API cost decision in 10 seconds

NewCoBuddy (free) vs R1 0528

Pick CoBuddy (free) for lower cost; pick R1 0528 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 CoBuddy (free) for lower cost; pick R1 0528 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, CoBuddy (free) is estimated at $0 vs $1.57 for R1 0528, saving $1.57 (100% lower).

Cost-first pickCoBuddy (free)
Context-first pickR1 0528
Sample savings$1.57100%
10x traffic gap$15.75

R1 0528 has more context, but CoBuddy (free) saves $1.57 on the standard workload. At 10x that traffic, the same price gap is about $15.75. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

CoBuddy (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickCoBuddy (free)R1 0528
Input-heavy / RAG5M input + 500K outputCoBuddy (free)$0$3.58
Balanced workload1M input + 1M outputCoBuddy (free)$0$2.65
Output-heavy chatbot1M input + 5M outputCoBuddy (free)$0$11.25
Cheaper input CoBuddy (free) $0 vs $0.5 / 1M

CoBuddy (free) is free for input tokens while R1 0528 costs $0.5 per 1M tokens.

Cheaper output CoBuddy (free) $0 vs $2.15 / 1M

CoBuddy (free) is free for output tokens while R1 0528 costs $2.15 per 1M tokens.

Larger context R1 0528 131.07K vs 163.84K

R1 0528 has 32.77K more context (1.25x larger).

Sample workload CoBuddy (free) $0 vs $1.57

CoBuddy (free) is free for the standard workload while the other model is estimated at $1.57.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
CoBuddy (free) Calculating… Estimated API cost
R1 0528 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

CoBuddy (free) has the lower input price; CoBuddy (free) has the lower output price; R1 0528 offers the larger context window. For the 1M input plus 500K output sample, CoBuddy (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for CoBuddy (free) and $1.57 for R1 0528.

Best Fit

Choose CoBuddy (free) when you care most about lower input-token price, and lower output-token price.

Choose R1 0528 when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, CoBuddy (free) is estimated at $0 vs $1.57 for R1 0528, saving $1.57 (100% lower).
  • CoBuddy (free) is free for the standard workload while the other model is estimated at $1.57.
  • CoBuddy (free) is free for input tokens while R1 0528 costs $0.5 per 1M tokens.
  • CoBuddy (free) is free for output tokens while R1 0528 costs $2.15 per 1M tokens.
  • R1 0528 has 32.77K more context (1.25x larger).
Head-to-Head Specs
FeatureNewCoBuddy (free)
(Baidu Qianfan)
R1 0528
(DeepSeek)
Input Price
prompt tokens per 1M
$0$0.5
Completion Price
per 1M tokens
$0$2.15
Sample Workload Cost
1M input + 500K output
$0$1.57
Context Window131.07K163.84K
Release Date
Popularity#83#106

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionCoBuddy (free)On the standard 1M input plus 500K output workload, CoBuddy (free) is estimated at $0 vs $1.57 for R1 0528, saving $1.57 (100% lower).
High-volume input processingCoBuddy (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsCoBuddy (free)Lower 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.

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Provider catalogs

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Baidu Qianfan catalog

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DeepSeek catalog

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CoBuddy (free)

CoBuddy is a code generation model from Baidu, optimized for coding tasks and AI Agent workflows. It features high inference throughput and low end-to-end latency, with native support for tool...

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...