o3 (batch) vs R1 0528
| Signal | o3 (batch) | Delta | R1 0528 |
|---|---|---|---|
Capabilities | 100 | +33 | |
Benchmarks | 88 | +8 | |
Pricing | 96 | -2 | |
Context window size | 84 | +1 | |
Recency | 38 | -8 | |
Output Capacity | 80 | +8 | |
| Overall Result | 4 wins | of 6 | 2 wins |
Score History
86.7
current score
o3 (batch)
right now
79.4
current score
o3 (batch)
OpenAI
R1 0528
DeepSeek
R1 0528 saves you $142.50/month
That's $1710.00/year compared to o3 (batch) at your current usage level of 100K calls/month.
| Metric | o3 (batch) | R1 0528 | Winner |
|---|---|---|---|
| Overall Score | 87 | 79 | o3 (batch) |
| Rank | #61 | #88 | o3 (batch) |
| Quality Rank | #61 | #88 | o3 (batch) |
| Adoption Rank | #61 | #88 | o3 (batch) |
| Parameters | -- | -- | -- |
| Context Window | 200K | 164K | o3 (batch) |
| Pricing | $1.00/$4.00/M | $0.50/$2.15/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | o3 (batch) |
| Benchmarks | 88 | 81 | o3 (batch) |
| Pricing | 96 | 98 | R1 0528 |
| Context window size | 84 | 83 | o3 (batch) |
| Recency | 38 | 45 | R1 0528 |
| Output Capacity | 80 | 72 | o3 (batch) |
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.
Scores 87/100 (rank #61), placing it in the top 79% of all 290 models tracked.
Scores 79/100 (rank #88), placing it in the top 70% of all 290 models tracked.
o3 (batch) has a 7-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Choose o3 (batch) when you need:
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
Choose R1 0528 when you need:
- High-volume production workloads where API costs must be minimized
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
R1 0528 offers 47% better value per quality point. At 1M tokens/day, you'd spend $39.75/month with R1 0528 vs $75.00/month with o3 (batch) - a $35.25 monthly difference.
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.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. R1 0528 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (200K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.15/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (87/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
o3 (batch) has a moderate advantage with a 7.299999999999997-point lead in composite score. It wins on more signal dimensions, but R1 0528 has specific strengths that could make it the better choice for certain workflows.
By Use Case
Best for Quality
o3 (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
R1 0528
47% lower pricing; better value at scale
Best for Reliability
o3 (batch)
Higher uptime and faster response speeds
Best for Prototyping
o3 (batch)
Stronger community support and better developer experience
Best for Production
o3 (batch)
Wider enterprise adoption and proven at scale
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
| Capability | o3 (batch) | R1 0528 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
o3 (batch)
OpenAI
R1 0528
DeepSeek
R1 0528 saves you $3.12/month
That's 47% cheaper than o3 (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.
| Parameter | o3 (batch) | R1 0528 |
|---|---|---|
| Context Window | 200K | 164K |
| Max Output Tokens | 100,000 | 32,768 |
| Open Source | No | Yes |
| Created | Apr 16, 2025 | May 28, 2025 |