Mistral Large 4 (high) hits open-weights Pareto frontier at 82K output tokens per task
ArtificialAnlys · x · 2026-10-29
Artificial Analysis published full Intelligence Index results for Mistral Large 4 (high): it uses 82K output tokens per task, sitting on the open-weights Pareto frontier, while higher-scoring open-weights models use 113K or more. Output tokens dropped 39% versus the Preview. Charts also cover AA-Briefcase, AA-Omniscience, Terminal-Bench, FrontierCode, HLE-Diamond and more.
More from Models
- AI Code Security Finally Improves: Veracode Benchmark Pass Rate Jumps From 56% to 62% — WeldPond · 2026-10-30
- Anthropic exec confirms $500 plan can nearly saturate most bug hunters' agent usage — rez0__ · 2026-10-30
- 40 days of coding-agent telemetry show a provider silently swapped model weights — Jipok_ · 2026-10-30
- Local Gemma 'completely good enough' for non-coding tasks, designer finds — michalmalewicz · 2026-10-30
- Gemini Pro silently downgraded to Flash all day citing high demand — General_Internet_511 · 2026-10-30
- Baseten releases joey-1, a 2B open-source decision model with single-forward-pass probabilities — baseten · 2026-10-30