Skip to content

Benchmarks

Sources
8
Entries tracked
22,308
Last sync
35 min
All sources syncing normally
  • Arena · Text36 minutes ago
  • Arena · WebDev36 minutes ago
  • Arena · Vision36 minutes ago
  • Arena · Agent35 minutes ago
  • GPQA Diamond59 minutes ago
  • SWE-bench59 minutes ago
  • Terminal-Bench59 minutes ago
  • ARC-AGI-259 minutes ago

mistral-large-4-0

55±2

52interval57

Mistral AIswing #55–#288

Overall ×1WebDev Arena ×1Vision Arena ×1Factuality Arena ×1Search Arena ×1Document Arena ×1Agent Arena ×1GPQA Diamond ×1AIME (math) ×1FrontierMath ×1SimpleQA Verified ×1ARC-AGI-2 ×1Humanity's Last Exam ×1SimpleBench ×1LiveBench ×1BFCL v4 (function calling) ×1dormantSWE-bench Verified (live board) ×1Terminal-Bench 4.0 ×1MMLU-Pro (Artificial Analysis) ×1LiveCodeBench (Artificial Analysis) ×1IFBench (Artificial Analysis) ×1HHEM Hallucination (Vectara) ×18 of 1034 models
ModelOrgIntervalSwingiiiiiiiiiiiiiiiiiiiiiiAdd to compare
272mistral-large-4-0Mistral AI—$0.68 / $2.0955.1 60.3Ranked 55.1 = (3 × 60.3 + 3 × 50) ÷ 6. 60.3 is the mean percentile over the 3 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50.52–57733/22#55–288———————7689—16———————————
348mistral-large-4mistralOct 2026—52.3 54.1Ranked 52.3 = (4 × 54.1 + 3 × 50) ÷ 7. 54.1 is the mean percentile over the 4 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50.49–56504/22#51–3487573—43——25———————————————
516mistral-large-3mistralOct 2025—47.1 45.9Ranked 47.1 = (7 × 45.9 + 3 × 50) ÷ 10. 45.9 is the mean percentile over the 7 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50.46–49627/22#132–5166794644——————————————705431—
606mistral-large-2411mistralNov 2024—44.2 41.7Ranked 44.2 = (7 × 41.7 + 3 × 50) ÷ 10. 41.7 is the mean percentile over the 7 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50.42–46867/22#239–60635——————36237————4059—————93
722Mistral Large 2 (Nov '24)mistral——41.4 32.8Ranked 41.4 = (3 × 32.8 + 3 × 50) ÷ 6. 32.8 is the mean percentile over the 3 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50.—213/22———————————————————413820—
915mistral-large-2407mistralJul 2024$2 / $636.9 29.0Ranked 36.9 = (5 × 29.0 + 3 × 50) ÷ 8. 29.0 is the mean percentile over the 5 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50.35–38305/22#228–91537——————3325————1040———————
979mistral-large-2402mistralFeb 2024—32.4 19.2Ranked 32.4 = (4 × 19.2 + 3 × 50) ÷ 7. 19.2 is the mean percentile over the 4 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50.31–34164/22#291–97924——————209—————25———————
984mistral-largeMistral—$2 / $632.1 14.1Ranked 32.1 = (3 × 14.1 + 3 × 50) ÷ 6. 14.1 is the mean percentile over the 3 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50.—223/22———————————————1———1923——

Blend is coverage-shrunk; the raw composite is shown greyed beside it · A low badge means fewer than 3 boards scored this model

The few things in AI and quantum that actually mattered this week — honestly summarised.

One email a week. Unsubscribe in one click. No tracking, no sharing.