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Every score has a dated snapshot.

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  3. OpenAI: o1 vs Perplexity: Sonar Reasoning Pro

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

OpenAI: o1 vs Perplexity: Sonar Reasoning Pro benchmark

In this head-to-head showdown, Perplexity: Sonar Reasoning Pro is more budget-friendly at $8/1M 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 OpenAI: o1 if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Perplexity: Sonar Reasoning Pro if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
Share Analysis:
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Verified Head-to-Head Advantage Breakdown

3 direct benchmark disciplines evaluated across capability, speed, and cost

OpenAI: o1 (1)Perplexity: Sonar Reasoning Pro (2)
OpenAI: o1
1 of 3 Wins
✓Context window
Perplexity: Sonar Reasoning Pro
2 of 3 Wins
✓Input price✓Output price
OpenAI
Leads 1 of 3 metrics
OpenAI: o1

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

Elo 1,512$60/1M out
perplexity
Leads 2 of 3 metrics
Perplexity: Sonar Reasoning Pro

Auto-discovered from OpenRouter (perplexity/sonar-reasoning-pro). Preview until a second source matches.

$8/1M out

OpenAI: o1 Thinking Depth & Cost Scaler

Model A

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.

Thinking Delay
420 ms
Standard speed
Reasoning Depth
~1,500
Internal tokens
Cost / 1k Calls
$115.50
4.5× standard bill
Accuracy Boost
+4.5% accuracy
STEM & SWE-bench
Top Rival Showdowns for OpenAI: o1
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 LeaderPerplexity: Sonar Reasoning Pro Wins

Perplexity: Sonar Reasoning Pro

$8 / 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 Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile
Head-to-Head Comparison

Overall Matchup Breakdown

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

OpenAI: o1 (8)vsPerplexity: Sonar Reasoning Pro (2)
OpenAI: o1: 8W (80%)Overall: OpenAI: o1Perplexity: Sonar Reasoning Pro: 2W (20%)
← OpenAI: o1Perplexity: Sonar Reasoning Pro →
🏆OpenAI: o1(5/5)

Intelligence & Reasoning

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

Benchmark
OpenAI: o1vsPerplexity: Sonar Reasoning Pro
Preference Elo
1,512vs—
Coding Elo
1,485vs—
SWE-bench
48.9%vs—
LiveBench
65.4%vs—
GPQA Diamond
78%vs—
OpenAI: o1: 5WPerplexity: Sonar Reasoning Pro: 0W
🏆OpenAI: o1(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
OpenAI: o1vsPerplexity: Sonar Reasoning Pro
Output speed
45 tok/svs—
Time to first token
420 msvs—
OpenAI: o1: 2WPerplexity: Sonar Reasoning Pro: 0W
🏆Perplexity: Sonar Reasoning Pro(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
OpenAI: o1vsPerplexity: Sonar Reasoning Pro
Output price
$60/1Mvs$8/1M+$52/1M
Input price
$15/1Mvs$2/1M+$13/1M
Context window
200kvs128k+72k
OpenAI: o1: 1WPerplexity: Sonar Reasoning Pro: 2W

Side-by-Side Benchmark Matrix

Preference Elo
OpenAI: o11,512
lmarena · Aug 17, 2026
Perplexity: Sonar Reasoning Pro—
Coding Elo
OpenAI: o11,485
lmarena · Aug 17, 2026
Perplexity: Sonar Reasoning Pro—
LiveBench
OpenAI: o165.4%
livebench · Aug 17, 2026
Perplexity: Sonar Reasoning Pro—
SWE-bench
OpenAI: o148.9%
swebench · Aug 17, 2026
Perplexity: Sonar Reasoning Pro—
GPQA Diamond
OpenAI: o178%
seed-bootstrap · Aug 1, 2026
Perplexity: Sonar Reasoning Pro—
Time to first token
OpenAI: o1420 ms
seed-bootstrap · Aug 1, 2026
Perplexity: Sonar Reasoning Pro—
Output speed
OpenAI: o145 tok/s
seed-bootstrap · Aug 1, 2026
Perplexity: Sonar Reasoning Pro—
Input price+$13/1M
OpenAI: o1$15/1M
openrouter · Aug 17, 2026
Perplexity: Sonar Reasoning Pro$2/1M
openrouter · Aug 17, 2026
Output price+$52/1M
OpenAI: o1$60/1M
openrouter · Aug 17, 2026
Perplexity: Sonar Reasoning Pro$8/1M
openrouter · Aug 17, 2026
Context window+72k
OpenAI: o1200k
openrouter · Aug 17, 2026
Perplexity: Sonar Reasoning Pro128k
openrouter · Aug 17, 2026
BenchmarkOpenAI: o1Perplexity: Sonar Reasoning ProAdvantage 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
$15/1M
openrouter · Aug 17, 2026
$2/1M
openrouter · Aug 17, 2026
+$13/1M
Output price
$60/1M
openrouter · Aug 17, 2026
$8/1M
openrouter · Aug 17, 2026
+$52/1M
Context window
200k
openrouter · Aug 17, 2026
128k
openrouter · Aug 17, 2026
+72k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 87% with Perplexity: Sonar Reasoning Pro
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
OpenAI: o1$1,425.00 / mo
In: $525Out: $900
Perplexity: Sonar Reasoning Pro$190.00 / mo
In: $70Out: $120
Estimated Cost Delta

Perplexity: Sonar Reasoning Pro is estimated to save $1,235.00/month ($14,820/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Perplexity: Sonar Reasoning Pro:Pick Perplexity: Sonar Reasoning Pro when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatPerplexity: Sonar Reasoning Pro

Lower output list price ($8/1M).

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 chatPerplexity: Sonar Reasoning ProLower output list price ($8/1M).
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.
Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
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
perplexity

Perplexity: Sonar Reasoning Pro

Elo n/a
SWE-bench—
Speed (tok/s)128k
Input / 1M Tokens$2/1M
Output / 1M Tokens$8/1M

Frequently Asked Questions

Which is better overall, OpenAI: o1 or Perplexity: Sonar Reasoning Pro?
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, OpenAI: o1 or Perplexity: Sonar Reasoning Pro?
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?
Perplexity: Sonar Reasoning Pro output tokens are $8/1M versus $60/1M. Input prices and retry rates still move the real bill.
Which is faster, OpenAI: o1 or Perplexity: Sonar Reasoning Pro?
We do not have TTFT for both models.
Which has the larger context window?
OpenAI: o1 accepts 200k 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. OpenAI: o1 and Perplexity: Sonar Reasoning Pro Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All OpenAI: o1 matchups →|All Perplexity: Sonar Reasoning Pro matchups →
OpenAI: o1 vs GPT-4o (previous gpt-flagship)OpenAI: o1 vs GPT-4.5 Orion (next gpt-flagship)GPT-5.6 Terra vs OpenAI: o1GPT-5 vs OpenAI: o1GPT-5.6 Sol vs OpenAI: o1GPT-5.6 Luna vs OpenAI: o1