API cost decision in 10 seconds

GPT-5.4 Nano vs GPT-5.1-Codex-Max

Pick GPT-5.4 Nano when budget is the priority.

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

Budget verdict

Pick GPT-5.4 Nano when budget is the priority.

On the standard 1M input plus 500K output workload, GPT-5.4 Nano is estimated at $0.82 vs $6.25 for GPT-5.1-Codex-Max, saving $5.42 (86.8% lower).

Cost-first pickGPT-5.4 Nano
Context-first pickBoth models
Sample savings$5.4286.8%
10x traffic gap$54.25

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $54.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

GPT-5.4 Nano stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGPT-5.4 NanoGPT-5.1-Codex-Max
Input-heavy / RAG5M input + 500K outputGPT-5.4 Nano$1.62$11.25
Balanced workload1M input + 1M outputGPT-5.4 Nano$1.45$11.25
Output-heavy chatbot1M input + 5M outputGPT-5.4 Nano$6.45$51.25
Cheaper input GPT-5.4 Nano $0.2 vs $1.25 / 1M

GPT-5.4 Nano is $1.05 cheaper per 1M input tokens (84% lower; 6.25x difference).

Cheaper output GPT-5.4 Nano $1.25 vs $10 / 1M

GPT-5.4 Nano is $8.75 cheaper per 1M output tokens (87.5% lower; 8x difference).

Larger context Tie 400K vs 400K

Both models report the same context window at 400K tokens.

Sample workload GPT-5.4 Nano $0.82 vs $6.25

GPT-5.4 Nano is $5.42 cheaper on the standard workload (86.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GPT-5.4 Nano Calculating… Estimated API cost
GPT-5.1-Codex-Max 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-5.4 Nano has the lower input price; GPT-5.4 Nano has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, GPT-5.4 Nano is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.82 for GPT-5.4 Nano and $6.25 for GPT-5.1-Codex-Max.

Best Fit

Choose GPT-5.4 Nano when you care most about lower input-token price, and lower output-token price.

Choose GPT-5.1-Codex-Max 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-5.4 Nano is estimated at $0.82 vs $6.25 for GPT-5.1-Codex-Max, saving $5.42 (86.8% lower).
  • GPT-5.4 Nano is $5.42 cheaper on the standard workload (86.8% lower).
  • GPT-5.4 Nano is $1.05 cheaper per 1M input tokens (84% lower; 6.25x difference).
  • GPT-5.4 Nano is $8.75 cheaper per 1M output tokens (87.5% lower; 8x difference).
  • Both models report the same context window at 400K tokens.
Head-to-Head Specs
FeatureGPT-5.4 Nano
(OpenAI)
GPT-5.1-Codex-Max
(OpenAI)
Input Price
prompt tokens per 1M
$0.2$1.25
Completion Price
per 1M tokens
$1.25$10
Sample Workload Cost
1M input + 500K output
$0.82$6.25
Context Window400K400K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGPT-5.4 NanoOn the standard 1M input plus 500K output workload, GPT-5.4 Nano is estimated at $0.82 vs $6.25 for GPT-5.1-Codex-Max, saving $5.42 (86.8% lower).
High-volume input processingGPT-5.4 NanoLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGPT-5.4 NanoLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTieA 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-5.4 Nano when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.
  • gpt-oss-20b can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.1.
  • gpt-oss-120b can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.13.
Larger context near this budget

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.

Open largest context models

Provider catalogs

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

Open provider hubs

OpenAI catalog

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

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GPT-5.4 Nano

GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...

GPT-5.1-Codex-Max

GPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development tasks. It is based on an updated version of the 5.1 reasoning stack and trained on agentic...