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o3 Mini (batch) vs R1 0528

o3 Mini (batch)

OpenAI

74#103
vs
R1 0528

DeepSeek

79#84
Signal-by-Signal Comparison
Signalo3 Mini (batch)DeltaR1 0528
Capabilities
83
+17
67
Benchmarks
88
+8
81
Pricing
98
0
98
Context window size
84
+1
83
Recency
15
-21
37
Output Capacity
80
+8
72
Overall Result
4 wins
of 6
2 wins
o3 Mini (batch) wins 4 of 6 signals

Score History

Score History (38 data points)
o3 Mini (batch)R1 0528
o3 Mini (batch)

74.3

current score

Leader

R1 0528

right now

R1 0528

79.4

current score

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

o3 Mini (batch)

OpenAI

Per request$0.001650
Daily$5.50
Monthly$165.00
Annual$1980.00

R1 0528

DeepSeek

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

R1 0528 saves you $7.50/month

That's $90.00/year compared to o3 Mini (batch) at your current usage level of 100K calls/month.

5% cheaper
Choose R1 0528 for cost optimization

o3 Mini (batch) pricing:
Input:$0.55/M tokens
Output:$2.20/M tokens
R1 0528 pricing:
Input:$0.50/M tokens
Output:$2.15/M tokens
o3 Mini (batch)

OpenAI

74

Composite Score

Winner
R1 0528

DeepSeek

79

Composite Score

Signal-by-Signal Comparison
Metrico3 Mini (batch)R1 0528Winner
Overall Score
74
79
R1 0528
Rank#103#84
R1 0528
Quality Rank#103#84
R1 0528
Adoption Rank#103#84
R1 0528
Parameters------
Context Window200K164K
o3 Mini (batch)
Pricing$0.55/$2.20/M$0.50/$2.15/M--
Signal Scores
Capabilities
83
67
o3 Mini (batch)
Benchmarks
88
81
o3 Mini (batch)
Pricing
98
98
R1 0528
Context window size
84
83
o3 Mini (batch)
Recency
15
37
R1 0528
Output Capacity
80
72
o3 Mini (batch)
Benchmark Head-to-Head(12 benchmarks)
o3 Mini: 6R1 0528: 4
o3 Mini
R1 0528
Normalized 0-100%
MMLU
86.9%91.5%
MMLU-Pro
82.5%83.4%
GPQA Diamond
79.7%76%
MATH-500
97.9%97.8%
SWE-bench Verified
49.3%57.6%
AIME 2024
87.3%84%
IFEval
90.2%85.5%
BBH
88.5%86.5%
Arena Elo
13711380
LiveBench
71.5%69.5%
HLE
20.3%-
BigCodeBench
33.1%-
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.

o3 Mini (batch)Strong Performer

Scores 74/100 (rank #103), placing it in the top 65% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
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

R1 0528 has a 5-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose o3 Mini (batch) when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose R1 0528 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
o3 Mini (batch)
Input cost$0.55/M tokens
Output cost$2.20/M tokens
Cost per quality point$0.037
Est. monthly (1M tokens/day)$41.25
R1 0528Best Value
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

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

Latency & Speed
o3 Mini (batch)Faster
Speed score0/100
R1 0528
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

o3 Mini (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. R1 0528 also offers lower per-token costs for high-volume support

o3 Mini (batch)

Long document analysis

Larger context window (200K tokens) can process longer documents, contracts, and research papers in a single pass

o3 Mini (batch)

Batch data extraction

Lower output pricing ($2.15/M) reduces costs when processing thousands of records daily

R1 0528

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 has a moderate advantage with a 5.1000000000000085-point lead in composite score. It wins on more signal dimensions, but o3 Mini (batch) has specific strengths that could make it the better choice for certain workflows.

by OpenAI

  • 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
R1 0528
Recommended

by DeepSeek

  • Choose for Cost - 4% lower pricing; better value at scale
Capability Comparison
Capabilityo3 Mini (batch)R1 0528
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

o3 Mini (batch)

OpenAI

$3.63
estimated monthly cost

R1 0528

DeepSeek

Best Value
$3.48
estimated monthly cost

R1 0528 saves you $0.1500/month

That's 4% cheaper than o3 Mini (batch) 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
Parametero3 Mini (batch)R1 0528
Context Window200K164K
Max Output Tokens100,00032,768
Open SourceNoYes
CreatedJan 31, 2025May 28, 2025
Last updated: 42m ago

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o3 Mini (batch) vs R1 0528 (2026) | LM Market Cap