Context Window
—
Input Price/1M
$0.20
Output Price/1M
$0.23
Parameters
—
Speed
122 tok/s
Latency (TTFT)
387ms
Mistral 7B Instruct results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 5.0 | 100.0 | Artificial Analysis official API |
| SciCode | 2.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 25.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 0.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 12.1 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| HF Average | 22.3 | 100.0 | HuggingFace Open LLM Leaderboard v2 |
| AA Intelligence Index | 7.4 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 24.5 | 100.0 | Artificial Analysis official API |
| IFBench | 20.0 | 100.0 | — |
| GPQA Diamond | 18.0 | 100.0 | Artificial Analysis official API |
| HLE | 4.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 0.0 | 100.0 | — |
Mistral 7B Instruct is an AI model developed by Mistral, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Mistral's cloud API.
Mistral 7B Instruct is usage-based, priced at $0.2/1M input tokens and $0.225/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Mistral 7B Instruct was evaluated on 12 different benchmarks, covering categories like Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Mistral 7B Instruct specializes in text, offering advanced capabilities for creating and processing text content.
In the 2026 AI model ecosystem, Mistral 7B Instruct competes directly with similarly capable models. Mistral competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Mistral 7B Instruct is an AI model developed by Mistral. It is a text model.
Mistral 7B Instruct costs $0.2/1M input tokens and $0.225/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, Mistral 7B Instruct scored: LiveCodeBench: 5/100, SciCode: 2/100, MMLU-Pro: 25/100. See the full table above for a detailed comparison.
No, Mistral 7B Instruct is a proprietary model from Mistral. It is available via cloud API. For open source alternatives, check our open source model ranking.
Mistral 7B Instruct excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →