Qwen

Qwen3 32B

Tool callingStructured outputReasoning
Qwen3 32B launch post cover

Dense open Qwen model for self-hosted chat, reasoning, and coding

Context
131K
Released
1y ago
Parameters
32B
Input / 1M tokens
$0.08
Output / 1M tokens
$0.28

Sources:models.devOpenRouter

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

Other published benchmarks

EvaluationReported score and source
GPQA diamond
65.7%
Epoch AI · Qwen3-32B
Epoch AI evaluation
GPQA diamond
54.1%
Epoch AI · Qwen3-32B_none
Reasoning effort: none
Epoch AI evaluation
OTIS Mock AIME 2024-2025
66.9%
Epoch AI · Qwen3-32B
Epoch AI evaluation
OTIS Mock AIME 2024-2025
23.1%
Epoch AI · Qwen3-32B_none
Reasoning effort: none
Epoch AI evaluation

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.

Specifications

Developer
Qwen
Model family
Qwen
Type
Language model
Predecessor
—
Successor
—
Released
April 1, 2025
Model ID
qwen/qwen3-32b
Openness
Open weights
License
—
Parameters
32B
Input modalities
text
Output modalities
text
Modality
text->text
Native context
256K
Tokenizer
Qwen3
Max output tokens
16K
Knowledge cutoff
2025-04
Hugging Face
Qwen/Qwen3-32B
Source freshness
Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
Source model
alibaba/qwen3-32b
Source family
qwen
Last updated
2025-04
Knowledge cutoff
2025-04
Model context
131K
Model output limit
16K
Open weights
Yes
File attachments
No
Reasoning
Yes
Tool calling
Yes
Temperature control
Yes

Downloadable weights

Published benchmarks

BenchmarkScoreEvaluation detailsEvidence
Aider Polyglot40 · percent correct2025-05-08Source
Complete source record (JSON)
{
  "id": "alibaba/qwen3-32b",
  "name": "Qwen3 32B",
  "description": "Dense open Qwen model for self-hosted chat, reasoning, and coding",
  "family": "qwen",
  "last_updated": "2025-04",
  "knowledge": "2025-04",
  "attachment": false,
  "reasoning": true,
  "tool_call": true,
  "temperature": true,
  "modalities": {
    "input": [
      "text"
    ],
    "output": [
      "text"
    ]
  },
  "limit": {
    "context": 131072,
    "output": 16384
  },
  "benchmarks": [
    {
      "name": "Aider Polyglot",
      "score": 40,
      "source": "https://aider.chat/docs/leaderboards/",
      "metric": "percent correct",
      "date": "2025-05-08"
    }
  ],
  "release_date": "2025-04",
  "open_weights": true,
  "weights": [
    {
      "label": "Hugging Face",
      "url": "https://huggingface.co/Qwen/Qwen3-32B"
    }
  ]
}

Infrastructure

Provider availability

All providers
ProviderEndpointContextInput /M tokensOutput /M tokensCached input /M tokensCache write /M tokensUptime 1dData handling
DeepInfradeepinfra/fp841K$0.08$0.28——98.96%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

SiliconFlowsiliconflow/fp8131K$0.14$0.57——99.46%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Tenstorrenttenstorrent/fp820K$0.14$0.40$0.09—99.36%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Provider data:OpenRouter

Deployment graph

Can I run this?

Vertical Tabs only shows compatibility when it has structured evidence tying this exact model to hardware, runtime, quantization, memory use, and observed performance.

Browse hardware