Flint vs Underdog Saluki 27B

Overall
21
vs
Overall
33

Underdog Saluki 27B is clearly better. It wins 35 of the 45 test cases where they differ.

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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. Flint spends 1.7× as many thinking tokens per test case.

Thinking tokensAnswer tokens
TaskAB
Overall
211m 17s
10.9K, 90% thinking6.9K, 84% thinking
335m 15s
Agents
1447.7s
4.8K, 85% thinking11.8K, 97% thinking
409m 2s
Structured Extraction
291m 17s
10.9K, 87% thinking4.4K, 92% thinking
433m 17s
Coding
141m 19s
12K, 98% thinking9.2K, 49% thinking
166m 54s
Grounded Answers
2957.7s
8.7K, 93% thinking4.5K, 92% thinking
433m 22s
Instruction Following
352m 28s
22.2K, 93% thinking8K, 94% thinking
466m 5s
Business Logic
101m 20s
11.7K, 78% thinking5.2K, 81% thinking
333m 55s
Security & permissions
3552.6s
7.1K, 90% thinking4.9K, 91% thinking
433m 47s
Diagnosis & investigation
057.0s
7.3K, 99% thinking8.7K, 94% thinking
06m 39s

What you'd run

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

SpecAB
Speed
149 tok/s
23 tok/s
Machine
Hosted
Apple M5 Pro, 48 GB
Memory at 32K
—
10.2 GB
Context
256K
256K
Cost per run
Not measured
Not measured
Cost per case
Not measured
Not measured
Time per case
1m 17s (better)
5m 15s
Quantization
BF16
IQ2_XS
Harness
openrouter
llama.cpp

The race

No lead changes

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

FlintUnderdog Saluki 27B
0255075100501001502133

Every test case

153 test cases

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

10 won by Flint35 won by Underdog Saluki 27B108 tied