Span-02

Released
2026-10-15
Last refreshed
2026-10-20
Status
Researched 1d ago
Open sourceCommercial use: permittedMultimodalRAGLong contextVisionJSON / Tool use
Respan releases · 1 in the last 12 monthsChangelog →
Specifications
Family
Span
Released
2026-10-15
Context
128K
Parameters
26B
Architecture
Mixture of Experts
Openness
Open source
License
Apache 2.0OSI-approvedPermitted
Weights
Available
Code
Unknown
Training
Fine-tuned
Created by

Respan (Keywords AI Inc., formerly Keywords AI) builds an LLM engineering platform with observability, evaluations, prom

Alameda, California, US
Website
Pricing
Output / 1M
Free
Input / 1M
$0.010

Cheapest of 1 route · OpenRouter

About

Span-02 is Respan's open-weight decision model, a fine-tune of Google's Gemma 4 26B-A4B with about 4B active parameters. Given text and up to four images, it returns a typed answer: a choice, yes/no/unknown, a score on a scale, or a number. It uses anytime reasoning: reasoning can be off, set to a time budget after which it returns its best decision so far, or chosen per request in auto mode. Context is 131,072 tokens per question. Weights ship in NVFP4/FP8 with Respan's own Rust/CUDA engine for one NVIDIA Blackwell GPU; Respan also serves it through OpenRouter.

Providers(1)

Compare API pricing across 1 tracked provider route for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
OpenRouter$0.010Free
Serverless

Capabilities

VisionMultimodalReasoningStructured Outputs

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

API versions

respan/span-02Span 2