Pairwise benchmark snapshot · Aug 16, 2026

GPT-4.5 Orion vs Llama 4 Scout benchmark

Name: GPT-4.5 Orion vs Llama 4 Scout AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GPT-4.5 Orion (OpenAI) and Llama 4 Scout (Meta) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, GPT-4.5 Orion is ahead by 128 points (1,540 vs 1,412; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, GPT-4.5 Orion resolves 71% versus 52.4% (seed-bootstrap (Aug 1, 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-4.5 Orion

OpenAI largest dense non-reasoning model with expansive world knowledge and reduced hallucinations.

Elo 1,540$150/1M 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-4.5 Orion (5)vsLlama 4 Scout (5)

GPT-4.5 Orion: 5W (50%)Overall: Even matchupLlama 4 Scout: 5W (50%)

← GPT-4.5 OrionLlama 4 Scout →

GPT-4.5 Orion (5/5)

Intelligence & Reasoning

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

Preference Elo

1,540vs1,412

Coding Elo

1,520vs1,398

SWE-bench

71%vs52.4%

LiveBench

68.5%vs59.6%

GPQA Diamond

84%vs71.2%

GPT-4.5 Orion: 5WLlama 4 Scout: 0W

Llama 4 Scout (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

60 tok/svs155 tok/s

Time to first token

350 msvs130 ms

GPT-4.5 Orion: 0WLlama 4 Scout: 2W

Llama 4 Scout (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$150/1Mvs$0.3/1M

Input price

$75/1Mvs$0.1/1M

Context window

128kvs1.3M

GPT-4.5 Orion: 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 AdvantageEven 3–3

Preference Elo

GPT-4.5 Orion

128 pts advantage

Throughput Speed

Llama 4 Scout

95 tok/s faster

Price Efficiency

Llama 4 Scout

$149.70/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+9%1,540

EloHigh is better

1,412

Code Elo

High is better

+9%1,520

Code EloHigh is better

1,398

LiveBench

High is better

+15%68.5%

LiveBenchHigh is better

59.6%

SWE-bench

High is better

+35%71%

SWE-benchHigh is better

52.4%

GPQA

High is better

+18%84%

GPQAHigh is better

71.2%

TTFT

Low is better

350 ms

TTFTLow is better

130 ms+169%

Speed

High is better

60 tok/s

SpeedHigh is better

155 tok/s+158%

In $

Low is better

$75/1M

In $Low is better

$0.1/1M+74900%

Out $

Low is better

$150/1M

Out $Low is better

$0.3/1M+49900%

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 100% 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-4.5 Orion$4,875.00 / mo

In: $2625.00Out: $2250.00

Llama 4 Scout$8.00 / mo

In: $3.50Out: $4.50

Estimated Cost Delta

Llama 4 Scout is estimated to save $4,867.00/month ($58,404/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
GPT-4.5 Orion:Pick GPT-4.5 Orion 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-4.5 Orion

Higher SWE-bench (71%).

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 / visionGPT-4.5 Orion

Both accept images. Defaulting to the higher-Elo side (GPT-4.5 Orion).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-4.5 Orion	Higher SWE-bench (71%).
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	GPT-4.5 Orion	Both accept images. Defaulting to the higher-Elo side (GPT-4.5 Orion).

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.

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LIVE

OpenAI

GPT-4.5 Orion

Elo 1,540

LiveBench68.5%

SWE-bench71%

Speed60 tok/s

Output cost$150/1M

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-4.5 Orion or Llama 4 Scout?: GPT-4.5 Orion has the higher preference Elo in our latest snapshot (1,540). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, GPT-4.5 Orion or Llama 4 Scout?: GPT-4.5 Orion leads SWE-bench at 71% 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 $150/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4.5 Orion or Llama 4 Scout?: Llama 4 Scout has the lower time-to-first-token (130 ms vs 350 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-4.5 Orion 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-4.5 Orion matchups →|All Llama 4 Scout matchups →

GPT-4.5 Orion vs OpenAI: o1 (previous gpt-flagship)GPT-4.5 Orion vs GPT-5 (next gpt-flagship)Llama 4 Scout vs Llama 4 Maverick (previous llama)GPT-5.6 Terra vs GPT-4.5 Orion GPT-5.6 Sol vs GPT-4.5 Orion OpenAI: o3 Mini vs GPT-4.5 Orion

GPT-4.5 Orion vs Llama 4 Scout benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-4.5 Orion (5)vsLlama 4 Scout (5)

GPT-4.5 Orion: 5W (50%)Overall: Even matchupLlama 4 Scout: 5W (50%)

← GPT-4.5 OrionLlama 4 Scout →

GPT-4.5 Orion (5/5)

Intelligence & Reasoning

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

Preference Elo

1,540vs1,412

Coding Elo

1,520vs1,398

SWE-bench

71%vs52.4%

LiveBench

68.5%vs59.6%

GPQA Diamond

84%vs71.2%

GPT-4.5 Orion: 5WLlama 4 Scout: 0W

Llama 4 Scout (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

60 tok/svs155 tok/s

Time to first token

350 msvs130 ms

GPT-4.5 Orion: 0WLlama 4 Scout: 2W

Llama 4 Scout (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$150/1Mvs$0.3/1M

Input price

$75/1Mvs$0.1/1M

Context window

128kvs1.3M

GPT-4.5 Orion: 0WLlama 4 Scout: 3W

Recommended Workload Routing

Repo / coding agentsGPT-4.5 Orion

Higher SWE-bench (71%).

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 / visionGPT-4.5 Orion

Both accept images. Defaulting to the higher-Elo side (GPT-4.5 Orion).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-4.5 Orion	Higher SWE-bench (71%).
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	GPT-4.5 Orion	Both accept images. Defaulting to the higher-Elo side (GPT-4.5 Orion).

Frequently Asked Questions

Which is better overall, GPT-4.5 Orion or Llama 4 Scout?

GPT-4.5 Orion has the higher preference Elo in our latest snapshot (1,540). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, GPT-4.5 Orion or Llama 4 Scout?

GPT-4.5 Orion leads SWE-bench at 71% 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 $150/1M. Input prices and retry rates still move the real bill.

Which is faster, GPT-4.5 Orion or Llama 4 Scout?

Llama 4 Scout has the lower time-to-first-token (130 ms vs 350 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-4.5 Orion 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

GPT-4.5 Orion

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

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

GPT-4.5 Orion

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

GPT-4.5 Orion

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

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

GPT-4.5 Orion

Llama 4 Scout

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons