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

OpenAI: GPT-5 Nano vs Llama 3.1 70B benchmark

Name: OpenAI: GPT-5 Nano vs Llama 3.1 70B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, OpenAI: GPT-5 Nano 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:

OpenAI

OpenAI: GPT-5 Nano

Auto-discovered from OpenRouter (openai/gpt-5-nano). Preview until a second source matches.

$0.39999999999999997/1M out

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

OpenAI: GPT-5 Nano

$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 4/6

Head-to-Head Comparison

Overall Matchup Breakdown

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

OpenAI: GPT-5 Nano (2)vsLlama 3.1 70B (6)

OpenAI: GPT-5 Nano: 2W (25%)Overall: Llama 3.1 70BLlama 3.1 70B: 6W (75%)

← OpenAI: GPT-5 Nano1 tiesLlama 3.1 70B →

Llama 3.1 70B (4/5)

Intelligence & Reasoning

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

Preference Elo

—vs1,240

Coding Elo

—vs—

SWE-bench

—vs40.2%

LiveBench

—vs46.8%

GPQA Diamond

—vs48%

OpenAI: GPT-5 Nano: 0WLlama 3.1 70B: 4W

Llama 3.1 70B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs125 tok/s

Time to first token

—vs170 ms

OpenAI: GPT-5 Nano: 0WLlama 3.1 70B: 2W

OpenAI: GPT-5 Nano (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.4/1Mvs$0.4/1M

Input price

$0.05/1Mvs$0.4/1M

Context window

400kvs131k

OpenAI: GPT-5 Nano: 2WLlama 3.1 70B: 0W

Side-by-Side Benchmark Matrix

Preference Elo

OpenAI: GPT-5 Nano—

Llama 3.1 70B1,240

lmarena · Aug 17, 2026

LiveBench

OpenAI: GPT-5 Nano—

Llama 3.1 70B46.8%

livebench · Aug 17, 2026

SWE-bench

OpenAI: GPT-5 Nano—

Llama 3.1 70B40.2%

swebench · Aug 17, 2026

GPQA Diamond

OpenAI: GPT-5 Nano—

Llama 3.1 70B48%

seed-bootstrap · Aug 1, 2026

Time to first token

OpenAI: GPT-5 Nano—

Llama 3.1 70B170 ms

seed-bootstrap · Aug 1, 2026

Output speed

OpenAI: GPT-5 Nano—

Llama 3.1 70B125 tok/s

seed-bootstrap · Aug 1, 2026

Input priceOpenAI: GPT-5 Nano (+$0.35/1M)

OpenAI: GPT-5 Nano$0.05/1M

openrouter · Aug 17, 2026

Llama 3.1 70B$0.4/1M

openrouter · Aug 17, 2026

Output price

OpenAI: GPT-5 Nano$0.4/1M

openrouter · Aug 17, 2026

Llama 3.1 70B$0.4/1M

openrouter · Aug 17, 2026

Context windowOpenAI: GPT-5 Nano (+269k)

OpenAI: GPT-5 Nano400k

openrouter · Aug 17, 2026

Llama 3.1 70B131k

openrouter · Aug 17, 2026

Benchmark	OpenAI: GPT-5 Nano	Llama 3.1 70B	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	$0.05/1M openrouter · Aug 17, 2026	$0.4/1M openrouter · Aug 17, 2026	OpenAI: GPT-5 Nano (+$0.35/1M)
Output price	$0.4/1M openrouter · Aug 17, 2026	$0.4/1M openrouter · Aug 17, 2026	—
Context window	400k openrouter · Aug 17, 2026	131k openrouter · Aug 17, 2026	OpenAI: GPT-5 Nano (+269k)

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 61% with OpenAI: GPT-5 Nano

Monthly Volume50M tokens/mo

Quick Presets:

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

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

OpenAI: GPT-5 Nano$7.75 / mo

In: $1.75Out: $6

Llama 3.1 70B$20.00 / mo

In: $14Out: $6

Estimated Cost Delta

OpenAI: GPT-5 Nano is estimated to save $12.25/month ($147/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
OpenAI: GPT-5 Nano:Pick OpenAI: GPT-5 Nano when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatOpenAI: GPT-5 Nano

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI: GPT-5 Nano

Larger window (400k).

Screenshots / visionLlama 3.1 70B

Llama 3.1 70B 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	OpenAI: GPT-5 Nano	Lower output list price ($0.4/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	OpenAI: GPT-5 Nano	Larger window (400k).
Screenshots / vision	Llama 3.1 70B	Llama 3.1 70B 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

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CompareLLM Matrix

Verified head-to-head card

LIVE

OpenAI

OpenAI: GPT-5 Nano

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.4/1M

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, OpenAI: GPT-5 Nano or Llama 3.1 70B?: 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, OpenAI: GPT-5 Nano or Llama 3.1 70B?: 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?: OpenAI: GPT-5 Nano output tokens are $0.4/1M versus $0.4/1M. Input prices and retry rates still move the real bill.
Which is faster, OpenAI: GPT-5 Nano or Llama 3.1 70B?: We do not have TTFT for both models.
Which has the larger context window?: OpenAI: GPT-5 Nano accepts 400k 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. OpenAI: GPT-5 Nano 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 OpenAI: GPT-5 Nano matchups →|All Llama 3.1 70B matchups →

Llama 3.1 70B vs Llama 3.1 405B (previous llama)Llama 3.1 70B vs Llama 3.3 70B (next llama)GPT-5 vs Llama 3.1 70B Llama 4 Maverick vs Llama 3.1 70B GPT-4.5 Orion vs Llama 3.1 70B GPT-5.6 Sol 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 4/6

Side-by-Side Benchmark Matrix

Preference Elo

OpenAI: GPT-5 Nano—

Llama 3.1 70B1,240

lmarena · Aug 17, 2026

LiveBench

OpenAI: GPT-5 Nano—

Llama 3.1 70B46.8%

livebench · Aug 17, 2026

SWE-bench

OpenAI: GPT-5 Nano—

Llama 3.1 70B40.2%

swebench · Aug 17, 2026

GPQA Diamond

OpenAI: GPT-5 Nano—

Llama 3.1 70B48%

seed-bootstrap · Aug 1, 2026

Time to first token

OpenAI: GPT-5 Nano—

Llama 3.1 70B170 ms

seed-bootstrap · Aug 1, 2026

Output speed

OpenAI: GPT-5 Nano—

Llama 3.1 70B125 tok/s

seed-bootstrap · Aug 1, 2026

Input priceOpenAI: GPT-5 Nano (+$0.35/1M)

OpenAI: GPT-5 Nano$0.05/1M

openrouter · Aug 17, 2026

Llama 3.1 70B$0.4/1M

openrouter · Aug 17, 2026

Output price

OpenAI: GPT-5 Nano$0.4/1M

openrouter · Aug 17, 2026

Llama 3.1 70B$0.4/1M

openrouter · Aug 17, 2026

Context windowOpenAI: GPT-5 Nano (+269k)

OpenAI: GPT-5 Nano400k

openrouter · Aug 17, 2026

Llama 3.1 70B131k

openrouter · Aug 17, 2026

Benchmark

OpenAI: GPT-5 Nano

Llama 3.1 70B

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

$0.05/1M

openrouter · Aug 17, 2026

$0.4/1M

openrouter · Aug 17, 2026

OpenAI: GPT-5 Nano (+$0.35/1M)

Output price

$0.4/1M

openrouter · Aug 17, 2026

$0.4/1M

openrouter · Aug 17, 2026

—

Context window

400k

openrouter · Aug 17, 2026

131k

openrouter · Aug 17, 2026

OpenAI: GPT-5 Nano (+269k)

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatOpenAI: GPT-5 Nano

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI: GPT-5 Nano

Larger window (400k).

Screenshots / visionLlama 3.1 70B

Llama 3.1 70B 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	OpenAI: GPT-5 Nano	Lower output list price ($0.4/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	OpenAI: GPT-5 Nano	Larger window (400k).
Screenshots / vision	Llama 3.1 70B	Llama 3.1 70B is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, OpenAI: GPT-5 Nano or Llama 3.1 70B?

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, OpenAI: GPT-5 Nano or Llama 3.1 70B?

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?

OpenAI: GPT-5 Nano output tokens are $0.4/1M versus $0.4/1M. Input prices and retry rates still move the real bill.

Which is faster, OpenAI: GPT-5 Nano or Llama 3.1 70B?

We do not have TTFT for both models.

Which has the larger context window?

OpenAI: GPT-5 Nano accepts 400k 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. OpenAI: GPT-5 Nano and Llama 3.1 70B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.