DeepSeek V4.1 Flash 1017 vs Spark X2.6 4B

Overall
56
vs
Overall
15

DeepSeek V4.1 Flash 1017 is clearly better. It wins 82 of the 87 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. Spark X2.6 4B spends 1.4× as many thinking tokens per test case.

Thinking tokensAnswer tokens
TaskAB
Overall
5626.0s
5.3K, 91% thinking8.2K, 84% thinking
151m 3s
Agents
5826.7s
3.3K, 71% thinking11.5K, 97% thinking
141m 32s
Structured Extraction
8117.2s
4.2K, 93% thinking5.3K, 78% thinking
1039.5s
Coding
4840.8s
9.4K, 95% thinking9.1K, 48% thinking
41m 8s
Grounded Answers
7119.8s
4.4K, 91% thinking6.6K, 86% thinking
1050.2s
Instruction Following
7625.6s
5.5K, 91% thinking11.9K, 90% thinking
371m 29s
Business Logic
6726.6s
6.6K, 97% thinking4.9K, 86% thinking
1036.3s
Security & permissions
4826.6s
4.7K, 87% thinking7K, 94% thinking
3154.3s
Diagnosis & investigation
020.2s
3.2K, 74% thinking11.6K, 98% thinking
01m 30s

What you'd run

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

SpecAB
Speed
243 tok/s
136 tok/s
Machine
Hosted
RTX 5090, 32 GB
Memory at 32K
—
9.4 GB
Context
1M (better)
605K
Cost per run
$0.75 (better)
$1.61 est.
Cost per case
$0.0049 (better)
$0.011 est.
Time per case
26.0s (better)
1m 3s
Quantization
—
BF16
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.

DeepSeek V4.1 Flash 1017Spark X2.6 4B
0255075100501001505615

Every test case

153 test cases

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

82 won by DeepSeek V4.1 Flash 10175 won by Spark X2.6 4B66 tied