    MiMo-V2-Omni74.8%
    Source
    o3-mini49.3%
    Source

    MiMo-V2-Omni leads this result

Knowledge

  • MMLU

    MiMo-V2-Omni
    o3-mini86.9%
    Source

    Not directly comparable

  • GPQA

    MiMo-V2-Omni
    o3-mini77.2%
    Source

    Not directly comparable

Math

  • AIME 2024

    MiMo-V2-Omni
    o3-mini87.3%
    Source

    Not directly comparable

Instruction following

  • IFEval

    MiMo-V2-Omni
    o3-mini93.9%
    Source

    Not directly comparable

Frequently asked questions

Which is better, MiMo-V2-Omni or o3-mini?

MiMo-V2-Omni has the higher public score estimate, 62.16 versus 46.49, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, MiMo-V2-Omni or o3-mini?

MiMo-V2-Omni leads the like-for-like coding comparison across 1 shared weighted benchmark row.

Which is better for agentic tasks, MiMo-V2-Omni or o3-mini?

The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.

Which costs less, MiMo-V2-Omni or o3-mini?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, MiMo-V2-Omni or o3-mini?

MiMo-V2-Omni has the larger documented context window: 262K, compared with 200K.

Related comparisons

Last updated August 1, 2026

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