| Signal | Grok 3 | Delta | Llama 3.1 70B Instruct |
|---|---|---|---|
Capabilities | 67 | +17 | |
Benchmarks | 77 | -1 | |
Pricing | 15 | +15 | |
Context window size | 81 | -- | |
Recency | 79 | +59 | |
Output Capacity | 20 | -- | |
| Overall Result | 3 wins | of 6 | 1 wins |
7
days higher
7
days
16
days higher
xAI
Meta
Llama 3.1 70B Instruct saves you $990.00/month
That's $11880.00/year compared to Grok 3 at your current usage level of 100K calls/month.
| Metric | Grok 3 | Llama 3.1 70B Instruct | Winner |
|---|---|---|---|
| Overall Score | 77 | 77 | -- |
| Rank | #40 | #41 | Grok 3 |
| Quality Rank | #40 | #41 | Grok 3 |
| Adoption Rank | #40 | #41 | Grok 3 |
| Parameters | -- | 70B | -- |
| Context Window | 131K | 131K | -- |
| Pricing | $3.00/$15.00/M | $0.40/$0.40/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | Grok 3 |
| Benchmarks | 77 | 78 | Llama 3.1 70B Instruct |
| Pricing | 15 | 0 | Grok 3 |
| Context window size | 81 | 81 | Grok 3 |
| Recency | 79 | 20 | Grok 3 |
| Output Capacity | 20 | 20 | Grok 3 |
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%). Here's what the scores mean for these two models:
Scores 77/100 (rank #40), placing it in the top 87% of all 290 models tracked.
Scores 77/100 (rank #41), placing it in the top 86% 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.
Llama 3.1 70B Instruct offers 96% better value per quality point. At 1M tokens/day, you'd spend $12.00/month with Llama 3.1 70B Instruct vs $270.00/month with Grok 3 - a $258.00 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
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. 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 (77/100) correlates with better nuance, coherence, and style in long-form content
Grok 3 and Llama 3.1 70B Instruct are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Grok 3
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.1 70B Instruct
96% lower pricing; better value at scale
Best for Reliability
Grok 3
Higher uptime and faster response speeds
Best for Prototyping
Grok 3
Stronger community support and better developer experience
Best for Production
Grok 3
Wider enterprise adoption and proven at scale
by xAI
| Capability | Grok 3 | Llama 3.1 70B Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
xAI
Meta
Llama 3.1 70B Instruct saves you $22.20/month
That's 95% cheaper than Grok 3 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 | Grok 3 | Llama 3.1 70B Instruct |
|---|---|---|
| Context Window | 131K | 131K |
| Max Output Tokens | -- | -- |
| Open Source | No | Yes |
| Created | Jun 10, 2025 | Jul 23, 2024 |
Both Grok 3 and Llama 3.1 70B Instruct score 77/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
Grok 3 is ranked #40 and Llama 3.1 70B Instruct is ranked #41 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Llama 3.1 70B Instruct is cheaper at $0.40/M output tokens vs Grok 3's $15.00/M output tokens - 37.5x more expensive. Input token pricing: Grok 3 at $3.00/M vs Llama 3.1 70B Instruct at $0.40/M.
Grok 3 has a larger context window of 131,072 tokens compared to Llama 3.1 70B Instruct's 131,072 tokens. A larger context window means the model can process longer documents and conversations.