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uxwizz.com
#419

Span-02

Respan Release: 2026-10-17 Tested on: 2026-10-17 10:59 respan/span-02::none
26B total (4B active)MoEOpen source

Summary

Span-02 scores 2.8 on AI BENCHY and ranks #419. It has 10.0 reliability, a 26.1% pass rate, $0.001 total cost, and 1.36s average response time.

What makes Span-02 unique: It stands out most in Anti-AI Tricks, where it ranks #1, while Puzzle Solving is its weakest area at #10.

Model facts

Researched on 2026-10-17

Reported
Parameters
26B total (4B active)
Architecture
MoE
Availability
Open source
License
Apache-2.0

The official card identifies a Gemma 4 26B-A4B fine-tune with about 4B active parameters, Apache-2.0 weights and the included Rust/CUDA inference engine. It handles text/JSON decision states as well as optional images; it is not vision-specific. The vendor native API exposes anytime reasoning deadlines, but this OpenRouter checkpoint declares no reasoning controls, so benchmark provider default once. Respan publishes training=false with prompt retention. Fallback date records this onboarding request date.

Score

2.8

Consistency

5.2

Total Output Tokens

0

Total Input Tokens

70,626

Input Price

$0.010 / 1M

Output Price

$0.000 / 1M

Cache Read Price

N/A

Cache Write Price

N/A

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Tests Correct

Wrong Tests: 6

Attempt pass rate: 26.1%

Benchmark coverage: 36/69 attempts. Choices supplied by adapters. Supports 12/23 tests. Other tests are unsupported, not failed. Score uses the full suite.

Flaky tests

0

Flaky tests had mixed outcomes across runs (at least one pass and one fail).

Response Time (avg)

1.36s

Response Time (max): 5.71s

Response Time (total): 16.37s

Charts

Choose the first model, then click a second model to open a side-by-side page.

Total Output Tokens

Score vs Total Output Tokens

Quick Compare

Category Breakdown

Category Score Consistency Tests Correct
Agentic 0.0 0.0
Anti-AI Tricks 5.8 7.5
Coding 4.9 6.7
Combined 0.0 0.0
Data parsing and extraction 6.5 10.0
Domain specific 5.3 10.0
General Intelligence 0.0 0.0
Instructions following 5.0 5.0
Puzzle Solving 1.0 3.3
Tool Calling 0.0 0.0
Trivia 0.0 0.0

Compared models