mistralai/mistral-medium-3-5
Mistral Medium 3.5 (Reasoning)Release Date
Apr 30th, 2026Context Size
262kReasoning
YesBenchmark Cost
$5.73Speed
101.8 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 | ||||||
| 81 | 79 | 76 | 75 | 72 | 77% | |
| 83 | 81 | 80 | 79 | 77 | 80% | |
| 90 | 89 | 88 | 84 | 81 | 86% | |
| 83 | 82 | 82 | 78 | 78 | 81% | |
| 90 | 87 | 83 | 81 | 80 | 84% | |
| 87 | 84 | 82 | 80 | 74 | 82% | |
| Detailed Writing Rules | 81.49% | |||||
| genre | ||||||
| 80 | 78 | 77 | 74 | 72 | 76% | |
| 90 | 86 | 84 | 80 | 80 | 84% | |
| 85 | 81 | 80 | 80 | 79 | 81% | |
| 85 | 79 | 79 | 78 | 75 | 79% | |
| 87 | 86 | 81 | 78 | 77 | 82% | |
| 84 | 83 | 82 | 81 | 80 | 82% | |
| genre | 80.69% | |||||
| Novelcrafter Default Prompt | ||||||
| 80 | 79 | 78 | 76 | 70 | 76% | |
| 83 | 81 | 80 | 77 | 75 | 79% | |
| 89 | 84 | 84 | 84 | 80 | 84% | |
| 85 | 84 | 83 | 81 | 81 | 83% | |
| 88 | 87 | 86 | 86 | 82 | 86% | |
| 86 | 83 | 82 | 82 | 82 | 83% | |
| Novelcrafter Default Prompt | 81.84% | |||||
| 81.34% | ||||||
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 |
|---|---|---|---|---|---|---|
| 96 | 96 | 96 | 96 | 96 | 96% | |
| 96 | 96 | 96 | 96 | 96 | 96% | |
| 97 | 97 | 97 | 97 | 97 | 97% | |
| 96 | 96 | 96 | 96 | 95 | 96% | |
| 96.29% | ||||||
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 | |||||||||||
| 50 | 35 | 32 | 31 | 30 | 28 | 27 | 27 | 27 | 2 | 29% | |
| 42 | 38 | 35 | 35 | 33 | 32 | 31 | 31 | 17 | 17 | 31% | |
| 50 | 50 | 50 | 50 | 42 | 42 | 30 | 17 | 17 | 13 | 36% | |
| 50 | 42 | 38 | 35 | 17 | 17 | 17 | 17 | 17 | 13 | 26% | |
| basic entries | 30.46% | ||||||||||
| detailed entries | |||||||||||
| 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50% | |
| 38 | 35 | 35 | 33 | 31 | 31 | 17 | 13 | 10 | 10 | 25% | |
| 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 42 | 49% | |
| 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 17 | 17 | 43% | |
| detailed entries | 41.92% | ||||||||||
| 36.19% | |||||||||||
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 | |||||||||||
| 83 | 79 | 75 | 72 | 72 | 71 | 69 | 69 | 68 | 67 | 72% | |
| 96 | 94 | 94 | 94 | 92 | 92 | 92 | 92 | 92 | 90 | 93% | |
| 88 | 83 | 83 | 83 | 83 | 83 | 83 | 79 | 79 | 79 | 83% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| matrix | 86.94% | ||||||||||
| tiers | |||||||||||
| 83 | 83 | 83 | 83 | 76 | 76 | 76 | 76 | 76 | 76 | 79% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 96 | 96 | 96 | 96 | 96 | 96 | 96 | 92 | 92 | 92 | 95% | |
| 95 | 92 | 92 | 92 | 88 | 87 | 87 | 83 | 83 | 83 | 88% | |
| tiers | 90.42% | ||||||||||
| 88.68% | |||||||||||
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% | |
| 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50% | |
| 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 | 50 | 50 | 50% | |
| 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 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 90.91% | |||||||||||
Dialogue tags
Various tasks related to dialogue tags in text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| dialogue-200 | |||||||||||
| 50 | 38 | 22 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 11% | |
| 79 | 32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11% | |
| 56 | 19 | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 22% | |
| dialogue-200 | 14.90% | ||||||||||
| dialogue-500 | |||||||||||
| 45 | 45 | 36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13% | |
| 50 | 28 | 15 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| 48 | 44 | 40 | 37 | 10 | 6 | 4 | 3 | 2 | 0 | 19% | |
| dialogue-500 | 13.96% | ||||||||||
| Ungrouped | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 26.65% | |||||||||||
Language Comprehension
Does the model understand more than just English?
| Scenario | #1 | #2 | #3 | #4 | #5 | 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% | |
| 100.00% | ||||||
Language Writing
Can the model generate text in different languages?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 100 | 80 | 96% | |
| 100 | 100 | 100 | 91 | 83 | 95% | |
| 50 | 46 | 45 | 44 | 44 | 46% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 88 | 98% | |
| 86.89% | ||||||
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 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 95 | 92 | 92 | 90 | 90 | 86 | 84 | 84 | 77 | 59 | 85% | |
| 59 | 51 | 42 | 35 | 30 | 20 | 15 | 7 | 0 | 0 | 26% | |
| 70.30% | |||||||||||
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% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| outline-count | 66.67% | ||||||||||
| pov-count | |||||||||||
| 100 | 100 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 0 | 55% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| pov-count | 21.67% | ||||||||||
| 44.17% | |||||||||||
Relationship tree
Extracts a deterministic XML family and relationship tree from cumulative literary prose.
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 78 | 76 | 73 | 70 | 69 | 73% | |
| 81 | 81 | 80 | 80 | 80 | 81% | |
| 76.84% | ||||||
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% | |
| 98 | 98 | 98 | 98 | 98 | 98 | 97 | 98% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 93 | 93 | 92 | 91 | 91 | 91 | 90 | 92% | |
| 99 | 99 | 99 | 99 | 99 | 99 | 99 | 99% | |
| 89 | 89 | 88 | 88 | 88 | 88 | 88 | 88% | |
| Generic Prompt | 97.36% | |||||||
| Specific Prompt | ||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 99 | 99 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 96 | 96 | 99% | |
| 93 | 93 | 93 | 92 | 92 | 92 | 91 | 92% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| Specific Prompt | 99.00% | |||||||
| 98.18% | ||||||||
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100.00% | |||||||||||
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 | 98 | 98 | 9 | 91% | |
| 77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8% | |
| sentences | 79.63% | ||||||||||
| words | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 92 | 92 | 92 | 92 | 92 | 96% | |
| 77 | 77 | 77 | 77 | 77 | 77 | 77 | 54 | 54 | 27 | 68% | |
| 98 | 92 | 92 | 92 | 9 | 0 | 0 | 0 | 0 | 0 | 38% | |
| 100 | 98 | 98 | 77 | 54 | 27 | 2 | 2 | 2 | 0 | 46% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| words | 49.64% | ||||||||||
| 72.79% | |||||||||||