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Every score has a dated snapshot.

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  3. Sao10K: Llama 3 8B Lunaris vs OpenAI: o1

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

Sao10K: Llama 3 8B Lunaris vs OpenAI: o1 benchmark

In this head-to-head showdown, Sao10K: Llama 3 8B Lunaris is more budget-friendly at $0.05/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Both Sao10K: Llama 3 8B Lunaris and OpenAI: o1 present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Executive Verdict Summary

Sao10K: Llama 3 8B Lunaris holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench
OpenAI: o1Top code solve rate
ReasoningGPQA / Live
OpenAI: o1Top logical accuracy
Best Value$/1M Tok
Sao10K: Llama 3 8B LunarisLowest API billing cost
Speed / TokTok/Sec
OpenAI: o1Fastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Sao10K: Llama 3 8B Lunaris (2)OpenAI: o1 (1)
Sao10K: Llama 3 8B Lunaris
2 of 3 Wins
✓Input price✓Output price
OpenAI: o1
1 of 3 Wins
✓Context window
sao10k
Leads 2 of 3
Sao10K: Llama 3 8B Lunaris

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

In: $0.04 · Out: $0.05/1M
OpenAI
Leads 1 of 3
OpenAI: o1

Auto-discovered from OpenRouter (openai/o1). Preview until a second source matches.

Elo 1,512In: $15 · Out: $60/1M

OpenAI: o1 Thinking Depth & Cost Scaler

Model B

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Standard)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Delay
420 ms
Standard
CoT Tokens
~1,500
Internal reasoning
Cost / 1k
$115.50
4.5× base bill
Accuracy Boost
+4.5%
STEM & Logic
Top Rival Showdowns for Sao10K: Llama 3 8B Lunaris
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderSao10K: Llama 3 8B Lunaris Wins

Sao10K: Llama 3 8B Lunaris

$0.049999999999999996 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

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

Sao10K: Llama 3 8B Lunaris (2)vsOpenAI: o1 (8)
Sao10K: Llama 3 8B Lunaris: 2W (20%)Overall: OpenAI: o1OpenAI: o1: 8W (80%)
← Sao10K: Llama 3 8B LunarisOpenAI: o1 →
🏆OpenAI: o1 Leads(5/5)

Intelligence & Reasoning

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

Benchmark
Sao10K: Llama 3 8B LunarisvsOpenAI: o1
Preference Elo
—vs1,512
Coding Elo
—vs1,485
SWE-bench
—vs48.9%
LiveBench
—vs65.4%
GPQA Diamond
—vs78%
Sao10K: Llama 3 8B Lunaris: 0WOpenAI: o1: 5W
🏆OpenAI: o1 Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Sao10K: Llama 3 8B LunarisvsOpenAI: o1
Output speed
—vs45 tok/s
Time to first token
—vs420 ms
Sao10K: Llama 3 8B Lunaris: 0WOpenAI: o1: 2W
🏆Sao10K: Llama 3 8B Lunaris Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Sao10K: Llama 3 8B LunarisvsOpenAI: o1
Output price
$0.05/1Mvs$60/1M+$59.95/1M
Input price
$0.04/1Mvs$15/1M+$14.96/1M
Context window
8kvs200k+192k
Sao10K: Llama 3 8B Lunaris: 2WOpenAI: o1: 1W

Side-by-Side Benchmark Matrix

Sao10K: Llama 3 8B LunarisOpenAI: o1
Preference Elo
Sao10K: Llama 3 8B Lunaris—
OpenAI: o11,512
Coding Elo
Sao10K: Llama 3 8B Lunaris—
OpenAI: o11,485
LiveBench
Sao10K: Llama 3 8B Lunaris—
OpenAI: o165.4%
SWE-bench
Sao10K: Llama 3 8B Lunaris—
OpenAI: o148.9%
GPQA Diamond
Sao10K: Llama 3 8B Lunaris—
OpenAI: o178%
Time to first token
Sao10K: Llama 3 8B Lunaris—
OpenAI: o1420 ms
Output speed
Sao10K: Llama 3 8B Lunaris—
OpenAI: o145 tok/s
Input priceSao10K: Llama 3 8B Lunaris +$14.96/1M
Sao10K: Llama 3 8B Lunaris$0.04/1M
OpenAI: o1$15/1M
Output priceSao10K: Llama 3 8B Lunaris +$59.95/1M
Sao10K: Llama 3 8B Lunaris$0.05/1M
OpenAI: o1$60/1M
Context windowOpenAI: o1 +192k
Sao10K: Llama 3 8B Lunaris8k
OpenAI: o1200k
BenchmarkSao10K: Llama 3 8B LunarisOpenAI: o1Advantage Delta
Preference Elo—
1,512
lmarena · Aug 17, 2026
—
Coding Elo—
1,485
lmarena · Aug 17, 2026
—
LiveBench—
65.4%
livebench · Aug 17, 2026
—
SWE-bench—
48.9%
swebench · Aug 17, 2026
—
GPQA Diamond—
78%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
420 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
45 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0.04/1M
openrouter · Aug 17, 2026
$15/1M
openrouter · Aug 17, 2026
+$14.96/1M
Output price
$0.05/1M
openrouter · Aug 17, 2026
$60/1M
openrouter · Aug 17, 2026
+$59.95/1M
Context window
8k
openrouter · Aug 17, 2026
200k
openrouter · Aug 17, 2026
+192k

Workload Cost & Savings Calculator

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

Save 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)
Sao10K: Llama 3 8B Lunaris$2.15 / mo
In: $1.4Out: $0.75
OpenAI: o1$1,425.00 / mo
In: $525Out: $900
Estimated Cost Delta

Sao10K: Llama 3 8B Lunaris is estimated to save $1,422.85/month ($17,074/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 RAGOpenAI: o1

Larger window (200k).

Screenshots / visionOpenAI: o1

OpenAI: o1 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatSao10K: Llama 3 8B LunarisLower output list price ($0.05/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGOpenAI: o1Larger window (200k).
Screenshots / visionOpenAI: o1OpenAI: o1 is the side marked multimodal in the catalog.

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
sao10k

Sao10K: Llama 3 8B Lunaris

Elo n/a
SWE-bench—
Speed (tok/s)8k
Input / 1M Tokens$0.04/1M
Output / 1M Tokens$0.05/1M
OpenAI

OpenAI: o1

Elo 1,512
SWE-bench48.9%
Speed (tok/s)45 tok/s
Input / 1M Tokens$15/1M
Output / 1M Tokens$60/1M

Frequently Asked Questions

Which is better overall, Sao10K: Llama 3 8B Lunaris or OpenAI: o1?
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, Sao10K: Llama 3 8B Lunaris or OpenAI: o1?
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 $60/1M. Input prices and retry rates still move the real bill.
Which is faster, Sao10K: Llama 3 8B Lunaris or OpenAI: o1?
We do not have TTFT for both models.
Which has the larger context window?
OpenAI: o1 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. Sao10K: Llama 3 8B Lunaris and OpenAI: o1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Sao10K: Llama 3 8B Lunaris matchups →|All OpenAI: o1 matchups →
OpenAI: o1 vs GPT-4o (previous gpt-flagship)OpenAI: o1 vs GPT-4.5 Orion (next gpt-flagship)GPT-5 vs OpenAI: o1GPT-5.6 Sol vs OpenAI: o1GPT-5.6 Terra vs OpenAI: o1GPT-5 mini vs OpenAI: o1