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BenchLM
Data

MiMo-V2.6-Pro vs Ultramarine 1 Flash

Updated October 14, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.

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Decision reading

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. 5 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A
Xiaomi logo

Xiaomi

73.57/100

Estimated · Public rank #12

Conditional range 63.9–83.3

Model B

Paper Instruments

—

Evidence status unavailable

90% interval unavailable

Shared results
5
MiMo-V2.6-Pro only
8
Ultramarine 1 Flash only
0
Like-for-like categories
0 / 8
Estimated: MiMo-V2.6-Pro. Conditional ranges do not establish rank confidence.How the comparison works

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.

  • Chat turn cost

    1K fresh input + 500 output tokens

    Ultramarine 1 Flash

    Ultramarine 1 Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates
  • Cache-heavy agent loop cost

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

    Ultramarine 1 Flash

    Ultramarine 1 Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates
Show secondary and unsupported calls
  • Repository review cost

    50K fresh input + 3K output tokens

    Ultramarine 1 Flash

    Ultramarine 1 Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates
  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    Ultramarine 1 Flash is not ranked on the public lane for coding, so no winner is named for coding.

    Confidence: limited
  • Agentic work

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

    Not enough matched evidence

    Ultramarine 1 Flash is not ranked on the public lane for agentic, so no winner is named for agentic.

    Confidence: limited
  • Long documents

    Prompts that approach the documented context limit

    Not enough matched evidence

    A complete context comparison is not sourced.

    Confidence: limited

Which one for a specific job

Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

63.3MiMo-V2.6-Pro—Ultramarine 1 Flash

Not comparable · BenchAlign v5.8

The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.

Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.

Same basis rules as the category table below

What is actually comparable

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

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.

Bars run 0–100 on each benchmark’s normalized display scale

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Agentic

Not comparable
MiMo-V2.6-Pro
67.9
Estimated · #13/125
Ultramarine 1 Flash
Not ranked
Basis
BenchAlign v5.8 lane · 9 vs 3 public rows
Reading
Not comparable

Coding

Not comparable
MiMo-V2.6-Pro
63.3
Supported · #13/149
Ultramarine 1 Flash
Not ranked
Basis
BenchAlign v5.8 lane · 4 vs 2 public rows
Reading
Not comparable

Reasoning

Not comparable
MiMo-V2.6-Pro
83.4
Unranked · 2 rankable rows
Ultramarine 1 Flash
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
MiMo-V2.6-Pro
Not ranked
Ultramarine 1 Flash
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Knowledge

Not comparable
MiMo-V2.6-Pro
69.0
Supported · #19/181
Ultramarine 1 Flash
Not ranked
Basis
BenchAlign v5.8 lane · 0 vs 0 public rows
Reading
Not comparable

Multilingual

Not comparable
MiMo-V2.6-Pro
Not ranked
Ultramarine 1 Flash
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
MiMo-V2.6-Pro
Not ranked
Ultramarine 1 Flash
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
MiMo-V2.6-Pro
Not ranked
Ultramarine 1 Flash
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Supported evidence per lane · bars run 0–100Methodology

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-V2.6-Pro
$0.00087
Fits in one request
Ultramarine 1 Flash
$0.0004
Fit state unavailable

Ultramarine 1 Flash has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

MiMo-V2.6-Pro
$0.02436
Fits in one request
Ultramarine 1 Flash
$0.009
Fit state unavailable

Ultramarine 1 Flash has the lower modeled cost

Costs use the listed standard API rates.

Cache-heavy agent loop

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

MiMo-V2.6-Pro
$0.01812
Fits in one request
Ultramarine 1 Flash
$0.014
Fit state unavailable

Ultramarine 1 Flash has the lower modeled cost

Costs use the listed standard API rates.

Cached input falls back to the list input rate only where a cached rate is unpublished

Specification differences

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

Reasoning profile

MiMo-V2.6-Pro

Reasoning

Ultramarine 1 Flash

Reasoning

Weight access

MiMo-V2.6-Pro

Open Weight

Ultramarine 1 Flash

Proprietary

License

MiMo-V2.6-Pro

Open Weight

Ultramarine 1 Flash

Proprietary

Release date

MiMo-V2.6-Pro

2026-09-22

Ultramarine 1 Flash

2026-10-14

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
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
Workload cost
Repository review: $0.02436 vs $0.009. Cache-heavy agent loop: $0.01812 vs $0.014.
Context tradeoff
A complete documented context comparison is not available.
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, MiMo-V2.6-Pro or Ultramarine 1 Flash?

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, MiMo-V2.6-Pro or Ultramarine 1 Flash?

Ultramarine 1 Flash is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, MiMo-V2.6-Pro or Ultramarine 1 Flash?

Ultramarine 1 Flash is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, MiMo-V2.6-Pro or Ultramarine 1 Flash?

For the stated presets, chat costs $0.00087 on MiMo-V2.6-Pro and $0.0004 on Ultramarine 1 Flash; repository review costs $0.02436 and $0.009; the cache-heavy agent loop costs $0.01812 and $0.014. Costs use the listed standard API rates.

Which has the larger context window, MiMo-V2.6-Pro or Ultramarine 1 Flash?

A complete documented context-window comparison is not available.

Benchmark evidence

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

Browse raw public benchmark evidence13 rows

Agentic

  • Toolathlon-Verified

    MiMo-V2.6-Pro76.9%
    Source
    Ultramarine 1 Flash—

    Not directly comparable

  • AutomationBench

    MiMo-V2.6-Pro53.1%
    Source
    Ultramarine 1 Flash50.2%
    Source

    MiMo-V2.6-Pro leads this result

  • Agents' Last Exam

    MiMo-V2.6-Pro31.6%
    Source
    Ultramarine 1 Flash—

    Not directly comparable

  • Terminal-Bench 4.0

    MiMo-V2.6-Pro34.90%
    Source
    Ultramarine 1 Flash—

    Not directly comparable

  • Terminal-Bench 2.1

    MiMo-V2.6-Pro89.9%
    Source
    Ultramarine 1 Flash83.2%
    Source

    MiMo-V2.6-Pro leads this result

  • OSWorld-Verified

    MiMo-V2.6-Pro82%
    Source
    Ultramarine 1 Flash—

    Not directly comparable

  • JobBench

    MiMo-V2.6-Pro62.0%
    Source
    Ultramarine 1 Flash62.9%
    Source

    Ultramarine 1 Flash leads this result

  • CyberGym

    MiMo-V2.6-Pro94.0%
    Source
    Ultramarine 1 Flash—

    Not directly comparable

  • ExploitGym

    MiMo-V2.6-Pro17.8%
    Source
    Ultramarine 1 Flash—

    Not directly comparable

Coding

  • DeepSWE

    MiMo-V2.6-Pro71.9%
    Source
    Ultramarine 1 Flash61.5%
    Source

    MiMo-V2.6-Pro leads this result

  • ProgramBench

    MiMo-V2.6-Pro26.5%
    Source
    Ultramarine 1 Flash—

    Not directly comparable

  • Terminal-Bench 2.1

    MiMo-V2.6-Pro89.9%
    Source
    Ultramarine 1 Flash83.2%
    Source

    MiMo-V2.6-Pro leads this result

  • Bug Hunt Bench

    MiMo-V2.6-Pro22.7 fixes
    Source
    Ultramarine 1 Flash—

    Not directly comparable

13 public results · 5 shared

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Last updated October 14, 2026