API cost decision in 10 seconds

R1 0528 vs NewClaude Opus 4.7 (Fast)

Pick R1 0528 for lower cost; pick Claude Opus 4.7 (Fast) 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 0528 for lower cost; pick Claude Opus 4.7 (Fast) only if the larger context window matters more.

On the standard 1M input plus 500K output workload, R1 0528 is estimated at $1.57 vs $105 for Claude Opus 4.7 (Fast), saving $103.42 (98.5% lower).

Cost-first pickR1 0528
Context-first pickClaude Opus 4.7 (Fast)
Sample savings$103.4298.5%
10x traffic gap$1034.25

Claude Opus 4.7 (Fast) has more context, but R1 0528 saves $103.42 on the standard workload. At 10x that traffic, the same price gap is about $1034.25. 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 0528Claude Opus 4.7 (Fast)
Input-heavy / RAG5M input + 500K outputR1 0528$3.58$225
Balanced workload1M input + 1M outputR1 0528$2.65$180
Output-heavy chatbot1M input + 5M outputR1 0528$11.25$780
Cheaper input R1 0528 $0.5 vs $30 / 1M

R1 0528 is $29.5 cheaper per 1M input tokens (98.3% lower; 60x difference).

Cheaper output R1 0528 $2.15 vs $150 / 1M

R1 0528 is $147.85 cheaper per 1M output tokens (98.6% lower; 69.8x difference).

Larger context Claude Opus 4.7 (Fast) 163.84K vs 1M

Claude Opus 4.7 (Fast) has 836.16K more context (6.1x larger).

Sample workload R1 0528 $1.57 vs $105

R1 0528 is $103.42 cheaper on the standard workload (98.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
R1 0528 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

R1 0528 has the lower input price; R1 0528 has the lower output price; Claude Opus 4.7 (Fast) 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 $105 for Claude Opus 4.7 (Fast).

Best Fit

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

Choose Claude Opus 4.7 (Fast) when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, R1 0528 is estimated at $1.57 vs $105 for Claude Opus 4.7 (Fast), saving $103.42 (98.5% lower).
  • R1 0528 is $103.42 cheaper on the standard workload (98.5% lower).
  • R1 0528 is $29.5 cheaper per 1M input tokens (98.3% lower; 60x difference).
  • R1 0528 is $147.85 cheaper per 1M output tokens (98.6% lower; 69.8x difference).
  • Claude Opus 4.7 (Fast) has 836.16K more context (6.1x larger).
Head-to-Head Specs
FeatureR1 0528
(DeepSeek)
NewClaude Opus 4.7 (Fast)
(Anthropic)
Input Price
prompt tokens per 1M
$0.5$30
Completion Price
per 1M tokens
$2.15$150
Sample Workload Cost
1M input + 500K output
$1.57$105
Context Window163.84K1M
Release Date
Popularity#106#112

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 $105 for Claude Opus 4.7 (Fast), saving $103.42 (98.5% 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 workClaude Opus 4.7 (Fast)A 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-5.5 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.

Open provider hubs

DeepSeek catalog

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

Open DeepSeek models

Anthropic catalog

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

Open Anthropic 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...

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