Benchmark
Mistral Medium 3.5
- Mistral
- Veröffentlichung · 29. April 2026
- Offene Gewichte
- Reasoning
Intelligenz
Intelligence Index
#126 von 266- 15,616
Qwen3.5 122B A10B (Reasoning) - 15,215
Qwen3.6 35B A3B (Non-reasoning) - 14,715
Gemma 4 31B (Reasoning) - 14,314
ERNIE 5.0 Thinking Preview - 14,214
Nova 2.0 Pro Preview (Medium) - 14,214
Mistral Medium 3.5 - 14,214
Gemma 4 12B (Reasoning) - 13,914
Gemma 4 31B (Non-reasoning) - 13,614
Nova 2.0 Omni (Medium) - 13,413
Nova 2.0 Lite (High)
Daten von Artificial Analysis- AA-Omniscience Accuracy24,7%#92
- Humanity's Last Exam13,8%#124
- Terminal-Bench 4.00%#96
- AA-LCR69,3%#111
- SciCode40,2%#102
- CritPt0%#143
- AA-AnalystAgent12,5%#23
- MMMU-Pro64,9%#74
- GPQA Diamond74,9%#95
- IFBench68,8%#21
- τ²-Bench Telecom94,2%#5
- τ²-Bench Banking15,1%#59
- Terminal-Bench Hard33,3%#17
Mistral Medium 3.5Median
Daten von Artificial AnalysisGeschwindigkeit und Preis
Latenz
Sekunden bis zum ersten Token · #95 von 162- 2,32,3
Hermes 4 - Llama-3.1 405B (Non-reasoning) - 2,32,3
Qwen3.7 Plus - 2,32,3
Qwen3.5 122B A10B (Non-reasoning) - 2,32,3
Hermes 4 - Llama-3.1 405B (Reasoning) - 2,32,3
GPT-6 Astra (Low) - 2,42,4
Mistral Medium 3.5 - 2,42,4
GLM-5.3 (Max) - 2,52,5
GPT-6 Luna (Low) - 2,52,5
Phi-4 - 2,62,6
LongCat 2.0
Daten von Artificial AnalysisÄhnliche Modelle