Decision support

Mi:dm K 3.0 Pro vs Solar Pro 4

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

    • Mi:dm K 3.0 Pro
      Not reported
    • Solar Pro 4
      1387
      Arena #186CI 1382 to 1393
    Runs and sources
    Mi:dm K 3.0 Pro

    Not reported

    Solar Pro 4
    • default138795% CI 1382 to 1393 · 27,104 votes
  • Arena WebDev

    Arena rating · Higher is better

    • Mi:dm K 3.0 Pro
      Not reported
    • Solar Pro 4
      1369
      Arena #118CI 1359 to 1380
    Runs and sources
    Mi:dm K 3.0 Pro

    Not reported

    Solar Pro 4
    • default136995% CI 1359 to 1380 · 4,501 votes
  • Agent Arena

    IPS score · Higher is better

    • Mi:dm K 3.0 Pro
      Not reported
    • Solar Pro 4
      -0.226
      Arena #59CI -0.248 to -0.204
    Runs and sources
    Mi:dm K 3.0 Pro

    Not reported

    Solar Pro 4
    • default-0.22695% CI -0.248 to -0.204 · 567,924 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 5, 2026
August 6, 2026
Context window
262K
524K
Native context
—
—
Max output tokens
235,615
131,072
Knowledge cutoff
—
2026-02
Open weights
Unknown
Closed
Parameter count
—
—

API pricing · USD per 1M tokens

Input
$0.20
$0.15
Output
$0.80
$0.60
Cached input
$0.04
$0.03
Cache write
—
—

Capabilities and modalities

Input modalities
text
text
Output modalities
text
text
Tool calling
—
Supported
Reasoning option
Supported
Supported
Supported options
frequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, repetition_penalty, response_format, structured_outputs, temperature, top_k, top_logprobs, top_p
frequency_penalty, include_reasoning, logprobs, max_tokens, parallel_tool_calls, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Capabilities
—
—

Architecture and availability

Architecture
—
—
Model families
—
—
Tokenizer
Other
Other
Instruction format
—
—
License
—
—
Providers
1
2
Provider endpoints
1
3
Ollama variants
0
0
Metadata source
ai-research
ai-research

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

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