API cost decision in 10 seconds

NewNemotron 3 Nano Omni (free) vs Claude Opus 4.7

Pick Nemotron 3 Nano Omni (free) for lower cost; pick Claude Opus 4.7 only if the larger context window matters more.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Nemotron 3 Nano Omni (free) for lower cost; pick Claude Opus 4.7 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Nemotron 3 Nano Omni (free) is estimated at $0 vs $17.5 for Claude Opus 4.7, saving $17.5 (100% lower).

Cost-first pickNemotron 3 Nano Omni (free)
Context-first pickClaude Opus 4.7
Sample savings$17.5100%
10x traffic gap$175

Claude Opus 4.7 has more context, but Nemotron 3 Nano Omni (free) saves $17.5 on the standard workload. At 10x that traffic, the same price gap is about $175. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Nemotron 3 Nano Omni (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickNemotron 3 Nano Omni (free)Claude Opus 4.7
Input-heavy / RAG5M input + 500K outputNemotron 3 Nano Omni (free)$0$37.5
Balanced workload1M input + 1M outputNemotron 3 Nano Omni (free)$0$30
Output-heavy chatbot1M input + 5M outputNemotron 3 Nano Omni (free)$0$130
Cheaper input Nemotron 3 Nano Omni (free) $0 vs $5 / 1M

Nemotron 3 Nano Omni (free) is free for input tokens while Claude Opus 4.7 costs $5 per 1M tokens.

Cheaper output Nemotron 3 Nano Omni (free) $0 vs $25 / 1M

Nemotron 3 Nano Omni (free) is free for output tokens while Claude Opus 4.7 costs $25 per 1M tokens.

Larger context Claude Opus 4.7 256K vs 1M

Claude Opus 4.7 has 744K more context (3.91x larger).

Sample workload Nemotron 3 Nano Omni (free) $0 vs $17.5

Nemotron 3 Nano Omni (free) is free for the standard workload while the other model is estimated at $17.5.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Nemotron 3 Nano Omni (free) Calculating… Estimated API cost
Claude Opus 4.7 Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Nemotron 3 Nano Omni (free) has the lower input price; Nemotron 3 Nano Omni (free) has the lower output price; Claude Opus 4.7 offers the larger context window. For the 1M input plus 500K output sample, Nemotron 3 Nano Omni (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Nemotron 3 Nano Omni (free) and $17.5 for Claude Opus 4.7.

Best Fit

Choose Nemotron 3 Nano Omni (free) when you care most about lower input-token price, and lower output-token price.

Choose Claude Opus 4.7 when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Nemotron 3 Nano Omni (free) is estimated at $0 vs $17.5 for Claude Opus 4.7, saving $17.5 (100% lower).
  • Nemotron 3 Nano Omni (free) is free for the standard workload while the other model is estimated at $17.5.
  • Nemotron 3 Nano Omni (free) is free for input tokens while Claude Opus 4.7 costs $5 per 1M tokens.
  • Nemotron 3 Nano Omni (free) is free for output tokens while Claude Opus 4.7 costs $25 per 1M tokens.
  • Claude Opus 4.7 has 744K more context (3.91x larger).
Head-to-Head Specs
FeatureNewNemotron 3 Nano Omni (free)
(NVIDIA)
Claude Opus 4.7
(Anthropic)
Input Price
prompt tokens per 1M
$0$5
Completion Price
per 1M tokens
$0$25
Sample Workload Cost
1M input + 500K output
$0$17.5
Context Window256K1M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionNemotron 3 Nano Omni (free)On the standard 1M input plus 500K output workload, Nemotron 3 Nano Omni (free) is estimated at $0 vs $17.5 for Claude Opus 4.7, saving $17.5 (100% lower).
High-volume input processingNemotron 3 Nano Omni (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsNemotron 3 Nano Omni (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workClaude Opus 4.7A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Claude 3 Haiku can replace Claude Opus 4.7 when lower sample workload cost matters most: $0.88.
  • Claude 3.5 Haiku can replace Claude Opus 4.7 when lower sample workload cost matters most: $2.8.
  • Anthropic Claude Haiku Latest can replace Claude Opus 4.7 when lower sample workload cost matters most: $3.5.
  • Claude Haiku 4.5 can replace Claude Opus 4.7 when lower sample workload cost matters most: $3.5.
Popular competitors
  • No popular competitor is currently available.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

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NVIDIA catalog

Review all tracked NVIDIA models before deciding whether this matchup is the right shortlist.

Open NVIDIA models

Anthropic catalog

Check other Anthropic models with comparable pricing, context, or release timing.

Open Anthropic models
Nemotron 3 Nano Omni (free)

NVIDIA Nemotron™ 3 Nano Omni is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems. It accepts text, image, video, and...

Claude Opus 4.7

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...