Model Comparison

DeepSeek-V3.1 vs Mistral Small 3 24B Instruct

DeepSeek-V3.1 significantly outperforms across most benchmarks. Mistral Small 3 24B Instruct is 5.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3.1 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Mistral Small 3 24B Instruct is better at 0 benchmarks.

DeepSeek-V3.1 significantly outperforms across most benchmarks.

Wed Apr 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Small 3 24B Instruct costs less

For input processing, DeepSeek-V3.1 ($0.27/1M tokens) is 3.9x more expensive than Mistral Small 3 24B Instruct ($0.07/1M tokens).

For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 7.1x more expensive than Mistral Small 3 24B Instruct ($0.14/1M tokens).

In conclusion, DeepSeek-V3.1 is more expensive than Mistral Small 3 24B Instruct.*

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

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
Mistral AI
Mistral Small 3 24B Instruct
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

647.0B diff

DeepSeek-V3.1 has 647.0B more parameters than Mistral Small 3 24B Instruct, making it 2695.8% larger.

DeepSeek
DeepSeek-V3.1
671.0Bparameters
Mistral AI
Mistral Small 3 24B Instruct
24.0Bparameters
671.0B
DeepSeek-V3.1
24.0B
Mistral Small 3 24B Instruct

Context Window

Maximum input and output token capacity

DeepSeek-V3.1 accepts 163,840 input tokens compared to Mistral Small 3 24B Instruct's 32,000 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while Mistral Small 3 24B Instruct is limited to 32,000 tokens.

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Mistral AI
Mistral Small 3 24B Instruct
Input32,000 tokens
Output32,000 tokens
Wed Apr 22 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.1 is licensed under MIT, while Mistral Small 3 24B Instruct uses Apache 2.0.

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

DeepSeek-V3.1

MIT

Open weights

Mistral Small 3 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while Mistral Small 3 24B Instruct was released on 2025-01-30.

Mistral Small 3 24B Instruct is 1 month newer than DeepSeek-V3.1.

DeepSeek-V3.1

Jan 10, 2025

1.3 years ago

Mistral Small 3 24B Instruct

Jan 30, 2025

1.2 years ago

2w newer

Knowledge Cutoff

When training data ends

Mistral Small 3 24B Instruct has a documented knowledge cutoff of 2023-10-01, while DeepSeek-V3.1's cutoff date is not specified.

We can confirm Mistral Small 3 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without DeepSeek-V3.1's cutoff date.

DeepSeek-V3.1

—

Mistral Small 3 24B Instruct

Oct 2023

Provider Availability

DeepSeek-V3.1 is available from DeepInfra, Novita. Mistral Small 3 24B Instruct is available from DeepInfra, Mistral AI.

DeepSeek-V3.1

deepinfra logo
Deepinfra
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M

Mistral Small 3 24B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M
mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
Higher GPQA score (74.9% vs 45.3%)
Higher MMLU-Pro score (83.7% vs 66.3%)
Mistral AI
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.1
Mistral AI
Mistral Small 3 24B Instruct

FAQ

Common questions about DeepSeek-V3.1 vs Mistral Small 3 24B Instruct

DeepSeek-V3.1 significantly outperforms across most benchmarks. DeepSeek-V3.1 is made by DeepSeek and Mistral Small 3 24B Instruct is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%. Mistral Small 3 24B Instruct scores Arena Hard: 87.6%, HumanEval: 84.8%, MT-Bench: 83.5%, IFEval: 82.9%, MATH: 70.6%.
Mistral Small 3 24B Instruct is 3.9x cheaper for input tokens. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output via deepinfra. Mistral Small 3 24B Instruct costs $0.07/M input and $0.14/M output via deepinfra.
DeepSeek-V3.1 supports 164K tokens and Mistral Small 3 24B Instruct supports 32K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (164K vs 32K), input pricing ($0.27 vs $0.07/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3.1 is developed by DeepSeek and Mistral Small 3 24B Instruct is developed by Mistral AI.