API cost decision in 10 seconds

🔥Claude Opus 4.7 vs GPT-4.1 Nano

Pick GPT-4.1 Nano when budget and context both matter.

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

Budget verdict

Pick GPT-4.1 Nano when budget and context both matter.

On the standard 1M input plus 500K output workload, GPT-4.1 Nano is estimated at $0.3 vs $17.5 for Claude Opus 4.7, saving $17.2 (98.3% lower).

Cost-first pickGPT-4.1 Nano
Context-first pickGPT-4.1 Nano
Sample savings$17.298.3%
10x traffic gap$172

GPT-4.1 Nano is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $172. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

GPT-4.1 Nano stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickClaude Opus 4.7GPT-4.1 Nano
Input-heavy / RAG5M input + 500K outputGPT-4.1 Nano$37.5$0.7
Balanced workload1M input + 1M outputGPT-4.1 Nano$30$0.5
Output-heavy chatbot1M input + 5M outputGPT-4.1 Nano$130$2.1
Cheaper input GPT-4.1 Nano $5 vs $0.1 / 1M

GPT-4.1 Nano is $4.9 cheaper per 1M input tokens (98% lower; 50x difference).

Cheaper output GPT-4.1 Nano $25 vs $0.4 / 1M

GPT-4.1 Nano is $24.6 cheaper per 1M output tokens (98.4% lower; 62.5x difference).

Larger context GPT-4.1 Nano 1M vs 1.05M

GPT-4.1 Nano has 47.58K more context (1.05x larger).

Sample workload GPT-4.1 Nano $17.5 vs $0.3

GPT-4.1 Nano is $17.2 cheaper on the standard workload (98.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Claude Opus 4.7 Calculating… Estimated API cost
GPT-4.1 Nano 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

GPT-4.1 Nano has the lower input price; GPT-4.1 Nano has the lower output price; GPT-4.1 Nano offers the larger context window. For the 1M input plus 500K output sample, GPT-4.1 Nano 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 4.7 and $0.3 for GPT-4.1 Nano.

Best Fit

Choose Claude Opus 4.7 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose GPT-4.1 Nano when you care most about lower input-token price, lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, GPT-4.1 Nano is estimated at $0.3 vs $17.5 for Claude Opus 4.7, saving $17.2 (98.3% lower).
  • GPT-4.1 Nano is $17.2 cheaper on the standard workload (98.3% lower).
  • GPT-4.1 Nano is $4.9 cheaper per 1M input tokens (98% lower; 50x difference).
  • GPT-4.1 Nano is $24.6 cheaper per 1M output tokens (98.4% lower; 62.5x difference).
  • GPT-4.1 Nano has 47.58K more context (1.05x larger).
Head-to-Head Specs
Feature🔥Claude Opus 4.7
(Anthropic)		GPT-4.1 Nano
(OpenAI)
Input Price
prompt tokens per 1M		$5$0.1
Completion Price
per 1M tokens		$25$0.4
Sample Workload Cost
1M input + 500K output		$17.5$0.3
Context Window1M1.05M
Release Date
Popularity#3#73

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGPT-4.1 NanoOn the standard 1M input plus 500K output workload, GPT-4.1 Nano is estimated at $0.3 vs $17.5 for Claude Opus 4.7, saving $17.2 (98.3% lower).
High-volume input processingGPT-4.1 NanoLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGPT-4.1 NanoLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-4.1 NanoA 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.
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.

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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

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Anthropic catalog

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

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OpenAI catalog

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

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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...

GPT-4.1 Nano

For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...