Mistral AIproprietary
Released: 2024-07-24

Mistral Large 2

Foundation model evaluated on LiveBench September 2026 by Mistral AI.

Intelligence Index
84.2/ 100
Calibrated multi-domain composite
Throughput Speed
tok/sec
Output streaming throughput
Time To First Token
ms
Initial chunk server latency
LiveBench Contam-Free
75.2%
September 2026 suite score

LiveBench Multi-Domain Evaluation Breakdown

Monthly refreshed contamination-free test sets
Logical Reasoning79.8%
Coding & Repo Repair75.0%
Mathematics (AIME)78.5%
Data Analysis & Tables73.0%
Language & Comprehension72.8%
Instruction Following72.0%

Sourced Benchmark Evaluations (3)

Verified performance across authoritative benchmarks with provenance tracking.
BenchmarkStatusScoreTrustDateSource TypeProvenance
ARC-AGI-2Nearing Saturation62.2%
75
2024-08-21independentSource ↗
SWE-bench VerifiedSaturated57%
25
2024-08-02independentSource ↗
IFEvalDeprecated72%
25
2024-07-28independentSource ↗
OpenAI Compatible API ExecutionAPI Ready
from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="mistral-large-2407",
    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 2 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.