Decision support

QwQ 32B vs OLMo 2 32B

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

QwQ 32B

Alibaba

Sources:models.dev

Benchmark results

  • Arena Text

    Arena rating · Higher is better

    • QwQ 32B
      1336
      Arena #246CI 1331 to 1340
    • OLMo 2 32B
      Not reported
    Runs and sources
    QwQ 32B
    • default133695% CI 1331 to 1340 · 25,166 votes
    OLMo 2 32B

    Not reported

  • GPQA diamond

    Best published score · Higher is better

    • QwQ 32B
      65.3%
      #117 of 161
    • OLMo 2 32B
      Not reported
    Runs and sources
    QwQ 32B
    • default65.3%
    OLMo 2 32B

    Not reported

  • OTIS Mock AIME 2024-2025

    Best published score · Higher is better

    • QwQ 32B
      59.2%
      #113 of 158
    • OLMo 2 32B
      Not reported
    Runs and sources
    QwQ 32B
    • default59.2%
    OLMo 2 32B

    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.

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
March 5, 2025
March 13, 2025
Context window
131K
—
Native context
—
—
Max output tokens
8,192
—
Knowledge cutoff
2024-04
—
Open weights
Open weights
Open weights
Parameter count
32B
32.2B

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
ai-research
curated

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

To give you the best experience, we use cookies for personalization, insights, and performance. Learn more.