API cost decision in 10 seconds

🔥Claude Opus 4.6 vs Nemotron Nano 9B V2 (free)

Pick Nemotron Nano 9B V2 (free) for lower cost; pick Claude Opus 4.6 only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Nemotron Nano 9B V2 (free) for lower cost; pick Claude Opus 4.6 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Nemotron Nano 9B V2 (free) is estimated at $0 vs $17.5 for Claude Opus 4.6, saving $17.5 (100% lower).

Cost-first pickNemotron Nano 9B V2 (free)
Context-first pickClaude Opus 4.6
Sample savings$17.5100%
10x traffic gap$175

Claude Opus 4.6 has more context, but Nemotron Nano 9B V2 (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 Nano 9B V2 (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickClaude Opus 4.6Nemotron Nano 9B V2 (free)
Input-heavy / RAG5M input + 500K outputNemotron Nano 9B V2 (free)$37.5$0
Balanced workload1M input + 1M outputNemotron Nano 9B V2 (free)$30$0
Output-heavy chatbot1M input + 5M outputNemotron Nano 9B V2 (free)$130$0
Cheaper input Nemotron Nano 9B V2 (free) $5 vs $0 / 1M

Nemotron Nano 9B V2 (free) is free for input tokens while Claude Opus 4.6 costs $5 per 1M tokens.

Cheaper output Nemotron Nano 9B V2 (free) $25 vs $0 / 1M

Nemotron Nano 9B V2 (free) is free for output tokens while Claude Opus 4.6 costs $25 per 1M tokens.

Larger context Claude Opus 4.6 1M vs 128K

Claude Opus 4.6 has 872K more context (7.81x larger).

Sample workload Nemotron Nano 9B V2 (free) $17.5 vs $0

Nemotron Nano 9B V2 (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.
Claude Opus 4.6 Calculating… Estimated API cost
Nemotron Nano 9B V2 (free) 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 Nano 9B V2 (free) has the lower input price; Nemotron Nano 9B V2 (free) has the lower output price; Claude Opus 4.6 offers the larger context window. For the 1M input plus 500K output sample, Nemotron Nano 9B V2 (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $17.5 for Claude Opus 4.6 and $0 for Nemotron Nano 9B V2 (free).

Best Fit

Choose Claude Opus 4.6 when you care most about larger context window.

Choose Nemotron Nano 9B V2 (free) when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Nemotron Nano 9B V2 (free) is estimated at $0 vs $17.5 for Claude Opus 4.6, saving $17.5 (100% lower).
  • Nemotron Nano 9B V2 (free) is free for the standard workload while the other model is estimated at $17.5.
  • Nemotron Nano 9B V2 (free) is free for input tokens while Claude Opus 4.6 costs $5 per 1M tokens.
  • Nemotron Nano 9B V2 (free) is free for output tokens while Claude Opus 4.6 costs $25 per 1M tokens.
  • Claude Opus 4.6 has 872K more context (7.81x larger).
Head-to-Head Specs
Feature🔥Claude Opus 4.6
(Anthropic)
Nemotron Nano 9B V2 (free)
(NVIDIA)
Input Price
prompt tokens per 1M
$5$0
Completion Price
per 1M tokens
$25$0
Sample Workload Cost
1M input + 500K output
$17.5$0
Context Window1M128K
Release Date
Popularity#18#107

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionNemotron Nano 9B V2 (free)On the standard 1M input plus 500K output workload, Nemotron Nano 9B V2 (free) is estimated at $0 vs $17.5 for Claude Opus 4.6, saving $17.5 (100% lower).
High-volume input processingNemotron Nano 9B V2 (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsNemotron Nano 9B V2 (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workClaude Opus 4.6A 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 4.6 when lower sample workload cost matters most: $0.88.
  • Claude 3.5 Haiku can replace Claude Opus 4.6 when lower sample workload cost matters most: $2.8.
  • Anthropic Claude Haiku Latest can replace Claude Opus 4.6 when lower sample workload cost matters most: $3.5.
  • Claude Haiku 4.5 can replace Claude Opus 4.6 when lower sample workload cost matters most: $3.5.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Grok 4.20 offers 2M context with $2.5 sample workload cost.
  • Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
  • GPT-5.5 offers 1.05M context with $20 sample workload cost.

Cheaper alternatives

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

Open cheapest models

Larger context alternatives

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

Open largest context models

Provider catalogs

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

Open provider hubs

Anthropic catalog

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

Open Anthropic models

NVIDIA catalog

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

Open NVIDIA models
Claude Opus 4.6

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...

Nemotron Nano 9B V2 (free)

NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and...