Mistral AIproprietary
Released: 2025-11-12

Mistral Large 3

Mistral flagship European reasoning foundation model with native multilingual precision.

Intelligence Index
86.0/ 100
Calibrated multi-domain composite
Throughput Speed
60tok/sec
Output streaming throughput
Time To First Token
420ms
Initial chunk server latency
LiveBench Contam-Free
72.0%
September 2026 suite score

LiveBench Multi-Domain Evaluation Breakdown

Monthly refreshed contamination-free test sets
Logical Reasoning85.0%
Coding & Repo Repair73.0%
Mathematics (AIME)84.0%
Data Analysis & Tables78.0%
Language & Comprehension83.0%
Instruction Following88.0%

Sourced Benchmark Evaluations (3)

Verified performance across authoritative benchmarks with provenance tracking.
BenchmarkStatusScoreTrustDateSource TypeProvenance
ARC-AGI-2Nearing Saturation66.3%
75
2025-12-10independentSource ↗
SWE-bench VerifiedSaturated55.5%
25
2025-11-21independentSource ↗
IFEvalDeprecated88%
25
2025-11-16independentSource ↗
OpenAI Compatible API ExecutionAPI Ready
from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="mistral-large-3",
    messages=[{"role": "user", "content": "Evaluate multi-step logic problem"}],
    temperature=0.2
)
print(response.choices[0].message.content)

Evaluation & Sourcing Notes

Scores listed for Mistral Large 3 represent verified evaluations extracted from official research papers, independent evaluation suites (HELM, LMSYS, OpenCompass, LiveBench), and verified audit reports.

All benchmarks marked as saturated or deprecated reflect historical performance where the benchmark no longer provides active discriminative power.