Compare

Gemini 3.1 Pro 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.

Search2/4
Gemini 3.1 Pro
google/gemini-3.1-pro
J1
Jev 1.14
typesafe/jev-1.14.0
Provider
Google
Typesafe
Family
Gemini 3
Modality
text
text
Context window
1,000,000 tok
32,000 tok
Max output
65,536 tok
32,000 tok
Released
2026-05-22
2026-10-16
License
Proprietary
Open-weight
Input price
$2.00 /1M
$0.042 /1M
Output price
$12.00 /1M
$0.0000 /1M
Cache read
$0.200 /1M
—
Tools
yes
—
Streaming
yes
yes
Vision
yes
—
JSON mode
yes
—
Reasoning
yes
—
Prompt caching
yes
—
Batch API
—
—
Try it
Open in playground →
Open in playground →
Gemini 3.1 Pro
google/gemini-3.1-pro
Full spec →

Google's most intelligent Gemini model with improved reasoning, a medium thinking level, and a 1M token context window.

Strengths
  • 2M-token context
  • Native video + audio input
  • Cheapest long-context reasoning
Use cases
Video understandingVery long-document RAGCodebase-scale reasoning
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

Benchmarks

Gemini 3.1 Pro
Jev 1.14
Long-Context
94.2
—
MMLU
89.6
—

Source: each provider's published benchmarks. Higher is better. Run an eval to compare on your own data.

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google/gemini-3.1-pro · anthropic/claude-sonnet-4.6
Gemini 3.1 Pro vs Kimi-K2.7-Code
google/gemini-3.1-pro · moonshot/kimi-k2.7-code
Gemini 4 Argon vs Jev 1.14
google/gemini-4-argon · typesafe/jev-1.14.0
Gemini 4 Argon vs Gemini 3.1 Pro
google/gemini-4-argon · google/gemini-3.1-pro
Claude Sonnet 5.5 vs Jev 1.14
anthropic/claude-sonnet-5.5 · typesafe/jev-1.14.0
Claude Sonnet 5.5 vs Gemini 3.1 Pro
anthropic/claude-sonnet-5.5 · google/gemini-3.1-pro
GPT-6.1 Sol vs Jev 1.14
openai/gpt-6.1-sol · typesafe/jev-1.14.0
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 3.1 Pro
client.chat.completions.create(
    model="google/gemini-3.1-pro",
    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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