| Signal | GPT-5 | Delta | R1 Distill Llama 70B |
|---|---|---|---|
Capabilities | 100 | +67 | |
Benchmarks | 88 | +48 | |
Pricing | 90 | -9 | |
Context window size | 80 | +7 | |
Recency | 74 | +36 | |
Output Capacity | 85 | +20 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
88.2
current score
GPT-5
right now
41.2
current score
OpenAI
DeepSeek
R1 Distill Llama 70B saves you $505.00/month
That's $6060.00/year compared to GPT-5 at your current usage level of 100K calls/month.
| Metric | GPT-5 | R1 Distill Llama 70B | Winner |
|---|---|---|---|
| Overall Score | 88 | 41 | GPT-5 |
| Rank | #21 | #168 | GPT-5 |
| Quality Rank | #21 | #168 | GPT-5 |
| Adoption Rank | #21 | #168 | GPT-5 |
| Parameters | -- | 70B | -- |
| Context Window | 400K | 128K | GPT-5 |
| Pricing | $1.25/$10.00/M | $0.80/$0.80/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 33 | GPT-5 |
| Benchmarks | 88 | 40 | GPT-5 |
| Pricing | 90 | 99 | R1 Distill Llama 70B |
| Context window size | 80 | 73 | GPT-5 |
| Recency | 74 | 39 | GPT-5 |
| Output Capacity | 85 | 65 | GPT-5 |
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 88/100 (rank #21), placing it in the top 93% of all 290 models tracked.
Scores 41/100 (rank #168), placing it in the top 42% of all 290 models tracked.
GPT-5 has a 47-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
R1 Distill Llama 70B offers 86% better value per quality point. At 1M tokens/day, you'd spend $24.00/month with R1 Distill Llama 70B vs $168.75/month with GPT-5 - a $144.75 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 Distill Llama 70B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.80/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (88/100) 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
GPT-5 clearly outperforms R1 Distill Llama 70B with a significant 47-point lead. For most general use cases, GPT-5 is the stronger choice. However, R1 Distill Llama 70B may still excel in niche scenarios.
Best for Quality
GPT-5
Marginally better benchmark scores; both are excellent
Best for Cost
R1 Distill Llama 70B
86% lower pricing; better value at scale
Best for Reliability
GPT-5
Higher uptime and faster response speeds
Best for Prototyping
GPT-5
Stronger community support and better developer experience
Best for Production
GPT-5
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5 | R1 Distill Llama 70B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
DeepSeek
R1 Distill Llama 70B saves you $11.85/month
That's 83% cheaper than GPT-5 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 | GPT-5 | R1 Distill Llama 70B |
|---|---|---|
| Context Window | 400K | 128K |
| Max Output Tokens | 128,000 | 8,192 |
| Open Source | No | Yes |
| Created | Aug 7, 2025 | Jan 23, 2025 |