Pairwise benchmark snapshot · Aug 17, 2026

Grok 3 vs Llama 3.1 70B benchmark

Name: Grok 3 vs Llama 3.1 70B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Grok 3 (xAI) and Llama 3.1 70B (Meta) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, Grok 3 is ahead by 165 points (1,405 vs 1,240; lmarena (Aug 17, 2026)). On SWE-bench coding, Grok 3 resolves 51.4% versus 40.2% (swebench (Aug 17, 2026)). Llama 3.1 70B streams faster (125 tok/s) while Llama 3.1 70B is the cheaper output token ($0.4/1M). Grok 3 has the larger context window (131k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

Share Analysis:

WhatsApp Telegram X / Post LinkedIn Reddit

xAI

Grok 3

Previous xAI generation before Grok 4. Kept for grok 3 vs grok 4.

Elo 1,405$15/1M out

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Grok 3 (4)vsLlama 3.1 70B (4)

Grok 3: 4W (50%)Overall: Even matchupLlama 3.1 70B: 4W (50%)

← Grok 31 tiesLlama 3.1 70B →

Grok 3 (4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,405vs1,240

Coding Elo

—vs—

SWE-bench

51.4%vs40.2%

LiveBench

60.2%vs46.8%

GPQA Diamond

74.2%vs48%

Grok 3: 4WLlama 3.1 70B: 0W

Llama 3.1 70B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

88 tok/svs125 tok/s

Time to first token

250 msvs170 ms

Grok 3: 0WLlama 3.1 70B: 2W

Llama 3.1 70B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$15/1Mvs$0.4/1M

Input price

$3/1Mvs$0.4/1M

Context window

131kvs131k

Grok 3: 0WLlama 3.1 70B: 2W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageGrok 3 3/6

Preference Elo

Grok 3

165 pts advantage

Throughput Speed

Llama 3.1 70B

37 tok/s faster

Price Efficiency

Llama 3.1 70B

$14.60/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+13%1,405

EloHigh is better

1,240

LiveBench

High is better

+29%60.2%

LiveBenchHigh is better

46.8%

SWE-bench

High is better

+28%51.4%

SWE-benchHigh is better

40.2%

GPQA

High is better

+55%74.2%

GPQAHigh is better

48%

TTFT

Low is better

250 ms

TTFTLow is better

170 ms+47%

Speed

High is better

88 tok/s

SpeedHigh is better

125 tok/s+42%

In $

Low is better

$3/1M

In $Low is better

$0.4/1M+650%

Out $

Low is better

$15/1M

Out $Low is better

$0.4/1M+3650%

Context

High is better

131k

ContextHigh is better

131k

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 94% with Llama 3.1 70B

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Grok 3$330.00 / mo

In: $105.00Out: $225.00

Llama 3.1 70B$20.00 / mo

In: $14.00Out: $6.00

Estimated Cost Delta

Llama 3.1 70B is estimated to save $310.00/month ($3,720/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Grok 3:Pick Grok 3 when repo-level coding accuracy is the constraint.
2
Llama 3.1 70B:Pick Llama 3.1 70B when you are optimizing output cost.
3
Llama 3.1 70B:Pick Llama 3.1 70B when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGrok 3

Higher SWE-bench (51.4%).

High-volume chatLlama 3.1 70B

Lower output list price ($0.4/1M).

Voice / low-latency UILlama 3.1 70B

Lower TTFT (170 ms).

Long-document RAGGrok 3

Larger window (131k).

Screenshots / visionGrok 3

Grok 3 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Grok 3	Higher SWE-bench (51.4%).
High-volume chat	Llama 3.1 70B	Lower output list price ($0.4/1M).
Voice / low-latency UI	Llama 3.1 70B	Lower TTFT (170 ms).
Long-document RAG	Grok 3	Larger window (131k).
Screenshots / vision	Grok 3	Grok 3 is the side marked multimodal in the catalog.

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

No comments posted on this matchup yet. Be the first to share an evaluation note!

Share card

The real PNG is generated at /compare/grok-3-vs-llama-3-1-70b/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE

xAI

Grok 3

Elo 1,405

LiveBench60.2%

SWE-bench51.4%

Speed88 tok/s

Output cost$15/1M

Llama 3.1 70B

Elo 1,240

LiveBench46.8%

SWE-bench40.2%

Speed125 tok/s

Output cost$0.4/1M

Frequently Asked Questions

Which is better overall, Grok 3 or Llama 3.1 70B?: Grok 3 has the higher preference Elo in our latest snapshot (1,405). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Grok 3 or Llama 3.1 70B?: Grok 3 leads SWE-bench at 51.4% vs 40.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Llama 3.1 70B output tokens are $0.4/1M versus $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Grok 3 or Llama 3.1 70B?: Llama 3.1 70B has the lower time-to-first-token (170 ms vs 250 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Grok 3 accepts 131k tokens versus 131k.
Can I self-host either model?: Llama 3.1 70B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Grok 3 and Llama 3.1 70B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Grok 3 matchups →|All Llama 3.1 70B matchups →

Grok 3 vs Grok 4 (next grok)Llama 3.1 70B vs Llama 3.1 405B (previous llama)Llama 3.1 70B vs Llama 3.3 70B (next llama)Llama 4 Maverick vs Grok 3 Grok 4.6 vs Grok 3 Llama 4 Scout vs Grok 3

Grok 3 vs Llama 3.1 70B benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Grok 3 (4)vsLlama 3.1 70B (4)

Grok 3: 4W (50%)Overall: Even matchupLlama 3.1 70B: 4W (50%)

← Grok 31 tiesLlama 3.1 70B →

Grok 3 (4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,405vs1,240

Coding Elo

—vs—

SWE-bench

51.4%vs40.2%

LiveBench

60.2%vs46.8%

GPQA Diamond

74.2%vs48%

Grok 3: 4WLlama 3.1 70B: 0W

Llama 3.1 70B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

88 tok/svs125 tok/s

Time to first token

250 msvs170 ms

Grok 3: 0WLlama 3.1 70B: 2W

Llama 3.1 70B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$15/1Mvs$0.4/1M

Input price

$3/1Mvs$0.4/1M

Context window

131kvs131k

Grok 3: 0WLlama 3.1 70B: 2W

Recommended Workload Routing

Repo / coding agentsGrok 3

Higher SWE-bench (51.4%).

High-volume chatLlama 3.1 70B

Lower output list price ($0.4/1M).

Voice / low-latency UILlama 3.1 70B

Lower TTFT (170 ms).

Long-document RAGGrok 3

Larger window (131k).

Screenshots / visionGrok 3

Grok 3 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Grok 3	Higher SWE-bench (51.4%).
High-volume chat	Llama 3.1 70B	Lower output list price ($0.4/1M).
Voice / low-latency UI	Llama 3.1 70B	Lower TTFT (170 ms).
Long-document RAG	Grok 3	Larger window (131k).
Screenshots / vision	Grok 3	Grok 3 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Grok 3 or Llama 3.1 70B?

Grok 3 has the higher preference Elo in our latest snapshot (1,405). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Grok 3 or Llama 3.1 70B?

Grok 3 leads SWE-bench at 51.4% vs 40.2%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Llama 3.1 70B output tokens are $0.4/1M versus $15/1M. Input prices and retry rates still move the real bill.

Which is faster, Grok 3 or Llama 3.1 70B?

Llama 3.1 70B has the lower time-to-first-token (170 ms vs 250 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Grok 3 accepts 131k tokens versus 131k.

Can I self-host either model?

Llama 3.1 70B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Grok 3 and Llama 3.1 70B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.