Compare

Gemini 2.5 Pro vs Pareto

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 2.5 Pro
google/gemini-2.5-pro
P
Pareto
unbiased/pareto
Provider
Google
Unbiased
Family
Modality
text
text
Context window
1,000,000 tok
262,144 tok
Max output
65,536 tok
32,768 tok
Released
2026-05-22
2026-09-17
License
Proprietary
Open-weight
Input price
$1.25 /1M
$2.50 /1M
Output price
$10.00 /1M
$7.50 /1M
Tools
—
—
Streaming
yes
yes
Vision
yes
—
JSON mode
—
—
Reasoning
—
—
Prompt caching
—
—
Batch API
—
—
Try it
Open in playground →
Open in playground →
Gemini 2.5 Pro
google/gemini-2.5-pro
Full spec →

Google's most capable Gemini 2.5 model with strong reasoning, thinking support, and a 1M token context window.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows
Pareto
unbiased/pareto
Full spec →

Pareto is Unbiased's blended AI model. It engages multiple language models in parallel for each request, synthesizes one answer, and supports text and vision inputs through a single API response.

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

Compare with another

Claude Sonnet 5.5 vs Pareto
anthropic/claude-sonnet-5.5 · unbiased/pareto
Claude Sonnet 5.5 vs Gemini 2.5 Pro
anthropic/claude-sonnet-5.5 · google/gemini-2.5-pro
GPT-6.1 Sol vs Pareto
openai/gpt-6.1-sol · unbiased/pareto
GPT-6.1 Sol vs Gemini 2.5 Pro
openai/gpt-6.1-sol · google/gemini-2.5-pro
Claude Opus 5.5 vs Pareto
anthropic/claude-opus-5.5 · unbiased/pareto
Claude Opus 5.5 vs Gemini 2.5 Pro
anthropic/claude-opus-5.5 · google/gemini-2.5-pro
Grok 4.7 vs Pareto
xai/grok-4.7 · unbiased/pareto
Grok 4.7 vs Gemini 2.5 Pro
xai/grok-4.7 · google/gemini-2.5-pro
Glm-5.3 vs Pareto
zai-org/glm-5.3 · unbiased/pareto
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 2.5 Pro
client.chat.completions.create(
    model="google/gemini-2.5-pro",
    messages=[{"role":"user","content":"hello"}],
)

# Pareto
client.chat.completions.create(
    model="unbiased/pareto",
    messages=[{"role":"user","content":"hello"}],
)
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