Decision support

Nex-N2.6 vs MiMo-V2.6-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

    • Nex-N2.6
      Not reported
    • MiMo-V2.6-Flash
      1448
      Arena #86CI 1443 to 1453
    Runs and sources
    Nex-N2.6

    Not reported

    MiMo-V2.6-Flash
    • default144895% CI 1443 to 1453 · 22,354 votes
  • Arena WebDev

    Arena rating · Higher is better

    • Nex-N2.6
      Not reported
    • MiMo-V2.6-Flash
      1638
      Arena #24CI 1630 to 1645
    Runs and sources
    Nex-N2.6

    Not reported

    MiMo-V2.6-Flash
    • default163895% CI 1630 to 1645 · 8,890 votes
  • Arena Vision

    Arena rating · Higher is better

    • Nex-N2.6
      Not reported
    • MiMo-V2.6-Flash
      1248
      Arena #56CI 1239 to 1256
    Runs and sources
    Nex-N2.6

    Not reported

    MiMo-V2.6-Flash
    • default124895% CI 1239 to 1256 · 6,906 votes
  • Agent Arena

    IPS score · Higher is better

    • Nex-N2.6
      Not reported
    • MiMo-V2.6-Flash
      -0.000
      Arena #33CI -0.011 to +0.010
    Runs and sources
    Nex-N2.6

    Not reported

    MiMo-V2.6-Flash
    • default-0.00095% CI -0.011 to +0.010 · 3,948,227 observations

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
November 10, 2026
September 22, 2026
Context window
262K
1.1M
Native context
—
1M
Max output tokens
235,929
131,072
Knowledge cutoff
—
—
Open weights
Open weights
Open weights
Parameter count
—
161B

API pricing · USD per 1M tokens

Input
$0.12
$0.14
Output
$0.40
$0.28
Cached input
$0.024
$0.0028
Cache write
—
—

Capabilities and modalities

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

Architecture and availability

Architecture
—
mimo_v2
Model families
—
mimo_v2
Tokenizer
Other
Other
Instruction format
—
—
License
—
—
Providers
1
8
Provider endpoints
1
8
Ollama variants
0
1
Metadata source
ai-research
models.dev

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

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