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

Mistral Large 3 2512 vs Mistral Medium 3.5 vs Mistral Small 4 vs Ministral 3 8B 2512 on sentiment of five reviews

Mistral AI models side by side on "Sentiment of five reviews": Ministral 3 8B 2512 scores 10/10; Ministral 3 8B 2512 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.

Mistral Large 3 2512

mistralai/mistral-large-2512

10/10
Latency
553ms
Cost
$8.6e-5
Per 1,000
$0.09

113 in · 20 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.

Mistral Medium 3.5

mistralai/mistral-medium-3-5

10/10
Latency
588ms
Cost
$0.00228
Per 1,000
$2.28

125 in · 279 out (290 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.

Mistral Small 4

mistralai/mistral-small-2603

10/10
Latency
402ms
Cost
$0.00016
Per 1,000
$0.16

125 in · 231 out (255 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.

Ministral 3 8B 2512

mistralai/ministral-8b-2512

10/10
top judge scorecheapest scoring 8+
Latency
328ms
Cost
$2.0e-5
Per 1,000
$0.02

113 in · 20 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.

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, Ministral 3 8B 2512 at $0.02 per 1,000 runs. If you need the top score, Ministral 3 8B 2512 at $0.02 per 1,000 runs.

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