API cost decision in 10 seconds

R1 0528 vs GPT-5.3 Chat

Pick R1 0528 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 R1 0528 when budget and context both matter.

On the standard 1M input plus 500K output workload, R1 0528 is estimated at $1.57 vs $8.75 for GPT-5.3 Chat, saving $7.17 (82% lower).

Cost-first pickR1 0528
Context-first pickR1 0528
Sample savings$7.1782%
10x traffic gap$71.75

R1 0528 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $71.75. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

R1 0528 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickR1 0528GPT-5.3 Chat
Input-heavy / RAG5M input + 500K outputR1 0528$3.58$15.75
Balanced workload1M input + 1M outputR1 0528$2.65$15.75
Output-heavy chatbot1M input + 5M outputR1 0528$11.25$71.75
Cheaper input R1 0528 $0.5 vs $1.75 / 1M

R1 0528 is $1.25 cheaper per 1M input tokens (71.4% lower; 3.5x difference).

Cheaper output R1 0528 $2.15 vs $14 / 1M

R1 0528 is $11.85 cheaper per 1M output tokens (84.6% lower; 6.51x difference).

Larger context R1 0528 163.84K vs 128K

R1 0528 has 35.84K more context (1.28x larger).

Sample workload R1 0528 $1.57 vs $8.75

R1 0528 is $7.17 cheaper on the standard workload (82% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
R1 0528 Calculating… Estimated API cost
GPT-5.3 Chat 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 0528 has the lower input price; R1 0528 has the lower output price; R1 0528 offers the larger context window. For the 1M input plus 500K output sample, R1 0528 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 $8.75 for GPT-5.3 Chat.

Best Fit

Choose R1 0528 when you care most about lower input-token price, lower output-token price, and larger context window.

Choose GPT-5.3 Chat 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, R1 0528 is estimated at $1.57 vs $8.75 for GPT-5.3 Chat, saving $7.17 (82% lower).
  • R1 0528 is $7.17 cheaper on the standard workload (82% lower).
  • R1 0528 is $1.25 cheaper per 1M input tokens (71.4% lower; 3.5x difference).
  • R1 0528 is $11.85 cheaper per 1M output tokens (84.6% lower; 6.51x difference).
  • R1 0528 has 35.84K more context (1.28x larger).
Head-to-Head Specs
FeatureR1 0528
(DeepSeek)
GPT-5.3 Chat
(OpenAI)
Input Price
prompt tokens per 1M
$0.5$1.75
Completion Price
per 1M tokens
$2.15$14
Sample Workload Cost
1M input + 500K output
$1.57$8.75
Context Window163.84K128K
Release Date
Popularity#106#113

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionR1 0528On the standard 1M input plus 500K output workload, R1 0528 is estimated at $1.57 vs $8.75 for GPT-5.3 Chat, saving $7.17 (82% lower).
High-volume input processingR1 0528Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsR1 0528Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workR1 0528A 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

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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DeepSeek catalog

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OpenAI catalog

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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-5.3 Chat

GPT-5.3 Chat is an update to ChatGPT's most-used model that makes everyday conversations smoother, more useful, and more directly helpful. It delivers more accurate answers with better contextualization and significantly...