Decision support

DR Tulu 8B vs Kimi K2 Thinking Turbo

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

    • DR Tulu 8B
      Not reported
    • Kimi K2 Thinking Turbo
      1430
      Arena #118CI 1427 to 1433
    Runs and sources
    DR Tulu 8B

    Not reported

    Kimi K2 Thinking Turbo
    • default143095% CI 1427 to 1433 · 62,955 votes
  • Arena WebDev

    Arena rating · Higher is better

    • DR Tulu 8B
      Not reported
    • Kimi K2 Thinking Turbo
      1322
      Arena #134CI 1314 to 1329
    Runs and sources
    DR Tulu 8B

    Not reported

    Kimi K2 Thinking Turbo
    • default132295% CI 1314 to 1329 · 12,957 votes
  • GPQA diamond

    Best published score · Higher is better

    • DR Tulu 8B
      Not reported
    • Kimi K2 Thinking Turbo
      84.2%
      #74 of 161
    Runs and sources
    DR Tulu 8B

    Not reported

    Kimi K2 Thinking Turbo
    • default84.2%
  • OTIS Mock AIME 2024-2025

    Best published score · Higher is better

    • DR Tulu 8B
      Not reported
    • Kimi K2 Thinking Turbo
      83.1%
      #82 of 158
    Runs and sources
    DR Tulu 8B

    Not reported

    Kimi K2 Thinking Turbo
    • default83.1%

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.

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
November 18, 2025
November 6, 2025
Context window
—
262K
Native context
—
—
Max output tokens
—
262,144
Knowledge cutoff
—
2024-08
Open weights
Open weights
Open weights
Parameter count
8B
—

API pricing · USD per 1M tokens

Input
—
—
Output
—
—
Cached input
—
—
Cache write
—
—

Capabilities and modalities

Input modalities
text
text
Output modalities
text
text
Tool calling
—
Supported
Reasoning option
—
Supported
Supported options
—
tools, reasoning, temperature
Capabilities
—
—

Architecture and availability

Architecture
—
—
Model families
—
—
Tokenizer
—
—
Instruction format
—
—
License
Apache 2.0
—
Providers
0
0
Provider endpoints
0
0
Ollama variants
0
0
Metadata source
curated
ai-research

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

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