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Gemini 4 Argon vs Kimi K3.1 Pro

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

ModelsHardware
Gemini 4 Argon

Google DeepMind

Sources:models.devOpenRouter

Kimi K3.1 Pro

Moonshot AI

Sources:models.devOpenRouter

Benchmark results

Head to head on 3 benchmarks both models report · 1 tie

  • Gemini 4 Argon2leads
  • Kimi K3.1 Pro0leads

  • Arena Text

    Arena rating · Higher is better

    • Gemini 4 Argon
      Best1522
      +39 ahead · Arena #2CI 1517 to 1528
    • Kimi K3.1 Pro
      1483
      Arena #24CI 1472 to 1494
    Runs and sources
    Gemini 4 Argon
    • high152295% CI 1517 to 1528 · 19,787 votes
    Kimi K3.1 Pro
    • max148395% CI 1472 to 1494 · 3,443 votes
    Source:Arena Text leaderboard, 2026-11-09

  • Arena WebDev

    Arena rating · Higher is better

    Tie, within 95% CI
    • Gemini 4 Argon
      1682
      Arena #12CI 1672 to 1692
    • Kimi K3.1 Pro
      1688
      Arena #11CI 1678 to 1697
    Runs and sources
    Gemini 4 Argon
    • high168295% CI 1672 to 1692 · 4,933 votes
    Kimi K3.1 Pro
    • max168895% CI 1678 to 1697 · 4,916 votes
    Source:Arena WebDev leaderboard, 2026-11-10

  • Agent Arena

    IPS score · Higher is better

    • Gemini 4 Argon
      Best+0.107
      +0.058 ahead · Arena #9CI +0.099 to +0.116
    • Kimi K3.1 Pro
      +0.049
      Arena #15CI +0.038 to +0.060
    Runs and sources
    Gemini 4 Argon
    • high+0.10795% CI +0.099 to +0.116 · 6,551,586 observations
    Kimi K3.1 Pro
    • max+0.04995% CI +0.038 to +0.060 · 6,446,421 observations
    Source:Agent Arena leaderboard, 2026-11-11

  • ARC-AGI-2

    Best published score · Higher is better

    • Gemini 4 Argon
      91.3%
      #7 of 85
    • Kimi K3.1 Pro
      Not reported
    Runs and sources
    Gemini 4 Argon
    • low42.1%
    • medium87.1%
    • high91.3%
    Kimi K3.1 Pro

    Not reported

    Source:External evaluation via Epoch AIOriginal-source terms apply

  • FrontierMath-Tier-4-v2-Private

    Best published score · Higher is better

    • Gemini 4 Argon
      78.0%
      #13 of 72
    • Kimi K3.1 Pro
      Not reported
    Runs and sources
    Gemini 4 Argon
    • high78.0%
    Kimi K3.1 Pro

    Not reported

    Source:Epoch AI evaluation

  • FrontierMath-Tiers-1-3-v2-Private

    Best published score · Higher is better

    • Gemini 4 Argon
      86.0%
      #13 of 87
    • Kimi K3.1 Pro
      Not reported
    Runs and sources
    Gemini 4 Argon
    • high86.0%
    Kimi K3.1 Pro

    Not reported

    Source:Epoch AI evaluation

  • GPQA diamond

    Best published score · Higher is better

    • Gemini 4 Argon
      96.4%
      #2 of 161
    • Kimi K3.1 Pro
      Not reported
    Runs and sources
    Gemini 4 Argon
    • high96.4%
    Kimi K3.1 Pro

    Not reported

    Source:Epoch AI evaluation

  • OTIS Mock AIME 2024-2025

    Best published score · Higher is better

    • Gemini 4 Argon
      100.0%
      #1 of 158
    • Kimi K3.1 Pro
      Not reported
    Runs and sources
    Gemini 4 Argon
    • high100.0%
    Kimi K3.1 Pro

    Not reported

    Source:Epoch AI evaluation

  • SimpleQA Verified

    Best published score · Higher is better

    • Gemini 4 Argon
      76.0%
      #3 of 87
    • Kimi K3.1 Pro
      Not reported
    Runs and sources
    Gemini 4 Argon
    • high76.0%
    Kimi K3.1 Pro

    Not reported

    Source:Epoch AI evaluation

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
September 30, 2026
October 23, 2026
Context window
1M
1M
Native context
—
1M
Max output tokens
943,718
943,718
Knowledge cutoff
2026-03
—
Open weights
Closed
Open weights
Parameter count
—
2.8T

API pricing · USD per 1M tokens

Input
$2.00
$0.2375
Output
$10.00
$8.7856
Cached input
$0.10
$0.19
Cache write
$0.1875
—

Capabilities and modalities

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

Architecture and availability

Architecture
—
kimi-k3
Model families
—
kimi-k3
Tokenizer
Gemini
Other
Instruction format
—
—
License
—
—
Providers
2
17
Provider endpoints
12
46
Ollama variants
0
0
Metadata source
google
ai-research

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

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