API cost decision in 10 seconds

R1 0528 vs GPT-5.1-Codex-Mini

Pick GPT-5.1-Codex-Mini 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-5.1-Codex-Mini when budget and context both matter.

On the standard 1M input plus 500K output workload, GPT-5.1-Codex-Mini is estimated at $1.25 vs $1.57 for R1 0528, saving $0.32 (20.6% lower).

Cost-first pickGPT-5.1-Codex-Mini
Context-first pickGPT-5.1-Codex-Mini
Sample savings$0.3220.6%
10x traffic gap$3.25

GPT-5.1-Codex-Mini is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $3.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

GPT-5.1-Codex-Mini stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickR1 0528GPT-5.1-Codex-Mini
Input-heavy / RAG5M input + 500K outputGPT-5.1-Codex-Mini$3.58$2.25
Balanced workload1M input + 1M outputGPT-5.1-Codex-Mini$2.65$2.25
Output-heavy chatbot1M input + 5M outputGPT-5.1-Codex-Mini$11.25$10.25
Cheaper input GPT-5.1-Codex-Mini $0.5 vs $0.25 / 1M

GPT-5.1-Codex-Mini is $0.25 cheaper per 1M input tokens (50% lower; 2x difference).

Cheaper output GPT-5.1-Codex-Mini $2.15 vs $2 / 1M

GPT-5.1-Codex-Mini is $0.15 cheaper per 1M output tokens (7% lower; 1.07x difference).

Larger context GPT-5.1-Codex-Mini 163.84K vs 400K

GPT-5.1-Codex-Mini has 236.16K more context (2.44x larger).

Sample workload GPT-5.1-Codex-Mini $1.57 vs $1.25

GPT-5.1-Codex-Mini is $0.32 cheaper on the standard workload (20.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
R1 0528 Calculating… Estimated API cost
GPT-5.1-Codex-Mini 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-5.1-Codex-Mini has the lower input price; GPT-5.1-Codex-Mini has the lower output price; GPT-5.1-Codex-Mini offers the larger context window. For the 1M input plus 500K output sample, GPT-5.1-Codex-Mini is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.57 for R1 0528 and $1.25 for GPT-5.1-Codex-Mini.

Best Fit

Choose R1 0528 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose GPT-5.1-Codex-Mini 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-5.1-Codex-Mini is estimated at $1.25 vs $1.57 for R1 0528, saving $0.32 (20.6% lower).
  • GPT-5.1-Codex-Mini is $0.32 cheaper on the standard workload (20.6% lower).
  • GPT-5.1-Codex-Mini is $0.25 cheaper per 1M input tokens (50% lower; 2x difference).
  • GPT-5.1-Codex-Mini is $0.15 cheaper per 1M output tokens (7% lower; 1.07x difference).
  • GPT-5.1-Codex-Mini has 236.16K more context (2.44x larger).
Head-to-Head Specs
FeatureR1 0528
(DeepSeek)
GPT-5.1-Codex-Mini
(OpenAI)
Input Price
prompt tokens per 1M
$0.5$0.25
Completion Price
per 1M tokens
$2.15$2
Sample Workload Cost
1M input + 500K output
$1.57$1.25
Context Window163.84K400K
Release Date
Popularity#106#141

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGPT-5.1-Codex-MiniOn the standard 1M input plus 500K output workload, GPT-5.1-Codex-Mini is estimated at $1.25 vs $1.57 for R1 0528, saving $0.32 (20.6% lower).
High-volume input processingGPT-5.1-Codex-MiniLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGPT-5.1-Codex-MiniLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.1-Codex-MiniA 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

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

DeepSeek catalog

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

Open DeepSeek models

OpenAI catalog

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

Open OpenAI models
R1 0528

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) 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...

GPT-5.1-Codex-Mini

GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex