GPT-4o-mini (batch) vs Llama 3.1 70B Instruct
| Signal | GPT-4o-mini (batch) | Delta | Llama 3.1 70B Instruct |
|---|---|---|---|
Capabilities | 83 | +67 | |
Benchmarks | 74 | +2 | |
Pricing | 100 | +0 | |
Context window size | 81 | 0 | |
Recency | 0 | -- | |
Output Capacity | 67 | +5 | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
62.5
current score
Llama 3.1 70B Instruct
right now
63.6
current score
GPT-4o-mini (batch)
OpenAI
Llama 3.1 70B Instruct
Meta
GPT-4o-mini (batch) saves you $85.50/month
That's $1026.00/year compared to Llama 3.1 70B Instruct at your current usage level of 100K calls/month.
| Metric | GPT-4o-mini (batch) | Llama 3.1 70B Instruct | Winner |
|---|---|---|---|
| Overall Score | 63 | 64 | Llama 3.1 70B Instruct |
| Rank | #157 | #155 | Llama 3.1 70B Instruct |
| Quality Rank | #157 | #155 | Llama 3.1 70B Instruct |
| Adoption Rank | #157 | #155 | Llama 3.1 70B Instruct |
| Parameters | -- | 70B | -- |
| Context Window | 128K | 131K | Llama 3.1 70B Instruct |
| Pricing | $0.07/$0.30/M | $0.72/$0.72/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 17 | GPT-4o-mini (batch) |
| Benchmarks | 74 | 72 | GPT-4o-mini (batch) |
| Pricing | 100 | 99 | GPT-4o-mini (batch) |
| Context window size | 81 | 81 | Llama 3.1 70B Instruct |
| Recency | 0 | 0 | GPT-4o-mini (batch) |
| Output Capacity | 67 | 63 | GPT-4o-mini (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 63/100 (rank #157), placing it in the top 46% of all 290 models tracked.
Scores 64/100 (rank #155), placing it in the top 47% of all 290 models tracked.
With only a 1-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Choose GPT-4o-mini (batch) when you need:
- High-volume production workloads where API costs must be minimized
- Multimodal workflows that require image understanding
- Agentic applications using tool/function calling
Choose Llama 3.1 70B Instruct when you need:
- Self-hosted deployments where you need full control over the model
GPT-4o-mini (batch) offers 74% better value per quality point. At 1M tokens/day, you'd spend $5.63/month with GPT-4o-mini (batch) vs $21.60/month with Llama 3.1 70B Instruct - a $15.97 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. GPT-4o-mini (batch) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.30/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (64/100) 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-4o-mini (batch) and Llama 3.1 70B Instruct are extremely close in overall performance (only 1.1000000000000014 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
By Use Case
Best for Quality
GPT-4o-mini (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-4o-mini (batch)
74% lower pricing; better value at scale
Best for Reliability
GPT-4o-mini (batch)
Higher uptime and faster response speeds
Best for Prototyping
GPT-4o-mini (batch)
Stronger community support and better developer experience
Best for Production
GPT-4o-mini (batch)
Wider enterprise adoption and proven at scale
by OpenAI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 74% lower pricing; better value at scale
- 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 | GPT-4o-mini (batch) | Llama 3.1 70B Instruct |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
GPT-4o-mini (batch)
OpenAI
Llama 3.1 70B Instruct
Meta
GPT-4o-mini (batch) saves you $1.67/month
That's 77% cheaper than Llama 3.1 70B Instruct 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-4o-mini (batch) | Llama 3.1 70B Instruct |
|---|---|---|
| Context Window | 128K | 131K |
| Max Output Tokens | 16,384 | 8,192 |
| Open Source | No | Yes |
| Created | Jul 18, 2024 | Jul 23, 2024 |