Decision support

MiniMax-M2.1 vs MiMo-V2-Flash

Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.

Benchmark results

  • Arena Text

    Arena rating · Higher is better

    • MiniMax-M2.1
      Not reported
    • MiMo-V2-Flash
      1392
      Arena #178CI 1388 to 1395
    Runs and sources
    MiniMax-M2.1

    Not reported

    MiMo-V2-Flash
    • default1392non-thinking · 95% CI 1388 to 1395 · 47,783 votes
    • default1386thinking · 95% CI 1380 to 1392 · 11,061 votes
  • Arena WebDev

    Arena rating · Higher is better

    • MiniMax-M2.1
      Not reported
    • MiMo-V2-Flash
      1331
      Arena #131CI 1321 to 1341
    Runs and sources
    MiniMax-M2.1

    Not reported

    MiMo-V2-Flash
    • default1331non-thinking · 95% CI 1321 to 1341 · 5,644 votes
    • default1292thinking · 95% CI 1275 to 1308 · 1,668 votes
  • Terminal Bench

    Best published score · Higher is better

    • MiniMax-M2.1
      36.6%
      #30 of 49
    • MiMo-V2-Flash
      Not reported
    Runs and sources
    MiniMax-M2.1
    • default36.6%Crux
    • default29.2%Terminus 2
    MiMo-V2-Flash

    Not reported

Each model's best published result is shown; "Not reported" means no matched evaluation, not a score of zero. Arena and DeepSWE ranks are the leaderboards' own; other ranks are among catalogue models with a score. Results from different harnesses or settings are not directly comparable.

Original-source terms apply to evaluations credited to their original publishers.

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

Arena ratings: Arena (lmarena-ai/leaderboard-dataset), licensed CC BY 4.0. Ratings come from pairwise human votes and are only comparable within one leaderboard; the interval is Arena's 95% confidence interval. Model names are matched to the Vertical Tabs catalog.

Model specifications

Release date
December 23, 2025
December 16, 2025
Context window
205K
262K
Native context
—
—
Max output tokens
131,072
65,536
Knowledge cutoff
—
2024-12-01
Open weights
Open weights
Open weights
Parameter count
229B
310B

API pricing · USD per 1M tokens

Input
—
—
Output
—
—
Cached input
—
—
Cache write
—
—

Capabilities and modalities

Input modalities
text
text
Output modalities
text
text
Tool calling
Supported
Supported
Reasoning option
Supported
Supported
Supported options
tools, reasoning, temperature
tools, reasoning, temperature
Capabilities
—
—

Architecture and availability

Architecture
—
—
Model families
—
—
Tokenizer
—
—
Instruction format
—
—
License
—
—
Providers
0
0
Provider endpoints
0
0
Ollama variants
0
0
Metadata source
models.dev
ai-research

A dash means the field is not reported. Provider-specific performance and pricing may differ.

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