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Jev Router

Typesafe · released Sep 25, 2026

ProprietaryReasoningTool useStructured outputVisionAudio inVideo in

Jev Router picks the best model and reasoning effort for each request, balancing quality, speed, and cost. It runs on [Jev](https://openrouter.ai/~typesafe/jev-latest), TypeSafe's first System One model, and adapts as your...

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Specification

Context window
1M
Max output
—
Knowledge cutoff
Not stated
Parameters
Undisclosed
Licence
Proprietary
Serving providers
0
Moderated
No

Intelligence

—

Not benchmarked

Coding

—

Coding Index

Agentic

—

Agentic Index

Output speed

—

Median across providers

Latency

—

Time to first token

Cost per task

$-130000.000

Estimated

Benchmarks

Where the score comes from

The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.

Evaluation scores

This model has not been put through the benchmark suite. Its speed, latency and pricing figures below are still measured.

Against its peers

Intelligence Index · this model highlighted, nearest peers in grey

Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.

View as table
ModelIntelligence
Qwen3.8 Max58.1
Claude Opus 5.557.6
Claude Sonnet 5.556.0
Claude Fable 5.153.4
GPT-6 Astra52.7
Gemini 4 Argon52.6
Muse Wonder52.4

Pricing

What it costs to run

List prices per million tokens, plus what one representative task works out to.

List price

Input / 1M tokens
$-1000000
Output / 1M tokens
$-1000000
Cached input / 1M
Not offered
Blended 3:1
$-1000000

One task, estimated

$-130000.000

Input tokens
50,000
Output tokens
80,000
Profile
Reasoning

Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).

Serving providers

No serving providers listed.

Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.