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Gemini 4 Argon vs Jev 1.14

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 4 Argon
google/gemini-4-argon
J1
Jev 1.14
typesafe/jev-1.14.0
Provider
Google
Typesafe
Family
Modality
text
text
Context window
1,048,576 tok
32,000 tok
Max output
65,536 tok
32,000 tok
Released
2026-10-14
2026-10-16
License
Proprietary
Open-weight
Input price
$2.00 /1M
$0.042 /1M
Output price
$10.00 /1M
$0.0000 /1M
Tools
—
—
Streaming
yes
yes
Vision
—
—
JSON mode
—
—
Reasoning
—
—
Prompt caching
—
—
Batch API
—
—
Try it
Open in playground →
Open in playground →
Gemini 4 Argon
google/gemini-4-argon
Full spec →

Google's frontier model for deep work on complex, real-world tasks across coding, finance, legal, cybersecurity and science. The first model in the Gemini 4 family.

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

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Gemini 4 Argon vs Grok 4.7
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Gemini 4 Argon vs Glm-5.3
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Gemini 4 Argon vs Kimi K3
google/gemini-4-argon · moonshot/kimi-k3
Gemini 4 Argon vs Qwen3.8-Max
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Gemini 4 Argon vs GPT-5.6 Sol
google/gemini-4-argon · openai/gpt-5.6-sol
Gemini 4 Argon vs Qwen3.8-27b
google/gemini-4-argon · qwen/qwen3.8-27b
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 4 Argon
client.chat.completions.create(
    model="google/gemini-4-argon",
    messages=[{"role":"user","content":"hello"}],
)

# Jev 1.14
client.chat.completions.create(
    model="typesafe/jev-1.14.0",
    messages=[{"role":"user","content":"hello"}],
)
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