Underdog Saluki 27B vs Claude Haiku 5.5

Overall
33
vs
Overall
70

Claude Haiku 5.5 is clearly better. It wins 65 of the 67 test cases where they differ.

Learn to build evals like this in the AI Engineering Academy

Task by task

A score turns orange only when that model wins clearly more of the task's test cases. Under each score, the average time per test case on the machine it ran on. Underdog Saluki 27B spends 1.9× as many thinking tokens per test case.

Thinking tokensAnswer tokens
TaskAB
Overall
335m 15s
6.9K, 84% thinking3.9K, 78% thinking
7025.5s
Agents
409m 2s
11.8K, 97% thinking3.7K, 61% thinking
6139.5s
Structured Extraction
433m 17s
4.4K, 92% thinking2.6K, 83% thinking
9013.5s
Coding
166m 54s
9.2K, 49% thinking6.8K, 76% thinking
8630.6s
Grounded Answers
433m 22s
4.5K, 92% thinking2.2K, 78% thinking
7613.9s
Instruction Following
466m 5s
8K, 94% thinking4.3K, 82% thinking
9431.5s
Business Logic
333m 55s
5.2K, 81% thinking5.5K, 95% thinking
6726.0s
Security & permissions
433m 47s
4.9K, 91% thinking2.7K, 70% thinking
6723.4s
Diagnosis & investigation
06m 39s
8.7K, 94% thinking2.3K, 50% thinking
1725.5s

What you'd run

The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.

SpecAB
Speed
23 tok/s
225 tok/s
Machine
Apple M5 Pro, 48 GB
Hosted
Memory at 32K
10.2 GB
—
Context
256K
1M (better)
Cost per run
Not measured
$0.42
Cost per case
Not measured
$0.0028
Time per case
5m 15s
25.5s (better)
Quantization
IQ2_XS
—
Harness
llama.cpp
openrouter

The race

1 lead change

Each model's running score as the test cases go by. The dashed line is a perfect run.

Underdog Saluki 27BClaude Haiku 5.5
025507510050100150Perfect run3370

Every test case

153 test cases

Each square is one test case, colored by the model that scored higher.

2 won by Underdog Saluki 27B65 won by Claude Haiku 5.586 tied