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Classify · 5 checks · max 400 tokens · benched 2026-09-16

DeepSeek V4 Pro vs DeepSeek V4 Flash 0423 vs DeepSeek V4.1 Flash on sentiment of five reviews

DeepSeek models side by side on "Sentiment of five reviews": 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 classifier. Output exactly the requested lines and nothing else.

User

Label each review as positive, neutral or negative. Output five lines in the form "<number>: <label>" and nothing else.

1. Battery lasts two full days and the screen is gorgeous. Would buy again.
2. It arrived on Tuesday in a brown box.
3. Stopped charging after three weeks and support never replied.
4. Does what it says. Nothing special, nothing wrong.
5. The strap broke on day one and the app crashes constantly.

Rubric for the judge: Five correctly labelled lines in the exact format; review 2 and 4 are neutral; no explanation.

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
635ms
Cost
$0.00041
Per 1,000
$0.41

112 in · 204 out (183 reasoning) · 10 words · checks 5/5

  • regex
  • regex
  • regex
  • regex
  • max_words
1: positive
2: neutral
3: negative
4: neutral
5: negative

Judge: All five reviews correctly labeled in exact format with no extra commentary; reviews 2 and 4 properly identified as neutral.

DeepSeek V4 Flash 0423

deepseek/deepseek-v4-flash

10/10
top judge scorecheapest scoring 8+
Latency
580ms
Cost
$2.4e-5
Per 1,000
$0.02

112 in · 124 out (103 reasoning) · 10 words · checks 5/5

  • regex
  • regex
  • regex
  • regex
  • max_words
1: positive
2: neutral
3: negative
4: neutral
5: negative

Judge: All five reviews correctly labeled in exact format with no extra commentary; reviews 2 and 4 properly identified as neutral.

DeepSeek V4.1 Flash

deepseek/deepseek-v4.1-flash

10/10
Latency
985ms
Cost
$8.4e-5
Per 1,000
$0.08

138 in · 105 out (85 reasoning) · 10 words · checks 5/5

  • regex
  • regex
  • regex
  • regex
  • max_words
1: positive
2: neutral
3: negative
4: neutral
5: negative

Judge: All five reviews correctly labeled in exact format with no extra commentary; reviews 2 and 4 properly identified as neutral.

Frequently asked

What does this prompt test?

Classify: Five correctly labelled lines in the exact format; review 2 and 4 are neutral; no explanation. The deterministic checks are regex, regex, regex, regex, max_words.

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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