Decision support

MiMo-V2.6-Pro vs GLM 5.3 FlashX Legal

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

    • MiMo-V2.6-Pro
      1480
      Arena #30CI 1471 to 1490
    • GLM 5.3 FlashX Legal
      Not reported
    Runs and sources
    MiMo-V2.6-Pro
    • default148095% CI 1471 to 1490 · 4,066 votes
    GLM 5.3 FlashX Legal

    Not reported

  • Arena WebDev

    Arena rating · Higher is better

    • MiMo-V2.6-Pro
      1624
      Arena #27CI 1617 to 1632
    • GLM 5.3 FlashX Legal
      Not reported
    Runs and sources
    MiMo-V2.6-Pro
    • default162495% CI 1617 to 1632 · 8,790 votes
    GLM 5.3 FlashX Legal

    Not reported

  • Arena Vision

    Arena rating · Higher is better

    • MiMo-V2.6-Pro
      1247
      Arena #58CI 1233 to 1262
    • GLM 5.3 FlashX Legal
      Not reported
    Runs and sources
    MiMo-V2.6-Pro
    • default124795% CI 1233 to 1262 · 1,826 votes
    GLM 5.3 FlashX Legal

    Not reported

  • Agent Arena

    IPS score · Higher is better

    • MiMo-V2.6-Pro
      +0.024
      Arena #19CI +0.015 to +0.033
    • GLM 5.3 FlashX Legal
      Not reported
    Runs and sources
    MiMo-V2.6-Pro
    • default+0.02495% CI +0.015 to +0.033 · 5,764,669 observations
    GLM 5.3 FlashX Legal

    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.

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
September 22, 2026
November 2, 2026
Context window
1.1M
1M
Native context
1M
—
Max output tokens
131,072
131,072
Knowledge cutoff
—
—
Open weights
Open weights
Unknown
Parameter count
528B
—

API pricing · USD per 1M tokens

Input
$0.435
$0.37
Output
$0.87
$1.25
Cached input
$0.0036
$0.075
Cache write
—
—

Capabilities and modalities

Input modalities
text, image, video, audio
text, image, video
Output modalities
text
text
Tool calling
Supported
Supported
Reasoning option
Supported
Supported
Supported options
frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
include_reasoning, max_tokens, reasoning, reasoning_effort, response_format, structured_outputs, temperature, tool_choice, tools, top_k, top_p
Capabilities
completion, thinking, tools, vision
—

Architecture and availability

Architecture
mimo_v2
—
Model families
mimo_v2
—
Tokenizer
Other
Other
Instruction format
—
—
License
—
—
Providers
5
1
Provider endpoints
5
1
Ollama variants
1
0
Metadata source
models.dev
openrouter

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

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