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

Llama 3.1 70B vs Relace: Relace Search benchmark

Name: Llama 3.1 70B vs Relace: Relace Search 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 5/6

Head-to-Head Comparison

Overall Matchup Breakdown

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

Llama 3.1 70B (8)vsRelace: Relace Search (1)

Llama 3.1 70B: 8W (89%)Overall: Llama 3.1 70BRelace: Relace Search: 1W (11%)

← Llama 3.1 70BRelace: Relace Search →

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: 4WRelace: Relace Search: 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: 2WRelace: Relace Search: 0W

Llama 3.1 70B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.4/1Mvs$3/1M

Input price

$0.4/1Mvs$1/1M

Context window

131kvs256k

Llama 3.1 70B: 2WRelace: Relace Search: 1W

Side-by-Side Benchmark Matrix

Preference Elo

Llama 3.1 70B1,240

lmarena · Aug 17, 2026

Relace: Relace Search—

LiveBench

Llama 3.1 70B46.8%

livebench · Aug 17, 2026

Relace: Relace Search—

SWE-bench

Llama 3.1 70B40.2%

swebench · Aug 17, 2026

Relace: Relace Search—

GPQA Diamond

Llama 3.1 70B48%

seed-bootstrap · Aug 1, 2026

Relace: Relace Search—

Time to first token

Llama 3.1 70B170 ms

seed-bootstrap · Aug 1, 2026

Relace: Relace Search—

Output speed

Llama 3.1 70B125 tok/s

seed-bootstrap · Aug 1, 2026

Relace: Relace Search—

Input priceLlama 3.1 70B (+$0.6/1M)

Llama 3.1 70B$0.4/1M

openrouter · Aug 17, 2026

Relace: Relace Search$1/1M

openrouter · Aug 17, 2026

Output priceLlama 3.1 70B (+$2.6/1M)

Llama 3.1 70B$0.4/1M

openrouter · Aug 17, 2026

Relace: Relace Search$3/1M

openrouter · Aug 17, 2026

Context windowRelace: Relace Search (+125k)

Llama 3.1 70B131k

openrouter · Aug 17, 2026

Relace: Relace Search256k

openrouter · Aug 17, 2026

Benchmark	Llama 3.1 70B	Relace: Relace Search	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	$1/1M openrouter · Aug 17, 2026	Llama 3.1 70B (+$0.6/1M)
Output price	$0.4/1M openrouter · Aug 17, 2026	$3/1M openrouter · Aug 17, 2026	Llama 3.1 70B (+$2.6/1M)
Context window	131k openrouter · Aug 17, 2026	256k openrouter · Aug 17, 2026	Relace: Relace Search (+125k)

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 75% 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

Relace: Relace Search$80.00 / mo

In: $35Out: $45

Estimated Cost Delta

Llama 3.1 70B is estimated to save $60.00/month ($720/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 RAGRelace: Relace Search

Larger window (256k).

Screenshots / visionRelace: Relace Search

Relace: Relace Search 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	Relace: Relace Search	Larger window (256k).
Screenshots / vision	Relace: Relace Search	Relace: Relace Search is the side marked multimodal in the catalog.

Community Sentiment

Cast Your Matchup Vote

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Community Discussions (0)

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

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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

relace

Relace: Relace Search

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$3/1M

Frequently Asked Questions

Which is better overall, Llama 3.1 70B or Relace: Relace Search?: 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 Relace: Relace Search?: 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 $3/1M. Input prices and retry rates still move the real bill.
Which is faster, Llama 3.1 70B or Relace: Relace Search?: We do not have TTFT for both models.
Which has the larger context window?: Relace: Relace Search accepts 256k 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. Llama 3.1 70B and Relace: Relace Search 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 Relace: Relace Search 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 5/6

Side-by-Side Benchmark Matrix

Preference Elo

Llama 3.1 70B1,240

lmarena · Aug 17, 2026

Relace: Relace Search—

LiveBench

Llama 3.1 70B46.8%

livebench · Aug 17, 2026

Relace: Relace Search—

SWE-bench

Llama 3.1 70B40.2%

swebench · Aug 17, 2026

Relace: Relace Search—

GPQA Diamond

Llama 3.1 70B48%

seed-bootstrap · Aug 1, 2026

Relace: Relace Search—

Time to first token

Llama 3.1 70B170 ms

seed-bootstrap · Aug 1, 2026

Relace: Relace Search—

Output speed

Llama 3.1 70B125 tok/s

seed-bootstrap · Aug 1, 2026

Relace: Relace Search—

Input priceLlama 3.1 70B (+$0.6/1M)

Llama 3.1 70B$0.4/1M

openrouter · Aug 17, 2026

Relace: Relace Search$1/1M

openrouter · Aug 17, 2026

Output priceLlama 3.1 70B (+$2.6/1M)

Llama 3.1 70B$0.4/1M

openrouter · Aug 17, 2026

Relace: Relace Search$3/1M

openrouter · Aug 17, 2026

Context windowRelace: Relace Search (+125k)

Llama 3.1 70B131k

openrouter · Aug 17, 2026

Relace: Relace Search256k

openrouter · Aug 17, 2026

Benchmark

Llama 3.1 70B

Relace: Relace Search

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

$1/1M

openrouter · Aug 17, 2026

Llama 3.1 70B (+$0.6/1M)

Output price

$0.4/1M

openrouter · Aug 17, 2026

$3/1M

openrouter · Aug 17, 2026

Llama 3.1 70B (+$2.6/1M)

Context window

131k

openrouter · Aug 17, 2026

256k

openrouter · Aug 17, 2026

Relace: Relace Search (+125k)

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 RAGRelace: Relace Search

Larger window (256k).

Screenshots / visionRelace: Relace Search

Relace: Relace Search 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	Relace: Relace Search	Larger window (256k).
Screenshots / vision	Relace: Relace Search	Relace: Relace Search is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Llama 3.1 70B or Relace: Relace Search?

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 Relace: Relace Search?

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 $3/1M. Input prices and retry rates still move the real bill.

Which is faster, Llama 3.1 70B or Relace: Relace Search?

We do not have TTFT for both models.

Which has the larger context window?

Relace: Relace Search accepts 256k 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. Llama 3.1 70B and Relace: Relace Search Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.