Pairwise benchmark snapshot · Aug 17, 2026

GPT-4o vs Llama 4 Scout benchmark

Name: GPT-4o vs Llama 4 Scout AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GPT-4o (OpenAI) and Llama 4 Scout (Meta) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, Llama 4 Scout is ahead by 77 points (1,412 vs 1,335; lmarena (Aug 16, 2026)). On SWE-bench coding, GPT-4o resolves 54.8% versus 52.4% (swebench (Aug 17, 2026)). Llama 4 Scout streams faster (155 tok/s) while Llama 4 Scout is the cheaper output token ($0.3/1M). Llama 4 Scout has the larger context window (1.3M 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.

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OpenAI

GPT-4o

Previous OpenAI flagship. Still a common compare baseline on legacy pages.

Elo 1,335$10/1M out

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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.

GPT-4o (2)vsLlama 4 Scout (8)

GPT-4o: 2W (20%)Overall: Llama 4 ScoutLlama 4 Scout: 8W (80%)

← GPT-4oLlama 4 Scout →

Llama 4 Scout (3/5)

Intelligence & Reasoning

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

Preference Elo

1,335vs1,412

Coding Elo

—vs1,398

SWE-bench

54.8%vs52.4%

LiveBench

54.2%vs59.6%

GPQA Diamond

73.2%vs71.2%

GPT-4o: 2WLlama 4 Scout: 3W

Llama 4 Scout (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

110 tok/svs155 tok/s

Time to first token

180 msvs130 ms

GPT-4o: 0WLlama 4 Scout: 2W

Llama 4 Scout (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$0.3/1M

Input price

$2.5/1Mvs$0.1/1M

Context window

128kvs1.3M

GPT-4o: 0WLlama 4 Scout: 3W

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 4 Scout 5/6

Preference Elo

Llama 4 Scout

77 pts advantage

Throughput Speed

Llama 4 Scout

45 tok/s faster

Price Efficiency

Llama 4 Scout

$9.70/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,335

EloHigh is better

1,412+6%

Code Elo

High is better

—

Code EloHigh is better

1,398

LiveBench

High is better

54.2%

LiveBenchHigh is better

59.6%+10%

SWE-bench

High is better

+5%54.8%

SWE-benchHigh is better

52.4%

GPQA

High is better

+3%73.2%

GPQAHigh is better

71.2%

TTFT

Low is better

180 ms

TTFTLow is better

130 ms+38%

Speed

High is better

110 tok/s

SpeedHigh is better

155 tok/s+41%

In $

Low is better

$2.5/1M

In $Low is better

$0.1/1M+2400%

Out $

Low is better

$10/1M

Out $Low is better

$0.3/1M+3233%

Context

High is better

128k

ContextHigh is better

1.3M+924%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 97% with Llama 4 Scout

Monthly Volume50M tokens/mo

Quick Presets:

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

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

GPT-4o$237.50 / mo

In: $87.50Out: $150.00

Llama 4 Scout$8.00 / mo

In: $3.50Out: $4.50

Estimated Cost Delta

Llama 4 Scout is estimated to save $229.50/month ($2,754/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
GPT-4o:Pick GPT-4o when repo-level coding accuracy is the constraint.
2
Llama 4 Scout:Pick Llama 4 Scout when you are optimizing output cost.
3
Llama 4 Scout:Pick Llama 4 Scout when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGPT-4o

Higher SWE-bench (54.8%).

High-volume chatLlama 4 Scout

Lower output list price ($0.3/1M).

Voice / low-latency UILlama 4 Scout

Lower TTFT (130 ms).

Long-document RAGLlama 4 Scout

Larger window (1.3M).

Screenshots / visionLlama 4 Scout

Both accept images. Defaulting to the higher-Elo side (Llama 4 Scout).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-4o	Higher SWE-bench (54.8%).
High-volume chat	Llama 4 Scout	Lower output list price ($0.3/1M).
Voice / low-latency UI	Llama 4 Scout	Lower TTFT (130 ms).
Long-document RAG	Llama 4 Scout	Larger window (1.3M).
Screenshots / vision	Llama 4 Scout	Both accept images. Defaulting to the higher-Elo side (Llama 4 Scout).

Related Editorial Dispatches & Benchmark Notes

View all news

compareAug 16, 2026

Haiku 4.5 vs Llama 4 Scout: cheap Claude versus cheap open Llama

$1/$5 hosted Claude vs a cheap long-context open sibling. The alternative-to-Sonnet pair that is honest.

launchApr 8, 2026

Llama 4 Scout: long-context open sibling of Maverick

Huge window, cheap hosted lists. The Haiku alternative that is actually open-weight.

newsMay 13, 2024

GPT-4o stays as the 2024 compare anchor people still search

Deprecated for buying. Kept because “4o vs sonnet” is still a typed query.

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LIVE

OpenAI

GPT-4o

Elo 1,335

LiveBench54.2%

SWE-bench54.8%

Speed110 tok/s

Output cost$10/1M

Llama 4 Scout

Elo 1,412

LiveBench59.6%

SWE-bench52.4%

Speed155 tok/s

Output cost$0.3/1M

Frequently Asked Questions

Which is better overall, GPT-4o or Llama 4 Scout?: Llama 4 Scout has the higher preference Elo in our latest snapshot (1,412). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, GPT-4o or Llama 4 Scout?: GPT-4o leads SWE-bench at 54.8% vs 52.4%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Llama 4 Scout output tokens are $0.3/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4o or Llama 4 Scout?: Llama 4 Scout has the lower time-to-first-token (130 ms vs 180 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Llama 4 Scout accepts 1.3M tokens versus 128k.
Can I self-host either model?: Llama 4 Scout 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. GPT-4o and Llama 4 Scout Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All GPT-4o matchups →|All Llama 4 Scout matchups →

GPT-4o vs GPT-4 Turbo (previous gpt-flagship)GPT-4o vs OpenAI: o1 (next gpt-flagship)Llama 4 Scout vs Llama 4 Maverick (previous llama)GPT-5 vs Llama 4 Scout GPT-4.5 Orion vs Llama 4 Scout GPT-5.6 Sol vs Llama 4 Scout

GPT-4o vs Llama 4 Scout benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-4o (2)vsLlama 4 Scout (8)

GPT-4o: 2W (20%)Overall: Llama 4 ScoutLlama 4 Scout: 8W (80%)

← GPT-4oLlama 4 Scout →

Llama 4 Scout (3/5)

Intelligence & Reasoning

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

Preference Elo

1,335vs1,412

Coding Elo

—vs1,398

SWE-bench

54.8%vs52.4%

LiveBench

54.2%vs59.6%

GPQA Diamond

73.2%vs71.2%

GPT-4o: 2WLlama 4 Scout: 3W

Llama 4 Scout (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

110 tok/svs155 tok/s

Time to first token

180 msvs130 ms

GPT-4o: 0WLlama 4 Scout: 2W

Llama 4 Scout (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$0.3/1M

Input price

$2.5/1Mvs$0.1/1M

Context window

128kvs1.3M

GPT-4o: 0WLlama 4 Scout: 3W

Recommended Workload Routing

Repo / coding agentsGPT-4o

Higher SWE-bench (54.8%).

High-volume chatLlama 4 Scout

Lower output list price ($0.3/1M).

Voice / low-latency UILlama 4 Scout

Lower TTFT (130 ms).

Long-document RAGLlama 4 Scout

Larger window (1.3M).

Screenshots / visionLlama 4 Scout

Both accept images. Defaulting to the higher-Elo side (Llama 4 Scout).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-4o	Higher SWE-bench (54.8%).
High-volume chat	Llama 4 Scout	Lower output list price ($0.3/1M).
Voice / low-latency UI	Llama 4 Scout	Lower TTFT (130 ms).
Long-document RAG	Llama 4 Scout	Larger window (1.3M).
Screenshots / vision	Llama 4 Scout	Both accept images. Defaulting to the higher-Elo side (Llama 4 Scout).

Frequently Asked Questions

Which is better overall, GPT-4o or Llama 4 Scout?

Llama 4 Scout has the higher preference Elo in our latest snapshot (1,412). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, GPT-4o or Llama 4 Scout?

GPT-4o leads SWE-bench at 54.8% vs 52.4%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Llama 4 Scout output tokens are $0.3/1M versus $10/1M. Input prices and retry rates still move the real bill.

Which is faster, GPT-4o or Llama 4 Scout?

Llama 4 Scout has the lower time-to-first-token (130 ms vs 180 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Llama 4 Scout accepts 1.3M tokens versus 128k.

Can I self-host either model?

Llama 4 Scout 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. GPT-4o and Llama 4 Scout Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Llama 4 Scout

Llama 4 Scout

Llama 4 Scout

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Haiku 4.5 vs Llama 4 Scout: cheap Claude versus cheap open Llama

Llama 4 Scout: long-context open sibling of Maverick

GPT-4o stays as the 2024 compare anchor people still search

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

GPT-4o

Llama 4 Scout

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Llama 4 Scout

Llama 4 Scout

Llama 4 Scout

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Haiku 4.5 vs Llama 4 Scout: cheap Claude versus cheap open Llama

Llama 4 Scout: long-context open sibling of Maverick

GPT-4o stays as the 2024 compare anchor people still search

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

GPT-4o

Llama 4 Scout

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons