Compare

Gemini 3.1 Pro 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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Gemini 3.1 Pro
google/gemini-3.1-pro
Sonar Reasoning Pro
perplexity/sonar-reasoning-pro
Provider
Google
Perplexity
Family
Gemini 3
Modality
text
text
Context window
1,000,000 tok
127,000 tok
Max output
65,536 tok
8,192 tok
Released
2026-05-22
2025-03-07
License
Proprietary
Proprietary
Input price
$2.00 /1M
$2.00 /1M
Output price
$12.00 /1M
$8.00 /1M
Cache read
$0.200 /1M
Tools
yes
Streaming
yes
yes
Vision
yes
JSON mode
yes
Reasoning
yes
yes
Prompt caching
yes
Batch API
Try it
Open in playground →
Open in playground →
Gemini 3.1 Pro
google/gemini-3.1-pro
Full spec →

Google's most intelligent Gemini model with improved reasoning, a medium thinking level, and a 1M token context window.

Strengths
  • 2M-token context
  • Native video + audio input
  • Cheapest long-context reasoning
Use cases
Video understandingVery long-document RAGCodebase-scale reasoning
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

Benchmarks

Gemini 3.1 Pro
Sonar Reasoning Pro
Long-Context
94.2
MMLU
89.6

Source: each provider's published benchmarks. Higher is better. Run an eval to compare on your own data.

Compare with another

Gemini 3.1 Pro vs Claude Opus 4.7
google/gemini-3.1-pro · anthropic/claude-opus-4.7
Gemini 3.1 Pro vs GPT-5.4
google/gemini-3.1-pro · openai/gpt-5.4
Gemini 3.1 Pro vs Claude Sonnet 4.6
google/gemini-3.1-pro · anthropic/claude-sonnet-4.6
Gemini 3.1 Pro vs Kimi-K2.7-Code
google/gemini-3.1-pro · moonshot/kimi-k2.7-code
Claude Opus 4.8 vs Gemini 3.1 Pro
anthropic/claude-opus-4.8 · google/gemini-3.1-pro
Claude Opus 4.8 vs Sonar Reasoning Pro
anthropic/claude-opus-4.8 · perplexity/sonar-reasoning-pro
DeepSeek V4 Pro vs Gemini 3.1 Pro
deepseek/deepseek-v4-pro · google/gemini-3.1-pro
DeepSeek V4 Pro vs Sonar Reasoning Pro
deepseek/deepseek-v4-pro · perplexity/sonar-reasoning-pro
MiniMax M3 vs Gemini 3.1 Pro
minimax/m3 · google/gemini-3.1-pro
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-...",
)

# Gemini 3.1 Pro
client.chat.completions.create(
    model="google/gemini-3.1-pro",
    messages=[{"role":"user","content":"hello"}],
)

# Sonar Reasoning Pro
client.chat.completions.create(
    model="perplexity/sonar-reasoning-pro",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →