Skip to main content

Models Deploy Pricing Leaderboards

Track, rank, and compare every AI model in the world.

Platform

Models
Deploy
Leaderboards
Compare
News
Marketplace
Workspace
Deployments
Discover Watchlists
Pricing

Categories

LLMs
Image Gen
Vision
Multimodal
Embeddings
Speech
Video
Code
Browser Agents
Specialized

Company

About
Roadmap
Contact
FAQ
Providers
API
Terms
Privacy

© 2026 AI Market Cap. All rights reserved.

Qwen2.5-32B-Instruct by Qwen | AI Market Cap

Qwen2.5-32B-Instruct

#1539Large Language ModelsOpen Weights

Q

Qwen

Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models in these domains.

Running this yourself: likely needs a rented cloud gpu.

Model updates refreshed3h agoSep 16, 2026news + changelog

Website View Updates View Plan

Rates & subscription access

View full pricing details

Tracked access rates

Live access is not confirmed for this model. No current purchase price is advertised.

Related provider subscriptions

No current subscription pricing is tracked for this model.

Confirm this specific model, usage limits, and billing terms with the provider. A subscription does not automatically include API credits.

No login needed to compare. Prices are in USD; provider charges are separate from AI Market Cap plans. Context length, caching, tools, taxes, and regional terms can change the final cost. Open weights do not mean free hosting.

38.3

Quality Score

---

Arena ELO

33B

Parameters

131K

Context

Evidence profile

How complete is this record?

This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.

82%

coverage

Strong evidence

18 of 22 public signals

Technical profile100%

Similar Models

deepseek-r1#350

DeepSeek-R1#204

Discussion (0)

Sign in to join the discussion

Loading comments...

2.2M

Downloads

359

Likes

Sep 2024

Released

5/5 signals

Evaluation75%

3/4 signals

Access & cost80%

4/5 signals

Adoption75%

3/4 signals

Provenance75%

3/4 signals

Research-backed technical record

Parameters

33B

Training compute

Not reported

Dataset scale

Not reported

Base model

Not reported

Gaps we are still tracking

verified pricing

Metadata sources

Benchmarks

19

high

Open Source

1

medium

What Changed Recently

Recent launch, pricing, benchmark, and API signals linked to this model or its provider.

Benchmarks2d ago

Qwen/Qwen2.5-32B — Open LLM Leaderboard #411

Avg: 38.0 | IFEval: 40.8 | BBH: 54.0 | MATH: 35.6 | GPQA: 21.6 | MMLU-PRO: 53.4

Benchmarks2d ago

Qwen/Qwen2.5-32B-Instruct — Open LLM Leaderboard #22

Avg: 46.6 | IFEval: 83.5 | BBH: 56.5 | MATH: 62.5 | GPQA: 11.7 | MMLU-PRO: 51.9

Benchmarks & Rankings19

Leaderboard2d ago

Qwen/Qwen2.5-32B — Open LLM Leaderboard #411

Avg: 38.0 | IFEval: 40.8 | BBH: 54.0 | MATH: 35.6 | GPQA: 21.6 | MMLU-PRO: 53.4

#benchmark#open-llm-leaderboard#🟢 pretrained

Other

ollama-libraryQwenopen_sourceopen sourceToday

Qwen2.5-32B-Instruct is now available on Ollama

76.8

DeepSeek-R1-0528#408

DeepSeek·Unknown

deepseek-v3#375

DeepSeek-V3#216

Benchmarks3d ago

Qwen/Qwen2.5-32B — Open LLM Leaderboard #411

Avg: 38.0 | IFEval: 40.8 | BBH: 54.0 | MATH: 35.6 | GPQA: 21.6 | MMLU-PRO: 53.4

Benchmarks3d ago

Qwen/Qwen2.5-32B-Instruct — Open LLM Leaderboard #22

Avg: 46.6 | IFEval: 83.5 | BBH: 56.5 | MATH: 62.5 | GPQA: 11.7 | MMLU-PRO: 51.9

Benchmarks4d ago

Qwen/Qwen2.5-32B — Open LLM Leaderboard #411

Avg: 38.0 | IFEval: 40.8 | BBH: 54.0 | MATH: 35.6 | GPQA: 21.6 | MMLU-PRO: 53.4

Leaderboard2d ago

Qwen/Qwen2.5-32B-Instruct — Open LLM Leaderboard #22

Avg: 46.6 | IFEval: 83.5 | BBH: 56.5 | MATH: 62.5 | GPQA: 11.7 | MMLU-PRO: 51.9

#benchmark#open-llm-leaderboard#💬 chat models (RLHF, DPO, IFT, ...)

Leaderboard3d ago

Qwen/Qwen2.5-32B — Open LLM Leaderboard #411

Avg: 38.0 | IFEval: 40.8 | BBH: 54.0 | MATH: 35.6 | GPQA: 21.6 | MMLU-PRO: 53.4

#benchmark#open-llm-leaderboard#🟢 pretrained

Leaderboard3d ago

Qwen/Qwen2.5-32B-Instruct — Open LLM Leaderboard #22

Avg: 46.6 | IFEval: 83.5 | BBH: 56.5 | MATH: 62.5 | GPQA: 11.7 | MMLU-PRO: 51.9

#benchmark#open-llm-leaderboard#💬 chat models (RLHF, DPO, IFT, ...)

Leaderboard4d ago

Qwen/Qwen2.5-32B — Open LLM Leaderboard #411

Avg: 38.0 | IFEval: 40.8 | BBH: 54.0 | MATH: 35.6 | GPQA: 21.6 | MMLU-PRO: 53.4

#benchmark#open-llm-leaderboard#🟢 pretrained

Leaderboard4d ago

Qwen/Qwen2.5-32B-Instruct — Open LLM Leaderboard #22

Avg: 46.6 | IFEval: 83.5 | BBH: 56.5 | MATH: 62.5 | GPQA: 11.7 | MMLU-PRO: 51.9

#benchmark#open-llm-leaderboard#💬 chat models (RLHF, DPO, IFT, ...)

Leaderboard6d ago

Qwen/Qwen2.5-32B — Open LLM Leaderboard #411

Avg: 38.0 | IFEval: 40.8 | BBH: 54.0 | MATH: 35.6 | GPQA: 21.6 | MMLU-PRO: 53.4

#benchmark#open-llm-leaderboard#🟢 pretrained

Leaderboard6d ago

Qwen/Qwen2.5-32B-Instruct — Open LLM Leaderboard #22

Avg: 46.6 | IFEval: 83.5 | BBH: 56.5 | MATH: 62.5 | GPQA: 11.7 | MMLU-PRO: 51.9

#benchmark#open-llm-leaderboard#💬 chat models (RLHF, DPO, IFT, ...)

Leaderboard6d ago

Qwen/Qwen2.5-32B — Open LLM Leaderboard #411

Avg: 38.0 | IFEval: 40.8 | BBH: 54.0 | MATH: 35.6 | GPQA: 21.6 | MMLU-PRO: 53.4

#benchmark#open-llm-leaderboard#🟢 pretrained

Leaderboard6d ago

Qwen/Qwen2.5-32B-Instruct — Open LLM Leaderboard #22

Avg: 46.6 | IFEval: 83.5 | BBH: 56.5 | MATH: 62.5 | GPQA: 11.7 | MMLU-PRO: 51.9

#benchmark#open-llm-leaderboard#💬 chat models (RLHF, DPO, IFT, ...)

Leaderboard1w ago

Qwen/Qwen2.5-32B — Open LLM Leaderboard #411

Avg: 38.0 | IFEval: 40.8 | BBH: 54.0 | MATH: 35.6 | GPQA: 21.6 | MMLU-PRO: 53.4

#benchmark#open-llm-leaderboard#🟢 pretrained

Leaderboard1w ago

Qwen/Qwen2.5-32B-Instruct — Open LLM Leaderboard #22

Avg: 46.6 | IFEval: 83.5 | BBH: 56.5 | MATH: 62.5 | GPQA: 11.7 | MMLU-PRO: 51.9

#benchmark#open-llm-leaderboard#💬 chat models (RLHF, DPO, IFT, ...)

Leaderboard1w ago

Qwen/Qwen2.5-32B — Open LLM Leaderboard #411

Avg: 38.0 | IFEval: 40.8 | BBH: 54.0 | MATH: 35.6 | GPQA: 21.6 | MMLU-PRO: 53.4

#benchmark#open-llm-leaderboard#🟢 pretrained

Leaderboard1w ago

Qwen/Qwen2.5-32B-Instruct — Open LLM Leaderboard #22

Avg: 46.6 | IFEval: 83.5 | BBH: 56.5 | MATH: 62.5 | GPQA: 11.7 | MMLU-PRO: 51.9

#benchmark#open-llm-leaderboard#💬 chat models (RLHF, DPO, IFT, ...)

Leaderboard1w ago

Qwen/Qwen2.5-32B — Open LLM Leaderboard #411

Avg: 38.0 | IFEval: 40.8 | BBH: 54.0 | MATH: 35.6 | GPQA: 21.6 | MMLU-PRO: 53.4

#benchmark#open-llm-leaderboard#🟢 pretrained

Leaderboard1w ago

Qwen/Qwen2.5-32B-Instruct — Open LLM Leaderboard #22

Avg: 46.6 | IFEval: 83.5 | BBH: 56.5 | MATH: 62.5 | GPQA: 11.7 | MMLU-PRO: 51.9

#benchmark#open-llm-leaderboard#💬 chat models (RLHF, DPO, IFT, ...)

Leaderboard1w ago

Qwen/Qwen2.5-32B — Open LLM Leaderboard #411

Avg: 38.0 | IFEval: 40.8 | BBH: 54.0 | MATH: 35.6 | GPQA: 21.6 | MMLU-PRO: 53.4

#benchmark#open-llm-leaderboard#🟢 pretrained

Leaderboard1w ago

Qwen/Qwen2.5-32B-Instruct — Open LLM Leaderboard #22

Avg: 46.6 | IFEval: 83.5 | BBH: 56.5 | MATH: 62.5 | GPQA: 11.7 | MMLU-PRO: 51.9

#benchmark#open-llm-leaderboard#💬 chat models (RLHF, DPO, IFT, ...)

Leaderboard1w ago

Qwen/Qwen2.5-32B — Open LLM Leaderboard #411

Avg: 38.0 | IFEval: 40.8 | BBH: 54.0 | MATH: 35.6 | GPQA: 21.6 | MMLU-PRO: 53.4

#benchmark#open-llm-leaderboard#🟢 pretrained

Qwen2.5-32B-Instruct is now available through local Ollama runtime. 32K context window listed. Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support.

#deployability#ollama#qwen