Mistral AI model product
Mistral Large 4 is a 1T-parameter multimodal MoE model from Mistral AI for reasoning, coding, and agentic work.
Updated Oct 23, 2026. Default version: Mistral Large 4
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Mistral Large 4.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkSciCode | Score91.80% | Rank01 | Participants31 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkCoding Agent Index | Score49.80% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkDense200 | Score42.00% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkFinch (FinWorkBench) | Score67.40% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkB3 AI Security Benchmark | Score93.30% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkKORABench | Score1.69 points | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkSurge AI Coding Quality | Score3.74 points | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkAutomationBench | Score59.90% | Rank02 | Participants27 | Percentile96.15% | EvidenceC | Evaluated |
| BenchmarkCyBench | Score93.00% | Rank02 | Participants3 | Percentile50.00% | EvidenceC | Evaluated |
| BenchmarkSWE Atlas - Codebase QnA | Score59.40% | Rank02 | Participants7 | Percentile83.33% | EvidenceC | Evaluated |
| BenchmarkAA-Briefcase | Score1,393.00 points | Rank03 | Participants4 | Percentile33.33% | EvidenceC | Evaluated |
| BenchmarkHarvey's Legal Agent Benchmark | Score15.80% | Rank03 | Participants4 | Percentile33.33% | EvidenceC | Evaluated |
| BenchmarkChartQAPro | Score63.10% | Rank04 | Participants4 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkFinance Agent v2 | Score54.70% | Rank06 | Participants29 | Percentile82.14% | EvidenceC | Evaluated |
| BenchmarkLiveBench math (2026-06-25) | Score93.58 score | Rank10 | Participants43 | Percentile78.57% | EvidenceB | EvaluatedN/A |
| BenchmarkCyberGym | Score82.00% | Rank12 | Participants23 | Percentile50.00% | EvidenceC | Evaluated |
| BenchmarkGDP.pdf | Score18.60% | Rank14 | Participants14 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkLM Arena Agent Bash Recovery Steps | Score1.78% | Rank20 | Participants44 | Percentile55.81% | EvidenceA | Evaluated |
| BenchmarkLM Arena Agent Steerability | Score0.35% | Rank20 | Participants44 | Percentile55.81% | EvidenceA | Evaluated |
| BenchmarkLM Arena Agent Task Outcome Explicit | Score0.91% | Rank20 | Participants44 | Percentile55.81% | EvidenceA | Evaluated |
| BenchmarkTerminal-Bench 4.0 | Score28.30% | Rank21 | Participants29 | Percentile28.57% | EvidenceC | Evaluated |
| BenchmarkLiveBench reasoning (2026-06-25) | Score83.94 score | Rank24 | Participants43 | Percentile45.24% | EvidenceB | EvaluatedN/A |
| BenchmarkLM Arena Agent Bash Reliability | Score1.06% | Rank24 | Participants44 | Percentile46.51% | EvidenceA | Evaluated |
| BenchmarkLM Arena Agent Bash Reliability No Prereq | Score2.14% | Rank25 | Participants45 | Percentile45.45% | EvidenceA | Evaluated |
| BenchmarkLM Arena Agent Praise Complaint | Score-4.40% | Rank28 | Participants44 | Percentile37.21% | EvidenceA | Evaluated |
| BenchmarkLM Arena Agent Leaderboard | Score-4.55% | Rank31 | Participants44 | Percentile30.23% | EvidenceA | Evaluated |
| BenchmarkLM Arena Webdev | Score1,542.52 rating | Rank31 | Participants107 | Percentile71.70% | EvidenceA | Evaluated |
| BenchmarkLiveBench instruction (2026-06-25) | Score64.82 score | Rank31 | Participants43 | Percentile28.57% | EvidenceB | EvaluatedN/A |
| BenchmarkDeepSWE 1.1 | Score61.70% | Rank32 | Participants51 | Percentile38.00% | EvidenceC | Evaluated |
| BenchmarkLM Arena Vision | Score1,272.17 rating | Rank33 | Participants113 | Percentile71.43% | EvidenceA | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenatext | Categoryfrench | Rank18 | Rating / score1,492.29 | Votes395 | ObservationsN/A | Result date |
| Arenaagent bash recovery steps | Categoryoverall | Rank20 | Rating / score0.02 | VotesN/A | Observations6K | Result date |
| Arenaagent steerability | Categoryoverall | Rank20 | Rating / score0.00 | VotesN/A | Observations40.5K | Result date |
| Arenaagent task outcome explicit | Categoryoverall | Rank20 | Rating / score0.01 | VotesN/A | Observations4.9K | Result date |
| Arenatext style control | Categoryfrench | Rank24 | Rating / score1,494.48 | Votes395 | ObservationsN/A | Result date |
| Arenaagent bash reliability | Categoryoverall | Rank24 | Rating / score0.01 | VotesN/A | Observations89.7K | Result date |
| Arenaagent bash reliability no prereq | Categoryoverall | Rank25 | Rating / score0.02 | VotesN/A | Observations43K | Result date |
| Arenavision | Categoryenglish | Rank27 | Rating / score1,283.20 | Votes355 | ObservationsN/A | Result date |
| Arenaagent praise complaint | Categoryoverall | Rank28 | Rating / score-0.04 | VotesN/A | Observations2.1K | Result date |
| Arenawebdev | Categorywebdev-react | Rank28 | Rating / score1,558.56 | Votes1,783 | ObservationsN/A | Result date |
| Arenaagent | Categoryoverall | Rank31 | Rating / score-0.05 | VotesN/A | Observations1M | Result date |
| Arenavision | Categoryocr | Rank31 | Rating / score1,284.36 | Votes671 | ObservationsN/A | Result date |
| Arenawebdev | Categoryoverall | Rank31 | Rating / score1,542.52 | Votes2,832 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev | Rank31 | Rating / score1,542.52 | Votes2,832 | ObservationsN/A | Result date |
| Arenavision | Categorydiagram | Rank33 | Rating / score1,287.84 | Votes243 | ObservationsN/A | Result date |
| Arenavision | Categoryoverall | Rank33 | Rating / score1,272.17 | Votes1,008 | ObservationsN/A | Result date |
| Arenavision style control | Categoryenglish | Rank35 | Rating / score1,262.87 | Votes355 | ObservationsN/A | Result date |
| Arenavision style control | Categoryocr | Rank37 | Rating / score1,270.16 | Votes671 | ObservationsN/A | Result date |
| Arenatext | Categorymath | Rank38 | Rating / score1,468.79 | Votes488 | ObservationsN/A | Result date |
| Arenavision style control | Categorydiagram | Rank38 | Rating / score1,281.57 | Votes243 | ObservationsN/A | Result date |
| Arenavision style control | Categoryoverall | Rank39 | Rating / score1,251.94 | Votes1,008 | ObservationsN/A | Result date |
| Arenatext | Categoryspanish | Rank40 | Rating / score1,455.14 | Votes320 | ObservationsN/A | Result date |
| Arenaagent tool hallucination | Categoryoverall | Rank44 | Rating / score-0.18 | VotesN/A | Observations876K | Result date |
| Arenatext | Categorycoding | Rank44 | Rating / score1,478.33 | Votes2,115 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry business and management and financial operations | Rank44 | Rating / score1,439.32 | Votes1,568 | ObservationsN/A | Result date |
| Arenatext | Categoryjapanese | Rank44 | Rating / score1,415.17 | Votes194 | ObservationsN/A | Result date |
| Arenatext style control | Categorymath | Rank45 | Rating / score1,468.30 | Votes488 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev-html | Rank45 | Rating / score1,487.05 | Votes374 | ObservationsN/A | Result date |
| Arenatext factuality | Categorycoding | Rank49 | Rating / score1,503.28 | Votes2,096 | ObservationsN/A | Result date |
| Arenatext | Categorychinese | Rank50 | Rating / score1,491.97 | Votes825 | ObservationsN/A | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderRequesty | Provider model IDmistral-large-4 | Regionglobal | Input / 1M$0.68 | Output / 1M$2.09 | Context524.3K | Updated |
| ProviderNanoGPT | Provider model IDmistralai/mistral-large-4 | Regionglobal | Input / 1M$0.68 | Output / 1M$2.09 | Context524.3K | Updated |
| ProviderOllama Cloud | Provider model IDmistral-large-4 | Regionglobal | Input / 1M$0.68 | Output / 1M$2.09 | Context1M | Updated |
| ProviderOpenCode | Provider model IDmistral-large-4 | Regionglobal | Input / 1M$0.68 | Output / 1M$2.09 | Context524.3K | Updated |
| ProviderStandard Compute | Provider model IDmistralai/mistral-large-4-0 | Regionglobal | Input / 1M$0.68 | Output / 1M$2.09 | Context1M | Updated |
| ProviderCortecs | Provider model IDmistral-large-4-0 | Regionglobal | Input / 1M$0.765 | Output / 1M$2.35 | Context1M | Updated |
| ProviderOpenRouter | Provider model IDmistralai/mistral-large-4-0 | Regionglobal | Input / 1M$1.36 | Output / 1M$4.18 | Context1M | Updated |
| ProviderVercel AI Gateway | Provider model IDmistral/mistral-large-4 | Regionglobal | Input / 1M$1.36 | Output / 1M$4.18 | Context524.3K | Updated |
| ProviderMistral | Provider model IDmistral-large-4 | Regionglobal | Input / 1M$1.36 | Output / 1M$4.18 | Context1M | Updated |
| ProviderLLM Gateway | Provider model IDmistral/mistral-large-4 | Regionglobal | Input / 1M$1.36 | Output / 1M$4.18 | Context1M | Updated |
| ProviderDevPass (LLM Gateway) | Provider model IDmistral-large-4 | Regionglobal | Input / 1M$1.36 | Output / 1M$4.18 | Context1M | Updated |
| ProviderCommandCode | Provider model IDmistral/mistral-large-4 | Regionglobal | Input / 1M$1.36 | Output / 1M$4.18 | Context524.3K | Updated |
| ProviderLowRouter | Provider model IDauto/mistralai/mistral-large-4 | Regionglobal | Input / 1M$1.44 | Output / 1M$4.42 | Context524.3K | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for Mistral Large 4. Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionMistral Large 4 | Released | LLMBoard74.44 | Parameters1.1T | Context1M | Max outputN/A | Open weightsNo | LicenseProprietary |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Mistral Large 4 and its available data.
Mistral Large 4 is a 1T-parameter multimodal mixture-of-experts (MoE) large language model from Mistral AI. It is intended for reasoning, coding, and agentic work.
Data as of 2026-10-22.
Common questions about Mistral Large 4.
Mistral Large 4's default version was released on Oct 6, 2026.
Mistral Large 4's official API price is $1.36 per million input tokens and $4.18 per million output tokens via Mistral. The lowest tracked third-party offer starts at $0.68 input and $2.09 output via Requesty.
Mistral Large 4 was created by Mistral AI.
The default version has a 1M token context window.
No. The default version is not marked as having publicly available weights.
13 provider offerings are linked to the default version.