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Qwen3 30B A3B Thinking (2507) vs Nemotron 3 Ultra

At a glance

July 2025 Qwen3 30B MoE model with always-on extended thinking.

82K ctx

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

203K ctx$0.60/$2.40 per M
Demos
All demos

No shared demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
Reasoning
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch AI· as of 2026-10-02
Reasoning & Knowledge
Graduate Science70.1%
Math
Competition Math70.3%
Reasoning
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch AI·OpenRouter· as of 2026-10-02
Reasoning & Knowledge
Graduate Science22%85.4%
Math
Competition Math23%86.7%
Specs
82K
Context
33K
Max output
—
Released
203K
Context
101K
Max output
Jun 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Pricing not available
Live pricing, shown before you run
Input$0.60/M tokens
Output$2.40/M tokens
Cache read$0.12/M tokens
Chat with Qwen3 30B A3B Thinking (2507)Go to model
Chat with Nemotron 3 UltraGo to model
Frequently Asked Questions: Qwen3 30B A3B Thinking (2507) vs Nemotron 3 Ultra▼

Which is better, Qwen3 30B A3B Thinking (2507) or Nemotron 3 Ultra?

▼

Both Qwen3 30B A3B Thinking (2507) 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 has a larger context window, Qwen3 30B A3B Thinking (2507) or Nemotron 3 Ultra?

▼

Nemotron 3 Ultra has a larger context window: Qwen3 30B A3B Thinking (2507) supports 82K tokens vs Nemotron 3 Ultra at 203K tokens.

What are the key differences between Qwen3 30B A3B Thinking (2507) and Nemotron 3 Ultra?

▼

Qwen3 30B A3B Thinking (2507) and Nemotron 3 Ultra have similar overall capabilities. The main differences lie in pricing, context window size, and provider-specific strengths. Use this comparison page to review all metrics side by side.

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 Qwen3 30B A3B Thinking (2507) and Nemotron 3 Ultra for free on idapt.app to see which performs better for your specific needs.

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