compare/Claude Sonnet 4.6vsGemini 2.5 Pro

Claude Sonnet 4.6 vs Gemini 2.5 Pro

Pricing, context window, capabilities, and release date — pulled from each provider's public docs. Both are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

RUN BOTH LIVE

Paste a prompt. Watch them race.

Both models stream in parallel through your own AIgateway key. Tokens, latency, and cost update as they arrive.

Sign in to runLive streaming uses your own key. It's free to sign up.
 Claude Sonnet 4.6
anthropic/claude-sonnet-4.6
Gemini 2.5 Pro
google/gemini-2.5-pro
ProviderAnthropicGoogle
FamilyClaude 4
Modalitytexttext
Context window200,000 tok1,000,000 tok
Max output128,000 tok65,536 tok
Released2026-05-222026-05-22
Input price$3.00 /1M$1.25 /1M
Output price$15.00 /1M$10.00 /1M
Cache read$0.300 /1M
Toolsyes
Streamingyesyes
Visionyes
JSON modeyes
Reasoningyes
Prompt cachingyes
Claude Sonnet 4.6
anthropic/claude-sonnet-4.6
Full spec →

Claude Sonnet 4.6 is Anthropic's latest balanced model offering strong coding, reasoning, and agentic capabilities with improved instruction following.

Strengths
  • Best cost/quality ratio for agentic workloads
  • Low latency
  • Strong tool calling
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
SWITCH BETWEEN THEM

One key, both models, one line different.

# pip install aigateway-py openai
# aigateway-py: sub-accounts, evals, replays, jobs, webhook verify.
# openai SDK: chat/embeddings/images/audio — drop-in compat per our SDK's own guidance.
from openai import OpenAI

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

# Try Claude Sonnet 4.6
client.chat.completions.create(
    model="anthropic/claude-sonnet-4.6",
    messages=[{"role":"user","content":"hello"}],
)

# Try Gemini 2.5 Pro — same client, same key
client.chat.completions.create(
    model="google/gemini-2.5-pro",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyAdd a third model

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