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Every score has a dated snapshot.

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  3. GPT-4.5 Orion vs Sao10K: Llama 3.1 Euryale 70B v2.2

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

GPT-4.5 Orion vs Sao10K: Llama 3.1 Euryale 70B v2.2 benchmark

In this head-to-head showdown, Sao10K: Llama 3.1 Euryale 70B v2.2 is more budget-friendly at $0.85/1M 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: Choose GPT-4.5 Orion if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Sao10K: Llama 3.1 Euryale 70B v2.2 if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Executive Verdict Summary

Sao10K: Llama 3.1 Euryale 70B v2.2 holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench
GPT-4.5 OrionTop code solve rate
ReasoningGPQA / Live
GPT-4.5 OrionTop logical accuracy
Best Value$/1M Tok
Sao10K: Llama 3.1 Euryale 70B v2.2Lowest API billing cost
Speed / TokTok/Sec
GPT-4.5 OrionFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

GPT-4.5 Orion (0)Sao10K: Llama 3.1 Euryale 70B v2.2 (3)
GPT-4.5 Orion
0 of 3 Wins
Competitive baseline across remaining benchmarks
Sao10K: Llama 3.1 Euryale 70B v2.2
3 of 3 Wins
✓Input price✓Output price✓Context window
OpenAI
GPT-4.5 Orion

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

Elo 1,540In: $75 · Out: $150/1M
sao10k
Leads 3 of 3
Sao10K: Llama 3.1 Euryale 70B v2.2

Auto-discovered from OpenRouter (sao10k/l3.1-euryale-70b). Preview until a second source matches.

In: $0.85 · Out: $0.85/1M
Top Rival Showdowns for GPT-4.5 Orion
All Matchups
Compare vs:vs Claude Opus 4.5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderSao10K: Llama 3.1 Euryale 70B v2.2 Wins

Sao10K: Llama 3.1 Euryale 70B v2.2

$0.85 / 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.

GPT-4.5 Orion (7)vsSao10K: Llama 3.1 Euryale 70B v2.2 (3)
GPT-4.5 Orion: 7W (70%)Overall: GPT-4.5 OrionSao10K: Llama 3.1 Euryale 70B v2.2: 3W (30%)
← GPT-4.5 OrionSao10K: Llama 3.1 Euryale 70B v2.2 →
🏆GPT-4.5 Orion Leads(5/5)

Intelligence & Reasoning

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

Benchmark
GPT-4.5 OrionvsSao10K: Llama 3.1 Euryale 70B v2.2
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 3.1 Euryale 70B v2.2: 0W
🏆GPT-4.5 Orion Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
GPT-4.5 OrionvsSao10K: Llama 3.1 Euryale 70B v2.2
Output speed
60 tok/svs—
Time to first token
350 msvs—
GPT-4.5 Orion: 2WSao10K: Llama 3.1 Euryale 70B v2.2: 0W
🏆Sao10K: Llama 3.1 Euryale 70B v2.2 Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
GPT-4.5 OrionvsSao10K: Llama 3.1 Euryale 70B v2.2
Output price
$150/1Mvs$0.85/1M+$149.15/1M
Input price
$75/1Mvs$0.85/1M+$74.15/1M
Context window
128kvs131k+3k
GPT-4.5 Orion: 0WSao10K: Llama 3.1 Euryale 70B v2.2: 3W

Side-by-Side Benchmark Matrix

GPT-4.5 OrionSao10K: Llama 3.1 Euryale 70B v2.2
Preference Elo
GPT-4.5 Orion1,540
Sao10K: Llama 3.1 Euryale 70B v2.2—
Coding Elo
GPT-4.5 Orion1,520
Sao10K: Llama 3.1 Euryale 70B v2.2—
LiveBench
GPT-4.5 Orion68.5%
Sao10K: Llama 3.1 Euryale 70B v2.2—
SWE-bench
GPT-4.5 Orion71%
Sao10K: Llama 3.1 Euryale 70B v2.2—
GPQA Diamond
GPT-4.5 Orion84%
Sao10K: Llama 3.1 Euryale 70B v2.2—
Time to first token
GPT-4.5 Orion350 ms
Sao10K: Llama 3.1 Euryale 70B v2.2—
Output speed
GPT-4.5 Orion60 tok/s
Sao10K: Llama 3.1 Euryale 70B v2.2—
Input priceSao10K: Llama 3.1 Euryale 70B v2.2 +$74.15/1M
GPT-4.5 Orion$75/1M
Sao10K: Llama 3.1 Euryale 70B v2.2$0.85/1M
Output priceSao10K: Llama 3.1 Euryale 70B v2.2 +$149.15/1M
GPT-4.5 Orion$150/1M
Sao10K: Llama 3.1 Euryale 70B v2.2$0.85/1M
Context windowSao10K: Llama 3.1 Euryale 70B v2.2 +3k
GPT-4.5 Orion128k
Sao10K: Llama 3.1 Euryale 70B v2.2131k
BenchmarkGPT-4.5 OrionSao10K: Llama 3.1 Euryale 70B v2.2Advantage Delta
Preference Elo
1,540
lmarena · Aug 17, 2026
——
Coding Elo
1,520
lmarena · Aug 17, 2026
——
LiveBench
68.5%
livebench · Aug 17, 2026
——
SWE-bench
71%
swebench · Aug 17, 2026
——
GPQA Diamond
84%
seed-bootstrap · Aug 1, 2026
——
Time to first token
350 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
60 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$75/1M
seed-bootstrap · Aug 1, 2026
$0.85/1M
openrouter · Aug 17, 2026
+$74.15/1M
Output price
$150/1M
seed-bootstrap · Aug 1, 2026
$0.85/1M
openrouter · Aug 17, 2026
+$149.15/1M
Context window
128k
seed-bootstrap · Aug 1, 2026
131k
openrouter · Aug 17, 2026
+3k

Workload Cost & Savings Calculator

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

Save 99% with Sao10K: Llama 3.1 Euryale 70B v2.2
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: $2,625Out: $2,250
Sao10K: Llama 3.1 Euryale 70B v2.2$42.50 / mo
In: $29.75Out: $12.75
Estimated Cost Delta

Sao10K: Llama 3.1 Euryale 70B v2.2 is estimated to save $4,832.50/month ($57,990/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Sao10K: Llama 3.1 Euryale 70B v2.2:Pick Sao10K: Llama 3.1 Euryale 70B v2.2 when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatSao10K: Llama 3.1 Euryale 70B v2.2

Lower output list price ($0.85/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGSao10K: Llama 3.1 Euryale 70B v2.2

Larger window (131k).

Screenshots / visionGPT-4.5 Orion

GPT-4.5 Orion 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 3.1 Euryale 70B v2.2Lower output list price ($0.85/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGSao10K: Llama 3.1 Euryale 70B v2.2Larger window (131k).
Screenshots / visionGPT-4.5 OrionGPT-4.5 Orion is the side marked multimodal in the catalog.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
OpenAI

GPT-4.5 Orion

Elo 1,540
SWE-bench71%
Speed (tok/s)60 tok/s
Input / 1M Tokens$75/1M
Output / 1M Tokens$150/1M
sao10k

Sao10K: Llama 3.1 Euryale 70B v2.2

Elo n/a
SWE-bench—
Speed (tok/s)131k
Input / 1M Tokens$0.85/1M
Output / 1M Tokens$0.85/1M

Frequently Asked Questions

Which is better overall, GPT-4.5 Orion or Sao10K: Llama 3.1 Euryale 70B v2.2?
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 3.1 Euryale 70B v2.2?
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 3.1 Euryale 70B v2.2 output tokens are $0.85/1M versus $150/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4.5 Orion or Sao10K: Llama 3.1 Euryale 70B v2.2?
We do not have TTFT for both models.
Which has the larger context window?
Sao10K: Llama 3.1 Euryale 70B v2.2 accepts 131k tokens versus 128k.
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 3.1 Euryale 70B v2.2 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 3.1 Euryale 70B v2.2 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 OrionGPT-5.6 Sol vs GPT-4.5 OrionOpenAI: o3 Mini vs GPT-4.5 OrionGPT-5.6 Luna vs GPT-4.5 Orion