Mistral has launched a newer model, Mistral Large 2 (Nov), we suggest considering this model instead.
For more information, see Comparison of Mistral Large 2 (Nov) to other models and API provider benchmarks for Mistral Large 2 (Nov).
Mistral Large 2 (Jul '24) Intelligence, Performance & Price Analysis
Model summary
Intelligence
Speed
Input Price
USD per 1M tokens
Cache: $2.00 (-0%)
Output Price
Verbosity
Mistral Large 2 (Jul '24) is below average in intelligence and particularly expensive when comparing to other open weight non-reasoning models of similar size. The model has a 128k tokens context window.
Mistral Large 2 (Jul '24) scores 13 on the Artificial Analysis Intelligence Index, placing it below average among comparable models (averaging 13).
Pricing for Mistral Large 2 (Jul '24) is $2.00 per 1M input tokens (expensive, average: $0.20) and $6.00 per 1M output tokens (expensive, average: $0.56).
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: This information is still being updated |
| Output modality | This information is still being updated |
| Context window | 128k ~192 A4 pages of size 12 Arial font |
| Total parameters | 123B |
| License | Mistral Research License |
| Model weights | Hugging Face |
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
Highlights
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Agentic real-world work tasks, (ELO-500)/2000
Agentic coding & terminal use
Agentic tool use
Long context reasoning
Knowledge
1 - hallucination rate
Reasoning & knowledge
Scientific reasoning
Coding
Instruction following
Physics reasoning
Long-horizon agentic tasks
Visual reasoning
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
PricingPricing now includes “Cache Hit Price” with new blend ratios.
Pricing: Cache Hit, Input, and Output
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
Frequently Asked Questions
Common questions about Mistral Large 2 (Jul '24)
Mistral Large 2 (Jul '24) was released on July 24, 2024.
Mistral Large 2 (Jul '24) was created by Mistral.
Mistral Large 2 (Jul '24) scores 13 (estimated) on the Artificial Analysis Intelligence Index, placing it above average among other open weight non-reasoning models of similar size (median: 13).
Mistral Large 2 (Jul '24) costs $2.00 per 1M input tokens (at the higher end, median: $0.45) and $6.00 per 1M output tokens (at the higher end, median: $0.90), based on the median across providers serving the model.
Mistral Large 2 (Jul '24) costs $2.00 per 1M input tokens and $6.00 per 1M output tokens (based on the median across providers serving the model). For a blended rate (7:2:1 cache hit/input/output ratio), this is $2.40 per 1M tokens. Pricing may vary by provider. Compare provider pricing
No, Mistral Large 2 (Jul '24) is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Mistral Large 2 (Jul '24) supports text only input.
Mistral Large 2 (Jul '24) supports text only output.
No, Mistral Large 2 (Jul '24) does not support image input. It can only process text.
No, Mistral Large 2 (Jul '24) is not multimodal. It only supports text only input.
Mistral Large 2 (Jul '24) has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Mistral Large 2 (Jul '24) is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Mistral Large 2 (Jul '24) has 123 billion parameters.
Mistral Large 2 (Jul '24) is released under the Mistral Research License license. Commercial use requires a separate license agreement. View license
Mistral Large 2 (Jul '24) achieves a score of 13 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Mistral Large 2 (Jul '24) is an open weights model that can be self-hosted. View providers
Mistral Large 2 (Jul '24) is an open weights model that can be downloaded and self-hosted. Compare providers