Ministral 8B Instruct logo

Ministral 8B Instruct

Mistral AI

The Ministral-8B-Instruct-2410 is a fine-tuned instruction-following model designed for superior local and on-device intelligence, as well as edge computing applications. It demonstrates a marked performance increase compared to other models with similar parameters.

Model Specifications

Technical details and capabilities of Ministral 8B Instruct

Core Specifications

8.0B Parameters

Model size and complexity

128.0K / 128.0K

Input / Output tokens

October 15, 2024

Release date

Capabilities & License

Multimodal Support
Not Supported
Web Hydrated
No
License
Mistral Research License

Resources

API Reference
https://huggingface.co/mistralai/Ministral-8B-Instruct-2410

Performance Insights

Check out how Ministral 8B Instruct handles various AI tasks through comprehensive benchmark results.

90
68
45
23
0
83
MT-Bench
83
(92%)
75.3
Winogrande
75.3
(84%)
71.9
ARC Challenge
71.9
(80%)
70.9
Arena Hard
70.9
(79%)
70
MBPP pass@1
70
(78%)
65.5
TriviaQA
65.5
(73%)
65
MMLU
65
(72%)
57.5
French MMLU
57.5
(64%)
54.5
MATH
54.5
(61%)
52
CRAG
52
(58%)
48.3
AGI Eval
48.3
(54%)
34.8
HumanEval
34.8
(39%)
33
HELMET LongQA
33
(37%)
19.2
FinanceBench
19.2
(21%)
17.5
LongBench
17.5
(19%)
MT-Bench
Winogrande
ARC Challenge
Arena Hard
MBPP pass@1
TriviaQA
MMLU
French MMLU
MATH
CRAG
AGI Eval
HumanEval
HELMET LongQA
FinanceBench
LongBench

Model Comparison

See how Ministral 8B Instruct stacks up against other leading models across key performance metrics.

80
64
48
32
16
0
70.9
Arena Hard - Ministral 8B Instruct
70.9
(89%)
65.8
Arena Hard - Llama 3.3 70B Instruct
65.8
(82%)
33.1
Arena Hard - Command R+
33.1
(41%)
28.2
Arena Hard - Llama 3.1 8B Instruct
28.2
(35%)
51.2
Arena Hard - Jamba 1.6 Mini
51.2
(64%)
76.5
Arena Hard - Jamba 1.6 Large
76.5
(96%)
52
CRAG - Ministral 8B Instruct
52
(65%)
61.7
CRAG - Llama 3.3 70B Instruct
61.7
(77%)
49.4
CRAG - Command R+
49.4
(62%)
60
CRAG - Llama 3.1 8B Instruct
60
(75%)
76.2
CRAG - Jamba 1.6 Mini
76.2
(95%)
78.2
CRAG - Jamba 1.6 Large
78.2
(98%)
19.2
FinanceBench - Ministral 8B Instruct
19.2
(24%)
20
FinanceBench - Llama 3.3 70B Instruct
20
(25%)
13.3
FinanceBench - Command R+
13.3
(17%)
28.4
FinanceBench - Llama 3.1 8B Instruct
28.4
(36%)
45.4
FinanceBench - Jamba 1.6 Mini
45.4
(57%)
64.5
FinanceBench - Jamba 1.6 Large
64.5
(81%)
33
HELMET LongQA - Ministral 8B Instruct
33
(41%)
52.8
HELMET LongQA - Llama 3.3 70B Instruct
52.8
(66%)
44.8
HELMET LongQA - Command R+
44.8
(56%)
29.2
HELMET LongQA - Llama 3.1 8B Instruct
29.2
(37%)
46.9
HELMET LongQA - Jamba 1.6 Mini
46.9
(59%)
56.7
HELMET LongQA - Jamba 1.6 Large
56.7
(71%)
17.5
LongBench - Ministral 8B Instruct
17.5
(22%)
21.7
LongBench - Llama 3.3 70B Instruct
21.7
(27%)
18.9
LongBench - Command R+
18.9
(24%)
17.7
LongBench - Llama 3.1 8B Instruct
17.7
(22%)
32
LongBench - Jamba 1.6 Mini
32
(40%)
38.8
LongBench - Jamba 1.6 Large
38.8
(49%)
Arena Hard
CRAG
FinanceBench
HELMET LongQA
LongBench
Ministral 8B Instruct
Llama 3.3 70B Instruct
Command R+
Llama 3.1 8B Instruct
Jamba 1.6 Mini
Jamba 1.6 Large

Detailed Benchmarks

Dive deeper into Ministral 8B Instruct's performance across specific task categories. Expand each section to see detailed metrics and comparisons.

Coding

HumanEval

Current model
Other models
Avg (58.4%)

Non categorized

Winogrande

Current model
Other models
Avg (82.2%)

TriviaQA

Current model
Other models
Avg (78.0%)

FinanceBench

Current model
Other models
Avg (31.8%)

HELMET LongQA

Current model
Other models
Avg (41.4%)

LongBench

Current model
Other models
Avg (25.9%)

Providers Pricing Coming Soon

We're working on gathering comprehensive pricing data from all major providers for Ministral 8B Instruct. Compare costs across platforms to find the best pricing for your use case.

OpenAI
Anthropic
Google
Mistral AI
Cohere

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