Compare

O3 vs Sonar Reasoning Pro

Pricing per million tokens, context window, capabilities — pulled from each provider's public docs. All 2 are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

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O3
openai/o3
Sonar Reasoning Pro
perplexity/sonar-reasoning-pro
Provider
OpenAI
Perplexity
Family
o-series
Modality
text
text
Context window
200,000 tok
127,000 tok
Max output
100,000 tok
8,192 tok
Released
2026-05-22
2025-03-07
License
Open-weight
Proprietary
Input price
$2.00 /1M
$2.00 /1M
Output price
$8.00 /1M
$8.00 /1M
Tools
Streaming
yes
yes
Vision
JSON mode
Reasoning
yes
Prompt caching
Batch API
Try it
Open in playground →
Open in playground →
O3
openai/o3
Full spec →

o3 is OpenAI’s general-purpose reasoning model, balancing strong analytical performance with reasonable latency and cost.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows
Sonar Reasoning Pro
perplexity/sonar-reasoning-pro
Full spec →

Perplexity Sonar Reasoning Pro — search-augmented reasoning.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows

Compare with another

Claude Opus 4.8 vs O3
anthropic/claude-opus-4.8 · openai/o3
Claude Opus 4.8 vs Sonar Reasoning Pro
anthropic/claude-opus-4.8 · perplexity/sonar-reasoning-pro
DeepSeek V4 Pro vs O3
deepseek/deepseek-v4-pro · openai/o3
DeepSeek V4 Pro vs Sonar Reasoning Pro
deepseek/deepseek-v4-pro · perplexity/sonar-reasoning-pro
MiniMax M3 vs O3
minimax/m3 · openai/o3
MiniMax M3 vs Sonar Reasoning Pro
minimax/m3 · perplexity/sonar-reasoning-pro
Gemini 3.1 Pro vs O3
google/gemini-3.1-pro · openai/o3
Gemini 3.1 Pro vs Sonar Reasoning Pro
google/gemini-3.1-pro · perplexity/sonar-reasoning-pro
Claude Sonnet 4.6 vs O3
anthropic/claude-sonnet-4.6 · openai/o3
SWITCH BETWEEN THEM

One key, all 2, one line different.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.aigateway.sh/v1",
    api_key="sk-aig-...",
)

# O3
client.chat.completions.create(
    model="openai/o3",
    messages=[{"role":"user","content":"hello"}],
)

# Sonar Reasoning Pro
client.chat.completions.create(
    model="perplexity/sonar-reasoning-pro",
    messages=[{"role":"user","content":"hello"}],
)
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