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Llama 3.1 70B Instruct vs Grok Build 0.1

Signal-by-Signal Comparison
SignalLlama 3.1 70B InstructDeltaGrok Build 0.1
Capabilities
17
-83
100
Benchmarks
72
+72
0
Pricing
99
+1
98
Context window size
81
-5
86
Recency
0
-100
100
Output Capacity
63
-23
86
Overall Result
2 wins
of 6
4 wins
Grok Build 0.1 wins 4 of 6 signals

Score History

Score History (38 data points)
Llama 3.1 70B InstructGrok Build 0.1
Llama 3.1 70B Instruct

63.6

current score

Leader

Llama 3.1 70B Instruct

right now

Grok Build 0.1

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Llama 3.1 70B Instruct

Meta

Best Value
Per request$0.001080
Daily$3.60
Monthly$108.00
Annual$1296.00

Grok Build 0.1

xAI

Per request$0.002000
Daily$6.67
Monthly$200.00
Annual$2400.00

Llama 3.1 70B Instruct saves you $92.00/month

That's $1104.00/year compared to Grok Build 0.1 at your current usage level of 100K calls/month.

46% cheaper
Choose Llama 3.1 70B Instruct for cost optimization

Llama 3.1 70B Instruct pricing:
Input:$0.72/M tokens
Output:$0.72/M tokens
Grok Build 0.1 pricing:
Input:$1.00/M tokens
Output:$2.00/M tokens
Winner
Llama 3.1 70B Instruct

Meta

64

Composite Score

Grok Build 0.1

xAI

40

Composite Score

Signal-by-Signal Comparison
MetricLlama 3.1 70B InstructGrok Build 0.1Winner
Overall Score
64
40
Llama 3.1 70B Instruct
Rank#155#315
Llama 3.1 70B Instruct
Quality Rank#155#315
Llama 3.1 70B Instruct
Adoption Rank#155#315
Llama 3.1 70B Instruct
Parameters70B----
Context Window131K256K
Grok Build 0.1
Pricing$0.72/$0.72/M$1.00/$2.00/M--
Signal Scores
Capabilities
17
100
Grok Build 0.1
Benchmarks
72
--
Llama 3.1 70B Instruct
Pricing
99
98
Llama 3.1 70B Instruct
Context window size
81
86
Grok Build 0.1
Recency
0
100
Grok Build 0.1
Output Capacity
63
86
Grok Build 0.1
Benchmark Head-to-Head(13 benchmarks)
Llama 3.1: 0Grok Build: 0
Llama 3.1
Grok Build
Normalized 0-100%
MMLU
86%-
MMLU-Pro
62.8%-
GPQA Diamond
46.7%-
MATH-500
68%-
HumanEval
80.5%-
GSM8K
95.1%-
IFEval
83.6%-
BBH
81.2%-
ARC-Challenge
94.8%-
HellaSwag
94.8%-
Arena Elo
1198-
LiveBench
53.3%-
BigCodeBench
46.1%-
Benchmark Interpretation

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.

Llama 3.1 70B InstructCompetitive

Scores 64/100 (rank #155), placing it in the top 47% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Grok Build 0.1Entry Level

Scores 40/100 (rank #315), placing it in the top -8% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Llama 3.1 70B Instruct has a 24-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

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

Choose Grok Build 0.1 when you need:

  • Processing long documents or large codebases (256K token context)
  • Multimodal workflows that require image understanding
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Llama 3.1 70B InstructBest Value
Input cost$0.72/M tokens
Output cost$0.72/M tokens
Cost per quality point$0.023
Est. monthly (1M tokens/day)$21.60
Grok Build 0.1
Input cost$1.00/M tokens
Output cost$2.00/M tokens
Cost per quality point$0.075
Est. monthly (1M tokens/day)$45.00

Llama 3.1 70B Instruct offers 52% better value per quality point. At 1M tokens/day, you'd spend $21.60/month with Llama 3.1 70B Instruct vs $45.00/month with Grok Build 0.1 - a $23.40 monthly difference.

Latency & Speed
Llama 3.1 70B InstructFaster
Speed score0/100
Grok Build 0.1
Speed score0/100

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.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Llama 3.1 70B Instruct

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

Llama 3.1 70B Instruct

Long document analysis

Larger context window (256K tokens) can process longer documents, contracts, and research papers in a single pass

Grok Build 0.1

Batch data extraction

Lower output pricing ($0.72/M) reduces costs when processing thousands of records daily

Llama 3.1 70B Instruct

Creative writing & content

Higher overall composite score (64/100) correlates with better nuance, coherence, and style in long-form content

Llama 3.1 70B Instruct

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Grok Build 0.1
Which Should You Choose?
Our recommendation:
Llama 3.1 70B Instruct

Llama 3.1 70B Instruct clearly outperforms Grok Build 0.1 with a significant 23.6-point lead. For most general use cases, Llama 3.1 70B Instruct is the stronger choice. However, Grok Build 0.1 may still excel in niche scenarios.

by Meta

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 52% 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

by xAI

Consider for specialized use cases.

Capability Comparison
CapabilityLlama 3.1 70B InstructGrok Build 0.1
Vision (Image Input)differs
Function Callingdiffers
Streaming
JSON Modediffers
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Llama 3.1 70B Instruct

Meta

Best Value
$2.16
estimated monthly cost

Grok Build 0.1

xAI

$4.20
estimated monthly cost

Llama 3.1 70B Instruct saves you $2.04/month

That's 49% cheaper than Grok Build 0.1 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.

Parameters & Context
ParameterLlama 3.1 70B InstructGrok Build 0.1
Context Window131K256K
Max Output Tokens8,192230,400
Open SourceYesNo
CreatedJul 23, 2024May 20, 2026
Last updated: 35m ago

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