RankingInternal STEM preference vs GLM-5.3
Internal STEM preference vs GLM-5.3
- Bucket
- Supporting evidence
- Unit
- index
- Direction
- Higher is better
- Version
- —
- Display harness
- Introducing Mistral Large 4 — public preview
- Board
- https://mistral.ai/news/mistral-large-4/
The available records have no admitted matched comparison in the capability core. Raw results remain available below.
Compare published benchmark results with category weights →
Models
1–1 of 1 entries
| Model | Score | Harness | Evidence | Source-recorded date |
|---|---|---|---|---|
| Mistral Large 4Mistral | 69 weighted win rate percentReported settings & sourcePublic Mistral Large4 Preview. Effort, sampling and evaluation budgets are not stated. Internal expert preference assessment onmath/physics; source prints weighted win rate69%. Sample size and weighting formula unspecified. Provider-published lab_self_report; retained as launch evidence, not an independent board admission. Do not replace weighted win rate with the65% sum of positive-preference categories; comparator is GLM-5.3. Exact printed chart label; asset https://mistral.ai/_astro/ml4-vs-glm-5.3-%E2%80%94-stem-win-rate-breakdown%201_Z21ewlj.webp?dpl=6ac6a8353c2a68969e300fd2; asset SHA256 80c3f8474bb21a8f7f4eb2e19cff07627a34bc492413e4698f024880227056d5. Comparison limit: Provider publication; exact benchmark-specific configuration and independent evaluation provenance require separate review before matched-board admission. Introducing Mistral Large 4 — public preview · Capabilities deep-dive; Internal STEM preference vs GLM-5.3; chart 18 (mistral-chart-18.webp) · reviewed 2026-10-07 | Introducing Mistral Large 4 — public preview | lab self-report | 2026-10-07 |