Mellum2.1 Thinking vs Claude Haiku 5.5
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. Mellum2.1 Thinking spends 2.1× as many thinking tokens per test case.
TaskAMellum2.1 ThinkingBClaude Haiku 5.5
Overall
91m 56s
7025.5s
Agents
92m 3s
6139.5s
Structured Extraction
51m 36s
9013.5s
Coding
52m 11s
8630.6s
Grounded Answers
131m 24s
7613.9s
Instruction Following
283m 10s
9431.5s
Business Logic
01m 39s
6726.0s
Security & permissions
81m 40s
6723.4s
Diagnosis & investigation
01m 15s
1725.5s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecAMellum2.1 ThinkingBClaude Haiku 5.5
Speed
90 tok/s
225 tok/s
Machine
Apple M5 Pro, 48 GB
Hosted
Memory at 32K
12.9 GB
—
Context
128K
1M (better)
Cost per run
$2.46 est.
$0.42 (better)
Cost per case
$0.016 est.
$0.0028 (better)
Time per case
1m 56s
25.5s (better)
Quantization
Q8_0
—
Harness
llama.cpp
openrouter
The race
Each model's running score as the test cases go by. The dashed line is a perfect run.
Every test case
Each square is one test case, colored by the model that scored higher.
Agents
Structured Extraction
Coding
Grounded Answers
Instruction Following
Business Logic
Security & permissions
Diagnosis & investigation