A 7.3B parameter model that outperforms Llama 2 13B on all benchmarks, with optimizations for speed and context length.
Tested on 6 benchmarks · BenchGecko score 18.0. Top scores: IFEval (44.9%), MMLU-PRO (15.7%), BBH (HuggingFace) (7.7%).
HuggingFace MuSR (Multi-Step Reasoning). Tests multi-hop reasoning requiring chaining multiple facts together.
HuggingFace evaluation of MATH Level 5 problems. Competition math requiring advanced reasoning and proof construction.
HuggingFace MMLU-Pro. Harder version of MMLU with 10 answer choices instead of 4 and more challenging questions.
HuggingFace evaluation of GPQA (Graduate-Level Google-Proof Q&A). PhD-level science questions that cannot be easily searched.
- Typetext
- Context3K tokens (~1 books)
- ReleasedSep 2023
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.000
Frequently Asked Questions
Key facts · as of 2026-05-03
- Mistral 7B Instruct v0.1 by Mistral AI. BenchGecko score 18.0, rank 285 of 312 scored models (normalized average of public benchmark scores).
- List price $0.11 input · $0.19 output per 1M tokens (as of 2026-05-03).
How to cite · data as of 2026-05-03
Mistral 7B Instruct v0.1 · benchmarks, pricing and providers. BenchGecko, data as of 2026-05-03. https://benchgecko.ai/model/mistral-7b-instruct-v0-1
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP