compare/Claude Opus 5vsGemini 2.5 Flash

Claude Opus 5 vs Gemini 2.5 Flash

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 Opus 5
anthropic/claude-opus-5
Gemini 2.5 Flash
google/gemini-2.5-flash
ProviderAnthropicGoogle
FamilyClaude 4
Modalitytexttext
Context window1,000,000 tok1,000,000 tok
Max output128,000 tok8,192 tok
Released2026-07-242026-05-22
Input price$5.00 /1M$0.300 /1M
Output price$25.00 /1M$2.50 /1M
Cache read
Toolsyes
Streamingyesyes
Visionyesyes
JSON modeyes
Reasoningyes
Prompt caching
Claude Opus 5
anthropic/claude-opus-5
Full spec →

Claude Opus 5 is Anthropic's model for complex agentic coding and enterprise work, delivering intelligence close to Claude Fable 5 at half the price. It uses adaptive thinking to calibrate reasoning per task and supports a one million token context window at standard pricing.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Gemini 2.5 Flash
google/gemini-2.5-flash
Full spec →

Google's fast multimodal Gemini 2.5 model with strong reasoning 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 Opus 5
client.chat.completions.create(
    model="anthropic/claude-opus-5",
    messages=[{"role":"user","content":"hello"}],
)

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

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