Atlas

Models

← All models

Mistral Medium 3.5

Mistral AI · 2026-04-29 · 127.7B parameters

Mistral Medium 3.5 is Mistral AI's dense, 128B-class open-weight multimodal model, released in April 2026 and optimized for agentic and coding use cases. It accepts text and image input, produces text, supports a 256K-token context window, and offers per-request configurable reasoning effort alongside native function calling and JSON output. The weights use Mistral's Modified MIT license, and Mistral says the model can be self-hosted on as few as four GPUs.

Benchmark scores

BenchmarkScore
AA-AnalystAgent (pass@1)30.0
AA-AnalystAgent (pass@5)47.5
AA-AnalystAgent (pass^5)12.5
AA-Briefcase Elo524
AA-Briefcase v1.1 Elo523
AA-LCR61.0
AA-LCR v1.169.3
AA-Omniscience Index-36.8
AA-Omniscience v1.1 Accuracy23.0
AA-Omniscience v1.1 Hallucination Rate80.2
AA-Omniscience v1.1 Index-38.7
ALE-Bench1131
Artificial Analysis Agentic Index19.0
Artificial Analysis Coding Index46.9
Artificial Analysis Intelligence Index29.9
Artificial Analysis Intelligence Index v4.314.9
Artificial Analysis Intelligence Index v4.3.214.2
Artificial Analysis Omniscience Accuracy24.7
Artificial Analysis Omniscience Hallucination Rate81.6
Artificial Analysis Openness Index33.3
Artificial Analysis Progress Index v1257
AURORA Multilingual Terminal-Bench20.0
AURORA Multilingual Terminal-Bench (Arabic)20.0
AURORA Multilingual Terminal-Bench (Chinese)22.6
AURORA Multilingual Terminal-Bench (Czech)18.2
AURORA Multilingual Terminal-Bench (German)24.9
AURORA Multilingual Terminal-Bench (Hindi)7.1
AURORA Multilingual Terminal-Bench (Japanese)19.4
AURORA Multilingual Terminal-Bench (Korean)18.9
AURORA Multilingual Terminal-Bench (Serbian)21.1
Loading Atlas data…