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Mercury 2.5 vs Nemotron 3 Ultra

At a glance

Inception's latest diffusion LLM and the fastest reasoning model available, producing and refining tokens in parallel instead of one at a time.

260K ctx$0.04/$0.15 per M

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

512K ctx$0.60/$3.60 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
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Cheaper95%
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Specs
260K
Context
66K
Max output
Sep 2026
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
Output96%$0.15/M tokens
Cache read98%$0.004/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 Mercury 2.5Go to model
Chat with Nemotron 3 UltraGo to model
Frequently Asked Questions: Mercury 2.5 vs Nemotron 3 Ultra▼

Which is better, Mercury 2.5 or Nemotron 3 Ultra?

▼

Both Mercury 2.5 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, Mercury 2.5 or Nemotron 3 Ultra?

▼

Mercury 2.5 has a lower blended cost. Mercury 2.5: $0.04 input / $0.15 output. Nemotron 3 Ultra: $0.60 input / $3.60 output.

Which has a larger context window, Mercury 2.5 or Nemotron 3 Ultra?

▼

Nemotron 3 Ultra has a larger context window: Mercury 2.5 supports 260K tokens vs Nemotron 3 Ultra at 512K tokens.

What are the key differences between Mercury 2.5 and Nemotron 3 Ultra?

▼

Key differences: Mercury 2.5 is significantly cheaper. 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 Mercury 2.5 and Nemotron 3 Ultra for free on idapt.app to see which performs better for your specific needs.

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