Mistral 7B Instruct Intelligence, Performance & Price Analysis
Model summary
Intelligence
Speed
Input Price
USD per 1M tokens
Output Price
Verbosity
Mistral 7B Instruct is among the least intelligent models and somewhat expensive when comparing to other open weight non-reasoning models of similar size. The model has a 8k tokens context window.
Mistral 7B Instruct scores 7 on the Artificial Analysis Intelligence Index, placing it at the lower end among comparable models (averaging 12).
Pricing for Mistral 7B Instruct is $0.20 per 1M input tokens (expensive, average: $0.05) and $0.23 per 1M output tokens (somewhat expensive, average: $0.15).
At 162 tokens per second, Mistral 7B Instruct is faster than average (120).
| 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 | 8k ~12 A4 pages of size 12 Arial font |
| Total parameters | 7B |
| License | Apache 2.0 |
| 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
Pricing
Pricing now includes a “Cache Hit Price” alongside Input and Output pricing, 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 7B Instruct
Mistral 7B Instruct was released on September 27, 2023.
Mistral 7B Instruct was created by Mistral.
Mistral 7B Instruct scores 7 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight non-reasoning models of similar size (median: 12).
Mistral 7B Instruct generates output at 161.8 tokens per second (based on Mistral's API), which is well above average compared to other open weight non-reasoning models of similar size (median: 119.5 t/s).
Mistral 7B Instruct has a time to first token (TTFT) of 0.63s (based on Mistral's API), which is very competitive compared to other open weight non-reasoning models of similar size (median: 1.69s).
Mistral 7B Instruct costs $0.20 per 1M input tokens (somewhat higher than average, median: $0.14) and $0.23 per 1M output tokens (better than average, median: $0.25), based on Mistral's API.
Mistral 7B Instruct costs $0.20 per 1M input tokens and $0.23 per 1M output tokens (based on Mistral's API). For a blended rate (3:1 input to output ratio), this is $0.21 per 1M tokens. Pricing may vary by provider. Compare provider pricing
No, Mistral 7B Instruct is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Mistral 7B Instruct supports text only input.
Mistral 7B Instruct supports text only output.
No, Mistral 7B Instruct does not support image input. It can only process text.
No, Mistral 7B Instruct is not multimodal. It only supports text only input.
Mistral 7B Instruct has a context window of 8.2k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Mistral 7B Instruct is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Mistral 7B Instruct has 7 billion parameters.
Mistral 7B Instruct is released under the Apache 2.0 license. This license allows commercial use. View license
Mistral 7B Instruct achieves a score of 7 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Mistral 7B Instruct is an open weights model that can be self-hosted. View providers
Mistral 7B Instruct is an open weights model that can be downloaded and self-hosted. Compare providers