API cost decision in 10 seconds

R1 vs GPT-5.2-Codex

Pick R1 for lower cost; pick GPT-5.2-Codex 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 R1 for lower cost; pick GPT-5.2-Codex only if the larger context window matters more.

On the standard 1M input plus 500K output workload, R1 is estimated at $1.95 vs $8.75 for GPT-5.2-Codex, saving $6.8 (77.7% lower).

Cost-first pickR1
Context-first pickGPT-5.2-Codex
Sample savings$6.877.7%
10x traffic gap$68

GPT-5.2-Codex has more context, but R1 saves $6.8 on the standard workload. At 10x that traffic, the same price gap is about $68. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

R1 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickR1GPT-5.2-Codex
Input-heavy / RAG5M input + 500K outputR1$4.75$15.75
Balanced workload1M input + 1M outputR1$3.2$15.75
Output-heavy chatbot1M input + 5M outputR1$13.2$71.75
Cheaper input R1 $0.7 vs $1.75 / 1M

R1 is $1.05 cheaper per 1M input tokens (60% lower; 2.5x difference).

Cheaper output R1 $2.5 vs $14 / 1M

R1 is $11.5 cheaper per 1M output tokens (82.1% lower; 5.6x difference).

Larger context GPT-5.2-Codex 163.84K vs 400K

GPT-5.2-Codex has 236.16K more context (2.44x larger).

Sample workload R1 $1.95 vs $8.75

R1 is $6.8 cheaper on the standard workload (77.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
R1 Calculating… Estimated API cost
GPT-5.2-Codex 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

R1 has the lower input price; R1 has the lower output price; GPT-5.2-Codex offers the larger context window. For the 1M input plus 500K output sample, R1 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.95 for R1 and $8.75 for GPT-5.2-Codex.

Best Fit

Choose R1 when you care most about lower input-token price, and lower output-token price.

Choose GPT-5.2-Codex when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, R1 is estimated at $1.95 vs $8.75 for GPT-5.2-Codex, saving $6.8 (77.7% lower).
  • R1 is $6.8 cheaper on the standard workload (77.7% lower).
  • R1 is $1.05 cheaper per 1M input tokens (60% lower; 2.5x difference).
  • R1 is $11.5 cheaper per 1M output tokens (82.1% lower; 5.6x difference).
  • GPT-5.2-Codex has 236.16K more context (2.44x larger).
Head-to-Head Specs
FeatureR1
(DeepSeek)
GPT-5.2-Codex
(OpenAI)
Input Price
prompt tokens per 1M
$0.7$1.75
Completion Price
per 1M tokens
$2.5$14
Sample Workload Cost
1M input + 500K output
$1.95$8.75
Context Window163.84K400K
Release Date
Popularity#140#145

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionR1On the standard 1M input plus 500K output workload, R1 is estimated at $1.95 vs $8.75 for GPT-5.2-Codex, saving $6.8 (77.7% lower).
High-volume input processingR1Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsR1Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.2-CodexA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
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-5.4 offers 1.05M context with $10 sample workload cost.

Cheaper alternatives

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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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DeepSeek catalog

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OpenAI catalog

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R1

DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....

GPT-5.2-Codex

GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....