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

Claude Opus 4.5 vs Sao10K: Llama 3 8B Lunaris benchmark

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

This page compares Claude Opus 4.5 (Anthropic) 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. Claude Opus 4.5 has the larger context window (200k 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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Anthropic

Claude Opus 4.5

Anthropic frontier coding and computer-use model. SWE-bench leader on the official mini-SWE-agent harness in the Feb 2026 refresh.

Elo 1,568$25/1M 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 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet vs GPT-5

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4.5 (8)vsSao10K: Llama 3 8B Lunaris (2)

Claude Opus 4.5: 8W (80%)Overall: Claude Opus 4.5Sao10K: Llama 3 8B Lunaris: 2W (20%)

← Claude Opus 4.5Sao10K: Llama 3 8B Lunaris →

Claude Opus 4.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,568vs—

Coding Elo

1,574vs—

SWE-bench

76.8%vs—

LiveBench

71.2%vs—

GPQA Diamond

84.1%vs—

Claude Opus 4.5: 5WSao10K: Llama 3 8B Lunaris: 0W

Claude Opus 4.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

62 tok/svs—

Time to first token

380 msvs—

Claude Opus 4.5: 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

$25/1Mvs$0.05/1M

Input price

$5/1Mvs$0.04/1M

Context window

200kvs8k

Claude Opus 4.5: 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 AdvantageClaude Opus 4.5 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Sao10K: Llama 3 8B Lunaris

$24.95/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,568

EloHigh is better

—

Code Elo

High is better

1,574

Code EloHigh is better

—

LiveBench

High is better

71.2%

LiveBenchHigh is better

—

SWE-bench

High is better

76.8%

SWE-benchHigh is better

—

GPQA

High is better

84.1%

GPQAHigh is better

—

TTFT

Low is better

380 ms

TTFTLow is better

—

Speed

High is better

62 tok/s

SpeedHigh is better

—

In $

Low is better

$5/1M

In $Low is better

$0.04/1M+12400%

Out $

Low is better

$25/1M

Out $Low is better

$0.05/1M+49900%

Context

High is better

+2341%200k

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)

Claude Opus 4.5$550.00 / mo

In: $175.00Out: $375.00

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 $547.85/month ($6,574/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 RAGClaude Opus 4.5

Larger window (200k).

Screenshots / visionClaude Opus 4.5

Claude Opus 4.5 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	Claude Opus 4.5	Larger window (200k).
Screenshots / vision	Claude Opus 4.5	Claude Opus 4.5 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchFeb 20, 2026

Claude Opus 4.5 and the Feb 2026 SWE-bench row we still cite

The Feb refresh made 4.5 a coding reference. Newer Opus SKUs exist; this row stays as the dated harness point.

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LIVE

Anthropic

Claude Opus 4.5

Elo 1,568

LiveBench71.2%

SWE-bench76.8%

Speed62 tok/s

Output cost$25/1M

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, Claude Opus 4.5 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, Claude Opus 4.5 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 $25/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4.5 or Sao10K: Llama 3 8B Lunaris?: We do not have TTFT for both models.
Which has the larger context window?: Claude Opus 4.5 accepts 200k 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. Claude Opus 4.5 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 Claude Opus 4.5 matchups →|All Sao10K: Llama 3 8B Lunaris matchups →

Claude Opus 4.5 vs Claude Opus 4 (previous opus)Claude Opus 4.5 vs Claude Opus 4.6 (next opus)Claude Sonnet 5 vs Claude Opus 4.5 Claude Opus 4.8 vs Claude Opus 4.5 Claude Sonnet 4.5 vs Claude Opus 4.5 Claude Fable 5 vs Claude Opus 4.5

Claude Opus 4.5 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.

Claude Opus 4.5 (8)vsSao10K: Llama 3 8B Lunaris (2)

Claude Opus 4.5: 8W (80%)Overall: Claude Opus 4.5Sao10K: Llama 3 8B Lunaris: 2W (20%)

← Claude Opus 4.5Sao10K: Llama 3 8B Lunaris →

Claude Opus 4.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,568vs—

Coding Elo

1,574vs—

SWE-bench

76.8%vs—

LiveBench

71.2%vs—

GPQA Diamond

84.1%vs—

Claude Opus 4.5: 5WSao10K: Llama 3 8B Lunaris: 0W

Claude Opus 4.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

62 tok/svs—

Time to first token

380 msvs—

Claude Opus 4.5: 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

$25/1Mvs$0.05/1M

Input price

$5/1Mvs$0.04/1M

Context window

200kvs8k

Claude Opus 4.5: 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 RAGClaude Opus 4.5

Larger window (200k).

Screenshots / visionClaude Opus 4.5

Claude Opus 4.5 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	Claude Opus 4.5	Larger window (200k).
Screenshots / vision	Claude Opus 4.5	Claude Opus 4.5 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Claude Opus 4.5 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, Claude Opus 4.5 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 $25/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Opus 4.5 or Sao10K: Llama 3 8B Lunaris?

We do not have TTFT for both models.

Which has the larger context window?

Claude Opus 4.5 accepts 200k 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. Claude Opus 4.5 and Sao10K: Llama 3 8B Lunaris 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

No shared data

No shared data

Sao10K: Llama 3 8B Lunaris

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Claude Opus 4.5 and the Feb 2026 SWE-bench row we still cite

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Claude Opus 4.5

Sao10K: Llama 3 8B Lunaris

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

No shared data

No shared data

Sao10K: Llama 3 8B Lunaris

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Claude Opus 4.5 and the Feb 2026 SWE-bench row we still cite

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Claude Opus 4.5

Sao10K: Llama 3 8B Lunaris

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons