Model Comparison

DeepSeek-V3 vs Ministral 8B Instruct

DeepSeek-V3 significantly outperforms across most benchmarks. Ministral 8B Instruct is 4.8x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V3 outperforms in 1 benchmarks (MMLU), while Ministral 8B Instruct is better at 0 benchmarks.

DeepSeek-V3 significantly outperforms across most benchmarks.

Wed Apr 08 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Ministral 8B Instruct costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 2.7x more expensive than Ministral 8B Instruct ($0.10/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 11.0x more expensive than Ministral 8B Instruct ($0.10/1M tokens).

In conclusion, DeepSeek-V3 is more expensive than Ministral 8B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Apr 08 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
Mistral AI
Ministral 8B Instruct
Input tokens$0.10
Output tokens$0.10
Best providerMistral
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

663.0B diff

DeepSeek-V3 has 663.0B more parameters than Ministral 8B Instruct, making it 8266.8% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
Mistral AI
Ministral 8B Instruct
8.0Bparameters
671.0B
DeepSeek-V3
8.0B
Ministral 8B Instruct

Context Window

Maximum input and output token capacity

DeepSeek-V3 accepts 131,072 input tokens compared to Ministral 8B Instruct's 128,000 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while Ministral 8B Instruct is limited to 128,000 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Mistral AI
Ministral 8B Instruct
Input128,000 tokens
Output128,000 tokens
Wed Apr 08 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Ministral 8B Instruct uses Mistral Research License.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Ministral 8B Instruct

Mistral Research License

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Ministral 8B Instruct was released on 2024-10-16.

DeepSeek-V3 is 2 months newer than Ministral 8B Instruct.

DeepSeek-V3

Dec 25, 2024

1.3 years ago

2mo newer
Ministral 8B Instruct

Oct 16, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V3 is available from DeepSeek. Ministral 8B Instruct is available from Mistral AI.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

Ministral 8B Instruct

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (131,072 tokens)
Higher MMLU score (88.5% vs 65.0%)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
Mistral AI
Ministral 8B Instruct

FAQ

Common questions about DeepSeek-V3 vs Ministral 8B Instruct

DeepSeek-V3 significantly outperforms across most benchmarks. DeepSeek-V3 is made by DeepSeek and Ministral 8B Instruct is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Ministral 8B Instruct scores MT-Bench: 83.0%, Winogrande: 75.3%, ARC-C: 71.9%, Arena Hard: 70.9%, MBPP pass@1: 70.0%.
Ministral 8B Instruct is 2.7x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. Ministral 8B Instruct costs $0.10/M input and $0.10/M output via mistral.
DeepSeek-V3 supports 131K tokens and Ministral 8B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 128K), input pricing ($0.27 vs $0.10/M), licensing (MIT + Model License (Commercial use allowed) vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3 is developed by DeepSeek and Ministral 8B Instruct is developed by Mistral AI.