mistralai/mistral-small-2603
Mistral Small 4 (Reasoning)Release Date
Mar 16th, 2026Context Size
265kReasoning
YesBenchmark Cost
$1.29Speed
144.6 tok/sCategories
Subcategories
Bad Writing Habits
Detects common prose quality anti-patterns in AI-generated creative writing, including passive voice, past progressive overuse, weak dialogue tags, filter words, purple prose, cliches, AI-ism words/adverbs/names, and more.
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| Detailed Writing Rules | ||||||
| 80 | 76 | 76 | 75 | 72 | 76% | |
| 86 | 85 | 84 | 82 | 78 | 83% | |
| 88 | 87 | 86 | 85 | 80 | 85% | |
| 88 | 83 | 82 | 82 | 81 | 83% | |
| 85 | 84 | 83 | 83 | 81 | 83% | |
| 86 | 84 | 83 | 82 | 77 | 82% | |
| Detailed Writing Rules | 82.13% | |||||
| genre | ||||||
| 78 | 73 | 72 | 71 | 70 | 73% | |
| 85 | 81 | 80 | 79 | 73 | 80% | |
| 87 | 82 | 80 | 79 | 77 | 81% | |
| 87 | 86 | 83 | 82 | 78 | 83% | |
| 85 | 82 | 82 | 81 | 79 | 82% | |
| 89 | 84 | 83 | 83 | 74 | 83% | |
| genre | 80.24% | |||||
| Novelcrafter Default Prompt | ||||||
| 78 | 78 | 76 | 73 | 73 | 76% | |
| 85 | 85 | 84 | 79 | 77 | 82% | |
| 90 | 87 | 85 | 83 | 80 | 85% | |
| 89 | 85 | 84 | 82 | 78 | 84% | |
| 90 | 88 | 83 | 83 | 79 | 85% | |
| 87 | 86 | 85 | 82 | 79 | 84% | |
| Novelcrafter Default Prompt | 82.44% | |||||
| 81.60% | ||||||
Codex Extraction
Evaluates a model's ability to extract structured codex entries (characters, locations, objects, lore) from prose passages and return them as well-formed XML.
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 92 | 90 | 90 | 89 | 87 | 90% | |
| 94 | 93 | 90 | 90 | 90 | 91% | |
| 94 | 94 | 86 | 86 | 85 | 89% | |
| 96 | 94 | 92 | 88 | 86 | 91% | |
| 90.28% | ||||||
Codex Red Herring (False Positive Detection)
Tests whether models correctly report "no violations" when a codex is fully consistent with the prose passage. Models that hallucinate false violations (false positives) fail. Uses a 2×2 matrix of text length × codex size, with bare and detailed-entry variants.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| basic entries | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 17 | 92% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 25 | 25 | 25 | 17 | 69% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 25 | 93% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| basic entries | 88.33% | ||||||||||
| detailed entries | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 25 | 25 | 25 | 17 | 17 | 61% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 25 | 25 | 25 | 78% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 25 | 93% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 25 | 17 | 17 | 76% | |
| detailed entries | 76.67% | ||||||||||
| 82.50% | |||||||||||
Codex Violation Detection
Detects factual inconsistencies between a story bible and prose passages. The model must output structured XML identifying each violation with paragraph number and substring.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| matrix | |||||||||||
| 81 | 81 | 80 | 80 | 79 | 79 | 78 | 76 | 75 | 73 | 78% | |
| 93 | 91 | 90 | 89 | 88 | 88 | 88 | 81 | 79 | 78 | 87% | |
| 93 | 88 | 84 | 84 | 84 | 83 | 80 | 80 | 75 | 71 | 82% | |
| 97 | 97 | 93 | 93 | 93 | 88 | 88 | 88 | 84 | 83 | 90% | |
| matrix | 84.44% | ||||||||||
| tiers | |||||||||||
| 100 | 100 | 93 | 93 | 93 | 93 | 91 | 91 | 91 | 83 | 93% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 92 | 86 | 79 | 72 | 93% | |
| 94 | 91 | 88 | 86 | 86 | 82 | 82 | 82 | 79 | 73 | 84% | |
| 100 | 97 | 97 | 97 | 97 | 93 | 93 | 93 | 93 | 76 | 94% | |
| tiers | 90.98% | ||||||||||
| 87.71% | |||||||||||
Data extraction
Extract key details from a given block of text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 60% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 80% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 40% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 90.00% | |||||||||||
Dialogue tags
Various tasks related to dialogue tags in text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| dialogue-200 | |||||||||||
| 100 | 81 | 59 | 50 | 50 | 48 | 43 | 2 | 0 | 0 | 43% | |
| 98 | 72 | 54 | 50 | 50 | 49 | 44 | 21 | 7 | 1 | 44% | |
| 98 | 60 | 50 | 50 | 49 | 48 | 0 | 0 | 0 | 0 | 36% | |
| dialogue-200 | 41.11% | ||||||||||
| dialogue-500 | |||||||||||
| 18 | 12 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3% | |
| 53 | 50 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11% | |
| 48 | 45 | 24 | 20 | 19 | 16 | 2 | 0 | 0 | 0 | 17% | |
| dialogue-500 | 10.38% | ||||||||||
| Ungrouped | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 36.35% | |||||||||||
Language Comprehension
Does the model understand more than just English?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0% | |
| 100 | 100 | 100 | 0 | 0 | 60% | |
| 100 | 100 | 0 | 0 | 0 | 40% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 50.00% | ||||||
Language Writing
Can the model generate text in different languages?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 92 | 81 | 95% | |
| 100 | 100 | 98 | 53 | 0 | 70% | |
| 100 | 100 | 91 | 50 | 50 | 78% | |
| 100 | 100 | 100 | 73 | 0 | 75% | |
| 100 | 89 | 0 | 0 | 0 | 38% | |
| 71.06% | ||||||
N-Length Sentences
Write sentences with exactly N words
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 100 | 98 | 97 | 96 | 94 | 94 | 91 | 97% | |
| 100 | 100 | 97 | 90 | 87 | 80 | 75 | 65 | 58 | 50 | 80% | |
| 100 | 100 | 100 | 100 | 94 | 93 | 90 | 90 | 89 | 84 | 94% | |
| 90.42% | |||||||||||
Novel outline
Handle questions about the outline of a novel in various formats
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| outline-count | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 90% | |
| outline-count | 96.67% | ||||||||||
| pov-count | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 50 | 50 | 50 | 50 | 0 | 70% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 70% | |
| 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 50% | |
| pov-count | 63.33% | ||||||||||
| 80.00% | |||||||||||
Text Replacement
Tests deterministic text transformations: renaming characters/locations, expanding contractions, tense rewriting, POV shifts, gender swaps, combined transformations, and word avoidance. Scored by checking each expected change independently.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | Total |
|---|---|---|---|---|---|---|---|---|
| Generic Prompt | ||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 99 | 98 | 98 | 98 | 96 | 96 | 25 | 87% | |
| 100 | 100 | 99 | 99 | 98 | 98 | 95 | 99% | |
| 100 | 100 | 100 | 100 | 100 | 96 | 96 | 99% | |
| 100 | 100 | 99 | 99 | 95 | 73 | 37 | 86% | |
| 93 | 91 | 91 | 90 | 86 | 79 | 78 | 87% | |
| 100 | 100 | 100 | 99 | 85 | 68 | 68 | 89% | |
| 100 | 99 | 97 | 96 | 93 | 93 | 90 | 95% | |
| Generic Prompt | 93.50% | |||||||
| Specific Prompt | ||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 97 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 99 | 99 | 96 | 93 | 89 | 83 | 94% | |
| 100 | 99 | 99 | 99 | 99 | 98 | 69 | 95% | |
| 100 | 100 | 100 | 100 | 100 | 96 | 96 | 99% | |
| 100 | 100 | 99 | 99 | 99 | 99 | 99 | 99% | |
| 93 | 93 | 93 | 92 | 90 | 89 | 40 | 84% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 65 | 95% | |
| 100 | 100 | 100 | 100 | 100 | 97 | 95 | 99% | |
| Specific Prompt | 96.09% | |||||||
| 94.79% | ||||||||
Tool usage within Novelcrafter
Output messages that are related to tool usage within Novelcrafter
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100.00% | |||||||||||
Voice/dialogue sheets
Extract dialogue from given text as voice sheets.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 60% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 70% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 80% | |
| 48.00% | |||||||||||
Write N of X
Write exactly N words/sentences/paragraphs...
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| paragraphs | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| paragraphs | 100.00% | ||||||||||
| sentences | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 54 | 95% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 98 | 77 | 77 | 0 | 85% | |
| sentences | 96.06% | ||||||||||
| words | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 98 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 98 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 54 | 27 | 27 | 2 | 0 | 61% | |
| 100 | 92 | 77 | 27 | 27 | 9 | 9 | 2 | 0 | 0 | 34% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| words | 58.94% | ||||||||||
| 82.69% | |||||||||||