Mistral Large 4 vs Underdog Saluki 27B

Overall
28
vs
Overall
33

Underdog Saluki 27B is clearly better. It wins 28 of the 44 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. Underdog Saluki 27B spends 1.3× as many thinking tokens per test case.

Thinking tokensAnswer tokens
TaskAB
Overall
281m 56s
6.2K, 72% thinking6.9K, 84% thinking
335m 15s
Agents
1126.1s
795, no thinking11.8K, 97% thinking
409m 2s
Structured Extraction
153.78s
288, no thinking4.4K, 92% thinking
433m 17s
Coding
332m 48s
9.3K, 37% thinking9.2K, 49% thinking
166m 54s
Grounded Answers
382m 45s
8.1K, 89% thinking4.5K, 92% thinking
433m 22s
Instruction Following
693m 47s
12.9K, 84% thinking8K, 94% thinking
466m 5s
Business Logic
242m 40s
8.8K, 77% thinking5.2K, 81% thinking
333m 55s
Security & permissions
331m 9s
3.7K, 83% thinking4.9K, 91% thinking
433m 47s
Diagnosis & investigation
01m 19s
4.4K, 85% 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
56 tok/s
23 tok/s
Machine
Hosted
Apple M5 Pro, 48 GB
Memory at 32K
—
10.2 GB
Context
512K (better)
256K
Cost per run
$2.67
Not measured
Cost per case
$0.017
Not measured
Time per case
1m 56s (better)
5m 15s
Quantization
—
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.

Mistral Large 4Underdog Saluki 27B
025507510050100150Perfect run2833

Every test case

153 test cases

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

16 won by Mistral Large 428 won by Underdog Saluki 27B109 tied