
Mistral Large 3 Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
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
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text, image |
| Output modality | Supports: text |
| Context window | 256k ~384 A4 pages of size 12 Arial font |
| Total parameters | 675B |
| Active parameters | 41B Number of parameters active per token during inference |
| License | Apache 2.0 |
| Model weights | Hugging Face |
Mistral Large 3 is above average in intelligence and reasonably priced when comparing to other open weight non-reasoning models of similar size. It's also slower than average, however fairly concise. The model supports text and image input, outputs text, and has a 256k tokens context window.
Mistral Large 3 scores 23 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (averaging 22). When evaluating the Intelligence Index, it generated 5.2M tokens, which is fairly concise in comparison to the average of 8.1M.
Pricing for Mistral Large 3 is $0.50 per 1M input tokens (moderately priced, average: $0.56) and $1.50 per 1M output tokens (moderately priced, average: $1.59). In total, it cost $38.67 to evaluate Mistral Large 3 on the Intelligence Index.
At 48 tokens per second, Mistral Large 3 is slower than average (55).
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of Mistral Large 3 API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
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
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Comparisons to Mistral Large 3
Mistral Large 3gpt-oss-20B (high)
gpt-oss-120B (high)
GPT-5.2 (xhigh)
GPT-5.4 (xhigh)
GPT-5.4 Pro (xhigh)
GPT-5.3 Codex (xhigh)
Llama 4 Maverick
Gemini 3.1 Flash-Lite Preview
Gemini 3.1 Pro Preview
Gemini 3 Flash
Claude Sonnet 4.6 (max)
Claude Opus 4.6 (max)
Claude 4.5 Haiku
DeepSeek V3.2
Grok 4.1 Fast
Grok 4.20 Beta 0309
Nova 2.0 Pro Preview (medium)
MiniMax-M2.5
NVIDIA Nemotron 3 Super
NVIDIA Nemotron 3 Nano
Kimi K2.5
K-EXAONEMiMo-V2-Flash (Feb 2026)
K2 Think V2
Mi:dm K 2.5 ProGLM-5
Qwen3.5 397B A17B
Frequently Asked Questions
Common questions about Mistral Large 3
Mistral Large 3 was released on December 2, 2025.
Mistral Large 3 was created by Mistral.
Mistral Large 3 scores 23 on the Artificial Analysis Intelligence Index, placing it above average among other open weight non-reasoning models of similar size (median: 22).
Mistral Large 3 generates output at 48.0 tokens per second (based on Mistral's API), which is below average compared to other open weight non-reasoning models of similar size (median: 54.9 t/s).
Mistral Large 3 has a time to first token (TTFT) of 1.03s (based on Mistral's API), which is very competitive compared to other open weight non-reasoning models of similar size (median: 1.80s).
Mistral Large 3 costs $0.50 per 1M input tokens (better than average, median: $0.60) and $1.50 per 1M output tokens (better than average, median: $2.33), based on Mistral's API.
Mistral Large 3 costs $0.50 per 1M input tokens and $1.50 per 1M output tokens (based on Mistral's API). For a blended rate (3:1 input to output ratio), this is $0.75 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Mistral Large 3 generated 5.2M output tokens, which is better than average compared to other open weight non-reasoning models of similar size (median: 8.1M).
No, Mistral Large 3 is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Mistral Large 3 supports text and image input.
Mistral Large 3 supports text output.
Yes, Mistral Large 3 supports image input and can analyze, describe, and answer questions about images.
Yes, Mistral Large 3 is multimodal. It can process text and image input and generate text output.
Mistral Large 3 has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Mistral Large 3 is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Mistral Large 3 has 675 billion parameters (41 billion active).
Mistral Large 3 is a Mixture of Experts (MoE) model with 675 billion total parameters, but only 41 billion active parameters are used during inference.
Mistral Large 3 is released under the Apache 2.0 license. This license allows commercial use. View license
Mistral Large 3 achieves a score of 23 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Mistral Large 3 is available via API through 3 providers. Compare API providers
Mistral Large 3 is available through 3 API providers. Compare providers