Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Llama 3.1 70B vs Perceptron: Perceptron Mk1 benchmark

Name: Llama 3.1 70B vs Perceptron: Perceptron Mk1 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, Llama 3.1 70B is more budget-friendly at $0.4/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Share Analysis:

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

Llama 3.1 70B

$0.39999999999999997 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

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 AdvantageLlama 3.1 70B 6/6

Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Llama 3.1 70B (8)vsPerceptron: Perceptron Mk1 (1)

Llama 3.1 70B: 8W (89%)Overall: Llama 3.1 70BPerceptron: Perceptron Mk1: 1W (11%)

← Llama 3.1 70BPerceptron: Perceptron Mk1 →

Llama 3.1 70B (4/5)

Intelligence & Reasoning

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

Preference Elo

1,240vs—

Coding Elo

—vs—

SWE-bench

40.2%vs—

LiveBench

46.8%vs—

GPQA Diamond

48%vs—

Llama 3.1 70B: 4WPerceptron: Perceptron Mk1: 0W

Llama 3.1 70B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

125 tok/svs—

Time to first token

170 msvs—

Llama 3.1 70B: 2WPerceptron: Perceptron Mk1: 0W

Llama 3.1 70B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.4/1Mvs$1.5/1M

Input price

$0.4/1Mvs$0.15/1M

Context window

131kvs33k

Llama 3.1 70B: 2WPerceptron: Perceptron Mk1: 1W

Side-by-Side Benchmark Matrix

Preference Elo

Llama 3.1 70B1,240

lmarena · Aug 17, 2026

Perceptron: Perceptron Mk1—

LiveBench

Llama 3.1 70B46.8%

livebench · Aug 17, 2026

Perceptron: Perceptron Mk1—

SWE-bench

Llama 3.1 70B40.2%

swebench · Aug 17, 2026

Perceptron: Perceptron Mk1—

GPQA Diamond

Llama 3.1 70B48%

seed-bootstrap · Aug 1, 2026

Perceptron: Perceptron Mk1—

Time to first token

Llama 3.1 70B170 ms

seed-bootstrap · Aug 1, 2026

Perceptron: Perceptron Mk1—

Output speed

Llama 3.1 70B125 tok/s

seed-bootstrap · Aug 1, 2026

Perceptron: Perceptron Mk1—

Input pricePerceptron: Perceptron Mk1 (+$0.25/1M)

Llama 3.1 70B$0.4/1M

openrouter · Aug 17, 2026

Perceptron: Perceptron Mk1$0.15/1M

openrouter · Aug 17, 2026

Output priceLlama 3.1 70B (+$1.1/1M)

Llama 3.1 70B$0.4/1M

openrouter · Aug 17, 2026

Perceptron: Perceptron Mk1$1.5/1M

openrouter · Aug 17, 2026

Context windowLlama 3.1 70B (+98k)

Llama 3.1 70B131k

openrouter · Aug 17, 2026

Perceptron: Perceptron Mk133k

openrouter · Aug 17, 2026

Benchmark	Llama 3.1 70B	Perceptron: Perceptron Mk1	Advantage Delta
Preference Elo	1,240 lmarena · Aug 17, 2026	—	—
LiveBench	46.8% livebench · Aug 17, 2026	—	—
SWE-bench	40.2% swebench · Aug 17, 2026	—	—
GPQA Diamond	48% seed-bootstrap · Aug 1, 2026	—	—
Time to first token	170 ms seed-bootstrap · Aug 1, 2026	—	—
Output speed	125 tok/s seed-bootstrap · Aug 1, 2026	—	—
Input price	$0.4/1M openrouter · Aug 17, 2026	$0.15/1M openrouter · Aug 17, 2026	Perceptron: Perceptron Mk1 (+$0.25/1M)
Output price	$0.4/1M openrouter · Aug 17, 2026	$1.5/1M openrouter · Aug 17, 2026	Llama 3.1 70B (+$1.1/1M)
Context window	131k openrouter · Aug 17, 2026	33k openrouter · Aug 17, 2026	Llama 3.1 70B (+98k)

Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 28% 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)

Llama 3.1 70B$20.00 / mo

In: $14Out: $6

Perceptron: Perceptron Mk1$27.75 / mo

In: $5.25Out: $22.5

Estimated Cost Delta

Llama 3.1 70B is estimated to save $7.75/month ($93/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Llama 3.1 70B:Pick Llama 3.1 70B when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatLlama 3.1 70B

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGLlama 3.1 70B

Larger window (131k).

Screenshots / visionPerceptron: Perceptron Mk1

Perceptron: Perceptron Mk1 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Llama 3.1 70B	Lower output list price ($0.4/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Llama 3.1 70B	Larger window (131k).
Screenshots / vision	Perceptron: Perceptron Mk1	Perceptron: Perceptron Mk1 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/llama-3-1-70b-vs-perceptron-mk1/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE

Llama 3.1 70B

Elo 1,240

LiveBench46.8%

SWE-bench40.2%

Speed125 tok/s

Output cost$0.4/1M

perceptron

Perceptron: Perceptron Mk1

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$1.5/1M

Frequently Asked Questions

Which is better overall, Llama 3.1 70B or Perceptron: Perceptron Mk1?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Llama 3.1 70B or Perceptron: Perceptron Mk1?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: Llama 3.1 70B output tokens are $0.4/1M versus $1.5/1M. Input prices and retry rates still move the real bill.
Which is faster, Llama 3.1 70B or Perceptron: Perceptron Mk1?: We do not have TTFT for both models.
Which has the larger context window?: Llama 3.1 70B accepts 131k tokens versus 33k.
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. Llama 3.1 70B and Perceptron: Perceptron Mk1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Llama 3.1 70B matchups →|All Perceptron: Perceptron Mk1 matchups →

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 Llama 3.1 70B Llama 4 Scout vs Llama 3.1 70B Claude Opus 4.5 vs Llama 3.1 70B Claude Opus 4.6 vs Llama 3.1 70B

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

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 AdvantageLlama 3.1 70B 6/6

Side-by-Side Benchmark Matrix

Preference Elo

Llama 3.1 70B1,240

lmarena · Aug 17, 2026

Perceptron: Perceptron Mk1—

LiveBench

Llama 3.1 70B46.8%

livebench · Aug 17, 2026

Perceptron: Perceptron Mk1—

SWE-bench

Llama 3.1 70B40.2%

swebench · Aug 17, 2026

Perceptron: Perceptron Mk1—

GPQA Diamond

Llama 3.1 70B48%

seed-bootstrap · Aug 1, 2026

Perceptron: Perceptron Mk1—

Time to first token

Llama 3.1 70B170 ms

seed-bootstrap · Aug 1, 2026

Perceptron: Perceptron Mk1—

Output speed

Llama 3.1 70B125 tok/s

seed-bootstrap · Aug 1, 2026

Perceptron: Perceptron Mk1—

Input pricePerceptron: Perceptron Mk1 (+$0.25/1M)

Llama 3.1 70B$0.4/1M

openrouter · Aug 17, 2026

Perceptron: Perceptron Mk1$0.15/1M

openrouter · Aug 17, 2026

Output priceLlama 3.1 70B (+$1.1/1M)

Llama 3.1 70B$0.4/1M

openrouter · Aug 17, 2026

Perceptron: Perceptron Mk1$1.5/1M

openrouter · Aug 17, 2026

Context windowLlama 3.1 70B (+98k)

Llama 3.1 70B131k

openrouter · Aug 17, 2026

Perceptron: Perceptron Mk133k

openrouter · Aug 17, 2026

Benchmark

Llama 3.1 70B

Perceptron: Perceptron Mk1

Advantage Delta

Preference Elo

1,240

lmarena · Aug 17, 2026

—

LiveBench

46.8%

livebench · Aug 17, 2026

—

SWE-bench

40.2%

swebench · Aug 17, 2026

—

GPQA Diamond

48%

seed-bootstrap · Aug 1, 2026

—

Time to first token

170 ms

seed-bootstrap · Aug 1, 2026

—

Output speed

125 tok/s

seed-bootstrap · Aug 1, 2026

—

Input price

$0.4/1M

openrouter · Aug 17, 2026

$0.15/1M

openrouter · Aug 17, 2026

Perceptron: Perceptron Mk1 (+$0.25/1M)

Output price

$0.4/1M

openrouter · Aug 17, 2026

$1.5/1M

openrouter · Aug 17, 2026

Llama 3.1 70B (+$1.1/1M)

Context window

131k

openrouter · Aug 17, 2026

33k

openrouter · Aug 17, 2026

Llama 3.1 70B (+98k)

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatLlama 3.1 70B

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGLlama 3.1 70B

Larger window (131k).

Screenshots / visionPerceptron: Perceptron Mk1

Perceptron: Perceptron Mk1 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Llama 3.1 70B	Lower output list price ($0.4/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Llama 3.1 70B	Larger window (131k).
Screenshots / vision	Perceptron: Perceptron Mk1	Perceptron: Perceptron Mk1 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Llama 3.1 70B or Perceptron: Perceptron Mk1?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Llama 3.1 70B or Perceptron: Perceptron Mk1?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Llama 3.1 70B output tokens are $0.4/1M versus $1.5/1M. Input prices and retry rates still move the real bill.

Which is faster, Llama 3.1 70B or Perceptron: Perceptron Mk1?

We do not have TTFT for both models.

Which has the larger context window?

Llama 3.1 70B accepts 131k tokens versus 33k.

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. Llama 3.1 70B and Perceptron: Perceptron Mk1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.