| Signal | Grok 4.1 Fast | Delta | Llama 3.1 70B Instruct |
|---|---|---|---|
Capabilities | 100 | +50 | |
Benchmarks | 76 | -1 | |
Pricing | 1 | +0 | |
Context window size | 100 | +19 | |
Recency | 100 | +78 | |
Output Capacity | 75 | +55 | |
| Overall Result | 5 wins | of 6 | 1 wins |
30
days ranked higher
0
days
0
days ranked higher
xAI
Meta
Grok 4.1 Fast saves you $15.00/month
That's $180.00/year compared to Llama 3.1 70B Instruct at your current usage level of 100K calls/month.
| Metric | Grok 4.1 Fast | Llama 3.1 70B Instruct | Winner |
|---|---|---|---|
| Overall Score | 87 | 60 | Grok 4.1 Fast |
| Rank | #16 | #224 | Grok 4.1 Fast |
| Quality Rank | #16 | #224 | Grok 4.1 Fast |
| Adoption Rank | #16 | #224 | Grok 4.1 Fast |
| Parameters | -- | 70B | -- |
| Context Window | 2000K | 131K | Grok 4.1 Fast |
| Pricing | $0.20/$0.50/M | $0.40/$0.40/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 50 | Grok 4.1 Fast |
| Benchmarks | 76 | 78 | Llama 3.1 70B Instruct |
| Pricing | 1 | 0 | Grok 4.1 Fast |
| Context window size | 100 | 81 | Grok 4.1 Fast |
| Recency | 100 | 22 | Grok 4.1 Fast |
| Output Capacity | 75 | 20 | Grok 4.1 Fast |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 87/100 (rank #16), placing it in the top 95% of all 290 models tracked.
Scores 60/100 (rank #224), placing it in the top 23% of all 290 models tracked.
Grok 4.1 Fast has a 27-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Grok 4.1 Fast offers 12% better value per quality point. At 1M tokens/day, you'd spend $10.50/month with Grok 4.1 Fast vs $12.00/month with Llama 3.1 70B Instruct - a $1.50 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 (2000K 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 (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
Grok 4.1 Fast clearly outperforms Llama 3.1 70B Instruct with a significant 27.000000000000007-point lead. For most general use cases, Grok 4.1 Fast is the stronger choice. However, Llama 3.1 70B Instruct may still excel in niche scenarios.
Best for Quality
Grok 4.1 Fast
Marginally better benchmark scores; both are excellent
Best for Cost
Grok 4.1 Fast
12% lower pricing; better value at scale
Best for Reliability
Grok 4.1 Fast
Higher uptime and faster response speeds
Best for Prototyping
Grok 4.1 Fast
Stronger community support and better developer experience
Best for Production
Grok 4.1 Fast
Wider enterprise adoption and proven at scale
by xAI
| Capability | Grok 4.1 Fast | Llama 3.1 70B Instruct |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
xAI
Meta
Grok 4.1 Fast saves you $0.2400/month
That's 20% 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 | Grok 4.1 Fast | Llama 3.1 70B Instruct |
|---|---|---|
| Context Window | 2M | 131K |
| Max Output Tokens | 30,000 | -- |
| Open Source | No | Yes |
| Created | Nov 19, 2025 | Jul 23, 2024 |
Grok 4.1 Fast scores 87/100 (rank #16) compared to Llama 3.1 70B Instruct's 60/100 (rank #224), giving it a 27-point advantage. Grok 4.1 Fast is the stronger overall choice, though Llama 3.1 70B Instruct may excel in specific areas like cost efficiency.
Grok 4.1 Fast is ranked #16 and Llama 3.1 70B Instruct is ranked #224 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Llama 3.1 70B Instruct is cheaper at $0.40/M output tokens vs Grok 4.1 Fast's $0.50/M output tokens - 1.3x more expensive. Input token pricing: Grok 4.1 Fast at $0.20/M vs Llama 3.1 70B Instruct at $0.40/M.
Grok 4.1 Fast has a larger context window of 2,000,000 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.