API cost decision in 10 seconds

GPT-4.1 Nano vs NewClaude Opus 4.7 (Fast)

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 $105 for Claude Opus 4.7 (Fast), saving $104.7 (99.7% lower).

Cost-first pickGPT-4.1 Nano
Context-first pickGPT-4.1 Nano
Sample savings$104.799.7%
10x traffic gap$1047

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 $1047. 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 pickGPT-4.1 NanoClaude Opus 4.7 (Fast)
Input-heavy / RAG5M input + 500K outputGPT-4.1 Nano$0.7$225
Balanced workload1M input + 1M outputGPT-4.1 Nano$0.5$180
Output-heavy chatbot1M input + 5M outputGPT-4.1 Nano$2.1$780
Cheaper input GPT-4.1 Nano $0.1 vs $30 / 1M

GPT-4.1 Nano is $29.9 cheaper per 1M input tokens (99.7% lower; 300x difference).

Cheaper output GPT-4.1 Nano $0.4 vs $150 / 1M

GPT-4.1 Nano is $149.6 cheaper per 1M output tokens (99.7% lower; 375x difference).

Larger context GPT-4.1 Nano 1.05M vs 1M

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

Sample workload GPT-4.1 Nano $0.3 vs $105

GPT-4.1 Nano is $104.7 cheaper on the standard workload (99.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GPT-4.1 Nano Calculating… Estimated API cost
Claude Opus 4.7 (Fast) 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 $0.3 for GPT-4.1 Nano and $105 for Claude Opus 4.7 (Fast).

Best Fit

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

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

Decision Notes
  • On the standard 1M input plus 500K output workload, GPT-4.1 Nano is estimated at $0.3 vs $105 for Claude Opus 4.7 (Fast), saving $104.7 (99.7% lower).
  • GPT-4.1 Nano is $104.7 cheaper on the standard workload (99.7% lower).
  • GPT-4.1 Nano is $29.9 cheaper per 1M input tokens (99.7% lower; 300x difference).
  • GPT-4.1 Nano is $149.6 cheaper per 1M output tokens (99.7% lower; 375x difference).
  • GPT-4.1 Nano has 47.58K more context (1.05x larger).
Head-to-Head Specs
FeatureGPT-4.1 Nano
(OpenAI)		NewClaude Opus 4.7 (Fast)
(Anthropic)
Input Price
prompt tokens per 1M		$0.1$30
Completion Price
per 1M tokens		$0.4$150
Sample Workload Cost
1M input + 500K output		$0.3$105
Context Window1.05M1M
Release Date
Popularity#73#112

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 $105 for Claude Opus 4.7 (Fast), saving $104.7 (99.7% 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
  • gpt-oss-120b (free) can replace GPT-4.1 Nano when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace GPT-4.1 Nano when lower sample workload cost matters most: $0.
  • gpt-oss-20b can replace GPT-4.1 Nano when lower sample workload cost matters most: $0.1.
  • gpt-oss-120b can replace GPT-4.1 Nano when lower sample workload cost matters most: $0.13.
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.

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OpenAI catalog

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

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Anthropic catalog

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

Open Anthropic models
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...

Claude Opus 4.7 (Fast)

Fast-mode variant of [Opus 4.7](/anthropic/claude-opus-4.7) - identical capabilities with higher output speed at premium 6x pricing. Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode