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  3. DeepSeek R1 vs Sao10K: Llama 3.3 Euryale 70B

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

DeepSeek R1 vs Sao10K: Llama 3.3 Euryale 70B benchmark

In this head-to-head showdown, Sao10K: Llama 3.3 Euryale 70B is more budget-friendly at $0.75/1M 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 DeepSeek R1 if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Sao10K: Llama 3.3 Euryale 70B if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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DeepSeek
DeepSeek R1

Open-weights reasoning model trained with large-scale RL.

Elo 1,358$2.5/1M out
sao10k
Sao10K: Llama 3.3 Euryale 70B

Auto-discovered from OpenRouter (sao10k/l3.3-euryale-70b). Preview until a second source matches.

$0.75/1M out

DeepSeek R1 Thinking Depth & Cost Scaler

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Full RL CoT)

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.

Thinking Delay
420 ms
Standard speed
Reasoning Depth
~2,800
Internal tokens
Cost / 1k Calls
$8.10
7.4× standard bill
Accuracy Boost
+6.5% accuracy
STEM & SWE-bench
Top Rival Showdowns for DeepSeek R1
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

Sao10K: Llama 3.3 Euryale 70B

$0.75 / 1M output

Capability Percentiles

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

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 AdvantageDeepSeek R1 4/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

DeepSeek R1 (6)vsSao10K: Llama 3.3 Euryale 70B (3)
DeepSeek R1: 6W (67%)Overall: DeepSeek R1Sao10K: Llama 3.3 Euryale 70B: 3W (33%)
← DeepSeek R1Sao10K: Llama 3.3 Euryale 70B →
DeepSeek R1 (4/5)

Intelligence & Reasoning

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

Preference Elo
1,358vs—
Coding Elo
—vs—
SWE-bench
65.2%vs—
LiveBench
59%vs—
GPQA Diamond
79.8%vs—
DeepSeek R1: 4WSao10K: Llama 3.3 Euryale 70B: 0W
DeepSeek R1 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
62 tok/svs—
Time to first token
420 msvs—
DeepSeek R1: 2WSao10K: Llama 3.3 Euryale 70B: 0W
Sao10K: Llama 3.3 Euryale 70B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$2.5/1Mvs$0.75/1M
Input price
$0.7/1Mvs$0.65/1M
Context window
64kvs131k
DeepSeek R1: 0WSao10K: Llama 3.3 Euryale 70B: 3W

Side-by-Side Benchmark Matrix

Preference Elo
DeepSeek R11,358
lmarena · Aug 17, 2026
Sao10K: Llama 3.3 Euryale 70B—
LiveBench
DeepSeek R159%
livebench · Aug 17, 2026
Sao10K: Llama 3.3 Euryale 70B—
SWE-bench
DeepSeek R165.2%
swebench · Aug 17, 2026
Sao10K: Llama 3.3 Euryale 70B—
GPQA Diamond
DeepSeek R179.8%
seed-bootstrap · Aug 1, 2026
Sao10K: Llama 3.3 Euryale 70B—
Time to first token
DeepSeek R1420 ms
seed-bootstrap · Aug 1, 2026
Sao10K: Llama 3.3 Euryale 70B—
Output speed
DeepSeek R162 tok/s
seed-bootstrap · Aug 1, 2026
Sao10K: Llama 3.3 Euryale 70B—
Input priceSao10K: Llama 3.3 Euryale 70B (+$0.05/1M)
DeepSeek R1$0.7/1M
openrouter · Aug 17, 2026
Sao10K: Llama 3.3 Euryale 70B$0.65/1M
openrouter · Aug 17, 2026
Output priceSao10K: Llama 3.3 Euryale 70B (+$1.75/1M)
DeepSeek R1$2.5/1M
openrouter · Aug 17, 2026
Sao10K: Llama 3.3 Euryale 70B$0.75/1M
openrouter · Aug 17, 2026
Context windowSao10K: Llama 3.3 Euryale 70B (+67k)
DeepSeek R164k
openrouter · Aug 17, 2026
Sao10K: Llama 3.3 Euryale 70B131k
openrouter · Aug 17, 2026
BenchmarkDeepSeek R1Sao10K: Llama 3.3 Euryale 70BAdvantage Delta
Preference Elo
1,358
lmarena · Aug 17, 2026
——
LiveBench
59%
livebench · Aug 17, 2026
——
SWE-bench
65.2%
swebench · Aug 17, 2026
——
GPQA Diamond
79.8%
seed-bootstrap · Aug 1, 2026
——
Time to first token
420 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
62 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$0.7/1M
openrouter · Aug 17, 2026
$0.65/1M
openrouter · Aug 17, 2026
Sao10K: Llama 3.3 Euryale 70B (+$0.05/1M)
Output price
$2.5/1M
openrouter · Aug 17, 2026
$0.75/1M
openrouter · Aug 17, 2026
Sao10K: Llama 3.3 Euryale 70B (+$1.75/1M)
Context window
64k
openrouter · Aug 17, 2026
131k
openrouter · Aug 17, 2026
Sao10K: Llama 3.3 Euryale 70B (+67k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 45% with Sao10K: Llama 3.3 Euryale 70B
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
DeepSeek R1$62.00 / mo
In: $24.5Out: $37.5
Sao10K: Llama 3.3 Euryale 70B$34.00 / mo
In: $22.75Out: $11.25
Estimated Cost Delta

Sao10K: Llama 3.3 Euryale 70B is estimated to save $28.00/month ($336/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Sao10K: Llama 3.3 Euryale 70B:Pick Sao10K: Llama 3.3 Euryale 70B when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatSao10K: Llama 3.3 Euryale 70B

Lower output list price ($0.75/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGSao10K: Llama 3.3 Euryale 70B

Larger window (131k).

Screenshots / visionSao10K: Llama 3.3 Euryale 70B

Sao10K: Llama 3.3 Euryale 70B 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 3.3 Euryale 70BLower output list price ($0.75/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGSao10K: Llama 3.3 Euryale 70BLarger window (131k).
Screenshots / visionSao10K: Llama 3.3 Euryale 70BSao10K: Llama 3.3 Euryale 70B is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchJan 20, 2025

DeepSeek R1 stays as the open-weights RL baseline

Jan 2025 reasoning model. Still searched. V4 Pro is the newer DeepSeek buy.

Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
DeepSeek

DeepSeek R1

Elo 1,358
LiveBench59%
SWE-bench65.2%
Speed62 tok/s
Output cost$2.5/1M
sao10k

Sao10K: Llama 3.3 Euryale 70B

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$0.75/1M

Frequently Asked Questions

Which is better overall, DeepSeek R1 or Sao10K: Llama 3.3 Euryale 70B?
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, DeepSeek R1 or Sao10K: Llama 3.3 Euryale 70B?
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 3.3 Euryale 70B output tokens are $0.75/1M versus $2.5/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek R1 or Sao10K: Llama 3.3 Euryale 70B?
We do not have TTFT for both models.
Which has the larger context window?
Sao10K: Llama 3.3 Euryale 70B accepts 131k tokens versus 64k.
Can I self-host either model?
DeepSeek R1 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. DeepSeek R1 and Sao10K: Llama 3.3 Euryale 70B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Jan 20, 2025

    DeepSeek R1 stays as the open-weights RL baseline

Similar Head-to-Head Comparisons

All DeepSeek R1 matchups →|All Sao10K: Llama 3.3 Euryale 70B matchups →
DeepSeek R1 vs DeepSeek V3 (previous deepseek)DeepSeek R1 vs DeepSeek V4 Pro (next deepseek)DeepSeek V4 Flash vs DeepSeek R1DeepSeek Coder V2 vs DeepSeek R1Mistral Large 3 vs DeepSeek R1Llama 4 Maverick vs DeepSeek R1