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Code fix · 4 checks · max 600 tokens · benched 2026-09-16

DeepSeek V4 Pro vs DeepSeek V4 Flash 0423 vs DeepSeek V4.1 Flash on fix an off-by-one in python

DeepSeek models side by side on "Fix an off-by-one in Python": DeepSeek V4 Flash 0423 scores 10/10; DeepSeek V4 Flash 0423 is the cheapest answer scoring 8+ at $0.02 per 1,000 runs. Outputs, checks, judge reasons, latency and cost.

The prompt every model received

System

You are a senior engineer. Reply with code only unless asked otherwise.

User

This function should return the arithmetic mean of a non-empty list of numbers, but its result is wrong. Fix the bug with the smallest possible change and return the complete corrected function only, in a Python code block.

def average(nums):
    total = 0
    for n in nums:
        total += n
    return total / (len(nums) - 1)

Rubric for the judge: Returns the full function with the divisor corrected to len(nums) and no other behavioural changes.

Side by side

Every cell is one OpenRouter call at temperature 0 with the prompt's token cap and reasoning effort "low" where the model supports it. Cost is usage × the catalogue rate in models.json. Quality is one judge call to anthropic/claude-haiku-4.5 against the prompt's rubric, cached per prompt version.

DeepSeek V4 Pro

deepseek/deepseek-v4-pro

10/10
Latency
638ms
Cost
$0.00032
Per 1,000
$0.32

94 in · 147 out (119 reasoning) · 18 words · checks 4/4

  • contains
  • regex
  • not_contains
  • not_contains
```python
def average(nums):
    total = 0
    for n in nums:
        total += n
    return total / len(nums)
```

Judge: The output correctly fixes the bug by changing the divisor from len(nums) - 1 to len(nums), returns the complete function in a Python code block, and makes no other changes.

DeepSeek V4 Flash 0423

deepseek/deepseek-v4-flash

10/10
top judge scorecheapest scoring 8+
Latency
2.1s
Cost
$1.6e-5
Per 1,000
$0.02

94 in · 74 out (40 reasoning) · 18 words · checks 4/4

  • contains
  • regex
  • not_contains
  • not_contains
```python
def average(nums):
    total = 0
    for n in nums:
        total += n
    return total / len(nums)
```

Judge: The output correctly fixes the bug by changing the divisor from len(nums) - 1 to len(nums), returns the complete function in a Python code block, and makes no other changes.

DeepSeek V4.1 Flash

deepseek/deepseek-v4.1-flash

10/10
Latency
432ms
Cost
$7.9e-5
Per 1,000
$0.08

120 in · 102 out (69 reasoning) · 18 words · checks 4/4

  • contains
  • regex
  • not_contains
  • not_contains
```python
def average(nums):
    total = 0
    for n in nums:
        total += n
    return total / len(nums)
```

Judge: The output correctly fixes the bug by changing the divisor from len(nums) - 1 to len(nums), returns the complete function in a Python code block, and makes no other changes.

Frequently asked

What does this prompt test?

Code fix: Returns the full function with the divisor corrected to len(nums) and no other behavioural changes. The deterministic checks are contains, regex, not_contains, not_contains.

Which model should I pick for this task?

If the judge's bar of 8/10 is good enough for you, DeepSeek V4 Flash 0423 at $0.02 per 1,000 runs. If you need the top score, DeepSeek V4 Flash 0423 at $0.02 per 1,000 runs.

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