Where is the Tev1 4B Experimental documentation?

The Tev1 4B Experimental documentation on OpenRouter includes the interactive Decisions Lab. The quickstart covers API keys and your first request, and the API reference lists every parameter.

How much does Tev1 4B Experimental cost?

Tev1 4B Experimental costs $0.042/M input tokens and $0.00/M output tokens.

What is the context length of Tev1 4B Experimental?

Tev1 4B Experimental has a 32,768 token context window. It supports up to 8 completion tokens.

What inputs and outputs does Tev1 4B Experimental support?

Tev1 4B Experimental accepts text as input and returns structured decisions.

Which providers serve Tev1 4B Experimental?

Tev1 4B Experimental is served by 1 provider on OpenRouter: Together.

When was Tev1 4B Experimental released?

Tev1 4B Experimental was released on September 30, 2026.

Together: Tev1 4B Experimental

togethercomputer/tev1-4b-experimental

Model weights

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Tev1 4B Experimental is an experimental decision model from Together AI, a supervised fine-tune of Qwen3.5-4B trained to choose one option from a structured state, question, and list of 2-24 labeled options. It keeps Qwen's standard next-token head, so it is served through the regular chat completions API rather than a dedicated decisions runtime.

Send a system instruction followed by a JSON decision containing state, question, and options. The model returns a single option letter, which application code maps back to the option key. Recommended settings are temperature: 0, max_tokens: 8, and thinking disabled. It is intended for routing, classification, and policy checks, not generic chat. Together publishes the full data recipe and training code so teams can fine-tune their own variant.

Modalities

In / out price

$0.042 / $0per 1M

Context

33K

Released

Sep 30, 2026

Providers

This model is hosted by one provider. OpenRouter forwards every request without routing.

Latency


	$0.042	Free	0.18s	78.94%

Input $0.042Output Free
0.18s latency78.94% uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0.04186/M tokens

Output

$0/M tokens

Tev1 4B Experimental — Price history

Price history

No effective price data for this selection

		$0.0419	$0.00	100.0%

Effective in $0.0419Effective out $0.00
Token share
100.0%

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

99.99%

Availability (3d)

92.87%

Availability over the last 3 days

Last 72 hours

Availability 92.87%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

84.23%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Not currently available through EU in-region routing. In-region routing docs

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This is the base model variant of the StripedHyena series, developed by Together.

StripedHyena uses a new architecture that competes with traditional Transformers, particularly in long-context data processing. It combines attention mechanisms with gated convolutions for improved speed, efficiency, and scaling. This model marks an advancement in AI architecture for sequence modeling tasks.

Text33K context

StripedHyena Nous 7B

This is the chat model variant of the StripedHyena series developed by Together in collaboration with Nous Research.

StripedHyena uses a new architecture that competes with traditional Transformers, particularly in long-context data processing. It combines attention mechanisms with gated convolutions for improved speed, efficiency, and scaling. This model marks a significant advancement in AI architecture for sequence modeling tasks.

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Together: Tev1 4B Experimental

Playground

Providers