compare/Claude Opus 5.5vsJev 1.14

Claude Opus 5.5 vs Jev 1.14

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.

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 Claude Opus 5.5
anthropic/claude-opus-5.5
Jev 1.14
typesafe/jev-1.14.0
ProviderAnthropicTypesafe
FamilyClaude 4
Modalitytexttext
Context window1,000,000 tok32,000 tok
Max output128,000 tok32,000 tok
Released2026-09-232026-10-16
Input price$4.00 /1M$0.042 /1M
Output price$20.00 /1M$0.0000 /1M
Cache read——
Toolsyes—
Streamingyesyes
Visionyes—
JSON modeyes—
Reasoningyes—
Prompt caching——
Claude Opus 5.5
anthropic/claude-opus-5.5
Full spec →

Claude Opus 5.5 is Anthropic's model for long-running agentic coding and knowledge work. It combines a one million token context window with adaptive thinking that is always on, a 128K token maximum output, and a medium default effort level.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Jev 1.14
typesafe/jev-1.14.0
Full spec →

Jev 1.14 is TypeSafe's structured evaluation model. It evaluates one state against typed Noul, Choice, Score, and Box questions and returns calibrated answers with probabilities and confidence. Image inputs and Box questions are beta and dreamer-ready, not recommended for production.

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 5.5
client.chat.completions.create(
    model="anthropic/claude-opus-5.5",
    messages=[{"role":"user","content":"hello"}],
)

# Try Jev 1.14 — same client, same key
client.chat.completions.create(
    model="typesafe/jev-1.14.0",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyAdd a third model

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