Beam 1.0 501B A23B vs Mellum2.1 Thinking
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 1.8× as many thinking tokens per test case.
TaskABeam 1.0 501B A23BBMellum2.1 Thinking
Overall
5717.2s
91m 56s
Agents
5521.8s
92m 3s
Structured Extraction
819.98s
51m 36s
Coding
4819.9s
52m 11s
Grounded Answers
6911.6s
131m 24s
Instruction Following
7820.9s
283m 10s
Business Logic
5714.0s
01m 39s
Security & permissions
5120.6s
81m 40s
Diagnosis & investigation
1724.3s
01m 15s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecABeam 1.0 501B A23BBMellum2.1 Thinking
Speed
274 tok/s
90 tok/s
Machine
Hosted
Apple M5 Pro, 48 GB
Memory at 32K
—
12.9 GB
Context
1M (better)
128K
Cost per run
$0.83 (better)
$2.46 est.
Cost per case
$0.0054 (better)
$0.016 est.
Time per case
17.2s (better)
1m 56s
Quantization
FP8
Q8_0
Harness
openrouter
llama.cpp
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