GPT-4 Turbo vs Llama 3.1 70B Instruct
| Signal | GPT-4 Turbo | Delta | Llama 3.1 70B Instruct |
|---|---|---|---|
Capabilities | 67 | +17 | |
Benchmarks | 70 | -5 | |
Pricing | 70 | -30 | |
Context window size | 73 | 0 | |
Recency | 0 | -1 | |
Output Capacity | 60 | -10 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
67
current score
GPT-4 Turbo
right now
66.9
current score
GPT-4 Turbo
OpenAI
Llama 3.1 70B Instruct
Meta
Llama 3.1 70B Instruct saves you $2440.00/month
That's $29280.00/year compared to GPT-4 Turbo at your current usage level of 100K calls/month.
| Metric | GPT-4 Turbo | Llama 3.1 70B Instruct | Winner |
|---|---|---|---|
| Overall Score | 67 | 67 | GPT-4 Turbo |
| Rank | #119 | #120 | GPT-4 Turbo |
| Quality Rank | #119 | #120 | GPT-4 Turbo |
| Adoption Rank | #119 | #120 | GPT-4 Turbo |
| Parameters | -- | 70B | -- |
| Context Window | 128K | 131K | Llama 3.1 70B Instruct |
| Pricing | $10.00/$30.00/M | $0.40/$0.40/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | GPT-4 Turbo |
| Benchmarks | 70 | 75 | Llama 3.1 70B Instruct |
| Pricing | 70 | 100 | Llama 3.1 70B Instruct |
| Context window size | 73 | 73 | Llama 3.1 70B Instruct |
| Recency | 0 | 1 | Llama 3.1 70B Instruct |
| Output Capacity | 60 | 70 | Llama 3.1 70B Instruct |
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 67/100 (rank #119), placing it in the top 59% of all 290 models tracked.
Scores 67/100 (rank #120), placing it in the top 59% of all 290 models tracked.
With only a 0-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-4 Turbo when you need:
- Multimodal workflows that require image understanding
Choose Llama 3.1 70B Instruct when you need:
- High-volume production workloads where API costs must be minimized
- Self-hosted deployments where you need full control over the model
Llama 3.1 70B Instruct offers 98% better value per quality point. At 1M tokens/day, you'd spend $12.00/month with Llama 3.1 70B Instruct vs $600.00/month with GPT-4 Turbo - a $588.00 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. Llama 3.1 70B Instruct 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 ($0.40/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (67/100) 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-4 Turbo and Llama 3.1 70B Instruct are extremely close in overall performance (only 0.09999999999999432 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
By Use Case
Best for Quality
GPT-4 Turbo
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.1 70B Instruct
98% lower pricing; better value at scale
Best for Reliability
GPT-4 Turbo
Higher uptime and faster response speeds
Best for Prototyping
GPT-4 Turbo
Stronger community support and better developer experience
Best for Production
GPT-4 Turbo
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 | GPT-4 Turbo | Llama 3.1 70B Instruct |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
GPT-4 Turbo
OpenAI
Llama 3.1 70B Instruct
Meta
Llama 3.1 70B Instruct saves you $52.80/month
That's 98% cheaper than GPT-4 Turbo 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-4 Turbo | Llama 3.1 70B Instruct |
|---|---|---|
| Context Window | 128K | 131K |
| Max Output Tokens | 4,096 | 16,384 |
| Open Source | No | Yes |
| Created | Apr 9, 2024 | Jul 23, 2024 |