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

GPT-4.5 Orion vs Sao10K: Llama 3 8B Lunaris benchmark

Name: GPT-4.5 Orion vs Sao10K: Llama 3 8B Lunaris AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GPT-4.5 Orion (OpenAI) and Sao10K: Llama 3 8B Lunaris (sao10k) using the latest snapshots we have as of Aug 17, 2026. Sao10K: Llama 3 8B Lunaris wins on output price at $0.05/1M. GPT-4.5 Orion has the larger context window (128k 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

sao10k

Sao10K: Llama 3 8B Lunaris

Auto-discovered from OpenRouter (sao10k/l3-lunaris-8b). Preview until a second source matches.

$0.049999999999999996/1M 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 (8)vsSao10K: Llama 3 8B Lunaris (2)

GPT-4.5 Orion: 8W (80%)Overall: GPT-4.5 OrionSao10K: Llama 3 8B Lunaris: 2W (20%)

← GPT-4.5 OrionSao10K: Llama 3 8B Lunaris →

GPT-4.5 Orion (5/5)

Intelligence & Reasoning

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

Preference Elo

1,540vs—

Coding Elo

1,520vs—

SWE-bench

71%vs—

LiveBench

68.5%vs—

GPQA Diamond

84%vs—

GPT-4.5 Orion: 5WSao10K: Llama 3 8B Lunaris: 0W

GPT-4.5 Orion (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

60 tok/svs—

Time to first token

350 msvs—

GPT-4.5 Orion: 2WSao10K: Llama 3 8B Lunaris: 0W

Sao10K: Llama 3 8B Lunaris (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$150/1Mvs$0.05/1M

Input price

$75/1Mvs$0.04/1M

Context window

128kvs8k

GPT-4.5 Orion: 1WSao10K: Llama 3 8B Lunaris: 2W

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 AdvantageGPT-4.5 Orion 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Sao10K: Llama 3 8B Lunaris

$149.95/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,540

EloHigh is better

—

Code Elo

High is better

1,520

Code EloHigh is better

—

LiveBench

High is better

68.5%

LiveBenchHigh is better

—

SWE-bench

High is better

71%

SWE-benchHigh is better

—

GPQA

High is better

84%

GPQAHigh is better

—

TTFT

Low is better

350 ms

TTFTLow is better

—

Speed

High is better

60 tok/s

SpeedHigh is better

—

In $

Low is better

$75/1M

In $Low is better

$0.04/1M+187400%

Out $

Low is better

$150/1M

Out $Low is better

$0.05/1M+299900%

Context

High is better

+1463%128k

ContextHigh is better

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 100% with Sao10K: Llama 3 8B Lunaris

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

Sao10K: Llama 3 8B Lunaris$2.15 / mo

In: $1.40Out: $0.75

Estimated Cost Delta

Sao10K: Llama 3 8B Lunaris is estimated to save $4,872.85/month ($58,474/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Sao10K: Llama 3 8B Lunaris:Pick Sao10K: Llama 3 8B Lunaris when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatSao10K: Llama 3 8B Lunaris

Lower output list price ($0.05/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGPT-4.5 Orion

Larger window (128k).

Screenshots / visionGPT-4.5 Orion

GPT-4.5 Orion 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	Sao10K: Llama 3 8B Lunaris	Lower output list price ($0.05/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	GPT-4.5 Orion	Larger window (128k).
Screenshots / vision	GPT-4.5 Orion	GPT-4.5 Orion is the side marked multimodal in the catalog.

Community Sentiment

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CompareLLM Matrix

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LIVE

OpenAI

GPT-4.5 Orion

Elo 1,540

LiveBench68.5%

SWE-bench71%

Speed60 tok/s

Output cost$150/1M

sao10k

Sao10K: Llama 3 8B Lunaris

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.05/1M

Frequently Asked Questions

Which is better overall, GPT-4.5 Orion or Sao10K: Llama 3 8B Lunaris?: 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, GPT-4.5 Orion or Sao10K: Llama 3 8B Lunaris?: 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?: Sao10K: Llama 3 8B Lunaris output tokens are $0.05/1M versus $150/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4.5 Orion or Sao10K: Llama 3 8B Lunaris?: We do not have TTFT for both models.
Which has the larger context window?: GPT-4.5 Orion accepts 128k tokens versus 8k.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
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 Sao10K: Llama 3 8B Lunaris 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 Sao10K: Llama 3 8B Lunaris matchups →

GPT-4.5 Orion vs OpenAI: o1 (previous gpt-flagship)GPT-4.5 Orion vs GPT-5 (next gpt-flagship)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-5.6 Luna vs GPT-4.5 Orion

GPT-4.5 Orion vs Sao10K: Llama 3 8B Lunaris benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-4.5 Orion (8)vsSao10K: Llama 3 8B Lunaris (2)

GPT-4.5 Orion: 8W (80%)Overall: GPT-4.5 OrionSao10K: Llama 3 8B Lunaris: 2W (20%)

← GPT-4.5 OrionSao10K: Llama 3 8B Lunaris →

GPT-4.5 Orion (5/5)

Intelligence & Reasoning

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

Preference Elo

1,540vs—

Coding Elo

1,520vs—

SWE-bench

71%vs—

LiveBench

68.5%vs—

GPQA Diamond

84%vs—

GPT-4.5 Orion: 5WSao10K: Llama 3 8B Lunaris: 0W

GPT-4.5 Orion (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

60 tok/svs—

Time to first token

350 msvs—

GPT-4.5 Orion: 2WSao10K: Llama 3 8B Lunaris: 0W

Sao10K: Llama 3 8B Lunaris (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$150/1Mvs$0.05/1M

Input price

$75/1Mvs$0.04/1M

Context window

128kvs8k

GPT-4.5 Orion: 1WSao10K: Llama 3 8B Lunaris: 2W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatSao10K: Llama 3 8B Lunaris

Lower output list price ($0.05/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGPT-4.5 Orion

Larger window (128k).

Screenshots / visionGPT-4.5 Orion

GPT-4.5 Orion 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	Sao10K: Llama 3 8B Lunaris	Lower output list price ($0.05/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	GPT-4.5 Orion	Larger window (128k).
Screenshots / vision	GPT-4.5 Orion	GPT-4.5 Orion is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, GPT-4.5 Orion or Sao10K: Llama 3 8B Lunaris?

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, GPT-4.5 Orion or Sao10K: Llama 3 8B Lunaris?

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?

Sao10K: Llama 3 8B Lunaris output tokens are $0.05/1M versus $150/1M. Input prices and retry rates still move the real bill.

Which is faster, GPT-4.5 Orion or Sao10K: Llama 3 8B Lunaris?

We do not have TTFT for both models.

Which has the larger context window?

GPT-4.5 Orion accepts 128k tokens versus 8k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

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 Sao10K: Llama 3 8B Lunaris Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.