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Mistral 7B Instruct v0.1

by Mistral AI · Released Sep 2023

Open Source
18.0
avg score
Rank #285
Compare
Better than 9% of all models
Context
3K tokens (~1 books)
Input $/1M
$0.11
Output $/1M
$0.19
Type
text
License
Open Source
Benchmarks
6 tested
Data as of
About

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%).

Capabilities
reasoning
6.1
#201 globally
math
2.3
#271 globally
knowledge
7.9
#290 globally
language
44.9
#127 globally
general
7.6
#200 globally
Benchmark Scores
Compare All
Tested on 6 benchmarks · Ranked across 5 categories
Score Distribution (all 312 models)
0255075100
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MUSR

HuggingFace MuSR (Multi-Step Reasoning). Tests multi-hop reasoning requiring chaining multiple facts together.

6.1·
MATH Level 5

HuggingFace evaluation of MATH Level 5 problems. Competition math requiring advanced reasoning and proof construction.

2.3·
MMLU-PRO

HuggingFace MMLU-Pro. Harder version of MMLU with 10 answer choices instead of 4 and more challenging questions.

15.7·
GPQA

HuggingFace evaluation of GPQA (Graduate-Level Google-Proof Q&A). PhD-level science questions that cannot be easily searched.

0.0·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
Community
BenchGecko API
mistral-7b-instruct-v0-1
Specifications
  • Typetext
  • Context3K tokens (~1 books)
  • ReleasedSep 2023
  • LicenseOpen Source
  • StatusActive
  • Cost / Message~$0.000
Available On
Mistral AI logoMistral AI$0.11
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Mistral 7B Instruct v0.1 is an open-source text AI model by Mistral AI, released in September 2023. It has an average benchmark score of 18.0. Context window: 3K tokens.

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