Decision support

Kimi K3 vs Inkling 2 Small

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

Kimi K3

Moonshot AI

Sources:models.devOpenRouter

Inkling 2 Small

Thinking Machines Lab

Sources:models.devOpenRouter

Benchmark results

Head to head on 4 benchmarks both models report · 2 ties

  • Kimi K31lead
  • Inkling 2 Small1lead
  • DeepSWE 1.1

    Best pass@1 · Higher is better

    • Kimi K3
      68.5%
      #8 of 28
    • Inkling 2 Small
      Not reported
    Runs and sources
    Kimi K3
    • max68.5%mini-swe-agent · pass@4 89.4% · $4.65 / attempt
    Inkling 2 Small

    Not reported

  • Arena Text

    Arena rating · Higher is better

    • Kimi K3
      Best1487
      +75 ahead · Arena #19CI 1483 to 1491
    • Inkling 2 Small
      1412
      Arena #151CI 1400 to 1424
    Runs and sources
    Kimi K3
    • max148795% CI 1483 to 1491 · 40,867 votes
    Inkling 2 Small
    • default141295% CI 1400 to 1424 · 2,668 votes
  • Arena WebDev

    Arena rating · Higher is better

    Tie, within 95% CI
    • Kimi K3
      1658
      Arena #18CI 1652 to 1664
    • Inkling 2 Small
      1646
      Arena #22CI 1627 to 1666
    Runs and sources
    Kimi K3
    • max165895% CI 1652 to 1664 · 22,405 votes
    Inkling 2 Small
    • default164695% CI 1627 to 1666 · 983 votes
  • Agent Arena

    IPS score · Higher is better

    Tie, within 95% CI
    • Kimi K3
      +0.006
      Arena #28CI -0.001 to +0.012
    • Inkling 2 Small
      +0.025
      Arena #18CI +0.010 to +0.040
    Runs and sources
    Kimi K3
    • max+0.00695% CI -0.001 to +0.012 · 16,124,377 observations
    Inkling 2 Small
    • default+0.02595% CI +0.010 to +0.040 · 1,511,880 observations
  • ARC-AGI-2

    Best published score · Higher is better

    • Kimi K3
      60.4%
      #36 of 85
    • Inkling 2 Small
      Best81.7%
      +21.3 pts ahead · #19 of 85
    Runs and sources
    Kimi K3
    • low12.4%
    • high55.0%
    • max60.4%
    Inkling 2 Small
    • xhigh81.7%
    Source:External evaluation via Epoch AIOriginal-source terms apply
  • FrontierMath-Tier-4-v2-Private

    Best published score · Higher is better

    • Kimi K3
      39.0%
      #28 of 72
    • Inkling 2 Small
      Not reported
    Runs and sources
    Kimi K3
    • max39.0%
    Inkling 2 Small

    Not reported

  • FrontierMath-Tiers-1-3-v2-Private

    Best published score · Higher is better

    • Kimi K3
      72.2%
      #26 of 87
    • Inkling 2 Small
      Not reported
    Runs and sources
    Kimi K3
    • max72.2%
    Inkling 2 Small

    Not reported

  • GPQA diamond

    Best published score · Higher is better

    • Kimi K3
      93.1%
      #21 of 161
    • Inkling 2 Small
      Not reported
    Runs and sources
    Kimi K3
    • low84.8%
    • high91.9%
    • max93.1%
    Inkling 2 Small

    Not reported

  • OTIS Mock AIME 2024-2025

    Best published score · Higher is better

    • Kimi K3
      97.2%
      #32 of 158
    • Inkling 2 Small
      Not reported
    Runs and sources
    Kimi K3
    • low68.9%
    • high93.3%
    • max97.2%
    Inkling 2 Small

    Not reported

  • SimpleQA Verified

    Best published score · Higher is better

    • Kimi K3
      50.6%
      #29 of 87
    • Inkling 2 Small
      Not reported
    Runs and sources
    Kimi K3
    • max50.6%
    Inkling 2 Small

    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.

DeepSWE 1.1 results: official leaderboard, data generated 2026-09-22. Only exact model versions in the official dataset are matched.

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
July 16, 2026
November 5, 2026
Context window
1M
1M
Native context
1M
—
Max output tokens
943,718
131,072
Knowledge cutoff
—
—
Open weights
Open weights
Closed
Parameter count
2.8T
—

API pricing · USD per 1M tokens

Input
$0.192
$0.00
Output
$16.00
$0.00
Cached input
$0.182
—
Cache write
—
—

Capabilities and modalities

Input modalities
text, image, video
text, image
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, reasoning_effort, 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, seed, stop, temperature, tools, top_p
Capabilities
vision, thinking, completion, tools
—

Architecture and availability

Architecture
kimi-k3
—
Model families
kimi-k3
—
Tokenizer
Other
Other
Instruction format
—
—
License
—
Proprietary
Providers
18
0
Provider endpoints
54
0
Ollama variants
1
0
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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