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Qwen: Qwen3 4B (free)
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Match confidence: UnmatchedSource type: openrouter_only
Context window
41.0K
Arena overall rank
—
Input price
$0.000 / 1M
Output price
$0.000 / 1M
Identifiers & provenance
- Primary ID
- qwen/qwen3-4b:free
- OpenRouter ID
- qwen/qwen3-4b:free
- Canonical slug
- qwen/qwen3-4b-04-28
Source semantics
- Arena rank is a human-preference leaderboard signal, not a universal truth metric.
- OpenRouter usage/popularity reflects adoption/traffic, not benchmark quality.
- Pricing fields may differ by provider and can include extra modes beyond prompt/completion.
Read more on Methodology & data sources.
Description
Qwen3-4B is a 4 billion parameter dense language model from the Qwen3 series, designed to support both general-purpose and reasoning-intensive tasks. It introduces a dual-mode architecture—thinking and non-thinking—allowing dynamic switching between high-precision logical reasoning and efficient dialogue generation. This makes it well-suited for multi-turn chat, instruction following, and complex agent workflows.
Raw fields snapshot
{
"id": "qwen/qwen3-4b:free",
"name": "Qwen: Qwen3 4B (free)",
"description": "Qwen3-4B is a 4 billion parameter dense language model from the Qwen3 series, designed to support both general-purpose and reasoning-intensive tasks. It introduces a dual-mode architecture—thinking and non-thinking—allowing dynamic switching between high-precision logical reasoning and efficient dialogue generation. This makes it well-suited for multi-turn chat, instruction following, and complex agent workflows.",
"created": 1746031104,
"canonical_slug": "qwen/qwen3-4b-04-28",
"hugging_face_id": "Qwen/Qwen3-4B",
"source_type": "openrouter_only",
"context_length": 40960,
"max_completion_tokens": null,
"is_moderated": false,
"architecture": {
"modality": "text->text",
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"tokenizer": "Qwen3",
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"output_modalities": [
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"modality": "text->text",
"tokenizer": "Qwen3",
"instruct_type": "qwen3",
"supported_parameters": [
"frequency_penalty",
"include_reasoning",
"max_tokens",
"presence_penalty",
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"default_parameters": {},
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"top_provider": {
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},
"pricing": {
"prompt": "0",
"completion": "0"
},
"PPM": {
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"completion": 0
},
"openrouter_raw": {
"id": "qwen/qwen3-4b:free",
"canonical_slug": "qwen/qwen3-4b-04-28",
"hugging_face_id": "Qwen/Qwen3-4B",
"name": "Qwen: Qwen3 4B (free)",
"created": 1746031104,
"description": "Qwen3-4B is a 4 billion parameter dense language model from the Qwen3 series, designed to support both general-purpose and reasoning-intensive tasks. It introduces a dual-mode architecture—thinking and non-thinking—allowing dynamic switching between high-precision logical reasoning and efficient dialogue generation. This makes it well-suited for multi-turn chat, instruction following, and complex agent workflows.",
"context_length": 40960,
"architecture": {
"modality": "text->text",
"input_modalities": [
"text"
],
"output_modalities": [
"text"
],
"tokenizer": "Qwen3",
"instruct_type": "qwen3"
},
"pricing": {
"prompt": "0",
"completion": "0"
},
"top_provider": {
"context_length": 40960,
"max_completion_tokens": null,
"is_moderated": false
},
"per_request_limits": null,
"supported_parameters": [
"frequency_penalty",
"include_reasoning",
"max_tokens",
"presence_penalty",
"reasoning",
"response_format",
"stop",
"structured_outputs",
"temperature",
"tool_choice",
"tools",
"top_k",
"top_p"
],
"default_parameters": {},
"expiration_date": null
}
}