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Qwen

Qwen2.5 7B

Legacy$AffordableRun locally
Qwen
CompareChat

Compact 7B model from Qwen 2.5 for efficient deployment. Good performance across text generation and reasoning tasks at small scale. Superseded by Qwen3 8B.

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Qwen2.5 7B is somewhat expensive at $0.10/M tokens input and $0.20/M tokens output. The model supports a 33K context window.

Best forCost-effective
Replaced by
QwenQwen3 8B
See the full deprecation timeline

Benchmarks

CodingInsufficient data
AgenticInsufficient data
Sources:Epoch AI·OpenRouter· as of 2026-10-02

Category Rankings

Math
#79of 121
Reasoning
#102of 123

Specifications

Vision
Audio
Reasoning
Dense
Architecture
7B
Parameters
33K
Context
29K
Max output
4.7 GB-8.1 GB
Local download
8.0 GB-12 GB
Local RAM

Performance

Providers

Run locally

Run Qwen2.5 7B on your own computer with the Local AI Engine for free, with no rate limits and no third-party AI provider involved. idapt installs it and routes chat to your hardware automatically.

Download
4.7 GB-8.1 GB
Recommended RAM
8.0 GB-12 GB

ollama pull qwen2.5:7b-instruct-q4_K_M

Misc

October 16, 2024
Released
Same family
QwenQwen2.5 VL 32BQwenQwen2.5 VL 72BQwenQwen2.5 72BQwenQwen2.5 Coder 32BQwenQwen2.5 Coder 7BQwenQwen2.5 VL 7B
CompareChat with Qwen2.5 7B

Compare with

OpenAIGPT 6 Astravs Qwen2.5 7BOpenAIGPT 6.1 Sol Provs Qwen2.5 7BOpenAIGPT 6.1 Solvs Qwen2.5 7BOpenAIGPT 6 Lunavs Qwen2.5 7BAnthropicClaude Fable 5.1vs Qwen2.5 7BAnthropicClaude Opus 5.5vs Qwen2.5 7BAnthropicClaude Sonnet 5.5vs Qwen2.5 7BGoogleGemini 3.8 Flashvs Qwen2.5 7BGoogleGemini 4 Argonvs Qwen2.5 7BGoogleGemma 4 31Bvs Qwen2.5 7BxAIGrok 4.7vs Qwen2.5 7BxAIGrok Build 0.1vs Qwen2.5 7BMetaMuse Spark Openvs Qwen2.5 7BMetaMuse Wondervs Qwen2.5 7BDeepSeekDeepSeek V4 Pro (0813)vs Qwen2.5 7BDeepSeekDeepSeek V4.1 Flash 1017vs Qwen2.5 7BMiniMaxMiniMax M3vs Qwen2.5 7BMoonshotAIKimi K3vs Qwen2.5 7BMoonshotAIKimi K2.7 Codevs Qwen2.5 7BZhipu AIGLM 5.3vs Qwen2.5 7BZhipu AIGLM 5.3 Flashvs Qwen2.5 7BQwenQwen3.8 Max (0902)vs Qwen2.5 7BQwenQwen3 Coder Nextvs Qwen2.5 7BNVIDIANemotron 3 Ultravs Qwen2.5 7BNVIDIANemotron 3.5 Super VLvs Qwen2.5 7B
Frequently Asked Questions about Qwen2.5 7B▼

When was Qwen2.5 7B released?

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Qwen2.5 7B was released on October 16, 2024.

Who created Qwen2.5 7B?

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Qwen2.5 7B was created by Qwen.

How much does Qwen2.5 7B cost?

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Qwen2.5 7B costs $0.10/M input tokens and $0.20/M output tokens.

What is Qwen2.5 7B API pricing?

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The Qwen2.5 7B API is priced at $0.10 per million input tokens and $0.20 per million output tokens. You can access Qwen2.5 7B through idapt.app alongside 200+ other AI models in one workspace.

Is Qwen2.5 7B a reasoning model?

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No, Qwen2.5 7B is not a reasoning model. It responds directly without an extended internal thinking step. For tasks requiring deep chain-of-thought reasoning, consider models like Claude, o-series from OpenAI, or Gemini Thinking.

Does Qwen2.5 7B support image or vision input?

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No, Qwen2.5 7B does not currently support image or vision input. It is a text-only model.

Does Qwen2.5 7B support audio?

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No, Qwen2.5 7B does not support audio input.

What is the context window of Qwen2.5 7B?

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Qwen2.5 7B has a context window of 33K tokens, meaning it can process approximately 24,576 words of context at once.

Is Qwen2.5 7B open source?

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Qwen2.5 7B is a proprietary model developed by Qwen. The model weights and training data are not publicly available.

Where can I use Qwen2.5 7B?

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You can chat with Qwen2.5 7B on idapt.app — no separate API key required. idapt is an AI workspace with 200+ models, agents, computers, and tasks. You can also access Qwen2.5 7B through Qwen's own API or platform.

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