# Mistral Large 4 Preview Intelligence, Performance and Price Analysis > Source: > Published: 2026-10-06 19:24:35+00:00 # Mistral Large 4 Preview Intelligence, Performance & Price Analysis ### Model summary Mistral Large 4 Preview is above average in intelligence and well priced when comparing to other models of similar price. It's also faster than average, however very verbose. The model supports text and image input, outputs text, and has a 524k tokens context window. Mistral Large 4 Preview scores 38 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (median: 26). When evaluating the Intelligence Index, it generated 200M tokens, which is very verbose in comparison to the median of 81M. Pricing for Mistral Large 4 Preview is $1.36 per 1M input tokens (moderately priced, median: $2.00) and $4.18 per 1M output tokens (competitively priced, median: $10.00). On average, it costs $1.13 per task to evaluate Mistral Large 4 Preview on the Intelligence Index. At 116 tokens per second, Mistral Large 4 Preview is faster than average (87). | Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. | |---|---| | Input modality | Supports: text and image | | Output modality | Supports: text | | Context window | 524k ~786 A4 pages of size 12 Arial font | Metrics are compared against models of the same class: - Non-reasoning models → compared only with other non-reasoning models - Reasoning models → compared across both reasoning and non-reasoning - Open weights models → compared only with other open weights models of the same size class: - Tiny: ≤4B parameters - Small: 4B–40B parameters - Medium: 40B–150B parameters - Large: >150B parameters - Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio: - <$0.15 per 1M tokens - $0.15–$1 per 1M tokens - >$1 per 1M tokens ## IntelligenceUpdated ### [Artificial Analysis Intelligence Index](https://artificialanalysis.ai/evaluations/artificial-analysis-intelligence-index) ### Artificial Analysis Intelligence Index by Open Weights / Proprietary Measures the performance of models on specific capabilities and industries ### [Artificial Analysis Finance & Accounting Index](https://artificialanalysis.ai/models/capabilities/finance-and-accounting) ### Intelligence Evaluations [AA-Briefcase v1.1](https://artificialanalysis.ai/evaluations/aa-briefcase)Updated Agentic knowledge work, (Elo-500)/2000 [GDPval-AA v2.1](https://artificialanalysis.ai/evaluations/gdpval-aa)Updated Agentic real-world work tasks, (Elo-500)/2000 Agentic SaaS workflows Agentic coding & terminal use [SciCode](https://artificialanalysis.ai/evaluations/scicode)Under review Coding Reasoning & knowledge Professional document reasoning, All-pass [CritPt](https://artificialanalysis.ai/evaluations/critpt)Under review Physics reasoning Knowledge 1 - hallucination rate Long context reasoning Legal agentic work, criterion pass rate Agentic business operations Agentic scientific research workflows in a terminal Quantitative analysis on spreadsheets & documents Kubernetes incident root-cause analysis Visual reasoning Medical long context reasoning ### AA-Briefcase v1.1Updated ### AA-Briefcase Elo ### AA-Omniscience ### AA-Omniscience Index ## Intelligence Index Comparisons ### Intelligence Index vs. Cost per Intelligence Index Task ## Token Use ### Output Tokens per Intelligence Index Task ## Cost ### Cost per Intelligence Index Task ### Cost to Run Artificial Analysis Intelligence Index ### Pricing: Cache Hit, Input, and Output ## Context Window ### Context Window ## Speed Measured by Output Speed (tokens per second) ### Output Speed ### Time per Intelligence Index Task ## Latency Measured by Time (seconds) to First Token ### Latency: Time To First Answer Token ## End-to-End Response Time Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed ### End-to-End Response Time ## Frequently Asked Questions Common questions about Mistral Large 4 Preview Mistral Large 4 Preview was released on October 6, 2026. Mistral Large 4 Preview was created by Mistral. Mistral Large 4 Preview scores 38 on the Artificial Analysis Intelligence Index, placing it above average among other reasoning models in a similar price tier (median: 26). Mistral Large 4 Preview generates output at 116.1 tokens per second (based on Mistral's API), which is above average compared to other reasoning models in a similar price tier (median: 87.4 t/s). Mistral Large 4 Preview has a time to first token (TTFT) of 1.46s (based on Mistral's API), which is very competitive compared to other reasoning models in a similar price tier (median: 3.84s). Mistral Large 4 Preview costs $1.36 per 1M input tokens (better than average, median: $2.00) and $4.18 per 1M output tokens (very competitive, median: $10.00), based on Mistral's API. Mistral Large 4 Preview costs $1.36 per 1M input tokens and $4.18 per 1M output tokens (based on Mistral's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.79 per 1M tokens. Pricing may vary by provider. [Compare provider pricing](https://artificialanalysis.ai/models/mistral-large-4/providers) When evaluated on the Intelligence Index, Mistral Large 4 Preview generated 200M output tokens, which is at the higher end compared to other reasoning models in a similar price tier (median: 81M). Yes, Mistral Large 4 Preview is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer. Mistral Large 4 Preview supports text and image input. Mistral Large 4 Preview supports text output. Yes, Mistral Large 4 Preview supports image input and can analyze, describe, and answer questions about images. Yes, Mistral Large 4 Preview is multimodal. It can process text and image input and generate text output. Mistral Large 4 Preview has a context window of 520k tokens. This determines how much text and conversation history the model can process in a single request. No, Mistral Large 4 Preview is proprietary. The model weights are not publicly available. Mistral Large 4 Preview has 1 trillion parameters. Mistral Large 4 Preview achieves a score of 38 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding. Yes, Mistral Large 4 Preview is available via API through 2 providers. [Compare API providers](https://artificialanalysis.ai/models/mistral-large-4/providers) Mistral Large 4 Preview is available through 2 API providers. [Compare providers](https://artificialanalysis.ai/models/mistral-large-4/providers)