Compare

Jev 1.14 vs Gemini 3.1 Pro

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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J1
Jev 1.14
typesafe/jev-1.14.0
Gemini 3.1 Pro
google/gemini-3.1-pro
Provider
Typesafe
Google
Family
Gemini 3
Modality
text
text
Context window
32,000 tok
1,000,000 tok
Max output
32,000 tok
65,536 tok
Released
2026-10-16
2026-05-22
License
Open-weight
Proprietary
Input price
$0.042 /1M
$2.00 /1M
Output price
$0.0000 /1M
$12.00 /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 →
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
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

Benchmarks

Jev 1.14
Gemini 3.1 Pro
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-...",
)

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

# Gemini 3.1 Pro
client.chat.completions.create(
    model="google/gemini-3.1-pro",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →