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

GPT-5.5 vs GPT-5.4 vs GPT-5.4 mini vs GPT-5.4 Nano vs GPT-5.3-Codex on sentiment of five reviews

OpenAI models side by side on "Sentiment of five reviews": GPT-5.4 Nano scores 10/10; GPT-5.4 Nano is the cheapest answer scoring 8+ at $0.05 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.

GPT-5.5

openai/gpt-5.5

10/10
Latency
388ms
Cost
$0.00224
Per 1,000
$2.24

118 in · 55 out (30 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.

GPT-5.4

openai/gpt-5.4

10/10
Latency
483ms
Cost
$0.00082
Per 1,000
$0.82

118 in · 35 out (10 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.

GPT-5.4 mini

openai/gpt-5.4-mini

10/10
Latency
2.6s
Cost
$0.00026
Per 1,000
$0.26

118 in · 37 out (12 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.

GPT-5.4 Nano

openai/gpt-5.4-nano

10/10
top judge scorecheapest scoring 8+
Latency
255ms
Cost
$5.2e-5
Per 1,000
$0.05

118 in · 23 out · 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.

GPT-5.3-Codex

openai/gpt-5.3-codex

10/10
Latency
379ms
Cost
$0.00101
Per 1,000
$1.01

118 in · 57 out (32 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, GPT-5.4 Nano at $0.05 per 1,000 runs. If you need the top score, GPT-5.4 Nano at $0.05 per 1,000 runs.

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