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R1 0528 vs Switchyard

R1 0528

DeepSeek

79#84
vs
Switchyard

NVIDIA

40#230
Signal-by-Signal Comparison
SignalR1 0528DeltaSwitchyard
Capabilities
67
+50
17
Benchmarks
81
+81
0
Pricing
98
-1000002
1000100
Context window size
83
-12
95
Recency
37
-63
100
Output Capacity
72
+52
20
Overall Result
3 wins
of 6
3 wins
It's a tie - both models win 3 signals each

Score History

Score History (38 data points)
R1 0528Switchyard
R1 0528

79.4

current score

Leader

R1 0528

right now

Switchyard

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

R1 0528

DeepSeek

Per request$0.001575
Daily$5.25
Monthly$157.50
Annual$1890.00

Switchyard

NVIDIA

Best Value
Per request$0.000000
Daily$0.00
Monthly$0.00
Annual$0.00

Switchyard saves you $157.50/month

That's $1890.00/year compared to R1 0528 at your current usage level of 100K calls/month.

100% cheaper
Choose Switchyard for cost optimization

R1 0528 pricing:
Input:$0.50/M tokens
Output:$2.15/M tokens
Switchyard pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Winner
R1 0528

DeepSeek

79

Composite Score

Switchyard

NVIDIA

40

Composite Score

Signal-by-Signal Comparison
MetricR1 0528SwitchyardWinner
Overall Score
79
40
R1 0528
Rank#84#230
R1 0528
Quality Rank#84#230
R1 0528
Adoption Rank#84#230
R1 0528
Parameters------
Context Window164K1000K
Switchyard
Pricing$0.50/$2.15/MFree--
Signal Scores
Capabilities
67
17
R1 0528
Benchmarks
81
--
R1 0528
Pricing
98
1000100
Switchyard
Context window size
83
95
Switchyard
Recency
37
100
Switchyard
Output Capacity
72
20
R1 0528
Benchmark Head-to-Head(10 benchmarks)
R1 0528: 0Switchyard: 0
R1 0528
Switchyard
Normalized 0-100%
MMLU
91.5%-
MMLU-Pro
83.4%-
GPQA Diamond
76%-
MATH-500
97.8%-
SWE-bench Verified
57.6%-
AIME 2024
84%-
IFEval
85.5%-
BBH
86.5%-
Arena Elo
1380-
LiveBench
69.5%-
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

R1 0528Strong Performer

Scores 79/100 (rank #84), placing it in the top 71% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
SwitchyardEntry Level

Scores 40/100 (rank #230), placing it in the top 21% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

R1 0528 has a 39-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose R1 0528 when you need:

  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Switchyard when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1000K token context)
Cost-Performance Analysis
R1 0528
Input cost$0.50/M tokens
Output cost$2.15/M tokens
Cost per quality point$0.033
Est. monthly (1M tokens/day)$39.75
Switchyard
Input cost$0.00/M tokens
Output cost$0.00/M tokens
Cost per quality point$0.000
Est. monthly (1M tokens/day)$0.00

Both models are priced similarly, so the decision comes down to quality and features rather than cost.

Latency & Speed
R1 0528Faster
Speed score0/100
Switchyard
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

R1 0528

Customer support chatbot

Suitable for user-facing chat with competitive response times. Switchyard also offers lower per-token costs for high-volume support

R1 0528

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Switchyard

Batch data extraction

Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily

Switchyard

Creative writing & content

Higher overall composite score (79/100) correlates with better nuance, coherence, and style in long-form content

R1 0528
Which Should You Choose?
Our recommendation:
R1 0528

R1 0528 clearly outperforms Switchyard with a significant 39.400000000000006-point lead. For most general use cases, R1 0528 is the stronger choice. However, Switchyard may still excel in niche scenarios.

R1 0528
Recommended

by DeepSeek

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by NVIDIA

  • Choose for Cost - 100% lower pricing; better value at scale
Capability Comparison
CapabilityR1 0528Switchyard
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Modediffers
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

R1 0528

DeepSeek

$3.48
estimated monthly cost

Switchyard

NVIDIA

Best Value
$0.000000
estimated monthly cost

Switchyard saves you $3.48/month

That's 100% cheaper than R1 0528 at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterR1 0528Switchyard
Context Window164K1M
Max Output Tokens32,768--
Open SourceYesNo
CreatedMay 28, 2025Sep 21, 2026
Last updated: 54m ago

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R1 0528 vs Switchyard (2026) | LM Market Cap