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Qwen2.5 7B vs Nemotron 3 Ultra

At a glance

Compact 7B model from Qwen 2.5 for efficient deployment.

33K ctx$0.04/$0.10 per M

NVIDIA's open frontier reasoning model for orchestration, coding, and deep research.

512K ctx$0.60/$3.60 per M
Agent Demos
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AI Output
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Benchmarks
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Specs
33K
Context
16K
Max output
Oct 2024
Released
512K
Context
16K
Max output
Jun 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input93%$0.04/M tokens
Output97%$0.10/M tokens
Live pricing, shown before you run
Input$0.60/M tokens
Output$3.60/M tokens
Cache read$0.20/M tokens
Chat with Qwen2.5 7BGo to model
Chat with Nemotron 3 UltraGo to model
Frequently Asked Questions: Qwen2.5 7B vs Nemotron 3 Ultra▼

Which is better, Qwen2.5 7B or Nemotron 3 Ultra?

▼

Both Qwen2.5 7B and Nemotron 3 Ultra are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.

Which is cheaper, Qwen2.5 7B or Nemotron 3 Ultra?

▼

Qwen2.5 7B has a lower blended cost. Qwen2.5 7B: $0.04 input / $0.10 output. Nemotron 3 Ultra: $0.60 input / $3.60 output.

Which has a larger context window, Qwen2.5 7B or Nemotron 3 Ultra?

▼

Nemotron 3 Ultra has a larger context window: Qwen2.5 7B supports 33K tokens vs Nemotron 3 Ultra at 512K tokens.

What are the key differences between Qwen2.5 7B and Nemotron 3 Ultra?

▼

Key differences: Qwen2.5 7B is significantly cheaper; only Nemotron 3 Ultra offers extended reasoning mode. Compare full specs on this page.

Which model should I choose for my use case?

▼

If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Qwen2.5 7B and Nemotron 3 Ultra for free on idapt.app to see which performs better for your specific needs.

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